Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Providing risk assessments of complex real-life mixtures for the protection of Europe?s citizens and the environment (PANORAMIX)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Belgium,France,France,France,Netherlands,Denmark,United Kingdom,Denmark,Denmark
Call: Fostering regulatory science to address combined exposures to industrial chemicals and pharmaceuticals: from science to evidence-based policies (H2020-LC-GD-2020-3, 2020)
Start date: 2021-11-01
End date: 2025-10-31
Duration (months): 48.0
Total project cost (EUR): 4471092.5
EU funding (EUR): 4471092.5
Participants: 13
Project status: SIGNED

The toxicological impact of exposure to chemical mixtures is a matter of undisputed concern, but mixtures are only slowly making their way into regulatory risk assessment. Critical knowledge gaps are which and how many chemicals drive mixture effects in the environment and in humans. Scientific uncertainty remains on the validity of the dose addition principle for complex mixtures of large numbers of chemicals at low concentrations as they occur in our bodies. The PANORAMIX consortium addresses these challenges by showcasing a novel experimental path based on whole mixture assessments for identifying and quantifying the risk of chemical mixtures extracted from real-life samples representing environment and food as well as humans. We provide ready-to-use and practical tools for mixture risk assessment of several chemicals with a diverse range of adverse health outcomes. The applied methodologies, including a panel of in vitro assays coupled with effect-directed analyses and large-scale suspect and non-targeted chemical profiling are innovative in their combinatorial approach. Specifically, we will take advantage of a well-studied human cohort of new-borns, in whom adverse health outcomes related to developmental toxicity originating from chemical mixture exposure will be identified. PANORAMIX will use mixture modelling, case studies and experimental data to deliver a web-based interface for calculating risks to chemical mixtures and to define effect-based trigger values for in vitro effects that can be directly measured in water, food, and blood to identify when mixture exposure is posing a health threat. By involving regulatory and scientific stakeholders throughout the project, we support the implementation of existing mixture risk assessment and management approaches to reduce the most critical exposures and assist in optimizing regulatory approaches to yield evidence-based policies, contributing to EU's zero-pollution ambition for a toxic free environment in the future.

Keywords: chemical mixtures,bioassays,mixture modelling
Advancing Collaboration and Exchange of Knowledge Between the EU and Japan for AI-Driven Innovation in Manufacturing (EU-Japan.AI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Coordination and support actions
Countries involved: Spain,Austria,Greece,Slovenia,Japan
Call: Artificial intelligence for manufacturing (H2020-ICT-2020-1, 2020)
Start date: 2021-01-01
End date: 2022-10-31
Duration (months): 22.0
Total project cost (EUR): 498770.0
EU funding (EUR): 498770.0
Participants: 6
Project status: CLOSED

Artificial Intelligence technology is already having a great impact in many areas, especially including the manufacturing sector. The integration of AI with advanced manufacturing technologies and systems makes it possible to exploit the full potential in the manufacturing industry by achieving a higher level of adaptability, efficiency and robustness. At the same, such systems will be human centric and promote the inclusion and cooperation with humans during planning and execution which can help to improve the quality of products and processes. Both the EU and Japan have recognised these new development trends and their importance. In order to widely deploy these technologies, special attention is given to international cooperation and exchange of knowledge between EU and Japan for AI-driven innovation in manufacturing. The EU-Japan.AI project is responding to this need by implementing a platform-based approach to connect all the relevant stakeholders from EU and Japan working on AI applications for manufacturing. This platform, beside other tools, will include an open-information hub, encouraging the exchange of information on the respective research programmes and technological results. This will be supported by distribution of topic relevant materials, information on upcoming events and matchmaking opportunities and twinning activities to establish a vibrant and connected network at the heart of the platform, where a community of practice approach will facilitate the cooperation of all the participants. Convergence workshops will help to establish how research and innovation projects should address AI for manufacturing, the needs and requirements for AI from the point of manufacturers’ view as well as to address current needs and future requirements. Overall, the project aims to establish, stimulate and support a long-term cooperation between the participants, by connecting them via the project’s platform and by using modern, online-driven awareness approaches.

