Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
INhomogenieties and fluctuations in quantum CohErent matter Phases by ultrafast optical Tomography (INCEPT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Italy
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-06-01
End date: 2022-11-30
Duration (months): 78.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1350000.0
Participants: 2
Project status: CLOSED

Standard time domain experiments measure the time evolution of the reflected/transmitted mean number of photons in the probe pulses. The evolution of the response of a material is typically averaged over the illuminated area as well as over many pump and probe measurements repeated stroboscopically. The aim of this project is to extend time domain optical spectroscopy beyond mean photon number measurements by performing a full Time Resolved Quantum State Reconstruction (TRQSR) of the probe pulses as a function of the pump and probe delay. The nature of the light matter interaction and the transient light-induced states of matter will be imprinted into the probe quantum state after the interaction with the material and can be uncovered with unprecedented detail with this new approach to time domain studies. TRQSR will be implemented by combining pump and probe experiments resolving single light pulses with balanced homodyne detection quantum tomography in the pulsed regime. We will apply and exploit the unique capabilities of TRQSR to address two different unresolved problems in condensed matter. Firstly, we will investigate the coherent and squeezed nature of low energy photo-induced vibrational states. We will use TRQSR with probe pulses shorter than the phonon timescale to interrogate the time evolution of the vibrational state induced by the pump pulse. Secondly, we will address inhomogeneities in photo-induced phase transformations. With TRQSR we can perform time domain measurements with a very small photon number per pulse which will give information on the interaction between the material (as prepared by the pump pulse) and individual photons. In this limit, TRQSR will allow us to retrieve rich statistics. While the average will deliver the information of a standard pump and probe experiment, higher order moments will give information on the time evolution of spatial inhomogenieties in the transient state.
Innovative, low cost, low weight and safe floating wind technology optimized for deep water wind sites (FLOTANT)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Ireland,Spain,Greece,Croatia,Slovenia,France,France,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Developing solutions to reduce the cost and increase performance of renewable technologies (H2020-LC-SC3-2018-RES-TwoStages, 2018)
Start date: 2019-04-01
End date: 2022-05-31
Duration (months): 38.0
Total project cost (EUR): 4944957.5
EU funding (EUR): 4944957.5
Participants: 17
Project status: CLOSED

Many elements of an offshore wind farm become more expensive as depth increases: mooring, anchoring and dynamic cables are the most obvious. However, deep water areas also pose additional challenges for installation and O&M strategies. FLOTANT project aims to develop an innovative and integrated Floating Offshore Wind solution, optimized for deep waters (100-600m) and to sustain a 10+MW wind turbine generator, composed by: a mooring and anchoring system using high performance polymers and based on Active Heave Compensation to minimise excursions, a hybrid concrete-plastic floater and a power export system with long self-life and low-weight dynamic cables. The project includes enhanced O&M strategies, sensoring, monitoring and the evaluation of the techno-economic, environmental, social and socio-economic impacts. The prototypes of the novel mooring, anchoring and dynamic cable components, and a scaled model of the hybrid offshore wind floating platform will be tested and validated within the scope of the project. Three relevant environments have been selected to perform the tests: MARIN basin for global performance under controlled conditions; the Dynamic Marine Component Test facility (DMaC-UNEXE) for large scale prototypes tests; and PLOCAN Marine Test Site, for the characterisation of novel materials under real seawater conditions. An expected 60% reduction in CAPEX and 55% in the OPEX by 2030 will be motivated by FLOTANT novel developments including additional sectorial reductions due to external technology improvements. Overall FLOTANT solution, will allow an optimisation of LCOE reaching values in the range of 85-95 €/MWh by 2030.

