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synthetic and scalable data platform for medical empowered ai | aisym4med aims at developing a platform that will provide healthcare data engineers practitioners and researchers access to a trustworthy dataset system augmented with controlled data synthesis for experimentation and modeling purposes this platform will address data privacy and security by combining new anonymization techniques attributebased privacy measures and trustworthy tracking systems moreover data quality controlling measures such as unbiased data and respect to ethical norms contextaware search and humancentered design for validation purposes will also be implemented to guarantee the representativeness of the synthetic data generated indeed an augmentation module will be responsible for exploring and developing further the techniques of creating synthetic data also dynamically on demand for specific use cases furthermore this platform will exploit federated technologies for reproducing unindentifiable data from closed borders promoting the indirect assessment of a broader number of databases while respecting the privacy security and gdprcompliant guidelines the proposed framework will support the development of innovative unbiased aibased and distributed tools technologies and digital solutions for the benefit of researchers patients and providers of health services while maintaining a high level of data privacy and ethical usage aisym4med will help in the creation of more robust machine learning ml algorithms for realworld readiness while considering the most effective computation configuration furthermore a machinelearning metaengine will provide information on the quality of the generalized model by analyzing its limits and breaking points contributing to the creation of a more robust system by supplying ondemand real andor synthetic data this platform will be validated against local national and crossborder usecases for both data engineers ml developers and aid for clinicians operations |
new routes for the solution nmr investigations of extra large biomolecular assemblies | the cell is a collection of dynamic molecular machines nmr spectroscopy is the method of choice to observe at atomic resolution complex conformational changes transient interactions and dynamics of proteins introduction of methyl specific labelling technology has enabled solution nmr studies of protein assemblies of several hundred kda however this strategy is mostly restricted to symmetrical and thermostable protein assemblies precluding applications to large medically relevant biological complexes the increases of linewidths and the high number of signal overlaps hamper the nmr spectra analysis of most heterooligomeric large assemblies studied at room temperature in this project we will develop two complementary concepts to significantly simplify both nmr spectra and corresponding site specific analysis we will build a multisite specific labelling method enabling observation of nmr signals only for the sites of interest in a large protein complex we will invent a combinatorial strategy to reduce the time required for sitespecific identification of each individual nmr signal from a few months to a few hours new 1hfrequencies edition schemes will be introduced to enhance significantly the nmr spectras resolution of very slow tumbling biological particles these groundbreaking nmr methods will be validated using therapeutic antibodies 150 kda ribosome 24 mda samples and will be used directly to capture the mechanisms of atpfueled human chaperonin 1 mda in complex with the aggregation prone form of huntingtin this project will provide new technological breakthroughs to push biological applications of nmr significantly beyond its current boundaries we anticipate that the simplification of the nmr analysis resulting from the new developed nmr routes will transform the solution nmr spectroscopy in a very competitive method to study large medically relevant biomolecular assemblies and molecular machines so far considered as untargetable |
a europeanwide foundation to accelerate datadriven cancer research | cancer complex nature requires integration of advanced research data across national boundaries to enable progress indeed the horizon europe mission board for cancer has identified access to data knowledge and digital services accessible across the european research area through federated infrastructures as a key enabling condition for success the better we organise cancer data across europe the better and faster we can bring the fruits of new biological and technical innovations to the benefit of eu citizenspatientseosc4cancer will make cancer genomics imaging medical clinical environmental and socioeconomics data accessible using and enhancing existing federated and interoperable systems for securely identifying sharing processing and reusing fair cancer data across borders and it will offer them via communitydriven analysis environmentseosc4cancer provision of well curated datasets will be essential for advanced analytics and computational methods to be reproducible and robust including machine learning and artificial intelligence approaches eosc4cancer usecases will cover the patient journey from cancer prevention to diagnosis to treatment laying the foundation of data trajectories and workflows for future cancer mission projectseosc4cancer brings together a comprehensive consortium of cancer research centres research infrastructures leading research groups hospitals and supercomputing centres from 14 european countries to make the developments sustainable these will be offered as part of the research infrastructures partners services portfolio in connection with the eosc ecosystem and to serve the european cancer mission which will be possible via the engagement with large international coalitions eg icgcargo ga4gh 1mgb1mg cancer core europe european cancer information system european network of cancer registries innovative partnership for action against cancer joint action and patientssurvivors associations |
a catalyst for european cloud services in the era of data spaces highperformance and edge computing | nous will develop the architecture of a european cloud service that allows computational and data storage resources to be used from edge devices as well as supercomputers through the hpc network and quantum computers nous will be an infrastructureasaservice iaasplatformasaservice paas cloud provider harnessing edge computing and decentralisation paradigms to incorporate a wide array of devices and machines in its computational flow to provide leaps in europes capability to process vast amounts of datathe pipeline of the nous in the project will include three types of components i computational components that are responsible for executing computations ii edge components that are responsible for communicating with edge devices such as iot sensors actuators devices iii data storage components that are responsible for data storage and storage management components are researched individually expecting to yield breakthroughs and jointly to create the architecture and cloudlevel services such as syndication with other platforms and virtual labs the project has defined 4 usecases that will allow the testing of the developed technologies in realworld scenarios that industry leaders facethe nous architecture will be made open source to allow the capitalization by companies and organisations furthermore a set of workshops and collaboration activities is envisioned with data spaces support centre gaiax fiware and eosc powered by a strong consortium of 21 partners from 11 european countries |
enabling multi messenger astronomy with a lowlatency lisa data pipeline | in recent years following the first detection of gravitational waves gws we have witnessed the birth of gw astronomy so far there have been more than 50 events recorded providing us with invaluable information about the nature of the merging binaries an exceptional case is the event gw170817 a neutron star merger which was observed with both gravitational and electromagnetic em waves from a single event alone by combining both ways of observation we were able to vastly improve our understanding of such cataclysmic events in the near future in particular in the early 2030s the esa laser interferometer space antenna lisa is going to be launched lisa is a spaceborne gravitationalwave observatory that in contrast to the present groundbased detectors is going to be signaldominated the lisa data will give us the unique opportunity to observe the merger of supermassive black hole binary systems which in combination with the em observations will enable us to push our knowledge boundaries in astronomy astrophysics and cosmology with emilia we aspire to enable multimessenger astronomy with lisa by developing a lowlatency data analysis pipeline based on machine learning techniques our proposed methodology will take into account the source confusion problem of lisa where monochromatic signals and noise artefacts are going to be classified as such and subtracted from the data we will then apply a fast semianalytical algorithm on the residual data in order to swiftly estimate the sky position and time of coalescence of chirping signals such a scheme will enable the synergy of lisa and optical observatories on earth and in space a prime example is that of the lisaathena missions synergy which would probe the existence of electromagnetic counterpart of massive black hole mergers and extreme mass ratio inspirals or phenomena like xray flares disk rebrightening and relativistic jet formations |
coevolutionary consequences of biodiversity change | anthropogenic global change is reshaping planetary biodiversity patterns at an accelerating rate the diverse and nonlinear ways in which species respond to global change can lead to nonobvious alterations in the structure and intensity of species interactions however the extent to which coevolutionary dynamics are disrupted under biodiversity change remains largely unknown interspecific interactions are the key determinants of biodiversity and ecosystem functioning and their modifications can play a critical role in modulating global change effects on ecosystems in this proposal i focus on plantmicrobe associations to uncover how temporal change in plant communities affects interactions with mutualistic and pathogenic microbes both above and belowground by coupling analysis of plant biodiversity timeseries data with contemporary sampling of microbial communities experiments and molecular assays this work will demonstrate how both ecological and coevolutionary dynamics of species interactions are responding to ongoing environmental change specifically i will answer the following key questions 1 how has forest understory vegetation changed in response to changing climate and habitat use over 35 years 2 how does temporal plant community change affect plantassociated microbial communities 3 how have the intensity and efficacy of mutualistic and pathogenic hostmicrobe interactions changed 4 how is coevolutionary selection measured as local adaptation altered following biodiversity change 5 how do ecological and coevolutionary change underpinning species interactions scale up to ecosystem functioning in plantmicrobe communities the obtained results will reveal how vulnerable both pathogenic and essential mutualistic associations are to global anthropogenic change jointly the proposed research provides synthesis of the relative importance of ecological evolutionary and environmental dimensions of biodiversity change |
what makes people targets a multiactor study of how ethnic discrimination is perceived tackled and avoided | despite progressive antidiscrimination legislation and the popularity of diversity policies touted as the key to a culturally diverse workplace discrimination of ethnic minorities in the labor market is remarkably persistent and pervasive targets integrates literature from sociology social psychology organization and sociolegal studies into a novel multiactor and dynamic theoretical framework to examine what makes people targets of ethnic discrimination both conceptually and empirically the key contribution of our approach is that we define and operationalize discrimination claims as inherently relational we test the core proposition that relational claimsmaking is the key mechanism through which discrimination is perceived legitimated or contested by multiple actors we develop and test this theory at two levels of analysis at the macro level we map how structures and practices such as antidiscrimination laws and diversity management policies can confer or deny legitimacy to discrimination claims in the workplace and courtroom these structures may create an illusion of fairness that reproduce durable inequalities in the distribution of organizational resources such as access to jobs and career opportunities we then zoom in on the microfoundations of the claimsmaking process focusing on its relational and dynamic nature respectively first using an innovative research design we pioneer the use of linked multiactor factorial survey experiments to capture the discrimination attributions made by multiple actors targets perpetrators allies and bystanders simultaneously second we collect realtime longitudinal data on the job search strategies that ethnic minorities adopt to avoid becoming targets our dynamic approach improves on existing accounts that all too often treat them as passive labor market agents and contributes to theory development on how supplyside behavior can counteract labor market inequalities |
brain remodeling during sexual differentiation and water to air transition in a hemimetabolous insect | the evolution of the brain deeply transformed the animal kingdom leading to extraordinary animal diversity brain evolution and plasticity were necessary for many major evolutionary changes eg terrestrialization of tetrapods evolution of sociality as well as developmental changes within an organisms life span eg metamorphosis in this project i propose to study the brain remodeling in the mayfly cloeon dipterum whose biology has the advantage of offering us multiple perspectives and insights on brain plasticity i evolutionary perspective mayflies are part of the insect lineage in which wings originated this project will shed light on brain processes controlling wings and flightii developmental perspective mayflies are hemimetabolous insects that present a gradual metamorphosis that nonetheless accompanies a major lifestyle transition from an aquatic juvenile form to an aerial winged adultiii sexual dimorphism the species c dipterum displays significant sexual dimorphism as males have an extra pair of eyes turbanate eyes whose sensory signals need to be processed by the brainusing a combination of single cell transcriptomics scrnaseq in situ hybridisations and drug treatments this project will yield a gene expression atlas of the brain of c dipterum separately for both male and female individuals across multiple points of its life cycle two nymphal stages and two adult stages this atlas will give us information on the brain processes necessary for the water to land evolutionary transition those associated with flight and the acquisition of wings and those underlying the appearance of a new sensory organ the turbanate eyes in males with the data conveniently navigable along annotated chromosomes this study will also establish c dipterum as a model for studying hemimetabolous insect brains and provide a reference for future studies |
at the crossroads of history industry and technology olive oil production in the eastern mediterranean in the late nineteenth century 18391914 | the last twenty years have witnessed an increase in the production of olive oil the last twenty years have witnessed an increase in the production of olive oil in the mediterranean as a consequence of the campaigns of the international olive oil council the proposed research aims at bringing forth an original contribution to this dynamic field by adopting a comparative perspective that concentrates on the history of olive oil production in several most important olive and olive oil producing regions of the eastern mediterranean the analysis will focus on the factories and mills built in the late nineteenth century in the islands of crete and mytilini in greece and the areas of ayvalık edremit and izmir in turkey the historical examination of these factories aims to go beyond the worldsystems theory that focuses on the industrial decline in this region with the advent of european industrial products instead this research proposes to evaluate the modalities and limits of incorporation into the world economy by concentrating on the production of olive oil in terms of adaptability complementarity and rivalry within the economic structure of the period the interdisciplinary approach at the crossroads of history economy and technology will open the way for a more accurate evaluation of the role of industrial and technological developments in the economic life of these regions and their influence on the social life the comparative dimension integrating different olive oil producing regions of the eastern mediterranean will make possible an evaluation of the positions of these regions within the world economic system and the ottoman central governments policies to control the economy of these regions thus by focusing on the olive oil production in eastern mediterranean the proposed study aims to bring an original contribution by highlighting the growing role of the inner dynamics of the eastern mediterranean in economic transformation |
nextgeneration membrane technologies for sustainable exploitation of seawater brine resources transition towards a circular blue industry | the mscadn programme exbrinernextgeneration membrane technologies for sustainable exploitation of seawater brine resources transition towards a circular blue industry is designed to train a new generation of doctoral candidates in membrane engineering by means of a synergic crossfertilization of complementary competences centered on the development of innovative membrane technologies at waterenergyresources nexus for a sustainable valorization of desalination wastes the doctoral programme is implemented through an intersectoral and multidisciplinary network composed by 8 universities 3 research centers and 4 industrial companies two of them are smes from 8 european countries all with recognized excellence in the field of membrane technology based on more than 10 years of joint experience in erasmus mundus joint doctoratemaster in membrane engineering the consortium shares a common infrastructural platform with worldwide recognized excellence for implementing highly competitive and jointly supervised training and research activities those activities oriented towards societal needs of strategic relevance for the european union cover a large spectrum of marketrelevant applications such as sustainable desalination for water supply exploring alternative mineral sources for a secure supply of critical raw materials lowcarbon power technologies based on salinity gradient energy |
synthetic life from the bottom up | life is a mystery with questions about how it emerged and if it exists elsewhere synthetic life can bring us closer to answers to these millenniaold questions it is also extremely powerful to evolve new materials and catalysts similar to directed evolution with bacteria it begs the question can we synthesize lifesynlife aims to synthesize life from manmade molecules following nasas definitionlife is a selfsustaining system capable of darwinian evolutionchemically fueled droplets will be the selfsustaining compartments these selfdividing droplets compete for fuel ie food to thrive and will decay without fuel we will develop selfreplicating molecules that can mutate and partition inside of these droplets so the droplets obtain an identity for example a population of droplets with replicator a differs from a population with replicator b moreover these replicators affect the droplets phenotype for example by helping division or by offering longevity to date the combination of selfsustaining droplets and replicators has never been achievedfinally populations of droplets compete with each other in fuelingstarvation experiments it is expected that from time to time a droplet mutates into a bettersuited one and passes this information on to the next generation if we reach this ambitious goal we have produced a synthetic system capable of darwinian evolutionthe results will mark a massive step forwards in our understanding of life it also sheds new light on the molecular mechanisms that may have played a role in the origin of life it will have implications for the biophysics community too as our findings help understand how additives to droplets affect their properties just like in membraneless organelles but most excitingly synlife will change how we think of material design by introducing darwinian evolution as a manufacturing tool |
navigating the next normal innovative approaches to enhancing youths educationemployment transitions in postcovid19 europe nextup | nextup aims to explore and forecast the longterm impacts of the covid19 crisis on the transition of youth from schooleducation to workemployment ytstw focusing on cocreating evidenceinformed futureoriented policies and programmes alongside innovative stakeholder engagement the project emphasises inclusivity particularly supporting disadvantaged groups for equitable job access to achieve the ambitious goal our interdisciplinary and multiprofile consortium with prominent academic and ngo partners from nine eu countries enhanced with international advisory board applies interdisciplinary approaches our conceptual lens integrates the quadruple helix model for social innovation with concepts of agency between employability and employerability intersectionality and policy learning to enhance theoretical understanding it focuses on the nexus between youth employment policies stakeholder perceptions and youth agency in educational and career choices methodologically we innovatively combine the living lab approach machine learning psychometric surveys systematic literature review longitudinal and focus group interviews statistical methods agentbased modelling and policy design triangulating insights from various methods nextup fosters a social innovation model to facilitate effective interactions among diverse stakeholders including policymakers educators employers and youth organisations to cocreate and implement effective strategies for ytstw informed policies and sustained social innovations through nextup are expected to lead to responsive and resilient educational and employment systems in europe innovative educational programmes and enhanced support for young people entering the workforce this will significantly impact the formation of social innovation ecosystems to address youth employment challenges in the postpandemic era and promote social and economic inclusion across europe |
