Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Using the halo model to maximise the information gain from forthcoming weak-lensing surveys. (Halo modelling)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Spain,Canada
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-09-01
End date: 2020-10-31
Duration (months): 36.0
Total project cost (EUR): 242683.2
EU funding (EUR): 242683.2
Participants: 2
Project status: CLOSED

The mechanism behind the current phase of accelerated expansion of the Universe is not understood. Either space is filled with dark energy, a substance that has never been detected in an earth-bound laboratory, or the gravitational equations of Einstein are incorrect and acceleration arises naturally within the correct theory. There are now a wide variety of models that purport to explain accelerated expansion, and often these models make different predictions for how matter is clustered in the Universe. Weak gravitational lensing uses measurements of the deflection of light from distant galaxies to infer the intervening distribution of matter, and thus allows us to discriminate between acceleration models. However, in its present state the lack of accurate modelling for the distribution of matter as a function of cosmological paradigm will be the major limitation in the interpretation of forthcoming weak lensing data: the goal of the 'halo modelling' project is to provide the required accuracy of modelling. To achieve this, the Fellow will take a novel hybrid approach; combining results from perturbation theory, high-accuracy simulations and semi-analytics. Crucially, the 'halo modelling' project will simultaneously improve our understanding of the distribution of baryons relative to dark matter in the Universe, and incorporate this. The current ignorance of the level of mass redistribution caused by baryonic feedback processes has the potential to severely degrade the constraining power of forthcoming lensing surveys.

Keywords: cosmology,large scale structure,weak gravitational lensing
From individual cognition to collective intelligence (GROUPCOG)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-04-01
End date: 2018-03-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

In many taxa, individuals form groups that collectively process information and make decisions. Through pooling information, these groups can theoretically achieve better decisions than solitary agents. However, it has become increasingly clear that understanding successes and failures of collective decision-making requires a detailed understanding of individual cognitive abilities and of information transfer among group members. I would like to build on my background in social insect collective behavior to investigate a longstanding question in complex systems science: when and how does collective intelligence emerge from individual cognition? I propose to elucidate this issue using novel experiments with homing pigeons–a species that has numerous advantages as a model system. First, pigeons can process information both individually and collectively. When flying alone, each pigeon establishes idiosyncratic habitual routes over time, based on memorized chains of landscape cues. Flocks of pigeons are also collectively able to develop distinctive routes. Thus, I can directly compare the cognitive performance of individuals and groups by giving them the same spatio-cognitive tasks. Second, as pigeons have been among the most important subjects in laboratory experiments on animal cognition, a wealth of data is available on pigeons’ individual cognition. Finally, cutting-edge GPS devices provide high-resolution spatiotemporal data, allowing me to create and validate highly detailed individual-based models. My results will be applicable to multiple research fields, including optimal decision-making theory and collective robotics.

Keywords: collective cognition,wisdom of crowds,information transmission,cumulative cultural evolution,social learning,agent based model
LEARNING TECHNOLOGY ACCELERATOR (LEA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Coordination and support actions
Countries involved: Germany,Spain,Italy,Germany,Austria,Italy,Belgium,Hungary,Finland,Finland,Sweden,Sweden,Portugal,Portugal
Call: Innovation procurement networks (H2020-ICT-2017-1, 2017)
Start date: 2018-03-01
End date: 2020-06-30
Duration (months): 28.0
Total project cost (EUR): 1920093.9
EU funding (EUR): 1920093.75
Participants: 18
Project status: CLOSED

Based upon the finding from IMAILE PCP of Innovative STEM/PLE (www.imaile.eu), the project LEARNTECH ACCELERATOR ( LEA) will take a quantum leap from being one standalone project to critical mass of European procurers who will: 1. Unify LEA procurers network and "Observer Cities " 2. Implement IMAILE PCP lessons learned as LEA baseline 3. Recommend a LEARNTECH Demand policy - 2030 to reduce fragmentation of the public sector 4. Enable increased dialogue between demand/ supply side 5. Provide transfer of knowledge for the LEARNTECH community ( other procurers, industry, start-ups , end - users and policy level) in order to remove barriers of innovative procurement 6. Prepare one PPI ( based upon IMAILE) and one additional future PCP 7. Speed up awareness rising of innovative procurement including cross sectorial value chains LEA WP- METHODOLOGY is developed in order to achieve the above mentioned objectives and with focus to "ACCELERATE": - LEA network collaboration ( WP 2) - Demand policy recommendations ( WP 3) - Dialogue tools/ venues between demand & supply side ( WP 4) - Knowledge transfer within the community ( WP5) - Awareness rising on EU level ( WP 6) This unified and knowledge based action will result in the LEA ROADMAP 2030 including: -Critical mass of European procurers of LEARNTECH in collaboration acting first customers -User cases for evidence of cost& time saving/ standardization/ interoperability as results of innovative procurement -2030 LEARNTECH market foresight and demand policy -Training material/methods/tools for increased competence and dynamic dialogue among LEARNTECH community -One prepared PPI absed upon IMAILE with lessons learned - One addtional prepared PCP identified in LEA Implementation of the LEA project shall contribute to SMART, INCLUSIVE AND SUSTAINABLE DEMAND BASED DEVELOPMENT OF LEARNING TECHNOLOGY

