Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Towards SUstainable and REsilient EU FARMing systems (SURE-Farm)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Germany,Switzerland,Norway,Belgium,Bulgaria,Sweden,Belgium,Poland,Romania,France,Netherlands,United Kingdom,United Kingdom
Call: Farming for tomorrow - developing an enabling environment for resilient and sustainable agricultural systems (H2020-SFS-2016-2, 2016)
Start date: 2017-06-01
End date: 2021-05-31
Duration (months): 48.0
Total project cost (EUR): 4875616.25
EU funding (EUR): 4875616.25
Participants: 16
Project status: CLOSED

Resilience and sustainability of Europe’s farming systems can no longer be taken for granted, as the sectors’ economic, social and ecological environment becomes more complex and volatile. Using resilience thinking, SURE-Farm develops a comprehensive resilience enabling framework, develops and applies resilience assessment tools and co-creates implementation roadmaps. Its objectives are to: measure the determinants of resilience; improve farmers’ risk-related decisions and management; assess farm demographic changes and their links to labour markets; evaluate the current policy framework and develop resilience enhancing policy options; make integrated long-term projections of farming system resilience; and identify pathways to implement a resilience enhancing environment. These objectives are achieved by developing scenarios of stressors, analysing farmers’ risk perceptions and behaviours, developing improved risk management tools tailored to specific challenges in the range of EU farming systems, creating a farm demography assessment tool informed by agent-based modelling that measures dimensions and dynamics of farm structures, creating a novel policy resilience assessment tool to assess strengths and weaknesses of existing CAP and other policies and their national transpositions, and building an integrated impact assessment model to make projections towards sustainable future delivery of private and public goods by farming systems across the EU. In co-creation with stakeholders, outcomes of these assessments are synthesised to support an enabling environment and to co-design implementation roadmaps. SURE-Farm thereby provides a thorough analysis of the complex challenges to Europe’s agricultural sector and an assessment of relevant policies, building on long-term projections and integrated modelling. By designing novel risk-management tools for farmers, measures to facilitate entry to the sector and validated roadmaps it supports the sector’s resilience.

Keywords: resilience assessment,sustainable agriculture,resilience enhancing strategies,farm demographics,new entrants,family and corporate farms,projections,delivery of private and public goods
Hyper Quantum Criticality (HyperQC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-12-01
End date: 2021-11-30
Duration (months): 60.0
Total project cost (EUR): 2328648.75
EU funding (EUR): 2328648.75
Participants: 1
Project status: CLOSED

Hyper Quantum Criticality – HyperQC is a major initiative with the aim of generating and controlling novel phases of correlated magnetic quantum matter, and of exploring them in high-precision experiments. A combination of new capabilities enabled by the development of instrumentation, pioneering ultra-fast studies and experiments on magnetic model materials will allow both the exploration of fundamental Hamiltonians and fully quantitative tests of quantum criticality in hyper-parameter space: temperature, magnetic field, pressure, energy, momentum and time. HyperQC - Challenge. Direct control of the dimensionality, symmetry, chemical potential and interactions in magnetic materials is achieved by a new experimental set-up combining high magnetic fields and pressures with ultra-low temperatures, which will be installed on neutron scattering instruments at the Swiss Spallation Neutron Source SINQ. Experiments on a number of magnetic model materials allow the realization and high-precision measurements of the multi-dimensional quantum critical properties of systems including magnon Bose-Einstein Condensates, spin Luttinger liquids and renormalized classical ordered phases, as well as of other many-body phenomena in quantum spin systems. HyperQC – Vision. Experiments on the time-dependent, non-equilibrium properties of quantum magnets and quantum critical points are new. Ultra-short laser and X-ray pulses are able to alter and measure the lattice, spin, orbital and electronic properties of solids, which has been demonstrated in recent experiments on multiferroic materials and superconductors. The effects of such pulses on a number of well-characterized model quantum magnets will be investigated with the aim of studying the time-dependent dynamics of quantum critical systems for the first time.