in situ structure determination of actinbinding proteins through a novel cryoelectron microscopy workflow | cell motility is driven by a complex network of forcegenerating biological machinery the key component in this machinery is the dynamic network of filamentous actin factin and actin binding proteins abps which maintain and regulate the network however structural information for many abpactin complexes as well as their in situ spatial distribution remain elusive this is because abps cannot be easily studied in isolation often exhibiting structural stability only when embedded in a complex filamentous network found within cells this has hindered a complete understanding of actin network regulation in cell migration addressing this important question requires understanding exactly how abps select factin and conversely how factin geometry recruits specific abps cryoelectron tomography cryoet can reveal both cellular ultrastructure and molecular details but often is lower resolution than a single particle cryoem approach thus innovative methods remain key to drive advancement in understanding in situ structures in this fellowship i will combine my expertise of single particle cryoelectron microscopy with expertise of cryoet in the schur lab to develop a novel hybrid single particle cryoet approach in order to reveal highresolution structures and contextual information of abps bound to factin directly within cellular protrusions ista is the ideal research institute due to abundant access to highend electron microscopes necessary for methods development the outcome of this action are tools for high resolution in situ structure determination and a better understanding of cell migration a process deeply rooted in malignant metastasis results will be disseminated through key research conferences and highimpact openaccess publications communication activities will be achieved through 3d rendered visual scientific illustrations targeting social media platforms and instituteorganized public outreach events |
crisisresilient price discovery in decarbonized power systems | can we turn the energy crisis into an opportunity that advances the clean energy transition yes we can and we pave the path leading to just and equitable decarbonization debates that followed extreme events in europe and the us pointed to a wind of change for the power market design and the price discovery process operators are put in the corner inheriting market schedules that they more and more amend using their judgement whereas they are also accountable for their outofmarket decisions the process is inherently suboptimal and costly extreme events may turn annual market revenues into daily energy costsi will explore innovative ideas in generalized linear programming and adaptive robust optimization with datadriven uncertainty sets to support network and reliability related operator decisions and novel machine learning developments to remove computational barriers while maintaining interpretability tackling major obstacles that derive from nonconvexities externalities and uncertainty to date open problems leveraging demand adaptability and combining optimization with economic theory i will break new ground by i defining efficient adaptive and robust prices that minimize the gap between market outcomes and operator decisions and ii designing innovative protection mechanisms that dynamically delineate the blurred boundaries between systems and markets encoding crisis resilience and shielding from catastrophic financial impactscrisp will break the barriers that have restricted power markets to halfmarkets for more than 30 years tapping adaptable demand and set the foundations for efficient scheduling and correct investment signals in innovation infrastructure resource adequacy and sustainability the theoretical and computational breakthroughs will benefit a wide class of problems scheduling routing and others and are also relevant to integrated grids and systems hampered similarly by climate change and extreme events |
inorganic photochemical patterning | light activation finds a widely spread application to produce photochemically solid organic resins at low irradiation intensity from liquid organic precursors the main advantages of this process are that it can be activated locally by focusing a light beam remotely and switched onoff easily in a safe and convenient irradiation regime for these features lightactivated polymerization is used for patterning organic structures in fields of high technological economic and social impact such as stereolithography and tooth restoration recently we demonstrated that a similar result can be achieved by photochemical generation of an acid or a base in a suitably designed precursor solution and that this approach can be easily extended to inorganic materials such as insoluble carbonates and phosphates on the basis of these results our project inorganic photochemical patterning inpatt hence the photochemicallycontrolled production of a solid inorganic matrix instead of an organic resin will offer a solution to the market for the problem of patterning inorganic materials with light the ambitious objective of inpatt is to provide new liquid formulations suitable for applications in stereolithography patterning and tooth and art restoration |
adaptive transport systems with holistic representation of supply and demand | transport systems are complex with various entities across different decisionmaking levels there is currently no comprehensive way to model these entities and their interactions which prevents utilizing the full potential of the system for efficient and sustainable transportation we need to model the perspective of both the supply eg services infrastructure and the demand side eg preferences of users only then a holistic modelling framework can be developed where the decisions at different levels learn from one another and are adapted continuously in a robust way while accommodating the different preferencesi propose a holistic adaptive modelling framework that considers the interaction between different levels both on the supply and demand sides in order to adapt the decisions towards increased efficiency and sustainability this necessitates a paradigm change in modelling as it is challenging to maintain robustness across different timescales at the network level even though integrated models for multiple decisionmaking levels strategic tactical operational are a trend they only allow a reactive expost assessment but are not dynamically coupled not selflearning i plan to achieve this by developing modelbased adaptive optimization and learning methods with my expertise on optimization and behavioural modelling for example based on the performance of the routing decisions at the operational level in terms of delays the decisions on fleet sizing andor capacity of facilities will be adapted similarly based on a continuous learning of the preferences of users transport decisions will be adapted adaptor will lead to new models and algorithms for transportation researchers and beyond with selflearning capabilities this capability will enable service providers to adapt and maintain their business users to receive better services and society to reach sustainable transport solutions addressing one of eus grand challenges |
dc for european union | climate neutrality requires the costeffective and reliable integration of large amounts of renewable energy sources in the power system leading to the need of wheeling large amounts of power over long distances hvdc and dc technologies are the most suitable choice to flexibly integrate remote energy sources in a reliable and costeffective manner to boost the development of dc technologies the set plan implementation working group on hvdc and dc technologies dc iwg has been established with the goal of delineating a roadmap for the growth and deployment of hvdc and dc technologies over the coming years through identifying the research and innovation priorities and enhancing the cooperation collaboration and coordination between the set plan countries the current organisational support to the dc iwg is based on voluntary work from the members dc4eu coordination and support action is designed to facilitate the work of the dc iwg and achieve its outcomes and to ensure the information exchange with the set plan to accomplish this dc4eu will provide organizational and administrative support to the dc iwg as well as coordinate and communicate with relevant parties stakeholders and initiatives moreover dc4eu aims to disseminate and exploit the outcomes of the dc iwg for wider adoption of the iwg outcomes additionally the project seeks to initiate societal engagement to raise the awareness about the significance of dc technologies by doing so dc4eu will results in 1 updating the implementation plan for hvdc and dc technologies to meet the future requirementsneeds 2 enhancing coordination between dc iwg members and between the dc iwg and the set plan office 3 learning from first movers which refers to the ability of gaining insights and knowledge from early adopters of dc technologies 4 coordinating national and european research activities and 5 communicating research and innovation needs of dc technologies to a wide audience |
purposeful intrinsically motivated lifelong learning autonomous robots | pillarrobots aims at developing a new generation of robots endowed with a higher level of autonomy that are able to determine their own goals and establish their own strategies creatively building on the experience acquired during their lifetime to fulfil the desires of their human designersusers in reallife application usecases brought to trl5 to this end the project will operationalize the concept of purpose drawn from the cognitive sciences to increase the autonomy and domain independence of robots during autonomous learning and at the same time to lead them to acquire knowledge and skills that are actually relevant for operating in target real applications in particular the project will develop algorithms for the acquisition of purpose by the robot ways to bias the perceptual motivational and decision systems of the robots cognitive architectures towards purposes and strategies for learning representations skills and models that allow the execution of purposerelated deliberative and reactive decision processes given the aim of reaching trl5 pillarrobots will implement and validate demonstrators of purposeful lifelong openended autonomy using the resulting purposeful intrinsically motivated cognitive architecture within three different application fields characterized by different types and levels of variability agrifood edutainment and unstructured industrialretail pillarrobots will perform a complete evaluation of the possibilities and impacts of purposeful lifelong openended autonomy in these realms from an operational perspective but also from a marketoriented with significant productivity gains and societal socioeconomic ethical and regulatory perspective engagement of industry and sme players is also expected in order to prepare the ground for further largescale demonstration |
smr aircraft architecture and technology integration project | the smr aircraft architecture and technology project smr acap shall be the central place to assess and integrate all technologies at aircraft level from across the projects in the smr pillar establishing the link to projects with relevant technologies in the other clean aviation pillars and transverse projects associated with novel certification methods is part of the work plan of the project the setup of the acap project is tailored to steer and manage the definition of the targeted smr aircraft configurations with all key performance features required for the smr architecture in order to accelerate the maturation of the smr aircraft technologies acap will provide a digital collaborative framework with tools means and skills enabling to continuously link all rt activities within the smr pillar strongly linked to other clean aviation pillars to deliver solutions meeting the clean aviation high level goals reduce the greenhouse gases by 30 compared to a 2020 state of the art technology |
construction of a flexible and adaptable enzymatic biotechnological platform for sustainable industrial production of biobased fatty amines from side stream materials | fatty amines possess cationic and surfaceactive properties finding applications in cosmetics coatings detergents and more with a projected market growth to 554 billion by 2027the traditional nitrile route for their synthesis is flawed by drawbacks like high energy needs toxic catalysts harsh conditions and low selectivity resulting in complex amine mixtures biotechnological alternatives deploying enzymes offer a sustainable alternative characterized by mild conditions and high selectivity but their industrial implementation is hampered by cost and complexity challenges currently theres a lack of a holistic approach that considers upstream midstream and downstream factors when designing biotechnological processesflexizyme aims to pioneer an interdisciplinary systematic biotechnological platform for fatty amine production from fat and proteinrich residues encompassing all process stages integrating cuttingedge technologies will address limitations hindering enzyme use in cosmetics detergents and agriculture scaling up and validation across these sectors is a pivotal project aspectkey project elements include a chemoenzymatic approach enzyme engineeringimprovement machine learning tools applied to experimental and in silico data reactor design and monitoring these findings will culminate in a biotechnological platform for fatty amine production encouraging widespread adoption of biotechnological industrial applicationsguided by technoeconomic assessment and life cycle assessment flexizyme ensures productivity yield robustness and flexibility a multiactor approach and interdisciplinary collaboration aligned with industrial needs will streamline the implementation of the biotechnological platforms outputs in industrythis flexible versatile biotechnological platform marks an innovative departure from existing fatty amine production processes addressing current limitations enhancing environmental performance |
commercialization pinova a welfare technology startup | our innovation addresses the societal challenge and market opportunity the ageing of the european population represents our innovation makes it possible to continue live safely at home for an extended period despite agerelated functional and mental impairment un sustainable development goal 3using a nonintrusive system of sensors algorithms and artificial intelligence we identify incidents in elderlys homes with activity outoftheordinary their loved ones automatically get alerted by a digital generated phone call explaining the incident our innovation is user friendly |
designing a european brain health landscape | the coordination and support action csa brainhealth will lay the ground for an envisaged european partnership ep on brain health twenty participants from 11 member and associated states and third countries will jointly pursue the work plan the overall objective of the csa is to sizeably contribute to maintenance and restoration of brain health for citizens in europe and worldwide specifically the project aims to design a collaboration framework for the ep as an umbrella for existing initiatives and stakeholder communities in this area the csa will create a common understanding of achievements gaps and future developments in european research into brain health and derive from them priorities and opportunities in a strategic research and innovation agenda sria intense consultation with representatives of member and associated states is expected to lead to adoption of the sria and development of an implementation plan that will allow for strategic alignment of regional and national research programmes and commitments to the ep research infrastructures and platforms will be analysed regarding their service opportunities and solutions will be developed to facilitate data and material sharing in the area of brain health for highest possible impact the csa will reach out to the most relevant globally acting initiatives and their brain research strategies and policies synergies will be identified to shape the international landscape and establish new while maintaining existing collaboration finally the csa activities will be embedded in thoroughly planned dissemination and communication activities and an efficient management structure |
uncovering the cell of origin of group 4 medulloblastoma | medulloblastoma mb is the most common malignant paediatric brain tumour affecting mostly infants and children and to a lesser extent adults it originates from neuronal stem or progenitor cell populations on the cerebellum or brainstem during development andor childhood comprising around 60 of childhood intracranial embryonal tumours the main risk factors associated with this condition are heritable factors including germline mutations in genes that regulate developmental signaling pathways in the cerebellum mb are classified in 4 subgroups wnt sonic hedgeghog shh group 3 and group 4 according to their gene expression cell of origin methylation patterns and clinical features group 4 mb is the most common subgroup of mb affecting approximately 40 of the patients with this condition the cellular origins of group 4 mb are still under debate however recent papers using single cell rna sequencing showed that group 4 mbs are characterized by the expression of transcription factors such as eomesodermineomes and limhomeobox protein 2lhx2 genes expressed by granule upper rhombic lip progenitors more specifically unipolar brush cellsubcs that are born during cerebellar morphogenesis therefore one can hypothesize that group 4 mb originates from ubcs progenitors the main goals of the origin4mb project are to uncover the cell of origin of group 4 mb and to develop the first preclinical model of group 4 mb revealing unprecendented insights in mb biology to this end we will use lineage tracing techniques lentiviral in utero infection in vivo imaging and postmortem analysis we will also validate if the generated mouse model is able to recapitulate the human disease this validation will determine if this model could be used to develop new treatments for group 4 mb opening the door to new therapeutic avenues for those pedeatric patients ultimately improving their quality of life |
doctorate in sport ethics and integrity | the doctoral training network in sport ethics and integrity daisi is an interdisciplinary network comprised of 5 prestigious universities ku leuven belgium lead johannes gutenberg university mainz germany beneficiary norwegian school of sport sciences norway beneficiary swansea university wales beneficiary and university of lausanne switzerland associated partner and 8 leading international sport federations sport organisations and nongovernmental organisations international olympic committee ioc international federation of football associations fifa union of european football associations uefa united nations office on drugs and crime unodc world anti doping agency wada international biathlon union ibu and athletics inegrity unit aiu our research domains include cheating doping matchfixing data protection sexual harassment and abuse credibility reputation and damagelimitation we examine the problems identify published and novel solutions deliver multidisciplinary research and work with stakeholders to improve policy and guidelines to prevent future harms to sportspersons and organisations the network provides extensive training and interdisciplinary doctoral education to 13 selected doctoral researchers recruited impartially from around the world every thesis contributes to a coherent programme of research which takes a threedimensional approach at the individual competition and organisational levels each of which has its own ethical legal and social challenges our researchers will graduate from the programme with a joint doctorate from at least two leading universities as well as having gained realworld experience and skills that make them immensely attractive to employers |
breath research interactions and development via guidance and exchanges | greece is still suffering repercussions from the financial crisis of recent years with an overall economic downturn notably in research and innovation ri the ensuing lag has cleaved a widening gap in the scientific arena between greece and leading european countries limited funding resources and corresponding low prospects for young researchers has intensified this impeding situation the breath research interactions and development via guidance and exchanges bridge twinning project represents an opportunity to reverse this scenario and increase the excellence capacity of the foundation for research technologyhellas forth in greece by sharing infrastructure skills and methodologies and via a dedicated training programme with the fondazione istituto italiano di technologia in italy and the fraunhofer institute for process engineering and packaging ivv in germanybridge is a threeyear ri venture that seeks to develop and implement advanced tools and complementary mechanisms to establish forth as a leading performer in cuttingedge ri through training and networking activities with the leading partners this will be achieved via a common vision that focusses on the development of novel perovskitebased nanomaterials and their directed engineering to detect selected volatile compounds that are of relevance to continuing standardization endeavours in breath researchthrough a planned series of training and mobility initiatives bridge will lead to closer links between the partners and will thereby enhance the excellence capacity of forth moreover this initiative will support the postdoctoral researchers to improve their research and management skills and to explore new avenues to share ideas solve scientific and technological challenges and increase the impact of their discoveries and innovations the comprehensive dissemination and exploitation strategy will promote the ri capacity visibility and profiles of forth and its academic staff |