Keywords: offshore wind
International Energy Agency’s World Energy Outlook analysis of the implications of the European Union’s Energy Union on key energy sector indicators. (WEO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: Coordination and support actions
Countries involved: France
Call: Contribution to the World Energy Outlook of the International Energy Agency (H2020-IBA-SC3-IEA-2017, 2017)
Start date: 2018-03-01
End date: 2019-07-31
Duration (months): 17.0
Total project cost (EUR): 600361.25
EU funding (EUR): 500000.0
Participants: 1
Project status: CLOSED

The objective of this project is to analyse quantitatively the impact of the European Union’s (EU) Energy Union and derive lessons for other parts of the world. The analysis will be carried out by the International Energy Agency’s (IEA) World Energy Outlook (WEO) team. A key channel of dissemination for this project will be the inclusion of the analysis of the EU’s Energy Union in relevant sections of the 2018 edition of the IEA’s flagship WEO publication, which will be launched in November 2018. The intended outcome is to increase understanding and raise awareness about the implications the EU’s Energy Union can have on key energy sector indicators, in particular in relation to the Energy Union’s five fundamental dimensions: security, solidarity and trust; a fully integrated internal energy market; energy efficiency and moderation of demand; decarbonisation of economy; research, innovation and competitiveness. The insights from the proposed analysis are intended to stimulate policy discussion at both the EU level and in Member States themselves, but are also expected to contribute to the international energy and climate change debate. Addressing the energy-climate nexus with more secure, affordable, competitive and sustainable energy, in a coordinated and integrated way, is at the heart of both the IEA’s WEO series and the EU’s Energy Union. The IEA is particularly well placed to address this topic in the WEO considering the publication is renowned globally for its capacity and aptitude in regards to in-depth scenario based modelling of energy and climate change, including detailed analysis of the European Union energy market.

Keywords: energy projections,energy indicators,energy union,energy policy,energy security,integration,energy efficiency,investment,sustainable development,renewable energy,competitiveness,technology
ALgorithms EXposed. Investigating Automated Personalization and Filtering for Research and Activism (ALEX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Netherlands
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2018-12-01
End date: 2020-02-29
Duration (months): 15.0
Total project cost (EUR): 149922.0
EU funding (EUR): 149922.0
Participants: 1
Project status: CLOSED

Personalization algorithms—filtering content on the basis of someone's profile—increasingly mediate the web experience of users. By forging a specific reality for each individual, they silently shape customized 'information diets': in other words, they determine which news, opinions and rumors users are exposed to. Restricting users’ possibilities, they ultimately infringe on their agency. As exposed by the recent Cambridge Analytica scandal, they are supported by questionable data sharing practices at the core of the business models of the social media industry. Yet, personalization algorithms are proprietary and thus remain inaccessible to end users. The few experiments auditing these algorithms rely on data provided by platform companies themselves. They are highly technical, hardly scalable, and fail to put social media users in the driver seat. The ALgorithms EXposed (ALEX) project aims at unmasking the functioning of personalization algorithms on social media platforms, taking Facebook as a test case. It is 'data activism' in practice, as it uses publicly available data for awareness raising and citizen empowerment. ALEX will pursue five goals: 1) software development and stabilization, building on the alpha version of facebook.tracking.exposed (fbtrex), a working prototype of a browser extension analyzing the outcomes of Facebook's News Feed algorithms; 2) the release of two spin-off products building on fbtrex, namely AudIT, enabling researchers to do expert analysis on algorithmic biases, and RealityCheck, allowing users to monitor their own social media consumption patterns; 3) testing the technical feasibility of adapting the ALEX approach to analyze algorithmic personalization on other platforms such as Twitter and Google; 4) the design and organization of data literacy modules on algorithmic personalization, and 5) the launch of a consultancy service to promote tool take-up and the future sustainability of the project.

Keywords: personalization algorithms,social media platforms,filter bubble,data activism,data literacy,data ethics,citizen agency,user empowerment,open source software,software development
Statistical physics of immune-viral co-evolution (STRUGGLE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: France
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-11-01
End date: 2023-10-31
Duration (months): 72.0
Total project cost (EUR): 1909750.0
EU funding (EUR): 1909750.0
Participants: 1
Project status: SIGNED