Keywords: magnetism,quantum criticality,spectroscopy
Safe and Prelithiated hIgh energy DEnsity batteries based on sulphur Rocksalt and silicon chemistries (SPIDER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Austria,Germany,Germany,Spain,Italy,Germany,Norway,Belgium,Greece,France,France,France,France,Luxembourg
Call: Materials for future highly performant electrified vehicle batteries (RIA) (H2020-NMBP-ST-IND-2018, 2018)
Start date: 2019-01-01
End date: 2022-08-31
Duration (months): 44.0
Total project cost (EUR): 7975192.5
EU funding (EUR): 7975192.5
Participants: 17
Project status: SIGNED

Knowledge-based improvements of Li-ion battery cost, performance, recyclabiKnowledge-based improvements of Li-ion battery cost, performance, recyclability and safety are needed to enable electric vehicles to rapidly gain market share and reduce CO2 emissions. SPIDER’s advanced, low-cost (75 €/kWh by 2030) battery technology is predicted to bring energy density to ~ 450 Wh/kg by 2030 and power density to 800 W/kg. It operates at a lower, and thus safer, voltage, which enables the use of novel, highly conductive and intrinsically safe liquid electrolytes. Safety concerns will be further eliminated (or strongly reduced), as thermal energy dissipation will be reduced to 4 kW/kg, and thermal runaway temperature increased to over 200°C. Moreover, SPIDER overcomes one of the main Li-ion ageing mechanisms for silicon based anodes: notably, the loss of cyclable lithium, which should increase lifetime to 2000 cycles by 2022 for first life applications with further usefulness up to 5000 cycles in second life (stationary energy storage). In addition, SPIDER’s classic cell manufacturing process with liquid electrolyte will be readily transferable to industry, unlike solid electrolyte designs, which still require the development of complex manufacturing processes. Finally, SPIDER batteries will be designed to be 60% recyclable by weight, and a dedicated recycling process will be developed and evaluated during SPIDER. In addition, SPIDER materials significantly reduce the use of critical raw materials. Finally, four SPIDER partners are identified by the European Battery Alliance as central and strategic for the creation of the needed European battery value chain: SGL, NANO, VMI & SOLVAY. In conclusion, SPIDER proposes a real breakthrough in battery chemistry that can be readily adopted within a sustainable, circular economy by a competitive, European battery value chain to avoid foreign market dependence and to capture the emerging 250 billion € battery market in Europe.

Keywords: sulfur rocksalt,silicon,carbon composites,prelithiation process,high energy density li ion battery,safe liquid electrolytes
ONCOlogic patient profiling and personalized treatment through SMART bedside diagnostics (ONCOSMART)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-09-01
End date: 2021-08-31
Duration (months): 36.0
Total project cost (EUR): 3348500.0
EU funding (EUR): 2343950.0
Participants: 1
Project status: CLOSED

ONCOSMART is the first In-Vitro Diagnostic (IVD) system that determines the effectiveness of anticancer drugs for a specific patient, testing live cell response to one or multiple cancer drugs. ONCOSMART analyses bone marrow or blood samples from a specific cancer patient, providing the results within 24-48 hours. This “functional profiling” approach has shown superior performance in non-automated systems to current molecular/genomic methods in predicting individual patient’s response to anticancer treatments. ONCOSMART is a fully-automated and standardised functional profiling platform that is made available to doctors and researchers to identify the most suitable cancer therapy for individual patients and also aid patient selection in clinical trials. The innovative platform analyses the interactions between anticancer drugs and live tumor cells contained in 2 mL of blood or bone marrow samples. Cellply has freedom to operate and protected ONCOSMART with 2 patent families issued in EU, US and China, 1 issued in EU, 1 pending PCT application, 2 pending Italian applications. Additional value is captured by 4 patent applications to be submitted in 2018-2019. ONCOSMART can test anticancer drugs including targeted, chemo and immunotherapies alone or in combination. The test results guide the selection of: 1) the appropriate therapy for a specific patient; 2) cancer patients for specific clinical studies; 3) cancer patients for novel therapies in clinical development. The platform has been fully-engineered and tested on leukemia patients (AML), proving its predictive power, and is extended to other hematologic and solid tumors in future developments. Within this project, CellPly has the goal to industrialise the platform, validate its analytical and clinical performance and support the first commercialisation activities releasing the platform for research first, then for clinical use.