integrated refined multiscale approach for innovative lightweight structures | the project aims to develop a new integrated approach for designing and optimising innovative lightweight structures in recent years material engineering has introduced a new class of material with mechanical properties not found in nature metamaterials their exceptional properties are valuable in designing even more performant and sustainable lightweight structures the complex design achieved by metamaterials is obtained by additive manufacturing am techniques the effective mechanical properties are computed using multiscale homogenization approaches topology optimization at a multiscale level brings a great variety of functionalized metamaterialhowever the multiscale approach has been fully developed only for solid models at a heavy computational cost the am process has its own manufacturability constraints that limit the optimization process the defects and material limits need to be addressed to guarantee the component functionality and safety the irma project aims to provide a new approach for a fully integrated design of innovative lightweight structuresthe specific objectives are1 to formulate a refined approach for the multiscale structural behaviour of innovative lightweight structures2 to implement an integrated numerical solution to address microstructural defects and limits of the metamaterials in lightweight structures3 to develop a new numerical optimization method that considers macro and micro model constraints to improve the design of lightweight structures using metamaterialsthe project is thoroughly designed to maximize training and transfer of knowledge to the host group project management risks communication and dissemination activities including industrial partners are carefully designed my supervisors experience the full integration in his group camms and the cimnecerca resources are the perfect ingredients for developing the irma project |
morphological evolution in island birds underlying molecular and ecological mechanisms | understanding body size variation across and within species has been a main quest in evolutionary biology but many of the mechanisms underlying body size evolution remain elusive this is largely because of the complex interplay of different factors such as climate diet and interactions with competitors and predators island are simplified ecosystems with a reduced number of habitats species diversity and number of predators and generally milder climate making them ideal natural laboratories for dissecting the intricate mechanisms underlying body size evolution isladapt aims to unravel mechanisms of morphological evolution and species diversification in birds using both macro and microecologicalevolutionary approaches based on stateoftheart methodologies such as metabarcoding and bayesian analysis first this project will use data from museums and literature for endemic island species and their closest relatives from mainland worldwide wp1 to unravel the underlying mechanisms such as changes in the ecological niche geographical features and phylogeny that explain the systematic morphological changes on islands wp2 second isladapt will use fieldbased data to test the hypothesis that morphological changes on islands are linked to changes in the feeding niche breadth to do this faeces and biometric data will be analysed from 20 bird species from gulf guinean island and the nearby mainland and diet composition will be identified with metabarcoding techniques wp3 third isladpt will examine the relationship between bird morphological evolution and lineage diversification on islands by using biometric data from museums and phylogenetic information for three archipelagos new caledonia the gulf of guinea and salomon islands wp4 isladapt will therefore address central open questions in island biology and reveal the underlying mechanisms thereby providing a major contribution to our understanding of island adaptation |
synthesis and utilization of mesoporous silica nanoparticles for more sustainable and durable cementitious composites | the current project purposes to produce ultrahigh performance concrete especially at early age and also to further reduce cement consumption using novel nanotechnology techniques due to the fact that concrete is the most important building material and also one of the largest sources of air pollution it is necessary to improve its performance the slow process of increasing the strength of concrete and barriers to the use of nanomaterials justify the need to use new technology to achieve this using mesoporous silica nanoparticles msns have been considered due to their high chemical activity and suitable dispersibility in this study using msns in concrete will be dealt with for the first timemsns are synthesized and optimized in this study and then will be used in different amounts in cement composites to examine the micro structure durability and mechanical properties the methodology of the project is divided into three section 1 synthesizing and investigating msns 2 examining the properties of cement paste containing msns 3 investigating of properties of concrete containing msn and doing lcaconducting the project in ku leuven with its global facilities working with prof ozlem and also interdisciplinary nature of this study will give the applicant this opportunity to be trained in different terms including becoming familiar with equipment synthesizing analyzing the micro structure of concrete and managing project these help him to fill his research gap furthermore given the twoway science interaction nature of this project it can open a new research path at ku leuven considering the applicants current experience in concrete and the experience he will gain in this project it is expected that he will become an independent scientist in concrete chemistry at academia or industry the output of the project can lead to the production of sustainable products in line with eu policies reduce project time and improve the performance of concrete |
amorphous topological matter predicting new phases with enhanced properties in a vast pool of amorphous materials | discovering new phases of matter in materials with superior properties is a central goal of condensed matter physics topological phases are a remarkable example their robust and universal properties are key to groundbreaking technologies notably robust quantum computation based on topological superconductors however our methodology to discover and classify topological materials relies heavily on crystal symmetry thereby overlooking the largest most affordable and scalable pool of materials amorphous materials amorphous matter can outperform crystals and is ubiquitous in technology eg amorphous bismuth superconducts below 6k a temperature 10000 times larger than crystal bismuth and amorphous silicon makes largearea solar cells affordable this raises the fundamental question of whether we have overlooked new topological phases intrinsic to amorphous matter in materials with properties unparalleled by crystals it is also unknown if any amorphous superconductor is topological the core objective of this project is to harvest the superior properties of the vast pool of amorphous solids to find fundamentally distinct topological phases with high technological potential via three specific goals 1 establish a predictive methodology to unlock the vast pool of amorphous matter to discover new topological materials 2 use this methodology to define unaccounted for amorphous topological phases with superior capabilities and no crystal analogues 3 use the above to predict the first amorphous topological superconductors these goals will establish amorphous topological matter as a radically new direction to solve the challenge of finding novel platforms for topological superconductivity where robust quantum computers can be based this project will establish the necessary and currently absent theoretical background guaranteeing a longterm impact on how we understand and discover new phases of matter with superior properties |
confident decisions | virtually every decision people make comes with a sense of confidence a subjective estimate of decision quality the human capacity for confidence has tremendous social clinical and industrial impact for example children who can correctly judge their own level of confidence perform better academically in the elderly confidence declines faster than other cognitive functions clinically confidence plays a key role in our understanding of various brainrelated disorders including dementia anxiety addiction and depression in industry confidence helps people trust algorithms and automated systems and creates more natural interactions with smartphones and selfdriving cars while the past decade has seen major advances in our scientific understanding of decision confidence its mechanisms remain poorly understood this lack of understanding significantly hampers the translation to realworld applications such as educational programmes and clinical interventions a major challenge for the immediate future is to fill this gap by expanding fundamental knowledge on decision confidence and explicitly bridging to technologies interventions and clinical practice code aims to address this need we are an international interdisciplinary and intersectoral training network that spans fundamental and applied confidencebased research and bridges between academia industry education and the clinic by reaching across domains that usually work in silos code will provide critical new insights into decision confidence and pave the way for important future confidencebased applications we will train doctoral students to become the interdisciplinary decision confidence experts of the future who can flexibly apply their knowledge and skills in a wide variety of domains and sectors and are exceptionally well prepared for successful careers in either academia or industry |
politics of conservation and unequal ecological exchange in european peripheries | greenfrontier will radically transform understandings of how strict protection of nature remakes humanenvironment relations in europes marginal areas by developing a novel field of inquiry political ecology of conservation frontiers it breaks new grounds from research on frontier commodities by showing that uneven power relations within the eus conservation vision create a new resource wilderness essential for future green growth the projects pioneering and highrisk research design combines approaches from three disciplines anthropology history and politicsits main research question is how does a green growth vision based on strict protection of biodiversity affect humanenvironment relations in europes marginal areasgreenfrontier is urgently required because the eus visions of green growth which includes earmarking 10 of the eus land area for strict protection by 2030 raise serious issues of social and environmental injustice involuntary changes to livelihoods forced displacement marginalisation and decline of traditional ecological knowledge the project will investigate how strict protection of nature reshapes socioenvironmental relations in the following mountain regions often overlooked by academic debates the southern carpathians in romania the central apennines in italy the central cantabrians in spain and the bieszczady in poland the project moves beyond the state of the art and explores new analytical frameworks to understand european conservation frontiers within their specific genealogies of land use change and as part of the current political momentum of green growth imperatives within the eugreenfrontier challenges the mainstream understanding of commodity frontiers as happening in the global south instead it focuses on how the eus green growth vision produces in europe nonintervention zones where strictly protected carbon and biodiversityrich areas become essential fixes for multiple planetary crises |
marine reciprocating superconducting generator rsg | marine reciprocating superconducting generator rsgmares aims at developing a next generation of ultrahigh force superconducting direct drive ptos for wave energy conversion the maximum power that can be extracted from a planar wave is proportional to the wave period and to the square of the wave amplitude but to extract this power the hydrodynamic parameters of the wave energy converter must be modified and this means having the availability of producing high reactive forces the proposed reciprocating superconducting generator rsg is simpler than other existing superconducting generators due to the fact that its alternating movement allows the direct integration into wave energy converters where the primary energy source is also moving in a reciprocating way this rsg consists of a circular switched reluctance machine housed inside a flexible moving cryostat with bellows avoiding the need of any feedthrough for any moving part the machine is cooled down using a cryogenic supply system css which recirculates helium gas through the coils and the radiation screen and current leads at two different temperaturesthe project proposes to build a full system prototype to be tested at the laboratory scale and to analyse its implementation into two existing wec systems developed by two technologists participating in the projecta set of the prototype generator coils will be made from mgb2 superconducting technology while the other one will use rebco tapes the achieved results for different temperatures will be compared in both cases the proposed technology will profit from the latest advances in superconductivity and very specifically in recent developments in superconducting magnet technology provided by six of the participants including the european organization for nuclear research cern a world leader in such activities in a perfect example of bringing the forefront technologies to social applications |
sst stm system architecture and evolutions horizon europe top2 | this horizon europe grant is to be understood within a wider context on eusst where other grants are being executed simultaneously with the common objective of improving the eu autonomy on space surveillance and trackingin particular this top focuses on foster european cooperation in the sst domain and improve the eusst performance towards larger autonomy highlight and propose solutions to fill the gaps in the current eusst architecture pave the way on which the eusst system has to evolve towards a higher level of performance eg accuracy number size of catalogued objects quality of service eg timeliness of information and autonomy demonstrate the complementarity coherence and addedvalue of each element of eusst system towards a more autonomous interoperable sst system explore and look for higher levels of cooperation with other sst systems such as the us ssa system which is of paramount importance to develop longterm cooperation raise the main issues and propose relevant answers to questions posed by all those developments in various technical and operational domains based on the outcome of the previous stm coordination and support actions developed under h2020insert here text for your proposal propose adaptation to the new changes and solutions for their possible integration into the existing standards practices and technological meansthe starting point of these activities is the output of 23sst201820 which constitutes the state of the art on sst matters |
hyper powered vessel battery charging system | as a significant source of greenhouse gasses ghgs it is essential that the maritime transport sector focuses on ways to become climate neutral partial electrification of power systems has already been adopted as a ghg reduction measure however further advances are necessary on such aspects as the provision of high charging powers to minimise costs and improve standardisation in this context hypobatt will be focused on the development of an interoperable charging solution with a costcompetitive performancehypobatt will deliver a modular fast and easy multimw recharging system demonstrated in two european ports with fast turnaround times the project will assess the endtoend services between both ports and compatibility with other ports a modular approach on electrical and mechanical integration will minimize the required connection time the charging time land from port side and the number of components and costs the charging system will be designed to achieve interoperability and compatibility with different electric ships grid constraints components modularity logistic and handling monitoring and safety systems power flow maintenance digitalizationautomation cybersecurity and human element aspects the standardization of the charging modules the interfaces and the communication protocol will scale up the charger based on and onoffshore sides flexibility of power levels will be addressed and the impacts on the electrical grid infrastructure and on the battery degradation during fast charging will be minimized hypobatt unites key actors from the european maritime sector to develop and demonstrate the charging system a key element is to develop business mechanisms to exploit the flexibility of the charging system amongst shipbuilders integrators ports and stakeholders this will enable the wide adoption of the solution thus increasing europes lead in fast charging systems |
light4switch conformational switch of lightharvesting complexes upon illuminating azobenzene | plants can dissipate excess absorbed light energy as heat by reversible switching of lightharvesting complex ii lhcii into photoprotected quenched states to prevent photodamage of photosynthetic apparatus the conformational switch of lhcii is suggested to modulate the interaction between the embedded pigments and consequently activate charge transfer andor excitation energy transfer processes which ultimately lead to the dissipation of excess energy as heat known as energydependent quenching qe although the site of qe has been long established ie the lhcii the specific protein domains and conformational switches responsible for activating qe are currently unknownthis msca fellowship project azolhcii aims to determine the role of the protein matrix of the lhcii in tuning their energetic state and driving the photoprotective switch of plants to this end this disciplinary project will for the first time strive to manipulate the conformation of lhcii antenna proteins with azobenzene photoswitches and use a novel multipulse transient absorption spectroscopy approach to study in realtime the effect of sitespecific conformational fluctuations on the regulation of the excitation energy transfer in lhcii |
crosssectoral framework for socioeconomic resilience to climate change and extreme events in europe | the project crosseu aims to respond to the increasing societal needs to reduce climatedamaging actions adapt to the expected consequences and increase socioeconomic resilience the project aims is to deliver a climatesensitive framework including a readytouse decision support system platform and technical recommendations to inform investment decisions costeffective adaptation and mitigation options and policy response to climate change the project will contribute to advancing the understanding of the socioeconomic risks and response options associated with climate change impact in europe in different timeframes including the postcovid19 societalenvironmental transformation and derive practical recommendations for political and societal action the solutions proposed are based on an extensive assessment of the socioeconomic risks of climate change in a crosssectoral hierarchical approach based on storylines addressing key categories of climate hazards in different socioeconomic sectors and climate changesensitive areas across countries and european regions the project will offer a readytouse solution that integrates complex information from available climate risk data sets and nonclimatic sectoral data collected during the project implementation and derived through modelling based on demanddriven climatesocioeconomic pathways crosseu is designed to bridge the sciencebased information about the economic impacts of climate change and the unique contributions of the project will be i the quantification of costs of existent and emergent socioeconomic risks and opportunities at nuts3 level ii an improved representation of adaptation within biogeophysical climate change risk and iii a better consideration of modelling uncertainties by identifying their nature assessing their characteristics in a systematic way to determine a better informed and robust decisionmaking |
emerging technologies for crystalbased gammaray light sources | technocls project at the breakthrough in technologies needed for designing and practical realisation of novel gammaray light sources ls operating at photon energies from 100 kev up to gev range that can be constructed through exposure of oriented crystals linear bent and periodically bent to the beams of ultrarelativistic charged particles the technocls highriskhighgain sciencetowardstechnology breakthrough research programme will address the physics of the processes accompanying the oriented crystal exposure to irradiation by the highenergy electron and positron beams at the atomistic level of detail needed for the realisation of the technocls goals a broad interdisciplinary international collaboration has been created previously in the frame of fp7 and h2020 projects which performed initial experimental tests to demonstrate the crystalline undulator cu idea production and characterisation of periodically bent crystals and the related theory technocls aims to build the highriskhighgain sciencetowardstechnology breakthrough research programme on these successful studies aiming at a practical realisation of the novel gammaray lss such as cus crystalline synchrotron radiation emitters and many others additionally by means of a prebunched beam a cu ls has a potential to generate coherent superrradiant radiation with wavelengths orders of magnitudes less than 1 angstrom ie within the range that cannot be reached in existing lss based on magnetic undulators such lss will have many applications in the basic sciences including nuclear and solidstate physics and the life sciences theoretical computational experimental and technological results obtained in the course of this project will pave a way for key technological developments of the lss and their wide exploitation the technocls international collaboration possesses all the necessary expertise to conduct successfully the outlined programme |