Keywords: learning technology procurer s network,demandand supply side dialogue,demand policy,knowledge transfer,awareness rising,pcp and ppi,stem learning analytics
Photonics for Healthcare: multiscAle cancer diagnosiS and Therapy (PHAST)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Austria,Germany,Germany,Ireland,Italy,Italy,Spain,Italy,Sweden,France
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-09-01
End date: 2024-08-31
Duration (months): 48.0
Total project cost (EUR): 3939917.76
EU funding (EUR): 3939917.76
Participants: 14
Project status: SIGNED

The European Training Network PHAST (Photonics for Healthcare: multiscAle cancer diagnosiS and Therapy) provides excellent, highly-skilled education and training in the vibrant field of Biophotonics for 15 Early Stage Researchers (ESRs) in a strong multidisciplinary PhD programme. PHAST addresses some relevant “unmet needs” of the medical community in prevention, diagnosis and treatment of cancer – one of the leading causes of death worldwide – to significantly improve the quality of life for European society. The main scientific goal of PHAST is to develop multiscale advanced photonic technologies for the diagnosis of cancer in vitro and in vivo and the monitoring of therapy for personalized medicine, through its four specific objectives: 1. In-vitro diagnosis as point-of-care approach through optical spectroscopy combined with innovative sampling techniques. 2. Tissue diagnostics and functional monitoring by optical fibre-based biopsy and diffuse optical spectroscopy. 3. Microscale cancer monitoring by multimodal optical imaging of tumour borders during surgery. 4. Macroscale therapy monitoring by diffuse optical spectroscopy, multifunctional optical fibre sensors, autofluorescence, and hyperspectral imaging. The multi-scale level approach employed by PHAST will allow early cancer detection from molecular disease markers in body-liquids up to live organs. In specific cases these techniques will be validated in the clinic thanks to close collaboration with medical institutions. The ESRs will be trained to all the technologies through hands-on laboratory platforms, thematic workshops and courses to build solid careers as biophotonics professionals in both academic and non-academic sectors. This will be possible thanks to the multidisciplinary environment created by the PHAST consortium, composed of research institutions, 2 hospitals and 8 industries, among them specialized small companies as well as global players in the field such as Horiba, Philips and Zeiss.

Keywords: cancer diagnosis and treatment,clinical biophotonics,optics,photonics,raman spectroscopy,multifunctional fibre sensors,diffuse optics,multimodal imaging,optical coherence tomography
Megawatt scale co-electrolysis as syngas generation for e-fuels synthesis (MegaSyn)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Public-private partnerships
Destination: Fuel Cells and Hydrogen
Action type: Innovation actions
Partnership: FCH2 (Art-187)
Countries involved: Austria,Austria,Germany,Luxembourg,Denmark
Call: Demonstration of large-scale co-electrolysis for the Industrial Power-to-X market (H2020-JTI-FCH-2020-1, 2020)
Start date: 2021-04-01
End date: 2025-03-31
Duration (months): 48.0
Total project cost (EUR): 7785793.75
EU funding (EUR): 4999449.39
Participants: 5
Project status: TERMINATED

In order to combat the climate changes and to reach the European goals for reduction of greenhouse emissions, fossil fuels must be replaced with renewables. MegaSyn will contribute by upscaling high-temperature co-electrolysis to mega-watt scale to produce green syngas (CO + H2) out of renewable electricity, waste CO2 and H2O. This process is called Power-to-X; it is the most important approach to decarbonise hard-to-electrify sectors such as the iron and steel industry, the chemical industry as well as heavy and long-distance transport, as syngas can be used as precursor for the manufacture of e-fuels and other chemicals. By using the co-electrolyser technology, the highest overall process efficiencies can be achieved. MegaSyn will demonstrate that syngas can be produced via the solid oxide electrolyser cell technology (SOEC) in quantities relevant for industrial applications, while showing the way to competitive electrolyser costs and durability. It will be the world’s first demonstration of syngas production by co-electrolysis on the mega-watt scale in an industrial environment at the Schwechat Refinery in Austria. The project will lift the technology from TRL 5 to TRL 7, thus taking an important step towards commercialisation. The consortium is carefully selected to cover all the necessary competences: DTU and TU Graz, respectively, will improve knowledge on degradation of cells and stacks and purification needs of feed streams, while Sunfire will design & build the co-electrolyser; OMV will install it at their Schwechat Refinery and Paul Wurth will perform the engineering of overall system integration. After installation, the MegaSyn system will run for 2 years to demonstrate the production of >900 kg syngas based on renewable energy. Integrating the co-electrolyser based MegaSyn system at a refinery proves its value not only for the production of e-crude but also as a mega-watt scale system that can be integrated in e.g. the chemical industry.

