Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Processing Citizenship: Digital registration of migrants as co-production of citizens, territory and Europe (ProcessCitizenship)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Italy,Netherlands
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-03-01
End date: 2023-08-31
Duration (months): 78.0
Total project cost (EUR): 1498613.75
EU funding (EUR): 804522.5
Participants: 2
Project status: SIGNED

Intensifying migration waves are changing EU policies―with Hotspots being set up in frontline countries―but also the way knowledge about migrants, institutions and territory is created. Information systems are key enablers of this knowledge. They materialize legislative, political, administrative dynamics in which citizenship, state and territory are co-produced. ProcessingCitizenship aims to establish information systems as “interfaces” that make visible changes in the modern nation state. It aims to develop a history of the present that accounts for contemporary materially-embedded practices of registration of migrants at Hotspots as activities of governance formation. It addresses three research questions: How are migrants’ identities shaped in information systems-mediated registration practices, and how do migrants adapt or resist it? How are Member States and Europe re-enacted by data infrastructures for migration processing? How is territory reshaped? The project combines globalization and border studies and surveillance studies in IT and migration with a materialist performative approach derived from science and technology studies and media geography. It analyses information systems, registration practices, data architectures and territorial patterns. Data will be collected via qualitative (script analysis, interviews, participant observation, discourse analysis) and computational (analysis of ontologies and algorithms, new method for web services tracking) techniques. The research is ground-breaking in three ways: 1) by focusing on alienage and on the technicalities of data infrastructures, it sets the basis for detecting incipient changes in the order of authority; 2)it develops brand new software methods for web services analysis that is expected to set a new promising field of techno-sociological research; 3)by combining contiguous disciplines rarely interacting, it amplifies their ability to understand the co-production of technology, society, knowledge.

Keywords: information systems,information infrastructures,data infrastructures,nation state,citizenship,territory,migration,alienage,performativity,materiality,topological principles
Understanding long-range transcriptional regulation in the context of the 3D genome organization (3DQuant)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-03-01
End date: 2019-02-28
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

Enhancers are regulatory elements that control the spatial and temporal expression of genes in metazoans. Enhancers are able to modulate transcription of a target gene from large genomic distances, as a result of the formation of chromatin loops that bring them in close spatial proximity to cognate promoters. The manner how specific patterns of enhancer-promoter physical interactions are established is linked to how chromosomes are folded in the three-dimensional (3D) space. Recent studies based on chromosome conformation capture (3C) have shown that mammalian chromosomes are partitioned into self-associating sub-megabase domains called Topologically Associating Domains (TADs). Genetic evidence suggests that 3D chromatin organization within and across TADs contributes to the establishment and partitioning of enhancers-promoters physical communication. Yet it is still unknown by which biophysical mechanisms chromosome architecture modulates enhancer action, and thus transcription. The goal of this proposal is to determine the quantitative relationship between 3D chromatin architecture and enhancer-promoter activity to unravel the mechanism of long-range transcriptional modulation mediated by enhancers. Addressing this goal requires a system where transcriptional outputs can be measured precisely and quantitatively, and correlated with 3D distances. To this aim, we will use state-of-the art genome engineering techniques to generate mouse embryonic stem cells with engineered enhancer-promoter pairs in an isolated chromatin environment, where a selected enhancer can be mobilized at different distances from its cognate promoter. We will use this system to quantitatively assess how 3D chromatin structure influences enhancer action by measuring transcription and promoter-enhancer interactions using 3C-based technologies, single-cell methods and live-cell imaging. This will lead to an unprecedented view of the mechanisms underlying long-range transcriptional regulation.
Decoding the host-pathogen interspecies crosstalk at a multiparametric single-cell level (DecodingInfection)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Israel
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2017-10-01
End date: 2023-03-31
Duration (months): 66.0
Total project cost (EUR): 1499999.0
EU funding (EUR): 1499999.0
Participants: 1
Project status: CLOSED