the common notion science and consensus in the seventeenth century | notcom is a philosophical study of common notions collective inquiry and dissemination strategies in seventeenthcentury natural science with special focus on the role of socalled common notions using a groundbreaking transversal methodology it studies 1 epistemological models of consensus as they emerged from early modern controversies in logic rhetoric moral philosophy theology and law and how they were redeployed within natural philosophy 2 methods of collective inquiry in early modern natural philosophy 3 the role of consensus models and methods of collective inquiry in the public dissemination of early modern natural philosophy 4 the actuality of early modern consensus models and methods of collective inquiry in relation to current philosophy of science and science communication studies early modern collective scientific practices have over the last half century provided a rich field of study for the sociology and history of philosophy of science little attention has however been paid to the role that epistemological models of consensus played for the methods governing those practices yet the period produced a wealth of such models often in the context of doctrines of common notions which informed natural philosophical methods of collective inquiry in myriad ways these methods were moreover inextricably wound up with complex strategies for the broader public dissemination of science some of these models methods and dissemination strategies still have purchase today more importantly however writing their history offers a narrative about philosophy science and society with a didactic potential that merits exploration combining these four dimensionsconsensus models collective methods dissemination strategies and actualitynotcom thus explores the historical background to the current notion of scientific consensus and the contemporary uses of writing this history |
ecological and evolutionary role of specialized bacteria in algae health and carbon sequestration | marine algae fixing co2 into organic matter is central to the global carbon cycle while the food chain and marine bacteria consume roughly half of the fixed carbon a hardertodegrade fraction remains in the ocean naturally sequestering co2 and lessening climate change effects this remaining fraction is mainly derived from algal complex glycans that provide structural support defense against microbial pathogens and can be a carbon source for the algae microbiome the specialized bacteria feeding on complex glycans are integral to the algae microbiome yet have been historically dismissed eroders focuses on the unidentified mechanisms supporting the interactions between bacteria feeding on complex fucosecontaining sulfated polysaccharides fcps and the host algae that produce them i propose that specialized bacteria have coevolved with algae and have a key role in unlocking glycans that maintain the algae microbiome and simultaneously modify the structure of glycans that participate in carbon sequestration processes bacteria belonging to the verrucomicrobiota and planctomycetota phyla are the only groups living on algae that carry the enzymes to consume fcsps using a combination of cuttingedge approaches multiomic visualization and physiologic examination we will expand into the unknown diversity and population structure of fcsp degrading bacteria on micro and macroalgae to tease apart the effects on algae health we will incubate the model brown algae ectocarpus with fcspdegrading bacteria under laboratory conditions and examine both the response of incubated bacteria and the impact on the algae growth and its microbiome this proposal presents a unique opportunity to unveil the microbial diversity and mechanisms that link bacteria to the metabolism of complex glycans involved in carbon sequestration processes and the evolutionary significance shaping the relationship between bacteria hosts with implications from marine to gut ecosystems |
clinical validation of glix1 a small molecule that targets epigenetic changes in cancer cells to treat glioblastoma multiforme gbm the highest global unmet need in oncology | glioblastoma multiform gbm patients usually die 1218 months after diagnosis with a 5year survival rate of 68 there are only 5 therapies approved to treat gbm and all of them provide marginal improvements of 9 months to patients survival with a clinical pipeline that is constantly failing last approval in 2004 and the lack of effective therapies gbm remains the highest unmet need in oncologyafter years of research we discovered the glix family which targets a newly discovered mechanism that is deregulated in cancer cells glix1 was more effective than the current standard of care at killing several gbm cell lines in vivo studies showed tumour regression in 100 of mice with a tumour growth inhibition of 94 with such promising results and an experienced team glix1 is now ready for clinical validation the support from the eic will help us to prove the clinical safety and efficacy of glix1 and make it globally available through licensing to a large pharma company |
sustainable technologies for reducing europes battery raw materials dependance | in streams a comprehensive portfolio of at least 12 scalable and flexible technologies and pilot scale solutions for the sustainable production of batterygrade precursors and their respective anode and cathode active materials will be developed evaluated and successfully demonstrated these technological processes will be applied to materials from primary and secondary sources including recycled battery mass and photovoltaic waste this will strengthen europes domestic battery materials supply chain and reduce europes dependency on imported critical and strategic raw materials supplies the production technologies will also increase europes resilience competitiveness and strategic autonomy in the global battery manufacturing industry streams technological solutions will meet eu requirements for environmentally responsible design and scale up and anticipate regulatory compliance by conducting technoeconomic environmental social impact and integrated risks assessments combined with life cycle sustainability and circularity assessments the cathode and anode active materials synthesized in streams will be used to manufacture 10 ah battery cells at pilot scale using sustainable electrode processing prototype cells will be tested according to established standards and subjected to advanced postmortem characterization stream will also identify optimal conditions for future exploitation of the project results |
hybrid imaging in the catheterization room | hybrid imaging in the catheterization room in the previouslycompleted erc cog we have developed a patented carm scanner called ixsi which can accomplish realtime hybrid image guidance in dynamic environments such as the intervention and the catheterization room thus far we have evaluated ixsi for oncological purposes but more recently we have identified a new potential application in the field of interventional cardiology in which hybrid imaging may help for determining the culprit vessel during the interventional procedure or directly evaluating the outcome of a treatment in this erc proof of concept we will explore whether the new proposed application of ixsi is worth pursuing further we will perform four tasks i we will investigate for which groups of cardiology patients or treatments ixsi may provide the greatest benefit and assess their market share ii we will evaluate the performance of ixsi for cardiology by developing custommade testing devices iii we will investigate whether ixsi can be made more costeffective for cardiology by making hardware modifications and iv by combining the information from the previous activities we will develop a business case of ixsi specifically for cardiac interventions should it be demonstrated that ixsi can aid cardiac interventions then we expect that our developed technology will be much quicker implemented in the clinic seeing that the proposed application field is massive and the incentive for commercialization would be greater close to 1 million pci procedures are performed per year in the us alone |
scanning probe microscopy in high vectorial magnetic fields new device for imaging quantum materials | the invention of the scanning tunneling microscope stm and of other similar devices was a revolution for research at atomic scale many companies offer microscopes which can be used to study materials at atomic scale as a function of temperature or magnetic field however unlike temperature the magnetic field is a vector quantity the direction of the magnetic field vector is as important as its magnitude when it comes to study properties of materials at atomic scale the only solution available today to vary the vector of the magnetic field is to build a set of three separate solenoids with which one can generate separately the three components of the magnetic field vector however this unavoidably implies a significant reduction of the magnitude of the largest vectorial fields that one can obtain typically at most 12 t the eu proposal vectorfieldimaging will overcome this challenge by developing new technology to modify the orientation of the entire microscope with respect to the solenoid this will provide a significantly lesscostly solution that will allow the direction of the magnetic field to be varied at the highest available magnetic fields opening the door to the microscopic studies of many quantum phenomena specifically the project will focus on a proof of concept by establishing technical feasibility usability and commercialization of prototypes that allow turning a stm inside a high magnetic field solenoid tested in an operational environment by end users if successful this technology will make a real breakthrough in the area of quantum materials by allowing visualization by means of scanning probes at very high vectorial magnetic fields |
analyzing and exploiting inexactness in exascale matrix computations | scientific computing inherently involves multiple sources of inexactness from discretization or simplification of the problem to noisy data to finite precision rounding errors to approximations made to increase parallelism to stopping computations intentionally to improve efficiency the standard stateoftheart approach is to analyze different sources of error separately there is currently no solid foundation or systematic approach for combining multiple sources of inexactness together and studying their interaction developing reliable approaches for exascale requires filling this gap which must start with establishing a new rigorous foundation for analyzing multiple sources of error in matrix computations without this basis the quest for efficiency in areas vitally depending on matrix computations including for example data science and machine learning will remain reliant on a trialanderror approach this project aims to break the current modular approach to the analysis and design of algorithms for matrix computations by understanding how different sources of inexactness interact while being propagated through a computation and their effect on numerical behavior and solution quality our holistic approach rooted in rigorous theoretical analysis will reveal opportunities for developing new algorithms for exascale problems that exploit inexactness to balance performance and accuracy the project is structured around four fundamental objectives wp1 analysis of exascale matrix computations subject to multiple sources of inexactnesswp2 development of new algorithms that exploit inexactness that are both fast and provably accuratewp3 making error analysis of exascale computations meaningful in practicewp4 exploring emerging sources of inexactness beyond the exascale eraour approach will lead to new methodologies that can change current paradigms |
a cosmological lever arm for fundamental physics | key open questions in the boundary of cosmology and fundamental physics can be addressed by studies of the distribution of matter as a function of scale and time or redshift while the traditional approach has been to use large galaxy catalogues during the last decade i have pioneered the use of an alternative probe 3d correlations in the lyman ly forest absorption features in the spectra of highredshift quasars caused by intervening neutral hydrogen the ly forest provides a unique window to study the distribution of matter at earlier times and on smaller scales than those accessible with galaxy cataloguesi lead the ly analysis of the dark energy spectroscopic instrument desi survey and with erc support i will be able to develop and apply new techniques to dramatically enhance its expected outcome on one hand cosmolya we will use the correlations on large 30 mpc scales to obtain a 05 measurement of the expansion rate of the universe at z 2 four times better than the stateoftheart on the other hand we will carry out the first coherent analysis of 1d and 3d correlations to provide a 1 measurement of the amplitude of density fluctuations on small 1 mpc scales unreachable by other probes in combination with public cmb results sensitive to the distribution of matter at early times and on the largest scales we will be able to construct a cosmological lever arm covering 4 orders of magnitude in scale this will enable my team to i increase by at least a factor of 2 the constraints on the sum of the neutrino masses potentially leading to the first measurement of the absolute neutrino masses ii increase by at least a factor of 3 our constraints on the shape of the primordial power spectrum of density fluctuations an important step towards confirming or falsifying a large number of inflationary models these results will have interdisciplinary impact with wide reaching consequences into particle and fundamental physics |
green processing and valorization of organic byproducts of distilleries as novel approaches for climatesmart protein applications for alternative food and circular bioeconomy | food systems have created demand for addressing adequate nutrition safe healthy accessible and affordable food under the pressure of increasing trend of the global population projected to reach 10 billion by 2050 climate changes pandemics economic crisis growth in the dietary supplements segment and many more sustainable and costefficient development of innovative food sources are needed to meet the projected nutrition demand which have recently attracted the attention of both producers and consumers conversely the significant losses and waste production by the processing industries are becoming a serious nutritional economical and environmental issue the aim of bionovfood project is to propose novel approaches to valorize the distillery organic byproducts and to include them into a biorefinery system these will be used as raw materials in processes aimed at the recoveryseparation of bioproducts with a focus on the production of proteins for food application to reach this goal will be developed on a pilotdemo scale process concepts for bio converting grape marcs wine lees and vinasse generated from the distillery industry into proteinrich ingredients to be used for the production of alternative food products life cycle assessment and technoeconomic aspects for the production of protein sources produced from edible and safe fungi will be investigated with proteins produced will be designed and developed novel food bionovfood project constitute the starting point for the understanding that distilleries byproducts can significantly contribute to the future production of alternative proteinrich fungal biomass for food applications indeed it will create synergies and cobenefits across 4 priority areas nutrition and healthy diets climate and environment circularity and resource efficiency and innovation this project is a unique opportunity for my career and will boost my scientific profile |
adaptive separation using dynamic nanofibril networks | this research program will develop materials methods and technologies that enable adaptive separation of molecules and particles using dynamic nanofibril networks the groundbreaking nature is the development of dynamically tunable membranesgels for nextgeneration separation technology current separation technologies are based primarily on polymeric membranes or gels for membrane filtration or chromatography membrane filtration is versatile but lacks selectivity while chromatography is selective but with limited throughput as pharmaceutical companies move toward protein or nanoparticlebased therapies the size limitation of chromatography is a concern the future separation technology should be adaptive and selective with high resolution and throughput it is time to develop nextgeneration separation technology that enables dynamic adaptability and integration with our electronic infrastructure and ai technologyhydrated nanofibril networks with unique nanomechanical behavior a vast dynamic density range and large pore sizes enable tunability that polymer networks cannot achieve it is an unexplored class of materials for separation purposes now available at scale due to recent cellulose and amyloid nanofibrils developments nanofibrils assemble in anisotropic hydrogel networks with a uniaxial swelling ranging from 0 to 1000 gg water content with pore sizes from a few to 1000 nm i will study how different pretreatments or stimuli such as electrochemistry enable direct control of this 1000fold change in pore size which is unachievable for polymers i will explore different modes of separation centrifugation filtration electrofiltration and ionselectivity using nanofibril networks as an adaptive mesh to sieverepel molecules and particles of different sizes and charges the outcome is a scientific foundation exploring how lowdensity nanofibril networks can lead to disruptive separation technology in a multibilliondollar industry |
tools and methods for extended plant phenotyping and envirotyping services of european research infrastructures | europe urgently needs to find pathways towards agroecological transition of agroecosystems in support to food security climate change resilience biodiversity and soil carbon stocks restoration in phenet the european research infrastructures ri on plant phenotyping emphasis ecosystems experimentation anaee longterm observation elter and data management and bioinformatics elixir will join their forces to codevelop with a diversity of innovative companies new tools and methods meant to contribute to new ri services for the identification of futureproofed combinations of species genotypes and management practices in front of the most likely climatic scenarios across europe ambitioning to go beyond current highly instrumented but often spatially and temporally limited ri installations phenet derived services will allow wide access to enlarged sources of insitu phenotypic and environmental data thanks to i new aibased multi agroecologyrelated traits multisensors devices ii to unleashed access to high resolution earth observation data connected to ground based data iii fair data support for connection with iv new generation of predictive modeling solutions encompassing ai and digital twins developments will be challenged by and implemented in a series of eight use cases covering a large range of agroecosystems but also of ecosystems to demonstrate portability of solutions several of these use cases will mobilize onfarm data a large effort will be devoted to training ri staff and beyond through a sustained collection of training material fed by experts outreaching activities will aim at enlarging the range of ri users phenet will not only strengthen ri but will also have major impact on the development of innovative companies on phenotyping envirotyping and precision agriculture as well as on the emergence of climate smart crop varieties and innovative practices fitted to climate change and agroecological transition |
improving mediterranean cyclones predictions in seasonal forecasts with artificial intelligence | cyclones form frequently over the mediterranean sea the most intense systems cause extensive damage in the region and beyond the ability to make climate predictions several months in advance of such extreme events has a large number of crucial socioeconomic applications for disaster risk reductionstateof theart seasonal prediction systems exhibit a good skill in predicting anomalies in the seasonal mean of meteorological fields such as temperature and precipitation the models ability to reproduce variations in the occurrence of extreme events tends to be however much lower this is particularly true in regions such as the mediterranean where extreme events are often driven by small scale processes that are not well reproduced at the resolution at which sps typically runthe use of artificial intelligence techniques such as machine learning in the study of climate has gained great traction in recent years the power of those techniques lies in the ability to detect patterns in large datasets without having to make explicit statistical assumptions allowing to build predictive model whose skill continuously improves as the volume of data on which the models are trained increases one promising field of application is to use artificial intelligence to improve the prediction of extremes in climate models in this setting a machine learning model is trained to find relationships between largescale climate variables for which dynamical models have a good predictive skill and the occurrence of extremesthe aim of this project is to improve the predictability of intense mediterranean cyclones combining advanced artificial intelligence techniques and a stateoftheart dynamical seasonal prediction system the project will not only contribute to the knowledge of climate extremes predictability but also lead to the implementation of a preoperational dynamicalstatistical prediction system with the potential to be extended to include different extremes |
the mediterranean as a laboratory of globalisation the francoottoman cloth trade 1683c1715 | in the early 1700s france overcame english and dutch competition to become the ottoman empires main european trading partner to date historians have focussed on jeanbaptiste colbert louis xivs infamous minister and his influence on the crucial francoottoman trade in woollen cloth yet they have neglected the boom in this trade after colberts death in 1683 overseen by jeanbaptiste de lagny the director general of commerce from 1686 to 1700by treating the mediterranean as a laboratory of globalisation globalmed asks why this trade flourished moreover it explores the trades significance in influencing the states global commercial policy analysing how frances levantine success shaped its engagement with noncolonial markets overseas in this way the project will challenge current orthodoxies on the rise of the atlantic world by reconsidering the early modern states role as a motor of globalisation and industrial development |