Keywords: solid oxide electrolysis cells,co electrolysis,megawatt scale,power to x,syn gas production,refinery,2 year demonstration,degradation,electrochemical performance,techno economic assessment
INTEGRATED AND ADAPTIVE RESPONSES TO TOXIC EMERGENCIES FOR RAPID TRIAGE: ENGINEERING THE ROADMAP FROM CASUALTY TO PATIENT TO SURVIVOR. (TOXI-triage)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Innovation actions
Countries involved: Germany,Germany,Spain,Germany,Germany,Germany,Finland,Norway,Finland,Finland,Greece,Greece,Czechia,Netherlands,United Kingdom,United Kingdom
Call: Crisis management topic 2: Tools for detection, traceability, triage and individual monitoring of victims after a mass CBRNE contamination and/or exposure (H2020-DRS-2014, 2014)
Start date: 2015-09-01
End date: 2019-09-30
Duration (months): 49.0
Total project cost (EUR): 12931869.25
EU funding (EUR): 11966510.5
Participants: 21
Project status: CLOSED

The seven specific objectives of TOXI-triage address the operational; technological; ethical and societal dimensions of CBRN response and recovery, and importantly the economic base from which sustainable CBRN and multi-use systems are derived. 19 partners in 4 Task forces will deliver 9 Work Packages (WPs) that address: end user specifications; Design and delivery; Test and Validation; and, Impact. The approach defines a concept of operations that envisages accelerated delivery of situational awareness through an ensemble of embedded sensors, drones, standoff detectors (including cameras), artificial intelligence for processing sensor signals and web-traffic from social media, and centralised command and control. Wireless traceability of casualties provides dynamic mapping including medical care. 2 field exercises are intended to test and verify the operational attributes of the systems, and 3 WPs focus on impact to deliver: Exploitation; Security and Ethics; and Effective Innovation Management. Distinctive technological attributes of TOXI-triage include: rapid non-invasive assessment of exposure/ injury through monitoring metabolic markers of injury; managing and exploiting the semantic web; traceability by design; aptamer-based bio-sensing; casualty-to-discharge system integration; and integrated environmental and stand-off hazard designation. The approach is rigorous with clinical trials to test systems in poisoning clinics and live agent tests in laboratories designated by the UN’s OPCW. Distinctive societal attributes of TOXI-triage include: addressing the needs of all vulnerable groups; optimising inter-cultural/ethnic messages and needs in CBRN response; fostering economic impact by multiple-uses for all the project’s systems. TOXI-triage intends that its outcomes will be used routinely in medical/environmental/urban and search and rescue emergencies. The benefits are intended to extend significantly further then enhanced CBRN resilience

Keywords: traceability,toxicology,clandestine laboratory detection,ion mobility spectrometry,hyperspectral imaging,mobile devices and information analysis,communications,non invasive diagnostics
VIRTUAL CENTRE FOR DISTRIBUTED ATMOSPHERIC SENSING FOR REDUCTION OF POLLUTION PRESSURES (VIDIS)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Australia,Italy,Norway,Serbia
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2020-11-01
End date: 2024-04-30
Duration (months): 42.0
Total project cost (EUR): 946250.0
EU funding (EUR): 899125.0
Participants: 4
Project status: SIGNED

Air quality still poses a challenge to health, ecosystems and climate in Europe, despite decades of positive developments. Since the adoption of the first EU legislation on ambient air, the process knowledge has increased, the remote and in-situ observing technologies have undergone major developments, and new potent ICT infrastructures have emerged. Low cost sensing technologies have enabled a paradigm shift in air quality monitoring, triggering new research needs and opportunities in order to underpin the new capabilities. VIDIS will develop strategic partnership of VINCA Institute (SR) with leading international counterparts known for research on low-cost sensing (ENEA (IT), NILU (NO), Queensland University (AU)). VIDIS will establish scientific collaboration and networking and generate new knowledge that will allow the society to meaningfully utilize the new technologies, e.g., the emerging democratized data collection. VINCA is recognized in atmospheric research and in-situ monitoring including low-cost technologies. In order to fully capitalize on and improve this expertise, there is a need to establish a strategic partnership with institutions excellent in areas VINCA has been pursuing. VIDIS will improve observing capabilities and develop quality systems needed to ensure meaningful data integration. It will develop artificial intelligence and machine learning methods allowing to integrate the new types of data into existing information systems. Building on methods and data collected from ongoing projects of all partners, VIDIS will establish collaborative research, education, training and dissemination activities, early stage researcher training and mobility, and support early stage researcher career development also in research administration and stakeholder contact. This will increase the innovation capacities of VINCA and partners, improve VINCA’s collaborative potential, and contribute to excellence of European research and innovation.