Keywords: eu japan cooperation,knowledge exchange,collaboration,universities,companies,stakeholder involvement,twinning,platform,knowledge base,calls,future cooperation
High-pErformance moduLar battery packs for sustaInable urban electrOmobility Services (HELIOS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Innovation actions
Countries involved: Germany,Germany,Spain,Germany,Türkiye,Bulgaria,Finland,Türkiye,Türkiye,France,United Kingdom,Denmark,Denmark
Call: Next generation and realisation of battery packs for BEV and PHEV (H2020-LC-BAT-2020, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 11476356.25
EU funding (EUR): 9993975.25
Participants: 19
Project status: SIGNED

The HELIOS project aims at developing and integrating innovative materials, designs, technologies and processes to create a new concept of smart, modular and scalable battery pack for a wide range of electric vehicles used in urban electromobility services, from mid-size electric vehicles to electric buses, with improved performance, energy density, safety, lifetime and LCoS (Levelized Cost of Storage). Novel developments that integrate hardware and software solutions for the smart control of electrical and thermal management systems that exploit advanced materials, power electronics, sensors and cutting-edge ICT, such as cloud-based Big Data Analysis, Artificial Intelligence and IoT (Internet of Things) technologies running in the cloud are investigated and implemented within the HELIOS action. These combined approaches enable: i) increase energy and power density; ii) enhance key characteristics like ultra-high power charging; iii) improve safety; iv) improve E fleet control and health management strategies to extend lifetime; v) create optimised EV charge and discharge procedures and predictive maintenance schedules; vi) monitor SOC (State of Charge), SOH (State of Health) and carbon footprint for each battery pack throughout its entire life cycle, which allows an effective integrated supply chain for the manufacture, reuse and recycling of Li-ion battery packs to be established; viii) improve battery pack design and performance with reduced LCoS, based on a circular economy approach where the modular battery packs can be easily re-used in a range of 2nd life applications prior to EoL recycling and ix) assessment of HELIOS solution effectiveness in different urban electromobility models such as car-fleets and e-bus fleets.

Keywords: modular and scalable battery packs,thermal management,fast charging,performance and health management
Compact Gasification and Synthesis process for Transport Fuels (COMSYN)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Alternative fuels and mobile energy sources
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Germany,Finland,Czechia
Call: Development of next generation biofuel technologies (H2020-LCE-2016-RES-CCS-RIA, 2016)
Start date: 2017-05-01
End date: 2021-04-30
Duration (months): 48.0
Total project cost (EUR): 5096660.0
EU funding (EUR): 5096660.0
Participants: 9
Project status: CLOSED

The aim of the COMSYN project is to develop a new BTL production concept that will reduce biofuel production cost up to 35 % compared to alternative routes. This means < 0,80 €/l production cost for diesel. The production concept is based on distributed primary conversion of various kinds of biomass residues to intermediate liquid products with small-to-medium scale (10-50 kt/a FT products) units located close to biomass resources. The primary conversion will be integrated to local heat and power production resulting in 80 % energy efficiency in biomass utilization. The FT products will be refined to high quality drop-in liquid transport fuels at existing oil refineries. The novel gasification technology will enable the use of wider feedstock basis than the current gasification processes. In addition to woody residues, the process is able to utilize straw and other agricultural residues, and various waste-derived materials which create new job opportunities and stimulate economy also close to the production sites. The produced FT-wax will be transported to existing large scale oil refinery, which will be gradually converted into biofuel refinery as the number of primary conversion plants increases. The new technology enables decentralized production of FT-wax. All the LCE-08-2016 call objectives with respect to increased conversion efficiency, significant biofuel cost reduction, diversification of raw material base, reduction of emissions, creation of job opportunities and the flexibility and productivity of industrial processes are met. COMSYN brings together Participants representing all competences that are needed to fulfil the project objectives. The project consortium uniquely combines top-level European SME and large industrial companies and research institutes. The expertise of all of the partners includes strong engineering, equipment and component manufacturing as well as techno-econom