cuban higher education reform a policy ethnography | higher education he is one of the flagships of the cuban revolution research on cuban he policies focuses on the desired outcomes within policy documents nevertheless there is a lack of studies analysing how stakeholders implement those policies on the ground by translating policy documents into practices and relationships or how policy documents shape universities organisational cultures peoples identities and power relationships therefore it is timely to describe how cubas centralised he policy documents are translated on the ground at the university of holguin from 2000 onwards just in 2000 the socalled third educational revolution began in cuba bringing farreaching transformations within higher education to date it is a largescale process of changes ethnographically unexplored by undertaking both the anthropology of policy and anthropology of education approaches cherpe draws the following objective to describe how university actors translate the cuban he policy documents on the ground into relationships powers actions new organisational structures individual or collective strategies and new identities the university of holguin in cuba will be a case study coming from the anthropology of policy approach studying through is a sound strategy to study processes of political transformations through space and time in which i will combine documentary analysis interview focus group and participant observation by using these interdisciplinary methods i will bring a pioneering ethnographic methodology to the cuban context that will advance both the fields of policy studies and anthropology the fellowship will furnish me with expertise in policy and he studies and will drive my publication record allowing me to apply for a better academic position i will further the cuban he policy field and the anthropological approaches that cherpe addressed |
biomarker and aisupported fx06 therapy to prevent progression from mild and moderate to severe stages of covid19 | more than 27 million hospitalisations of covid19infected patients have occurred in europe alone since the outbreak of the coronavirus in 2020 an average 14 of those patients with mild or moderate illness develop severe symptoms and are eventually admitted to the intensive care unit icu the most common treatment of patients in the first two stages of the illness such as remdesivir and antibody therapies have neither shown the desired effect nor prevented the progression of the disease to severe and critical stages of the illness interventions against sarscov2 are in high need to prevent admissions to icus and would reduce the burden on patients and their families clinical staff and the healthcare sector additionally such interventions would help to provide icu beds for noncovid patients requiring immediate interventions such as for heart or cancer surgery both of which are often in need of planned free icu beds in covend our multidsciplinary consortium will deliver a new effective therapy against sarscov2 for the clinical management of the covid19 disease during mild and moderate stages including for the prevention of disease progression to severe illness this will be achieved by advancing a promising therapeutic candidate fx06 from technology readiness level trl 7 to trl9 through a multicentre phase iiiii clinical trial covend will study the influence of covid19 on endothelial cells ecs and the potential protective effect of fx06 and will apply omics technologies generate new algorithms and opensource software to carry out data analytics and modelling and will develop health economic models to assess the socioeconomic benefits and cost effectiveness of the new therapy the covend consortium unites expertise from different disciplines including cell biology ict expertise for aibased evaluations pharma economics and social sciences as well as clinical expertise from 13 european countries |
sustainable usable and visible digital cultural heritage twinning for excellence | the objective of the dightnet is to enhance research capacity broaden the research partnership and increase the visibility attractiveness of tallinn university tlu in digital cultural heritage studiesto mobilise and amplify digital cultural heritage research locally nationally and internationally ensure sustainability and maximise the impact the joint research hub of digital cultural heritage studies dighthub will be coestablished at the tlus school of humanities the project shall prototype a twinned digital archive of juri lotman and umberto eco and build a semiotic theory of digital cultural heritage based on the work of lotman eco and other scholarsthe objectives will be achieved through networking and collaboration activities with internationallyleading research institutions the university of bologna unibo the university of amsterdam uva and the university of turku utu not only do these partners have a high level of scientific capacity and international reputation but they are also wellintegrated into the international research and collaboration networks and have a proven track record in earlystage researcher development and research management the experience knowledge and authority of leading european competence centres in archival and heritage studies digital culture studies and memory studies will provide perfect pathways for tlu to raise the bar for excellence increase attractiveness and retention of research talents modernise the approach to participation in horizon europe competitions and consequently achieve a longlasting contribution to the european cultural heritage and its digital transformation |
inquiry into scarcity how modernity acted for equality limitations | ishmael intends to explore the impact of scarcity as a pivotal concept for government choices in the genesis of political economy and to define its current use in contemporary politicalphilosophical arguments on economic choicesthe general hypothesis is that the concept of scarcity and its semantics notions such as rarity lack poverty have been fundamental in shaping the social practices used by political economy as a discipline born as a science of government in the 18th century this frame led to the establishment of a contemporary economicpolitical model that made inequality a systematic form of social living as it does not focus on the regulation of resource competition or the just distribution of wealth but on the constant vigilance in maintaining the ratio of scarcity within society ie unequal access to resources food economic culturalthe aim is to shed new light on the epistemic frame underlying the political governance choices of modern democracies thereby raising awareness about social policies based on the logic of increasing precariousness and competition for scarce resources the framework of the concept of scarcity and its epistemic implications have not yet been thoroughly explored through a philosophicalpolitical perspective that considers the history and logic of the development of political economy moreover there is still no rigorous philosophicalpolitical and historical conceptual study focusing on the use of scarcity as a pivotal notion in political governance and political economy as they are understood todayishmaels methodology will be an original interweaving of german begriffsgeschichte foucauldian analysis critique of legal devices and social philosophy in so doing it will be possible to analyse the historical semantics of the concepts at stake highlighting their contingency and nature as social constructs while defining the epistemic structure in which they were produced and ideologically exploited |
ultramassive mimo for future cellfree heterogeneous networks | the increasing demand of higher data rates while ensuring sustainability through reduced energy consumption levels call for a collective effort to define and set up the new generation of mobile communications it is expected that some of the newly arising services will need to accurately map the environment for a seamless interaction of the physical and the digital worlds and then require a combination of communications positioning and sensing the vision of mifuture is that an evolution of massive multiple input multiple output mimo the technique that has provided the unprecedented spectral efficiency of 5g towards ultramassive mimo ummimo will be a key ingredient in the future mobile radio access network mifuture will pave the path towards the implementation of heterogeneous cellfree networks with an ultramassive number of antennas that will satisfy the throughput energy efficiency positioning accuracy and feasible complexity requirements that the evolution of mobile communications towards 6g demandsthis evolution will require a new generation of excellent researchers able to address the emerging complex engineering problems that the thriving area of mobile communications is facing mifuture will develop a highlevel personalised multidisciplinary programme to provide 15 phd candidates supervised by committed experts from industry and academia with research competences and transferable skills eg entrepreneurship project management ipr open access with the longterm goal to lead scientific advances in the new concepts arising in the field of wireless communications these creative young researchers will face real world implementation work across multiple european countries and organisations become knowledgeable in standardisation activities present at workshops in front of researchers and industrial stakeholders and interact with the general public to make them aware of how 6g can help in their daily lives |
towards observationconstrained understanding and predicting of tropical wetland methane emissions | tropical wetlands dominate wetland methane emissions globally and play a vital role in recent surges of atmospheric methane despite the importance of tropical wetland methane emissions in global methane budgets and future climate change current knowledge about their magnitude distribution and variations remains highly uncertain which impedes effective climate strategies and actions through a synergy of biogeochemical bottomup and atmospheric topdown methodologies i propose the project tunewet towards observationconstrained understanding and predicting of tropical wetland methane emissions to constrain tropical wetland methane emissions and their responses to climate change by integrating multiple data streams and modelling tools i will carry out this research with prof guy schurgers at the newly founded global wetland center gwc university of copenhagen ucph this project will gain new insights into the key processes regulating tropical wetland methane emissions and help resolve the largest uncertainty source in the global methane budget thereby supporting sciencebased climate mitigation strategies |
eurasian network for collaborative research on treerootmycorrhizalpathogen interactions in forest soils | euasianroot aims to unravel the complex relationships between soil roots fungi and pathogens within forest ecosystems focusing on forests across the eurasian climate spectrum from tropical to highly continental it will characterise the soil fungal community and mycorrhizal fungi in both roots and soils of these diverse forests it will also investigate the fine root characteristics of forest trees and key interactions between soils roots mycorrhizal fungi and pathogens it will investigate how mycorrhizal fungi associated with trees in different forest types contribute to ecosystem services such as nutrient acquisition and carbon sequestration and how these contributions are influenced by climate soil conditions and the unique pressures exerted by soilborne root pathogens through comparative analysis across forest biomes it aims to identify the respective roles of tree fine roots and mycorrhizal fungi in the provision of ecosystem services it is essential to identify both abiotic and biotic pressures particularly soil pathogens that affect the provision of these services by tree fine roots and other types of mycorrhizal fungi euasianroot research will advance scientific understanding and serve as a platform for personal and institutional development and training euasianroots comprehensive training programme facilitated by secondments will equip participants with cuttingedge knowledge methodologies dissemination strategies and insights into policy applications recognising the importance of dissemination and communication we aim to increase soil literacy through practical outreach activities euasianroot is interdisciplinary covering aspects of geology soil science forest ecology forestry and nature conservation euasianroot is international with partners from the czech republic germany italy kazakhstan mongolia and thailand euasianroot is multisectoral involving partners from the academic sector and the regional nature park |
climate policy integration a complexity trap | public policy research finds integrating climate change into other policy sectors a key to achieving climate goals the eu has set climate as a horizontal priority and adopted a multitude of policies across sectors yet the eu is projected to miss its netzero goal for 2050 why i propose an explanation as climaterelated policies proliferate they do not necessarily add up coherently and pave the way for a complexity trap however we do not have a systemlevel picture of synergistic and contradictory climaterelevant interdependencies between eu policies such knowledge would be needed to unpack implementation barriers that hinder success in climate policy the issue is underinvestigated because we lack adequate theories and study methods climplexitys goal is to develop a new theory about policy integration processes to explain why growing policy regimes remain poorly coordinated given actors constellations of power and crosssectoral activities to quantitatively model policy interdependencies climplexity proposes a network method linking synergistic or contradictory policy instruments and goals results will reveal patterns of policy disintegration their temporal dynamics and systemlevel solutions via simulated policy reforms do political actors then overcome the policy complexity trap or rather add to it for the eu and selected members states climplexity compares the coordination mechanisms political actors use to integrate overarching issues like climate across sectors based on my expertise in analysing actor constellations in policy processes i combine rich qualitative and quantitative methods including process tracing interviews surveys comparative case studies and advanced network analysis climplexity will deliver insights and advice to improve climate policy integration in the eu given the widely observed phenomenon of policy disintegration the projects contribution to advance the debate will reach far beyond climate policy |
innovative routes to novel catalyst for utilising renewable energies | the alarming increase in the amount of greenhouse gases in the atmosphere and its severe climate consequences is a fact that will put life on earth to serious risks if no quick action is taken on a global scale c2cat expertise in catalysis for h2 production storage and recycling of co2 will come into play contribution to the h2 economy and co2 reduction will be achieved at c2cat via design development and commercialisation of costeffective alternative catalysts suitable for sustainable processes |
automated sorting and safe preprocessing of eol batteries with novel smart and fast dismantling and separation technolgies for direct reuse of high purity materials in energy storage application | restore represents a pioneering research and development initiative committed to the challenge of designing developing and deploying a novel holistic and scalable battery recycling process restore is dedicated to the safe preprocessing of endoflife eol battery from electric vehicles ev and domestic lithiumion batteries libs and aims at developing innovative safe cost effective and scalable solution for the separation recovery purification upcycling and validation of materials and metals to be directly transformed into new battery precursor and functional materials the proposed solution will shorten the recycling process while unlocking the recovery of highly valuable materials currently lost in conventional recycling process such as the electrolyte including both the electrolyte salt and solvents organic binder graphite and cathode active material cam the project is driven by key industries in europe supported by renown research centres to ensure battery recycling industry will be able to reach the battery directive and 2030 critical raw materials act crma targets the concept is based on three building blocks i improving upstream processes for the sorting of batteries and the liberation of nonbattery materials from ev battery packs and prohibit them from entering in the downstream process while maximizing their valorisation ii improving preprocessing of battery materials to effectively separate active and nonactive battery materials ensuring highpurity outputs iii improving the downstream process to efficiently separate all battery materials and refine them to batterygrade standards to be directly reinjected into the battery production value chain finally with the support of lca and lcca through ssbd assessment the most promising routes based on recycled materials will be validated on coin cells the projects outcomes will be effectively communicated disseminated and exploited with stakeholders engagement |
leading in the brave new world human robot dynamics | leading diverse humanrobot or humanai teams is slowly becoming the new normal as automation and ai become integral to many industries leaders must learn how to manage teams that include humans and airobots although there is plenty of training on how to use the technology however no one is teaching leaders how to lead the technology thus creating skills gaps and workforce adaptability issues as organisations face digital disruption leaders must integrate these digital innovations into their operations and inspire their teams to become technologically savvy however despite the pressing need to better understand how to cultivate cohesive team dynamics amidst human and ai entities research in this field is limited which is problematic as leaders lack evidencebased solutions to deal with these novel challenges therefore this project aims to unlock the potential of humanai collaboration by 1 uncovering the essential leadership qualities needed to effectively lead humanai teams 2 optimizing the design of virtual teams where humans and ai work symbiotically 3 pioneering the use of the newest ai for accurately assessing individual traits through natural language analysis 4 investigating how feedback acceptance varies when it comes from human or ai sources this research integrates the scientific fields of leadership organisational psychology and it which pushes the boundaries of traditional research domains moreover it is built on the newest technological trends and employs cuttingedge deep neural network technologies offering a stateoftheart exploration of the subject all in all by achieving these objectives this project will reshape the future of work empowering organizations to harness the full potential of humanai teams enhance leadership capabilities and optimize team dynamics in this brave new world of workplace digitalisation |
enabling targeted fractionation of ions via facilitated transport membranes | effective fractionation of ions does not only play a vital role in the functioning of human cell membranes but also in engineered membranes used to produce drinkable water extract target minerals and capture energy to address challenges in environmental resource energy fields nevertheless most of the stateoftheart membranes fail to overcome the tradeoff between single ion selectivity and throughput the progress is greatly hampered by the lack of comprehensive understanding on the separation mechanisms across different types of asclaimed ion selective membranes the ionfracmem project will make breakthroughs by designing novel facilitated ion exchange membranes using an interdisciplinary approach based on electrochemistry which synergizes with the interaction between target ion and functional materials to form ion selective sites in the membrane and thus facilitate its transport to achieve a holistic understanding we will purposely construct two types of membranes with completely different structure for fractionating ions 1 polymeric membranes of flexible nature made of conventional or hydrogel polymers obj 1 2 composite membrane of rigid nature consisting of nanomaterials with subnanometer cavities obj 2 subsequently we will provide mechanistic understanding of the facilitated transport phenomena via a multiscale modelling approach obj 3 to identify governing mechanisms that can be translated to membrane fabrication parameters the project integrates several key engineering science disciplines such as separation technology material processing and functionalization electrochemistry and fundamental physics allowing rational design of next generation membranes from a wide range of materials for ion purification the proposed multidisciplinary approach will impact theories and applications of electrodriven membranes in important domains such as water purification resource recovery sustainable energy |
cuisines of the ancient maya across the lowlands reconstructing plant diets through molecular and imaging approaches | comal aims at using an analytical approach never applied before on archaeological materials from central america to bring to light the plants that were consumed and the different ways they were processed by the ancient maya that inhabited the tropical forests of the maya lowlands in what is now mexico and guatemala the investigated periods are the classic and terminal classic periods ad 250900 accordingly two types of archaeological remains will be considered amorphous carbonized objects aco and biomolecules acos are visible to the naked eye and are usually investigated with different microscopies while to characterize the biomolecules a range of spectroscopic and spectrometric techniques will be applied at ca foscari university of venice to both archaeological residues and proxies derived from raw unmodified modern plants and plants processed under laboratory conditions experimental archeology further analyses by means of microcomputed tomography microct will be performed during the secondment at the elettra synchrotron in trieste aiming at revealing the internal structure of acos through a nondestructive examination the applicant an experienced scholar in both the recovery and identification of macro and microbotanical remains and starch grains will enhance her competences by learning cuttingedge techniques seldom employed in the field of archaeology and in turn bridging the stem and humanities a highly relevant issue at ca foscari likewise comal will increase the knowledge on maya culinary preferences including the direct descendants of the ancient maya living today in guatemala and mexico by bringing information on their dietary heritage and traditions at a broader level the project will also shed light on ancient diets comal will expand the applicants experience professional networks positioning her as a skilled and capable independent scholar |