Keywords: research excellence,air pollution,atmospheric monitoring,statistical,physical,chemical,modeling,particulate matter,exposure,health risk assessment,low cost sensor,distributed,sensing,citizen science
A new therapeutic platform based on nanotechnology to promote T- and B-regulatory networks (NANOBreg)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-05-13
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

The complexity of autoimmune responses is a barrier to the design of strategies that can selectively purge the immune system of autoreactivity without impairing systemic immunity. Recently, Santamaria et al. have shown that nanoparticles (NPs) coated with type 1 diabetes (T1D)-relevant peptide–MHC (pMHC) complexes can restore normoglycemia in diabetic animals by blunting the diabetogenic autoimmune response without impairing systemic immunity. pMHC class II-NP therapy functions by expanding, in an epitope-specific manner, autoantigen-experienced T-regulatory-1 (TR1) CD4+ T-cells that inhibit the recruitment of other autoantigenic specificities by: (1) suppressing autoantigen-loaded antigen-presenting cells in the pancreatic lymph nodes (PLNs); and (2) promoting the differentiation of B-cells into B-regulatory cells. Importantly, they have shown that human T1D-relevant pMHC class II-NPs also promote human TR1 CD4+ T-cell formation in NSG mice engrafted with peripheral blood mononuclear cells from recent onset T1D patients. Here, I propose a multidisciplinary approach to test the following hypotheses: (1) Breg formation is driven by a cognate interaction between TR1 cells and autoreactive B-cells; (2) TR1-derived cytokines play critical roles in TR1-driven Breg conversion in vivo; and (3) the B-cells that are recruited to the PLNs of pMHC-NP-treated humanized NSG mice are enriched for Breg cells. Furthermore, I will work with the enterprise SEPMAG, to design a scalable magnetic separation device for future clinical development of these compounds. Collectively, NANOBreg will provide new insights into the biology of the TR1-Breg regulatory pathway and will enhance our knowledge on the mechanisms of action of this novel therapeutic approach. In addition, it will address a manufacturing bottleneck by bridging academic research with the manufacturing industry while enhancing my career development in an area of huge potential growth and translational significance.

Keywords: autoimmunity,type 1 diabetes,nanomedicine,nanoparticles,peptide major histocompatibility complexes,regulatory t cells,regulatory b cells,transgenic mice,lineage tracing
UNderstanding, descRibing And Visualizing Electronic charge in noveL oxide heteroStructures (UNRAVELS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-05-01
End date: 2017-04-30
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

Charge reorganization at the interface between oxides is the key feature of the emerging field of oxide-based electronics ("oxitronics"). Oxides like perovskites, ferrites, manganites (as SrTiO3, BaTiO3, Fe3O4, BiFeO3, CaMnO3) have become the building blocks for complex heterostructures coupling together at nanoscale different electronic and magnetic properties. Heterostructures can be used to create new outstanding electronic devices to go beyond the traditional silicon-based architectures. To control oxides electro-magnetic properties it's mandatory to completely understand the phenomena taking place at the nanoscale, like charge fluctuation and disproportionation, spin symmetry breaking or local chemical coordination experimentally measured with atomic-resolution and directly connected with the changes in the electronic and optical excitations spectra. This project wants to integrate sophisticated ab initio parameter-free simulations, based on Density Functional Theory and including many body effects, through Many Body Perturbation Theory and Time Dependent Density Functional Theory, with measurements in order to understand and to predict the mechanisms in oxides at nanoscale. These transferable and predictive parameter-free approaches will complement and guide the experiment. The direct comparison of calculated spectra with the experiment will permit to identify the electronic origin of the different excitations, their mutual interactions and their coupling driven by other degrees of freedom. The electronic structure of oxides (charge occupation, bandstructure, bandoffsets) across the metal-insulator transition will be calculated through the correct estimation of dielectric screening function; effect of dopants and strain on oxides and interfaces will be analyzed by calculating electronic and optical spectra. Moreover the side-by-side direct comparison between the calculated spectra and measured observables will permit to refine the theory and its ingredients.

Keywords: oxides heterostructures,oxytronics,phase transitions,many body,ab initio paramter free calculations,tddft