Bacterial pathogens remain a significant threat to global health, necessitating a better understanding of host-pathogen biology. While various evidence point to early infection as a key event in the eventual progression to disease, our recent preliminary data show that during this stage, highly adaptable and dynamic host cells and bacteria engage in complex, diverse interactions that contribute to well-documented heterogeneous outcomes of infection. However, current methodologies rely on measurements of bulk populations, thereby overlooking this diversity that can trigger different outcomes. This application focuses on understanding heterogeneity during the first stages of infection in order to reduce the complexity of these interactions into informative readouts of population physiology and predictors of infection outcome. We will apply multiparametric single-cell analysis to obtain an accurate and complete description of infection with the enteric intracellular pathogen Salmonella of macrophages in vitro, and in early stages of mice colonization. We will characterize the molecular details that underlie distinct infection outcomes of individual encounters, to reconstruct the repertoire of host and pathogen strategies that prevail at critical stages of early infection. We propose the following three objectives: (1) Develop methodologies to simultaneously profile host and pathogen transcriptional changes on a single cell level; 2) Characterizing the molecular details that underlie the formation of subpopulations during macrophage infection; and (3) Determine how host and pathogen encounters in vivo result in emergence of specialized subpopulations, recruitment of immune cells and pathogen dissemination. We anticipate that this work will fundamentally shift our paradigms of infectious disease pathogenesis and lay the groundwork for the development of a new generation of therapeutic agents targeting the specific host-pathogen interactions ultimately driving disease.

Keywords: host pathogen interactions
Novel 1D photonic metal oxide nanostructures for early stage cancer detection (CanBioSe)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Italy,Ukraine,Estonia,Italy,Lithuania,Poland,Belarus,Lithuania,Poland,Latvia,Latvia,France,Czechia
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 1116000.0
EU funding (EUR): 1116000.0
Participants: 15
Project status: SIGNED

The project CanBioSe targeted to strengthen international and intersectoral collaboration, sharing new ideas and knowledge transfer from research to market and vice versa in the field of nanostructured metal oxide optical biosensors for cancer cells detection. Interdisciplinary project research and innovation goals are targeted to develop a new portable tool for early stage cancer detection which can solve on of important health challenges in EU society. One dimensional (1D) polimer nanofibers will be deposited by electrospinning technique. Photonic nanomaterials, based on metal oxide based nanostructures (ZnO, ZnO/Al2O3 nanolaminates, Au/ZnO and ZnO/Au) will coat the 1D nanofibers. Metal oxides and Au nanoparticles will be deposited with Atomic Layer Deposition (ALD) and electrophoresis, respectively. Bioselective layer will be formed by immobilization of specific antibodies on the biosensor surface. Photoluminescence and optical spectroscopy will be used for recording of the biosensor signal. Biosensor testing will be performed on cancer cells (human chronic lymphocyte leukemia (CLL) leucosis and acute lymphoblastic leucosis). The biosensor will be integrated with microfluidic system in order to minimize dimensions and simplify the use of the detection system. The project partners will provide research and training activities in the fields of nanotechnology, surface functionalization, bioengineering, microfluidics and biosensor testing, market analysis and commercialization. Provided research and management training to experienced researchers and early stage researchers will strengthen their personal skills and CVs via new scientific papers and conference theses and strengthen a development of EU research human resources. Long lasting collaboration between partners, based on co-supervising students and preparation of novel collaborative project proposals is foreseen. Dissemination of the project results to scientific society and wide auditories is foreseen.

Keywords: 1d metal oxide,electrospinning,optical methods,cancer cells detection
Provably Efficient Algorithms for Large-Scale Reinforcement Learning (SCALER)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 1493990.0
EU funding (EUR): 1493990.0
Participants: 1
Project status: SIGNED