hermes holistic decision support system for infrastructure managers | the hermes aims at developing a holistic decision support system for infrastructure managers hermes faces in an original and integrated way some of the major and most urgent challenges in transportation infrastructure management namely the need of optimizing the management of bridges at a time of growing threats and the main challenges dealing with the adoption of shm systems the difficulties related to the interpretation of shm results for structural health assessment the scarcity of sensorequipped structures in a portfolio of bridges and the integration of shm data into current decision support systems the main focus of hermes is on hydraulic risk ie related to floodsscour which is a major source of concern for decisionmakers hermes takes advantage of innovative and advanced modeling tools bayesian networks digital twins and artificial intelligence ai to assist the decisionmaker in structural management under operational and exceptional conditions using a unified platform which receives continuous data from the entire network eg vibrationbased shm data water level scour depth it integrates these data into a virtual model of the network and its critical structures assesses the state of such structures and provides informed and optimal riskbased management plans hermes will be articulated in four main activities linked to specific working packages a1 scour depth inference through bayesian network modelling of the bridge network a2 implementation of digital twins of the bridges in the network a3 aisupported structural reliability assessment a4 risk assessment considering direct and indirect consequences and decision making hermes is expected to form the base for future research developments related to the topic of bridge management it will help the eu to achieve safer and more reliable transportation of people and goods around europe with immeasurable and fundamentally important macroeconomic benefits for the eu |
understanding kilonova diversity using radiative transfer simulations with realistic binary neutron star merger ejecta | the merging of binary neutron stars produces an explosive kilonova transient recently confirmed by the first ever detection of a kilonova at2017gfo coincident with a gravitational wave signal gw170817 the wealth of observations provided by at2017gfo offers the opportunity to probe the fundamental physics of binary neutron star mergers including the incompletely known equation of state of dense nuclear matter and rapid neutron capture nucleosynthesis the rprocess which produces half of all elements heavier than iron in the universe with the detection of at2017gfo and the new gravitational wave observing run of ligo virgo and kagra o4 the demand for kilonova simulations has never been so greatthe aim of this research is to produce sophisticated threedimensional kilonova radiative transfer simulations from binary neutron star merger ejecta with detailed rprocess calculations allowing simulations to be directly compared to observations i am uniquely placed to combine these complex simulations to selfconsistently model kilonovae enabling powerful constraints to be placed on the underlying physics through interpreting kilonova observations i will carry out the first threedimensional kilonova parameter space study based on realistic hydrodynamical neutron star merger simulations with a range of neutron star masses and equations of state the simulations will predict spectra using a state of the art linebyline opacity treatment for millions of line transitions of rprocess elements which allows spectral features to be directly associated with the ions responsible for forming the featuresthis multidisciplinary approach will constrain and improve hydrodynamical neutron star merger modelling kilonova radiative transfer simulations the high density equation of state and rprocess nucleosynthesis which are critical to move our knowledge of kilonovae and their role in producing heavy elements in the universe beyond the state of the art |
novel biomaterials to prevent dental periimplant infections | periimplant infections are a devastating complication of dental implants occurring in approximately 20 of all patients that can ultimately lead to implant instability and loss considering this high prevalence rate and the lack of predictive treatments in severe cases prevention of periimplantitis has become a major challenge in clinical dentistrynomad will develop innovative biomaterial approaches for dental implants from trl3 to trl5 various functionalised implant coatings for titanium and zirconia implant surfaces will reduce the risk of infection and associated inflammation improve softtissue sealing at the gum line and promote osseointegration a further innovation are multimaterial crowns and abutments using additive manufacturing combined with grafting of nanotubes enabling controlled release of prebiotic as well as antimicrobial compounds in response to bacterial adhesion at the onset of infection ie smart conditional release a combination of these approaches will be employed in the final product to provide a customisable allround solution focusing on crown abutment andor fixture for prevention of periimplantitisadvanced in vitro testing using complex cell cocultures in bioreactor systems and biomechanical stability tests will enable selecting the most promising biomaterials for testing in relevant in vivo models these results will enable rapid progression to firstinhuman studies of new biomaterials after the project a costbenefit and regulatory analysis will be performed and an innovation management strategy will develop a roadmap for commercialisation the nomad consortium includes a major dental implant manufacturer academic groups smes working on biomaterials innovation and a specialist innovation company the project is a major opportunity for enhancing eu competitiveness in biomaterials and intersector technology transfer |
healthcare innovation procurement network | the objective is to create a networkcommunityecosystem of procurers and relevant stakeholders in ppi the idea is to empower all the actors involved in ppi through this network focusing on the procurers we need to attract both experienced procurers and not experienced procurers if we want to succeed in this we will also need to analyse current barriers and needs of procurers and then create and shared tools to facilitate ppi for all the actors involved |
animal welfare indicators at the slaughterhouse | the objective of awish is to develop and offer a costefficient solution to evaluate and improve the welfare of meatproducing livestock at a large scale across europe this approach will be developed and evaluated in close collaboration with all actors involved from primary producers up to policy makers and citizens at the heart of the awish solution is the automated monitoring at the slaughterhouse of complementary animalbased indicators for monitoring welfare onfarm during unloading transport and slaughter besides that existing or routinely collected data slaughterhouse data antibiotics usage farm data etc and needed technologies onfarm or ontransport to complement the measurements at slaughter will be exploited piloting and development activities will be done in 6 broiler chicken and fattening pig production chains across europe fr pl es nl at rs using a lean multiactor approach in order to test and validate the project results novel sensor technologies and ai algorithms will be developed and a feedback tool and interface will allow each actor in the chain to get direct feedback of each batch visualize trends and benchmark animal welfare outcomes an animal welfare indicator catalogue will disseminate all validated indicators and standardized data collection methods from the pilot data animal welfare initiatives taken at operator chain regional or national level will be assessed alongside their environmental and socioeconomic impact at operator and sector level next to that 9 best practice guides will be developed to improve key welfare issues in pigs and broilers and to help external actors deploy the awish technologies and feedback tool how the feedback loop guides and motivates each party to take actions to improve animal welfare will be tested in a longitudinal study and the needs perceptions and barriers of all actors from farm to fork incl the consumer will be researched to maximize impact of the awish results |
on a quest for datadriven innovations to fuel sustainable food systems | the agrifood industry faces numerous challenges dealing with societal public health individual nutrition and environmental food waste and overall food system sustainability challenges imbalances and disconnected food markets are generating undesirable tradeoffs between the food supply the consumption patterns quality of nutrition and the environment interoperability and data sharing across agrifood supply networks is limited data can revolutionise the food industry and foster its contribution to inclusive and sustainable food systems data can be used to assist these stakeholders in making informed decisions on how to operate in a more sustainable and inclusive manner in this way they increase the efficiency of the food industry through the optimisation of relevant operations and the reduction of waste promoting transparency and demonstrate their commitment to ethical and sustainable production fooddataquest will develop groundbreaking datadriven solutions based on an integrated methodological framework that explores new types of private and public data sources data from unconventional players and noncompetitive data and leverages data sharing mechanisms in order to provide the eu food chain stakeholders with increased insights and enhance the transition towards sustainable healthy diets the proposed framework will include guidelines and data collection strategies to drive the food system transformation towards inclusive sustainable healthy diets within the boundaries of legal and policy frameworks fooddataquest will cocreate and test advanced datadriven solutions based on ai and ml algorithms following a multiactor approach that will serve as a lighthouse that positively impacts a fair healthy and environmentally friendly food system last fooddataquest will engage citizens into industrys datadriven innovations balancing between data openness and protection of private and sensitive data of multiple stakeholders |
understanding fintech regulatory sandbox development in europe | the growth and spread of fintech has created complex challenges that have placed a significant burden on current regulatory frameworks in response to the need to balance the promotion of innovation with the maintenance of financial stability and the protection of consumers one institutional innovation the fintech regulatory sandbox frsb has gained traction to meet these challenges however the trajectories of adoption and the level of development of frsbs vary significantly among eu countries in ways that remain underexplored the firsa project aims to fill this gap by offering a multidimensional measurement framework of frsbs in the eu to develop a greater understanding of their differences relative strengths and weaknesses and the mechanisms that lead to their implementation whereas existing comparative studies on frsbs have focused on their de jure characteristics this project will include de facto measures and will be organized in three interlocked stages stage one will output a measurement framework of frsb development in the eu stage two will create a typology of frsbs and validate it through qualitative case studies finally stage three will apply qualitative comparative analysis to explain the trajectories of the adoption of frsbs and factors influencing them all project results will be disseminated through a projectspecific website which will serve as a hub for all related activities and materials such as a dashboard on fintech regulatory sandboxes in the eu academic publications a webinar series and a policy brief its innovative framework and dataset will be made available for policymakers businesses and researchers and will improve market efficiency by offering a centralized information hub on regulatory sandbox practices and characteristics that can be used by innovative firms to inform their decisions on if where and how to enroll in these programs |
computationally driven discovery of organic dyes for photoredox catalysis from physicochemical principles and mechanistic information | photoredox catalysis has become a quintessential part of organic synthesis and gained wide interest in the chemical industry as a mild and robust synthetic methodology acridinium salts are a prominent substitute for transition metalbased photocatalysts pcs due to the modularity of the core which makes them and structurally related dyes an optimal platform for structureproperty tuning however a limited understanding of how structure influences reactivity prevents rational design while the synthetically realizable chemical space is far too vast to explore using even highthroughput experimental methodsthe objective of the proposed action is to study computationally the elementary mechanistic steps integral to photoredox catalysis to establish how they are each influenced by pc structure we will develop an automated workflow for highthroughput computational molecular pc construction and analysis in which known molecular fragments are coupled together by chemically precedented steps finally bayesian optimization will be used to guide the machine learning model building this is distinct from conventional approaches in the field as we aim to increase the quality of our model with mechanistic understanding from quantum chemical calculation my expertise in the fields of synthetic physical and computational organic chemistry provide me the necessary skillset and ability to learn new concepts and successfully execute this project the gained knowledge and results from the project will be an asset and help to build sustainable processes in the chemical industry in eu the work will be implemented in the research groups of prof robert paton and prof jeremy harvey with a secondment period in the group of prof abigail doyle the investigators combined expertise ranges from computational and empirical reaction mechanism study to data sciences and hence enables the project to incorporate complex mechanistic information to rational pc design |
the origin and impact of impaired ubiquitin signaling in the degeneration of neurons | neurodegenerative diseases share similar hallmarks such as protein aggregation suggesting that impaired protein degradation may be a common denominator the major cellular pathways mediating protein degradation are the ubiquitinproteasome system ups and autophagy both regulated by ubiquitin signaling however aside from specific mutations in familial neurodegeneration cases an early cause for failing ubiquitindependent proteolysis remains unclear this proposal will test our unconventional hypothesis that dysregulated ubiquitin signaling is an early event in mechanisms of neurodegeneration linking together numerous disease hallmarks towards this goal we present groundbreaking findings that a mutated ups protein resulting from a nonheritable transcription frameshift and present in the brains of neurodegenerative patients particularly alzheimers disease ad is sufficient to trigger disease hallmarks in 3d human neuronal cultures this unique setup replicates the main pathological hallmarks of ad without relying on any of the known genetic causes or risk factors utilizing this novel model we have identified a previously unknown enzyme active site in a key neuroprotective protein which now allows us to study the role of ubiquitin signaling in disease pathologyspecifically this proposal seeks to understand both the source of diseaserelated ubiquitin signaling deterioration and its impact on neurons by1studying the mechanisms that trigger disruption of ubiquitin signaling in neurons2understanding the consequences of altered ubiquitin signaling in human neuronal models of ad3searching for mechanisms of neuroprotection mediated by key enzymes of the ups the outcome will develop new models of neurodegeneration improve methods to study ubiquitin signaling in neurons and yield a mechanistic understanding of ups components in neuronal health and disease furthermore the results will pave the way for developing new treatment approaches |
sustainable ethics reviews of digital health technology design in sub saharan africa | the strategic project aims to cocreate responsible research and innovation approach that aligns with socialcultural values principles contexts needs and interests in ssa and implement capacity development plans that can strengthen the ethics and regulatory capacity to ensure responsible digital health technologies for clinical research and practice the project will involve ssa and eu partners and stakeholders and cocreate functional resources such as the strategic training materials the urgency of strengthening ethics and legal infrastructure for digital health technologies in ssa is due to the increasing integration of digital technologies into clinical research and practice and the potential negative impacts of these systems on patients communities and society while most countries in the global north have recognised the importance of responsible digital health technologies the ethics and regulatory capacities for addressing the ethical and legal risks of these technologies are still lacking in ssa the overarching aim of the strategic project is to cocreate a theoretically strong empirically supported and widely consulted responsible research and innovation approach and capacity development plan and materials that can strengthen relevant ethics and regulatory institutions for clinical research and practice in ssa it will identify and map the existing ethical and legal infrastructure in ssa highlighting the gaps and needs use these insights to cocreate an rri approach and codevelop and implementing trainings that will also be interested into existing training infrastructure and network it will also establish sustainable ecommunity that exist beyond the project methodologies to be used include stakeholder engagement and cocreation strategies such as focus groups consensus workshops and roundtable discussions |
transforming access to excellence with successful alliances of higher education in digital agriculture | widening countries lag behind the european average in research innovation investment and scientific excellence the domain of digital agriculture da is one prominent example higher education institutes heis of widening countries like greece and serbia can play a central role in addressing this issue but need support for achieving excellence in research and education in the da domain heis in belgium have gained significant experience by establishing an ecosystem that fosters close collaboration among heis competence centers digital innovation hubs and industry leveraging advanced digital technologies for the benefit of citizens business and scientific advancement in this light tallheda will build a new longterm alliance for da between agricultural heis from widening countries with leading nonwidening agricultural universities and local and international stakeholders tallheda alliance will contribute to raising the critical mass of highly skilled scientists and to establishing liaisons with surrounding ecosystems in order to foster the quadruple helix of innovation in widening countriesthe path to excellence will be paved with a portfolio of multiactor intersector and international complementary actions to support students earlystage and experienced researchers and academic staff of the widening heis this will be achieved through collaboration complementary toplevel expertise of all partners access to cuttingedge infrastructure staff mobility and joint educational and research activities the partners have an established scientific reputation in da and are committed to making tallheda a successin the long term widening heis will be one step closer to reforming their institutions in terms of content and quality of educational courses pedagogical and management practices and research and innovation capacity raising the critical mass of highly skilled scientists needed for digital transition in agriculture across europe |
cooling for electricity production batteryfree technology | cooled will explore the development of an innovative batteryfree technology to generate electcooled will explore the development of an innovative batteryfree technology to generate electricity using cold space in any place and at any time cooled proposes the powering of internet of things iot devices in smart cities this novel technology will combine a radiative cooler based on tridimensional 3d polymer metamaterials and a thermoelectric generator of 2d transition metal selenides the final proposal aims to produce a technology with the required maximum output power density 1 wm2 to power iot devices to accomplish this objective several steps must be undertakenthe development of 3d polymer metamaterials with excellent optical properties high solar reflection and high infrared emittancethe investigation of an efficient radiative cooler composed of 3d polymer metamaterials with enough cooling capacity to reduce the temperature to the required level the development of 2d materials of transition metal selenides with exceptional thermoelectric properties the engineering of highperformance thermoelectric generators based on the 2d materials studiedthe integration of a radiative cooler and thermoelectric generator in a single batteryfree technologycooled will be an excellent opportunity for the energy sector specifically in electricity consumption to explore new ways to save and recover energy using batteryfree and offthegrid technologies this ambitious proposal considers the exploitation of materials such as 3d polymer metamaterials and 2d transition metal selenides that will provide a huge benefit to the environment due to the generation of electricity using cold space without the use of batteries promoting renewable energy this proposal will allow the research of new investigation lines based on the development of devices of radiative cooler and thermoelectric generators formed by 3d and 2d materials respectively |