The immune system within each individual host destroys viruses, which manage to escape immunity on the global scale. Recent experiments show population-level responses of both immune repertoires and viruses, and a history dependence of their functional phenotypes. This constrained long-term co-evolution of immune receptor and viral populations is a stochastic many-body problem occurring at many scales, in which the response emerges based on the past states of both the repertoire and viral populations. STRUGGLE infers the details of viral-immune receptor interactions from functional datasets to obtain a predictive statistical model of co-evolution between immune repertoires and viruses. STRUGGLE covers the many scales of immune-virus interactions: from the molecular level, analyzing high-throughput mutational screens of libraries of antibodies binding a given antigen, through the population-level response of immune repertoires, analyzing next-generation sequencing of vaccine-stimulated whole repertoires, to the population level, modeling the long term co-evolution of both repertoires and viruses. STRUGGLE combines a statistical data analysis approach with cross-scale many-body physics to: - build a molecular model for antigen-receptor binding; - learn statistical models for repertoire-level response to viral antigen stimulation; - validate dynamical models of interactions between antigen and immune receptors; - theoretically evaluate the predictive power of the immune system and viruses; - and predict virus strains and immune responses based on past infections. The outcomes of STRUGGLE include the quantitative characterization of the human T-cell response to flu vaccines, with implications for vaccination strategies, and the trout B-cell response to life-threatening rhabdoviruses, which aids vaccine design for fish, with wide use in agriculture. The statistical properties of the co-evolutionary process are needed for informed development of immunotherapies.

Keywords: statistical biophysics,evolution,statistical inference,nonlinear dynamical models
A Scientific Approach to Innovation Management (SAIM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Italy
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1978213.0
EU funding (EUR): 1978213.0
Participants: 1
Project status: SIGNED

There is strong evidence that managers and entrepreneurs have poor methods to make decisions under uncertainty. This is a serious problem that discourages innovation and the success of many start-ups. At the aggregate level it sties economic growth and the returns from many public and private incentives to innovation or entrepreneurship. This project studies whether managers and entrepreneurs can improve their ability to make these decisions by adopting a scientic approach based on the formulation of models tested with data, such as scientists do. The project develops a framework that explains the mechanisms and implications of this approach, and tests them through a large-scale RCT in six international sites. The framework shows that a scientic approach improves performance by pursuing valuable innovations and by terminating unsuccessful projects earlier. It also helps decision-makers to interpret signals: in particular, they understand better how to change a project in response to negative signals. The RCT tests mechanisms and performance of the scientic approach against current practice in innovation management, and its coverage ensures a good assessment of its validity across contexts and conditions. The results of this RCT are potentially ground-breaking because they can: (i) change the way we think innovation management and entrepreneurship; (ii) encourage the practical application of many economic and managerial theories ignored by managers or entrepreneurs in spite of their practical prescriptions; (iii) help to rethink the curricula of business schools by making a scientic approach to management more prominent and by revamping the application of economic and managerial theories; (iv) improve the mentorship of the many public and private initiatives that support innovation and entrepreneurship worldwide.

Keywords: management strategies,emergent strategies,scientific approach,business experimentation,entrepreneurial strategies,innovation
Global systems Rapid Assessment tools through Constraint FUnctional Languages (GRACeFUL)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Belgium,Sweden,France,Netherlands,Netherlands
Call: Global Systems Science (GSS) (H2020-FETPROACT-2014, 2014)
Start date: 2015-02-01
End date: 2018-01-31
Duration (months): 36.0
Total project cost (EUR): 2404943.75
EU funding (EUR): 2404943.0
Participants: 8
Project status: CLOSED

The making of policies coping with Global Systems is a process that necessarily involves stakeholders from diverse disciplines, each with their own interests, constraints and objectives. People play a central role in such collective decision making and the quest for solutions to a problem generally intertwines its very specification. Simulators can assist in this process provided they employ adequate high-level modelling to separate the political question from the underlying scientific details. Domain-specific Languages (DSL) embedded in Functional Programming (FP) languages offer a promising way to implement scalable and verifiable simulators. But the use of simulators is essentially a trial-and-error process too tedious for execution in a group session. A paradigm shift is needed towards active problem solving where stakeholders’ objectives can be taken along from the very beginning. Constraint Programming (CP) has demonstrated to enable such a shift for e.g. managed physical systems like water and power networks. This project lays the base for a DSL aimed at building scalable Rapid Assessment Tools for collective policy making in global systems. This can be achieved through foundational scientific work at different levels: from the high-level, political modelling, adapting the social discipline of Group Model Building (as used in business organizations), through visual forms of CP as well as gamification aspects, down to the needs for a host language, combining CP and FP. Special emphasis is put on domain-specific constraints, constraint composition, and composable solvers and heuristics. Results are applied and validated for the problem case of Climate-Resilient Urban Design, but the ambition is a general framework applicable to many other systems. The case study is assessed by an external multi-disciplinary Advisory Board of Stakeholders that guides the specification process and evaluates needs and usability of the tools.