Reinforcement learning (RL) is an intensely studied subfield of machine learning concerned with sequential decision-making problems where a learning agent interacts with an unknown reactive environment while attempting to maximize its rewards. In recent years, RL methods have gained significant popularity due to being the key technique behind some spectacular breakthroughs of artificial intelligence (AI) research, which renewed interest in applying such techniques to challenging real-world problems like control of autonomous vehicles or smart energy grids. While the RL framework is clearly suitable to address such problems, the applicability of the current generation of RL algorithms is limited by a lack of formal performance guarantees and a very low sample efficiency. This project proposes to address this problem and advance the state of the art in RL by developing a new generation of provably efficient and scalable algorithms. Our approach is based on identifying various structural assumptions for Markov decision processes (MDPs, the main modeling tool used in RL) that enable computationally and statistically efficient learning. Specifically, we will focus on MDP structures induced by various approximation schemes including value-function approximation and relaxations of the linear-program formulation of optimal control in MDPs. Based on this view, we aim to develop a variety of new tools for designing and analyzing RL algorithms, and achieve a deep understanding of fundamental performance limits in structured MDPs. While our main focus will be on rigorous theoretical analysis of algorithms, most of our objectives are inspired by practical concerns, particularly by the question of scalability. As a result, we expect that our proposed research will have significant impact on both the theory and practice of reinforcement learning, bringing RL methods significantly closer to practical applicability.

Keywords: reinforcement learning,markov decision processes,learning theory
POLE EUROPE ENTREPRISE INNOVATION (MARTINIQUE ET ILES DE GUADELOUPE) (PEEI - H2020 SGA4)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: France,France
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 75238.76
EU funding (EUR): 60191.0
Participants: 3
Project status: CLOSED

Since 2008, Chambers of Commerce and Industry (CCI) of Martinique and Guadeloupe Islands have been involved in the EEN (Enterprise Europe Network). Along with EEN, to foster CCI Martinique and CCI Guadeloupe Islands have been developing a set of services customized for the specific needs of the local enterprises to support their creation, development, sustainable development, international development or the enhancement of their competiveness with ICT and innovation. Over this period, the French Antilles territory has also been strongly developing the innovation support services mainly carried by the dedicated structure Technopole Martinique. Today, to pursue and reinforce this momentum for Antilles’ growth, these players decided to meet within the PEEI (Pôle Europe Entreprise Innovation Antilles) consortium to carry out the EEN missions over the 2020-2021period in the French Antilles. Initiated and led by CCI Martinique largely involved in this new dynamic to foster the development of local SMEs, PEEI gathers and capitalises the unique competences of the CCI Martinique and Guadeloupe Islands, which are the best interlocutors to relay EU policies and programmes and provide one stop shop for all the business needs of the local enterprises, and the expertise of the Technopole Martinique in innovation support services. Over the 2020-2021period, PEEI will provide growth-oriented, integrated business and innovation support services, promote EU policies and programmes and provide a communication channel between local SMEs and EU policy making. It will also facilitate access to European and international markets for local SMEs and improve the environment for entrepreneurial activities. The enclosed strategy implementation plan and work plan detail the PEEI proposed activities over the 2020-2021 period. With the Technopole Martinique competences, PEEI will also provide innovation support activities in the H2020 framework.

Keywords: network,innovation,international development,partnership,network activities promotion,coaching,mentoring,advice,information,sme feedback,eu single information desk,dedicated support
Flagship demonstration of an integrated biorefinery for dry crops sustainable exploitation towards biobased materials production (FIRST2RUN)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Innovation actions
Partnership: BBI (Art-187)
Countries involved: Italy,Italy,Italy,Italy,Slovakia,Netherlands,United Kingdom,United Kingdom
Call: Added value products from underutilised agricultural resources (H2020-BBI-PPP-2014-1, 2014)
Start date: 2015-07-01
End date: 2019-06-30
Duration (months): 48.0
Total project cost (EUR): 25022688.75
EU funding (EUR): 16995882.0
Participants: 9
Project status: CLOSED

FIRST2RUN project aims at demonstrating (TRL8) the techno, economical and environmental sustainability at industrial scale of a first-of-kind value chain where low input and underutilized oil crops (i.e. cardoon) grown in arid and/or marginal lands and not in competition with food or feed, are exploited for the extraction of vegetable oils to be further converted through chemical and biotechnological processes into bio-monomers (mainly pelargonic and azelaic acids) and esters that will be applied in the formulation of bioproducts (biolubricants, cosmetics, bioplastics). By and co-products from the process will be valorised both for energy, feed for animals and added value chemicals productions in order to increase the sustainability of the value chain. Standardization, certification and dissemination activities will support the project in relation to increased marketability as well as social acceptability of developed biobased products in view of their penetration in the market.