Keywords: gasification,fischer tropsch,biomass to liquid,biofuels,ft wax refining,sulfur removal,zno sorbent,gasification gas clean up
Boosting DR through increased communIty-level consumer engaGement by combining Data-driven and blockcHain technology Tools with social science approaches and multi-value service design (BRIGHT)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Innovation actions
Countries involved: Italy,Estonia,Italy,Italy,Italy,Romania,Romania,Belgium,Belgium,Slovenia,Belgium,Greece,Greece,Slovenia,Netherlands
Call: Consumer engagement and demand response (H2020-LC-SC3-2020-EC-ES-SCC, 2020)
Start date: 2020-11-01
End date: 2023-10-31
Duration (months): 36.0
Total project cost (EUR): 5877633.75
EU funding (EUR): 4656307.13
Participants: 16
Project status: SIGNED

The increasing electrification of heat and transport coupled with larger RESs deployment of decentralized RESs is disclosing new additional opportunities for demand response. However DR potential has been exploited so far to a very limited extent at end consumer residential level, due to technologies immaturity, regulatory fuzziness, distorted business framework preventing end consumers to capture an appropriate value. To cope with the above challenges, BRIGHT will leverage on a participatory co-creation process to bring individual consumers center stage to deliver a multi-layered community-centred cross-domain adaptable multi-timescale DR supporting framework which combines social-science-driven user experience design for user behavior motivations and monetary/non-monetary incentive design, Digital Twins models for improved consumer predictability, multi-layered P2P DLT/blockchain/smart contracts based semi-decentralized VPPs for capturing intra-community interaction dynamics, value stacking flexibility management algorithms and other AI data-driven energy and-non energy services at the interplay among energy (power, heat, gas), mobility, health (comfort), smart home (AAL, personal safety). The proposed approach and the underlying enablers will be deployed and validated in 4 demo-sites across 4 EU countries where around 1000 mostly residential consumers will be engaged along a variety of different community configurations (LEC, CEC, Virtual Energy Communities, Communities on the Move).

Keywords: participatory user experience design,social driven consumer incentive design,multi time scale demand response,community driven aggregation mechanisms,p2p decentralized multi layered vpp
Life-long cross-generational priming of the hypothalamus for obesity (FOODFORLIFE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Austria
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 2498960.0
EU funding (EUR): 2498960.0
Participants: 1
Project status: SIGNED

Evolutionary success drives continuous human adaptation. A pervasive challenge is the substantial change in the composition and nutritional value of diets available. This is particularly relevant for child-bearing women because metabolic bias through diet composition can adversely affects pregnancy outcomes. Even though clinical and experimental studies correlate maternal obesity during pregnancy (affecting ~30% world-wide) with congenital metabolic illnesses, a causal relationship between maternal obesity, impairment in neuroendocrine development and ensuing deficits in metabolic control of affected offspring is as yet missing. The hypothalamus is the neuroendocrine interface linking the brain and periphery. Thus, we hypothesize that maternal obesity could evoke permanent molecular changes in hypothalamic neurons of the offspring to compromise their plasticity and adaptive repertoire. This notion is on the backdrop of our recent success in defining, by singe-cell RNA-seq and brain-wide imaging, the developmental trajectory of neurons that build the mammalian hypothalamus, and in discovering the function of novel neuronal subtypes. Here, we will determine molecular, cellular and network-level changes in the hypothalamus of offspring born to obese mothers. We will combine single-cell RNA-seq and ATAC-seq in the same neurons to precisely catalogue permanent modifications to gene expression at successive developmental stages in mice. We will particularly interrogate molecular determinants that can impair the neuronal circuitry controlling food intake, including leptin and endocannabinoid interplay as a candidate. We will complement these data by identifying novel cellular sites of hormone secretion that shape brain and bodily architecture and are sensitive to maternal obesity. Overall, our work will produce new understanding of the life-long consequences of metabolic programming of the developing brain.