Keywords: global systems science,problem solving,collective policy making,rapid assessment tools,constraint programming,functional programming,climate resilient urban design,group model building
Biological Determinants of ILC Reactivity for Immune Responses in Health and Disease (ILC_REACTIVITY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: France
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-08-01
End date: 2022-07-31
Duration (months): 72.0
Total project cost (EUR): 1899375.0
EU funding (EUR): 1899375.0
Participants: 1
Project status: CLOSED

Innate lymphoid cells (ILC) are a newly described family of hematopoietic cells that lack antigen-specific receptors but can be activated to promptly produce large amounts of cytokines (including interleukin (IL)-5, -13, -17A, -22, TNF-α and interferon-γ) and thereby contribute to the immediate, first-line immune defense against viral, bacterial, and parasitic infections. ILCs include the previously described natural killer (NK) cells and have a similar 'natural' effector function which is immediately available during immune responses and prior to that of adaptive immunity. Three groups of ILC (ILC1, ILC2, ILC3) have been described that share biological activities of T helper (Th)1, Th2 and Th17/22 subsets and CTL. ILCs are active during both fetal and adult life and play important roles in the homeostasis of mucosal and non-mucosal tissues. Nevertheless, how ILCs are integrated into ongoing immune responses remains unclear and this knowledge is a prerequisite for harnessing the clinical potential of these immune effector cells. This proposal will investigate critical checkpoints that can regulate ILC reactivity for immune responses in humans and mice. The four proposed objectives will be addressed using a combination of cutting-edge technologies including innovative mouse models that can report on ILC biology in vivo, single cell transcriptional and functional analysis of diverse circulating and tissue human and mouse ILC subsets, ‘digital’ pathogen-dependent ILC activation approaches and computational analysis of large immunological datasets from healthy, normal human individuals. Collectively, these complementary studies will shed new light on the biological determinants which condition ILC reactivity in humans and mice. Understanding how the threshold of ILC responsiveness is set prior to and during immune responses will have important implications for disease intervention.
Advanced Manufacturing Ecosystem improvement (AIM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Germany,Austria,Italy
Call: Peer learning of innovation agencies (H2020-INNOSUP-05-2016-2017, 2017)
Start date: 2017-10-01
End date: 2018-12-31
Duration (months): 15.0
Total project cost (EUR): 50000.0
EU funding (EUR): 50000.0
Participants: 3
Project status: CLOSED

Industry foresight for next 10 years are highlighting how the global economy will be fully globalized and competition for markets will become fiercer. New industrial players from emerging and newly emerged industrial economies will fight for market share with multi-nationals and companies from traditionally industrialized countries, including the EU. This will drive companies seeking for innovation to develop a competitive edge for new products and services, and to adopt operations that are more efficient. Europe is a global leader in supplying advanced manufacturing technologies, however notwithstanding the relevant investment in R&D to develop such technologies, the effective uptake is still weak and European companies are lagging behind in comparison to global competitors regarding demand and use of them. Despite the benefits AMTs offer, the majority of manufacturing SMEs in the EU are not yet using these technologies. One of the key obstacles to AMT adoption is represented by the general weakness of the support system supplying with adequate capacities in all areas of advanced manufacturing sector. The overall project objective of the project is to improve the Advanced Manufacturing Ecosystem for European SMEs by reinforcing the innovation infrastructures that should provide support to manufacturing SME. The aim is thus to collaboratively address a common innovation support challenge consisting in providing adequate support to SMEs in the adoption of AMT. The Peer Learning activity is expected to collect and identify a wide range of services that Innovation intermediary agencies may provide to SMEs to stimulate their transformation through the AMT uptake. The expected Design Options Paper will serve as a “guide” or a “handbook” to other agencies and business support centers to provide more focused support services and to set up “Regional Innovation Hubs” to improve a suitable ecosystem fostering AMT uptake.

Keywords: advanced manufacturing,innovation,ecosystem