biocultural transmissions of obesity across generations in the digital era | obicode aims to significantly improve the research performance of the university of coimbra portugal by implementing a robust interdisciplinary research line in the field of anthropology it will do so under the leadership of one of the most respected and highly cited researchers in the field professor stanley ulijaszek emeritus professor at the university of oxford 1 in anthropology qs ranking and director of the biocultural variation and obesity unit ubvoobicode will use the holism principle of anthropology to develop and test an integration model of the social origins of obesity within and across generations under the influence of the digital ecosystem including web 20 and translate it into policy and intervention messages other objectives include a implement a doctoral programme on integrative models of obesity |
biomedai twinning | increasing demand for sophisticated clinical diagnostics makes current diagnostic capacities insufficient a potential solution lies in semiautomatic systems speeding up the diagnosis process artificial intelligence ai and machine learning seem to be very promising approaches to the automation of diagnostic systems however most academic ai systems are opaque black boxes that cannot be easily understood tested and certified also academic ai solutions are often hard to reproduce and their evaluation is insufficiently connected with clinical practice this motivates mu and mmci to team with two advanced partners ap mug and tub and establish a biomedai infrastructure allowing close cooperation of computer science and clinical experts to develop explainable trustworthy ai solutions both ap possess rich experience with ai solutions for healthcare namely processing large amounts of sensitive image and clinical data interactive machine learning methods with a humanintheloop and validating ai methods for healthcare the main body of the biomedai project concentrates on training computer science researchers at mu and clinical experts at mmci in the development of explainable ai methods based on highquality medical data and validated in a clinical setting concretely we propose organizing thematic workshops virtual training with handson experience in developing explainable ai tools and two summer schools one will be oriented towards basic research in explainable ai methods for image and clinical data processing and the other one towards the fair management of sensitive medical data furthermore the biomedai project will also increase the visibility and presence of the explainable ai research in healthcare at mu and mmci by training a pr manager responsible for presenting the research to various stakeholders and by training the existing project management staff at mu and mmci in writing grant applications for projects in eu and elsewhere |
microbesynthesised dna nanostructures for displaycontrolled storage cartridges | dna has a huge potential for the longterm storage of large amounts of data however writing editing and reading dnabased data is expensive and inefficient with current technologies our vision is to develop a lowcost energyefficient and fast data drive that is able to write edit store and retrieve dnabased data the data drive is based on simple and easily available hardware components plus bacterial cells the proposed technological solution enables the short medium and longterm storage of dnabased data to achieve this vision we will exploit bacterial genetic mechanisms that were evolutionarily optimized for billions of years such as coloursensitive genetic switches and dna exchange processes we have defined two specific objectives to achieve our goal as a proofofconcept we will store a large trajectory file of a molecular dynamics simulation encoded on dna our consortium has six partners from four european countries one research organisation two university and two smes will work together to achieve the outlined vision |
minimisation of the offshore wind and tidal turbine acoustic footprint on marine life | for renewable energies to be sustainable in the future their impact and harmful effects on the environment should be minimum recent evidences suggest that offshore wind and tidal turbines can have an acoustic damaging impact on marine life due to the sustained generation of noise which propagates very efficiently underwateroffcoustics combines numerical simulations and experiments to provide insights into the physics governing the aerohydroacoustic generation and propagation for offshore wind and tidal farms control of these physics will enable the design of silent offshore farms enabling renewable energy with zero acoustic impact first i propose to develop a novel aerohydroacoustic solver blending advanced high order numerical techniques through machine learning and trained with experiments to simulate flowacoustic signatures for wind and tidal turbines in realistic offshore environments including bathymetry airwater surface etc second an experimental campaign will generate aerohydroacoustic data for scaled turbines and farms to help elucidate the physics governing offshore acoustics and to guidevalidate the flowacoustic simulator third simulations and experiments will be combined to characterise turbines in complex offshore environments and to develop physicinformed surrogate models fourth using the developed surrogate models and optimisation offcoustics will propose new designs of silent farms that minimise the acoustic impact while ensuring energy productionmajor advances in multidisciplinary aspects are expected including fluid mechanics numerical simulations optimisation experimental acoustics aerohydroacoustics and offshore wind and tidal turbine physics |
conversas of muslim and jewish origin in the premodern crown of aragon parallels and contrasts | the project conversas explores the cultural identities of muslim and jewish cryptoreligious minorities within coerced monoconfessional premodern crown of aragon c 14001500 it will challenge traditional interpretations based on male centred historical documents and largely ignored within gender blind research by creating a novel concept of comparison especially between socioreligious characteristics of these groups female members converted to christianity moriscas christian women of muslim origin and judeoconversas christian women of jewish origin suspected of secret adherence to the religion of their ancestors the project aims to develop an adaptable multidimensional comparative and intersectional model to provide cultural historical and gender analysis of these religious groups as a sample of multidimensional methodology applied to the underutilized archival data most notably inquisitorial trial dossiers jewish and muslim religious and legal texts royal documents local legislations notarial and cadastral documents the applicant will write a research monograph accompanied by a database of selected manuscripts integrated into the hosts servers and coorganize a workshop the research will be conducted in a transdisciplinary research group at the universitat pompeu fabra upf in barcelona spain under the supervision of professor linda gale jones an international authority of comparative muslim and christian gender studies the applicant will bring philological historical and anthropological skills that will facilitate research in the group and the transfer of ideas since democratic managing of increasing cultural diversity represents one of the crucial challenges that europe is facing today the knowledge acquired from islamic and judaic intangible cultural heritage will prevent ethnic disintegration and promote understanding and reconciliation toward creating a plural tolerant and broadminded cohesive society |
codesigning human centric pathways for future skills in manufacturing through augmented empowered inclusive and symbiotic complementarities between ai automation and human task | the modern manufacturing landscape is undergoing a transformative twin transition integrating green and digital technologies to bolster value chain resilience and explore reshoring options amidst this paradigm shift concerns about job displacement by machines particularly through the rise of artificial intelligence ai and machine learning ml have become more pronounced this proposal delves into the challenges posed by the pursuit of excellence in the industry 50 framework focusing on the potential impact of digital technologies on job nature and the ensuing need for humantechnology complementarity the potential for ai to exacerbate social disparities and inequalities especially for vulnerable groups is also a significant concern additionally the manufacturing sector faces labor shortages impacting innovation capacity and economic competitiveness the mission of skillaibility is to address these challenges emphasizing the need for a humancentric approach to assess digital technologies and enhance workers employabilitythe proposal also outlines the short medium and longterm contributions of skillaibility towards a resilient inclusive digital transition in the manufacturing industry this initiative provides tools and methodologies to understand and respond to the impacts of emerging digital technology advancements on human tasks skills training and policymaking skillaibilitys holistic impact spans various societal industrial academic and regulatory dimensions affecting citizens people with disabilities workers trade unions industry players research institutions and governmental bodies through upskilling and reskilling initiatives skillaibility aims to empower citizens and workers mitigate the risk of task automatization and increase employability within the advanced manufacturing sector furthermore the proposal contributes to the manufacturing industrys growth by filling skills gaps increasing performance and pro |
strategic synergies cluster xkic bp 2325 proposal | the mission of the eit community strategic synergies eit css is to facilitate and foster collaboration across eit community in key thematic areas identified in the eit sia 2021207 and eu policy priorities by bringing together and promoting cooperation across the different kics involved the eit scc elevates the eit communitys visibility and impact in key areas to drive a systemic change in europe by gathering eit communitys answers to strategic challenges in one cluster the eit css creates links between programs that would otherwise never meet it increases scalability of actions and results it improves efficiency in terms of management and implementation of processes and attract new sources of fundings the eit css builds on the diverse expertise and knowledge of the kics involved and inspired by the holocaracy management framework yet aligned with eits recommendations it positions itself as unique community to address some of todays most pressing challenges for europe in four areas 1artificial intelligence by providing solutions for a humancentric implementation of ai that can best address its societal business environmental and regulatory challenges but also contributing to the ambitious deep tech talent initiative dtti initiave2new european bauhaus nebby supporting communitybased capacity building initiatives and startups to accelerate the shift towards a more sustainable inclusive and beautiful europe and contributing therefore to the green deal3women entrepreneurship by promoting a more inclusive entrepreneurial ecosystem mainstreaming business opportunities and increased the share of womenled innovation in the market4circular economy facilitating the shift from a linear to a circular economy model by connecting and engaging the different stakeholders of the innovation ecosystem |
rrrxai right for the right reason explainable artificial intelligence | deep deep learning dl is a form of machine learning ml that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts this hierarchy allows a dl model to learn complicated concepts by building them out of simpler ones a graph of these hierarchies would be many layers deep and thus its name a deep neural network dnn is based on an artificial neural network model and its core strength is that there is no need for human assistance to formally specify all the knowledge that the model needs this makes dnns represent the state of the art in artificial intelligence ai despite their top performance and ubiquity of applications from healthcare to autonomous cars dnns suffer serious shortcomings first dnns are considered black box models ie with complex and opaque algorithms hard to interpret and diagnose second they suffer from bias and the testing protocols for automatic recognition are not fair as they learn patterns in the data that are not correlated to the output eg they may focus on areas outside the lung in x ray images to predict the presence of covid19 although dnns outperform many other methods they often are not right for the right reasons rrr rrrxai tackles this mismatch and bridges this gap through a tight integration of dl and symbolic ai with the principal objective of making dl explainable to achieve this i will follow the rationale behind xai under the rrr philosophy and perform analyses to understand two types of phenomena that cause trouble in dnns second i will use 1 domain knowledge expertise as supporting evidence to explain a particular model output 2 neuralsymbolic computation to communicate the explanation of such phenomena in natural language i will study two practical use cases where supporting explanations of the model output are critical a covid19 prediction from chest xray images and b weapon detection in alarm systems and crowds from images |
sweepics swept lasers for noninvasive diagnostics | swept lasers have enabled paradigmshifts in biomedical imaging and diagnostics the sweepics project will research and develop the next generation of swept source lasers with flexible pulse modulation capability high power output multiwavelength coherent output and multiapplication potential sweepics will develop new laserbased systems a highspeed high resolution multiphoton high content screening system a multimodal noninvasive imaging system based on highspeed photoacoustics and multiphoton microscopy and a smart microscope for accelerated acquisitiondiagnostics the interdisciplinary consortium of european partners will showcase the sweepics technology in cuttingedge use cases based on novel vascular organoids for animalfree drugtesting and infection studies this disruptive sweepics technology will rapidly generate highresolution diagnostic imaging in threedimension where the high imaging depth permits penetrating millimeter deep into tissuelike organoids and imaging at high temporal and spatial resolution in order to allow for a drastic reduction of animal testing and increased speed of diagnostic results it will allow the study of dynamic processes in realtime and at multiple length scales enabling researchers to observe how cells and tissues respond to viral infections or pathogeninduced inflammation while also permitting a highthroughput enabled discovery of novel diagnostic biomarkersoverall this technology represents a major breakthrough in capable laser technology for high accuracy and throughput medical diagnostics and is poised to make significant contributions to the european laser and biomedical technology landscape |
generative idleness and gestures of reparation the resurgence and promises of intentional fallowing practices in european regenerative agriculture | this project proposes to investigate the resurgence of intentional fallowing as a practice for soil regeneration and as a tool for sustainability policies in europe it will deploy an interdisciplinary approach grounded in philosophy and multispecies ethnography to analyse the contemporary resurgence and mutations of intentional fallowing practices in european agriculture and policies as well as the cultural social and scientific consequences of this shift it combines qualitative research on european farms conducting experimental intentional fallowing a genealogical analysis of the historical and political context in which these practices are reemerging and an exploration of the adjacent spaces in which fallowing and fallowness are studied such as microbiology conservation biology and bioengineering by combining these three lines of inquiry the project demonstrates that fallowing is a marginalised practice currently under reevaluation and potential reintegration into projects and policies that go beyond agricultural concerns it will analyse the biopolitical and cosmopolitical dimensions of this renewed interest in alternatives to synthetic fertilisers and intensive agriculture by showing that fallowed soils are a site where a variety of interests and projects converge and by tracing how these practices take up replay and extend questions of productivity and idleness growth and alternatives to economic expansion this project will combine qualitative methods in particular indepth interviews with practitioners in the field with an extensive engagement with literature in agricultural science microbiology conservation biology and ecology producing an analysis of fallowing that cuts across what is usually deemed cultural and biological domains and studies the role promises and implications of fallowing practices in times of mass extinction and soil depletion |
integrating galileo and copernicus downstream applications to support dynamic use of public spaces | space4cities will dynamise the uptake of spacebased solutions for dynamic use and management of public space this is an area of smart city development which is currently lagging behind in digital transformation when compared to parallel domains of similar economic and social importance cities are at the forefront of fighting todays grand societal challenges as they consume 75 of the natural resources 78 of the worlds energy produce 50 of the global waste and emit 6080 of the greenhouse gases yet they account for less than 2 of the earths surface therefore space4cities project predominantly targets cities and densely populated regionscities face increasing pressure to tackle their climate challenges and to utilise their existing assets more efficiently while at the same time be more agile in reacting to constant change from climate events and other factors in effect cities need to be more dynamic and more resilient however currently cities are not able to manage their public space on ground and in air in an agile manner that would adequately support the increasing amount of different types of needs if the management of areas is to become dynamic it has to be based on dynamic data assetsthis project strives for better more dynamic management of public spaces answering a concrete need for cities and regions to be able to adapt to fastchanging requirements for transport infrastructure open spaces and city maintenance and to increase their resilience to cope with extreme and disruptive events via smart exploitation of space data the space4cities project aims to build replicable solutions for the dynamic management of public areas and a clear roadmap for europewide implementation of such space databased solutions |
a methodology for integrating community acceptance of wind energy into energy system modelling esm | decarbonisation of the energy system is key to achieving the paris agreement goal of limiting global temperature rise to below 2c which can be achieved by electrified and interconnected systems with a high share of variable renewables this transition is shaped by uncertain factors which include technology innovation resource availability and socioeconomic variables energy system modelling esm has been a key policy tool to study decarbonisation pathways esm provides stakeholders in the energy sector with knowledgebased and systematic methods to reach decisions about which technologies to support however present day esm mainly integrates technoeconomical input parameters whereas social factors such as local responses to new installations are largely neglected esm might therefore produce solutions that are not accepted by communities and as a result could jeopardize energy transition goals the main goal of windaccept is to develop an innovative and highly interdisciplinary mixedmethods approach to represent community acceptance stakeholder interests and wellbeing variables in esm this new methodology will be developed and applied to the case of norway a country with excellent wind resources but high local opposition towards their development the methodology will contribute to elucidate the impacts of community barriers and value the costs and benefits of alternative options on the net zero energy system design in norway and the effects on long term whole system decarbonisation in an interconnected europe this project will be made possible by combining the applicants experience in social acceptance of renewable technologies and the supervisors and hosts university of oslo expertise in esm the methodological and interdisciplinary trainingthroughresearch and unique set of skills gained from windaccept will position the researcher at the forefront of sociotechnical energy transitions modelling |
precise global temperature data for a growing planet | food security is an urgent global challenge to feed a population of 10bn by 2050 we must produce 50 more food despite water scarcity loss of arable land climate change lack of water water stress severely reduces crop yields the inability to measure water stress accurately leads to unpredictable and lowyielding harvests impacting the entire food supply chain from farm viability to food prices current crop health data is not fit for purpose leading to ineffective irrigation consuming 70 of global freshwater constellr will provide the first highprecision temperature data at field level daily globally from a uniquely scalable constellation of microsatellites hive enabling water stress detection in time to prevent yield loss the eic project will develop launch an mvp constellation generating the data required to increase global food production by up to 4 reduce agricultural water waste by up to 180 gigatons avoid up to 94m tons of co2 emissions |