Keywords: foetal development,hypothalamus,maternal obesity during pregnancy,cellular diversity,single cell rna seq
Biologically Inspired Molecular Adhesives towards Multifunctional Biomaterials and Microreactors (VELCROProtein)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Switzerland
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1998496.0
EU funding (EUR): 1998496.0
Participants: 1
Project status: SIGNED

Recombinant proteins, including enzymes and antibodies, have revolutionized many sectors of biochemistry and biotechnology. In this project I propose a groundbreaking technology to control the supramolecular assembly of proteins in space and time to better mimic cellular organization and create a next generation of protein “living” materials for biocatalysis and medicine. The core idea is to mimic cellular multiprotein assemblies and microreactors on the bench, by compartmentalizing multiple proteins in space. Increasing evidence indicates that cells can coordinate crucial functions by forming membrane-less compartments via liquid-liquid phase separation of proteins and nucleic acids. Most of the proteins involved in this process consist of globular regions and disordered domains, which are enriched in specific aminoacids and pilot highly controlled self-assembly. In this project we will conjugate functional globular proteins with sequences that mimic the disordered biological domains and act as “molecular Velcros”, thereby coupling biochemical functions with phase separation in space and time. Using a combination of microfluidic technology and in silico analysis, we will develop sequences capable to control not only the dynamic process of phase separation but also the phenotype of the resulting compartments, including selective recruitment of molecules, physical properties and response to specific switches. This project will deliver adaptive compartments with unprecedented control of composition, environment, biochemical function and stimulus-responsiveness, going towards the development of networks of open microreactors, superior enzymes for green chemistry as well as smart materials for drug delivery. Moreover, the results will generate new knowledge on natural supramolecular structures that are associated with both functional biology and aberrant aggregates involved in devastating disorders such as Alzheimer’s and Parkinson’s disease.

Keywords: protein self assembly,protein aggregation,cellular membraneless compartments,microfluidics,complexity domains lcds,intrinsically disordered domains,biocatalysis
SPACE ETHERNET PHYSICAL LAYER TRANSCEIVER (SEPHY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Austria,France
Call: Technologies for European non-dependence and competitiveness (H2020-COMPET-2014, 2014)
Start date: 2015-05-01
End date: 2018-12-31
Duration (months): 44.0
Total project cost (EUR): 3115222.5
EU funding (EUR): 3115222.5
Participants: 6
Project status: CLOSED

The growing complexity of space systems is creating the need for high speed networking technologies to interconnect the different elements of a spacecraft. This interest has spurred initiatives by both ESA and NASA to define the next generation networking technologies for Space. In both cases, Ethernet has been the preferred choice due to its wide adoption in terrestrial applications and because it is fully specified in standards to ensure interoperability. The requirements for integrated circuits that have to operate in space are very different from those that are used in terrestrial applications. In particular, the radiation is much more intense and causes several types of effects on the devices that compromise their reliability. Therefore, special “rad-hard” design and manufacturing techniques are needed for devices that will operate in space. This means that to implement Ethernet in space systems, rad-hard Ethernet components have to be designed. The goal of this proposal is to design and manufacture rad-hard Ethernet PHYs (Physical layer transceivers). In particular a 10/100Mbps PHY is targeted as the first short term objective. This device will enable the use of Ethernet in space systems and also provide the starting point for the long term objective of implementing a Gigabit Ethernet PHY for space. To that end, the proposal includes a feasibility study and also contributions to the 1000BASE-T-1 Ethernet standard. To implement the Ethernet PHYs, the consortium has significant analogue (Arquimea) and digital (IHP) design capabilities. In addition, it has also experience on the upper layers of Ethernet and its use in Space systems (TTTech) and on the design and implementation of Ethernet PHYs and Ethernet standards (Universidad de Nebrija). Finally, the electronic technology and manufacturing capabilities are also covered (ATMEL) as are the space system perspective and testing (Thales Alenia Space Spain).

Keywords: ethernet,asic,mixed signal,radiation testing,ttethernet,soi technologies