Keywords: cardoon,crop,third generation biorefinery,enzymatic esterification,seed panel,vegetable oil,pelargonic acid,azelaic acid,glycerol,cosmetics,biolubricants,lignocellulosic residues
The polyphosphate/factor-XII pathway in cancer-driven thrombosis and tumor growth (PolyP-FXII in cancer)

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: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: TERMINATED

Cancer is a leading cause of venous thrombosis. Tumor-driven procoagulant mechanisms and therapies for interference with cancer-associated thrombosis are poorly developed and are associated with life-threatening bleeding complications. Coagulation factor XII is a protease that is essential for thrombus formation while being dispensable for hemostatic processes that terminate blood loss. Challenging the dogma of a coagulation balance, targeting factor XII protects from thromboembolic disease without interfering with hemostasis. The inorganic polymer polyphosphate activates factor XII with implications for thrombosis. In addition to their roles in coagulation, polyphosphate and factor XII have mitogenic activities and contribute to cell proliferation. I have recently characterized the mechanisms of polyphosphate-driven coagulation and discovered a critical function of polyphosphate/factor XII in prostate cancer-driven thrombosis. The current investigations will explore functions and mechanisms of polyphosphate/factor XII for cancer-driven coagulation and tumor growth using cancer cells in culture, genetically altered murine models and cancer patient materials. I aim to understand activation, regulation and functions of the polyphosphate/factor XII-pathway for venous thromboembolic disease as well as tumor growth. In a translational approach, I will analyze novel polyphosphate/factor XII-inhibitors for interference with cancer-driven thrombosis and tumor proliferation. The applied project will give a comprehensive insight into the function of polyphosphate/factor XII in malignancy and will offer a novel and unique opportunity for a safe anticoagulation therapy with minimal or no bleeding risk with additional anti-cancer activities.

Keywords: vascular biology,blood coagulation,thrombosis,plasma contact system,factor xii,polyphosphate,cancer
THE EXERGYN DRIVE™ – AN ENGINE THAT RUNS ON HOT WATER (The Exergyn Drive)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Ireland
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-2-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 3547219.0
EU funding (EUR): 2483053.0
Participants: 1
Project status: CLOSED

Low-grade waste heat (“LGWH”) is defined herein as being water of <120ºC, usually 80º-95ºC. Most power producers are making no use of their LGWH. The amount of waste heat produced worldwide every year is equivalent to 12 years of electricity consumption in the EU. There is currently no commercial solution to the LGWH problem. A commercial solution could have a global market of €440+ billion & reduce CO2 emissions by 700 million tonnes p.a. (c.2% decrease on 2014 levels). Up to 5,400 direct & indirect jobs could be created across Europe, and Europe’s energy security could be improved, as a result. Exergyn, has developed a patented engine that runs on hot water (the “Exergyn Drive™”). It converts LGWH to mechanical or electrical power using nitinol. Exergyn is at TRL 6, having spent 3+ years and €1.4m+ in cash to reach this point. This project will allow Exergyn to reach TRL9 and to be : 1. Ready to sell up to 35 x 10kW Exergyn Drives™ per month 2. Ready to produce 35 x 10kW Exergyn Drives™ per month 3. Internationally protected against competitors (via its IP portfolio) Exergyn’s vision is to meaningfully reduce global carbon emissions via the profitable mass-deployment of its innovations. This project is thus perfectly aligned with the company’s strategy. The Exergyn Drive™ converts the radiator heat from power plants into power. It is a highly disruptive technology. It can be produced at low-cost and can be sold profitably to a mass-market on a compelling commercial basis (3-year payback). Exergyn has spent 2+-man years researching its initial market – with 7,000+ biogas sites mapped across Europe. UK biogas is the initial target market because their plant runs 24/7, makes no use of its LGWH, and receives high feed-in tariffs for its electricity. The closest competitor-technology (ORC) is mature technology and is not considered to be a commercial solution by players in the market Exergyn has a very strong commercial, technical and financial team.

Keywords: energy,energy independence,power,low grade waste heat,co2 reduction,co2 emissions,climate change,disruptive,jobs,global market,low cost,biogas,engine that runs on hot water