hydrogen pem fuel cell system to retrofit ships in the marine transport industry | the hyekotank project will develop costeffective technology for retrofitting seagoing and inland waterway vessels with hydrogen pem fuel cell systems for emissionfree operations retrofit solutions are urgently needed to transform the waterborne transport and reach the reduction of green house gas emissions established by eu and imo by 2050 hyekotank project proposes the design development approval and demonstration of a 16 mw hydrogen fuel cell system the technology will be developed by a consortium of 13 partners who are experts in the field and demonstrated by retrofitting a container ship kvitnos under operation at fix round trip from rotterdam to the northern norway in the north seathe main challenges that need to be resolved concern the development of a costefficient fuel cell system specifically designed for maritime applications and suitable to retrofit existing vessels as well as the assessment and creation of hydrogen infrastructure and logistics for vessel refueling in ports as well as safe hydrogen storage and handling we aim at approving the hyekotank technology to deploy it for any type of vessel and operation while demonstrating the expected environmental impacts 50 ghg reduction during voyage 100 reduction in port and 50 total reduction yearly the project will take the technology from trl 45 to trl 8the hyekotank consortium is mostly composed by companies with industrialcommercial interest in the project results teco 2030 as no shell international exploration production bv nl shell international trading shipping company limited uk samskip is navtech bv nl tarbit shipping ab se teco 2030 innovation center as no fartygskonstruktioner ab se blom maritime as no teco solutions as no umoe advanced composites as no they are all experienced in providing services and commercializing products in the hydrogen andor maritime fields the consortium also counts with the participation of an academic partner universitetet i troms norges arktiske universitet no |
optimize risk prediction after myocardial infarction through artificial intelligence and multidimensional evaluation | myocardial infarction mi is a leading cause of death worldwide after mi longterm antithrombotic therapy is crucial to prevent recurrent events but increases bleeding that also impacts morbidity and mortality giving these competing risks prediction tools to forecast ischemic and bleeding are of paramount importance to inform clinical decisions but their current precision is limited improve events prediction by discovering novel and innovative markers of risk would have a tremendous impact on therapeutic decisions and patients outcome i hypothesize that using innovative multidimensional information from wearable devices biomarkers behavioral patterns and noninvasive imaging integrated through artificial intelligence computation we may discover novel computational biomarkers of risk and improve current standards of risk prediction in this project i will enroll a large cohort of mi patients whereby prospective collection of consolidated and innovative potential risk predictors will take place in order to generate a comprehensive and multidimensional dataset i will collect data from stateoftheart noninvasive imaging blood biomarkers wearable medical devices of continuous heart electrical activity sweat mobility and behavioral patterns to create a large physiological time series allowing patients deep phenotyping we will therefore analyze data leveraging artificial intelligence computation to find relevant associations with clinical outcomes and compare new algorithms with current risk prediction tools this research will increase our knowledge on bleeding and ischemic risk factors enabling enhanced capability predictions models in the near future we hypothesize that our clinicallyguided artificial intelligence algorithm might be integrated in clinical practice helping clinicians to inform treatment decisions patients to better understand their risk profile finally setting a common ground for shared patientphysician decisions |
precarious labour in asia exploring challenges and solution to labour insecurity through casestudybased evidence from 8 asian countries | a recent ilo report estimates that two billion workers are active in the informal economy the relevance of the phenomenon is even higher if the secondary effects of informal employment are considered and is likely to get worse given that climate change has come to increasingly affect those living in conditions of vulnerability pushing more people into the informal sector although informal economic activity is widely present in europe and north america constituting around 20 of the national gdp developing and emerging economies suffer disproportionately from this phenomenon for example the ilo estimates that africa asia and latin america host 93 of the worlds informal employment and have been on the rise due to the covid19 crisis altogether the world bank and ilo estimate that almost a billion people entered precarious work because of the pandemic with women and young people being the most affected categories prelab network includes academic and development organisations all with a major focus on informality and development to 1 train researchers in methodologies to measure informality in a global perspective 2 conceptualise ways to apply qualitative and quantitative methodologies that were successfully used eastern europe and central asia to our target countries in the asia pacific region 3 produce a consistent narrative on how to measure and tackle informality in emerging economies and 4 engage with policymakers and business actors in addition to the scientific community to identify ways to apply these approaches into development practice worldwide |
deciphering the newly discovered branchial cavity immune surveillance system to protect fish against infectious diseases in aquaculture | the sustainability of aquaculture an important food source for human is severely challenged by infectious diseases unfortunately the development of new therapies and vaccines is hindered by our incomplete understanding of the fish immune system the lack of knowledge of the mechanisms governing immune responses in the branchial cavity is particularly alarming considering that it represents a main port of entry for pathogens and is involved in many pathologies affecting farmed fish recent findings of new lymphoid tissues bound together by a previously unknown tonsillike organ inside an even larger lymphoid network revealed the branchial cavity as an unsuspected important region of the fish immune system the main objective of this project is to characterize this newly discovered branchial cavity immune surveillance system to harness its potential against infectious diseases in aquaculture toward this goal the project will take advantage of the zebrafish model to achieve the following objectives 1 characterize the newly discovered lymphoid tissues and tonsillike organ 2 decipher the rules of antigen sampling and transport in the branchial cavity 3 characterize the development of the branchial cavity lymphoid architecture 4 decipher the roles of the branchial cavity immune surveillance system in immune responses to infection and vaccines in a comparative effort the project will then study the branchial cavity immune system in atlantic salmon and other fish species relevant for aquaculture the methodology will combine sophisticated immunohistology nanotechnologies stateoftheart transcriptomic analysis antibodyassays and advanced 3d microscopy the project will progress far beyond the current knowledge in fish immunology which could drastically impact current paradigms in the field open new perspectives for fish vaccination and diseases monitoring in aquaculture and has the potential in the long term to positively impact human health |
harnessing the catalytic potential of nitrogenases | biological nitrogen fixation is natures alternative to the industrial haberbosch process that currently feeds at least half of the human world population through the provision of nitrogen fertilizers in addition to its high energy demand the process increasingly leads to various ecological problems as its annual output steadily grows with demand haberbosch ammonia synthesis leads to the release of the greenhouse gases co2 and n2o and to eutrophication of waters and aquifers because a substantial portion of nitrogen is lost to competing chemical and biological processes one solution for this is to transfer the enzyme directly into food cropsgofixit will establish the recombinant production of a complete nitrogenase enzyme system in a heterologous host and make a link to central metabolism effectively converting the host into a functional diazotroph nitrogenase is a twocomponent metalloenzyme that is uniquely able to reduce chemically inert atmospheric n2 into its bioavailable form ammonium it occurs only in prokaryotes is highly sensitive to o2 and it requires large amounts of metabolic energy in form of atp and a strong reductant for catalysis to obtain a functional production system all these points must be addressed in parallel based on our long record of research on nitrogenases we are ideally positioned to succeed focusing on our unique competence in preparative protein biochemistry and analysis we have produced isolated and structurally characterized all three nitrogenase isoforms and developed the spectroscopic and structural tools for a detailed analysis of their intricate metal cofactors gofixit focuses on the production of the enzyme components and based on their analysis chooses tunes and applies the required accessory machineries for the synthesis maturation transfer and insertion of the catalytic metal centres that are unique to this class of enzymes |
hybridelectric regional fuselage empennages | the aim of herfuse proposal is to design innovative fuselage and empennages suitable for the future hybridelectric regional aircraft her that will contribute to the overall target to reduce green house gases ghg emissions herfuse will study the challenges on fuselage and empennages layout material components manufacturing and assembly derived by integration of the relevant fuselage systems for her as defined in the sria for a hybridelectric regional aircraft and in her01 topic herfuse integrates features and components necessary to regional hybridelectric propulsion and complementary systems as well as improves weight durability aerodynamic efficiency and operational issues the technologies and solutions matured in this project shall be aligned and feed with models analyses and actual test data hera project on regional aircraft horizonjucleanaviation202201tra01 herfuse technologies manufacturing and assembly of critical components will make feasible achieving the targeted performance gains of her enablers such as low ghg energy sources batteries and fuel cells their storage probable liquid in hydrogen case their distribution and management operational and safety features thermal management provisions electrical and thermal insulation technical solutions set by the herfuse will contribute then to the overall target and studies performed at aircraft level in hera to reduce emissions namely herfuse integration requirements will be concurrent and complementary to the aircraftlevel ones set into hera |
deterministic e2e communication with 6g | digitalization is transforming industries and society with the adoption of edgecloud computing ai and digital twins in the future physical processes collaborating machines but also novel humansysteminteractions will move towards a cyberphysical continuum merging the physical world of senses actions as well as their digital programmable representations fundamentally new requirements for deterministic communication with predictable performance will appear for such cyberphysical endtoend services wired deterministic communication standards have already emerged including time sensitive networking tsn and deterministic networking detnet while 5g has specified mechanisms for interworking with those standards however the available support of 5g in conjunction with tsn and detnet is not sufficient for future endtoend timecritical applications driven by pivotal use cases from industry 50 deterministic6g addresses three central challenges of future deterministic endtoend communication enabled by 6g 1 a new architecture for 6g systems providing predictable performance and integrating it endtoend with tsn and detnet 2 novel datadriven awareness of stochastically evolving network performance with time synchronization over heterogeneous domains and 3 leveraging novel digital twins of both 6g networks and cyberphysical systems to anticipate situational circumstances impacting determinism of networks and safety of cyberphysical systems deterministic6g will also devise securitybydesign for deterministic communication including the integration of edge computing and the support of opc ua into deterministic network paths the project targets dissemination of results towards the three essential standardization bodies in this domain 3gpp for 6g ieee8021 for tsn and ietf for detnet with a strong consortium driving these standards deterministic6g will ensure uptake of the results and insights towards global 6g standards and industry fora |
quantifying the completeness of the stratigraphic record and its role in reconstructing the tempo and mode of evolution | darwin identified the incompleteness of the geological record as a major concern in our ability to reconstruct the evolutionary history from fossils geological strata are not however a random selection of the past but are deposited and preserved in processes which can be modelled mathematically this project employs numerical forward modelling a technique from sedimentary basin analysis to quantify how stratigraphic gaps affect evolutionary patterns in the fossil record it focuses on tropical carbonate platforms because they are the richest archive of biodiversity through the phanerozoic and are directly formed by organisms thus preserving a positive feedback loop between the environment evolution and sediment formation completeness of the record depends on the time scale of measurement previous work demonstrated that long gaps in the record in the range of 106107 years are reflected in biodiversity reconstructions here we address shorter gaps 103105 years which are more frequent but harder to detect they can be predicted using models of stochastic sedimentation astronomical forcing and sedimentary and diagenetic selforganization forward modelling will be used to simulate the effect of gaps in the record produced by each of these processes on diversity and character evolution this will allow us to answer the questions what part of diversity do we miss owing to the missing rock record are the preserved intervals exceptional or representative is there a systematic part of biodiversity and environmental records which will always fall into gaps by applying the findings of the forward modelling to fossil successions we will be able to identify and correct for the missing parts of the record and formulate testable hypotheses on the original tempo and mode of evolution at the highest temporal resolution achievable in the geological record |
nextgen ultrasound imaging by closing the perceptionaction loop | ultrasound us can revolutionize and democratize medical imaging if it offers 1 access for everyone and 2 excellent image quality iq mri offers 2 but is expensive and will thus not likely be able to provide 1 lowcost us hardware technology will enable 1 in the future but is not expected to yield the needed breakthrough for 2 consequently any paradigmshifting advance in signal processing technology that achieves us with excellent iq will have a huge impacti propose a conceptually new and highlyunconventional approach that i believe can lead to a new generation of us technologies with excellent iq i will formally describe us systems as intelligent autonomous agents that perform actions and perception using probabilistic inference the action is the acquisition probing the world and the perception is the reconstruction that infers what anatomy most likely generated the acquired us data i conclude that current us systems are in essence flawed agents since 1 actions are not driven by perception ie the perceptionaction loop is broken and 2 their generative perception models are naive my proposal will address this by closing the perceptionaction loop and offering strong perception models based on advanced deep generative networks this breaks a fundamental tenet in us imaging where i put forth the important concept that the acquisition and perception should work together to identify the point on the lowdimensional manifold of pure anatomy described by the generative model that is being imagedmy intelligent us agents will pursue excellent iq under the heading of a single probabilistic principle minimization of surprise under the agents own prior belief the generative model that such highquality images can indeed be achieved with this we open a new frontier within active imaging in us and beyond where data acquisition and information processing are treated jointly based on expressive generative density functions |
standardized approaches to modelling and examination of neuropsychiatric disorders | port in wrocaw is a young government institution that conducts cuttingedge research and promotes the commercialisation of scientific discoveries the aim of the twinning project is to place the life science and biotechnology centre lsbc of port in an international network of european biomedical research this will be achieved by intensifying collaboration with leading neuroscience centres from france germany and the netherlands the scientific focus of this initiative stems from the shared vision of the consortium partners to develop new solutions for neuropsychiatric diseases it is estimated that 27 of the eu adult population suffers from at least one mental disorder these statistics are largely due to inadequate understanding of the biological basis of the disease leading to suboptimal therapies recent studies have discovered numerous genetic risk factors for mental disorders the next step is to investigate their contribution to diseaserelated phenotypes using standardized approaches to modelling and examination of neuropsychiatric disorders the sameneuroid aims to adopt in port the methods developed in the partner laboratories in order to achieve a consistent experimental workflow to facilitate the discovery and validation of new therapies consortium partners will support the lsbc in boosting the technical skills and management excellence while educational resources will be utilized to accelerate the formation of the next generation of welltrained scientists interdisciplinary activities will be organized to disseminate the unified toolbox and crosspollinate the existing academic and commercial environments a comprehensive communication campaign for promoting our results among stakeholders will increase the competitiveness and visibility of port in the international research community collectively the sameneuroid will be a true milestone for positioning lsbcport as a new hub of excellence for neuroscience in the era landscape |
open and cocreated virtual worlds for europe | europe calls for the emergence of virtual worlds that characterises themselves for being open transparent inclusive ethically and environmentally responsible but also capable of restoring the technological sovereignty of eu industry in the global scenario of competition such european virtual worlds would foster the following benefits a higher accessibility greater freedom and control lower barriers to entry and more equitable distribution of resources b interoperability privacy and security as well as data ownership open humancentric virtual worlds would be able to interoperate with each other c more innovation creativity and social benefits open humancentric virtual worlds would foster a collaborative environment where developers and users could work together to create new experiences and features in that regards the overarching aim of openverse is to contribute to laying the foundations of such european virtual worlds by establishing a knowledge base on it setting up and animating a community of stakeholders testing a methodology that combines user cocreation and xr in real world cases of industrial and societal relevance exploring relevant ethical legal ipr and governance challenges and producing industry standards as well as a technology and policy roadmap and recommendations to guide the future establishment of the open virtual worlds concept in europe and worldwide |
development of photonic multisensing systems based on moleculargates biorecognition and plasmonic sensors | in the current world there is a clear need of advanced multisensing systems capable of providing fast and quantitative detection of a huge range of hazards which could affect human health in our daily life sectors such as healthcare food safety or environment control among others will require these tools to take fast and effective actions and prevent potential crisis impact in this context photongate aims to develop an adaptable diagnostics solution comprising photonic cartridges and readout platform which allow to quantify multiple analytes of the same or different nature biomolecules chemicals metals bacteria etc in a single test with levels of sensitivity and selectivity ator over those offered by current commercial solutions photongate technology relies on a new sensing concept which combines two core technologies a biochemical technology molecular gates which will confer the specificity and increased sensitivity to the system and on the other hand a photonic technology light interaction with local surface plasmonic resonance lspr structures working as transducers and allowing the quantification photongate consortium has been specifically designed for maximizing the project success since all the actors of the value chain are enrolled in addition the development and integration of the different photongate components have been designed searching for the european autonomy by using european research knowledge and fabrication networks as well as favoring european providers photongate goals will involve a significant progress beyond the stateoftheart in multisensing systems achieving faster and high sensitivity detection of multiples targets a final validation of photongate technology in relevant scenarios for health and food safety trl5 will be performed to demonstrate the system capabilities |
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