Keywords: technologies involving the manipulation of cells and tissues,disease control,clinical trials,personalised medicine,ex vivo cell response,cell response,cancer treatment,microfluidic,lab on chip
aluminium Portable Element Analyzer (PEA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Iceland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-07-01
End date: 2020-06-30
Duration (months): 24.0
Total project cost (EUR): 2007812.5
EU funding (EUR): 1405468.75
Participants: 1
Project status: CLOSED

Founded in 2013 in Reykjavík (Iceland), our company DTE is an innovation-driven European SME dedicated to the development oFounded in 2013 in Reykjavík (Iceland), our company DTE is an innovation-driven European SME dedicated to the development of high technology equipment and systems for process and quality control in the aluminium industry. We have maximized the synergy between our team of experts and the aluminium sector through close cooperation with end users – global producers of primary aluminium Century Aluminum, Alcoa and Rio Tinto – and strategic collaboration with the research and engineering community – such as Reykjavik University and the Innovation Center Iceland. To sustainably grow, we are committed in redefining problems to opportunities and providing creative solutions to our customers by thinking outside the box. Our philosophy: safe, reliable and high performance equipment that meets the customer's demand. Our project, PEA, is based on the industrialization and commercialization of the next generation of process analytical instrumentation: Capable to perform in-line real-time chemical analyses of molten aluminium and cryolite with optimum accuracy and repeatability, PEA allows to precisely adjust the process parameters to their optimal limits. Our plan is to offer our PEA systems to primary and secondary aluminium producers, who are constantly seeking solutions regarding process efficiency, operating costs, worker safety and environmental impact. Our revolutionary technology is set to change the entire industry, as it addresses the current limitations of a process known to be extremely energy intensive. Furthermore, while leading to long-term profitability for our customers, with potential yearly savings of €13.6 per produced ton of aluminium, our consolidated business plan indicates that we will lease and sell 84 system units from 2020-2025, generating €20.69 million of accumulated profit and creating 21-23 full-time positions in our company.

Keywords: aluminium,molten aluminium,cryolite,smelter,light metal,process,efficiency,emissions,pfcs,fluoride,sample analysis,chemical analysis,real time,potroom,spectroscopy,libs
Social exclusion as an acute psychosocial stressor in schizophrenia: impact on pathophysiology and social cognition (SimpSoCoS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2025-02-28
Duration (months): 36.0
Total project cost (EUR): 259398.72
EU funding (EUR): 259398.72
Participants: 1
Project status: SIGNED

The main goal of SimpSoCoS is to explore how personal reactivity to social stress impacts on the pathophysiology of social cognition (SC) in schizophrenia (SZ). The drive: to open avenues for novel therapies by reducing the knowledge gap among the social context, the biological damage and the SZ clinical expression. SZ is a severe, highly stigmatised mental disorder conferring a vast economic burden. In Europe, the incidence of SZ is 15/100,000 persons and the morbidity risk, 7/1000. SC allows people to understand the social world. Thus, deficits in SC deeply limit functional recovery within SZ patients, causing severe socio-occupational disability. Yet, treatment efficacy on SC functioning is modest and a broad understanding of how daily life events influence SC dysfunction is missing. Stress evokes integrated physiological and behavioural adjustments in a changing environment. The autonomic nervous system and a neuroendocrine axis are the primary effector systems during stress responses. Within key stress regulatory brain circuits, the medial prefrontal cortex (mPFC) integrates and regulates physiological and behavioural stress responses and is a candidate modulator of social functioning. Its activation may be impaired in SZ. This project will address these challenges by connecting an interdisciplinary team combining stress integrative biology, clinical psychiatry research and neurophysiology. Based on a novel paradigm representative of real-life social exclusion situations for people with SZ, we propose a case-control evaluation of: a) SC performance before and after the stressor; b) subjective appraisal of the social stressor; c) cardiovascular and cortisol stress reactivity; d) the effect of mPFC activation by transcranial magnetic stimulation on the abovementioned endpoints in SZ patients. The interdisciplinary skills gained during this action will significantly enhance applicant’s future career prospects on bringing basic neuroscience closer to patient care.

Keywords: social exclusion,schizophrenia,psychosis,social cognition,subjectivity,acute stress,cardiovascular,responses,cortisol,prefrontal cortex,neurophysiology,transcranial magnetic stimulation
Wood phenotyping tools: properties, functions and quality (TOPWOOD)

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: Environment and Geosciences
Countries involved: Austria,Argentina,Spain,France
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2014, 2014)
Start date: 2015-04-01
End date: 2019-03-31
Duration (months): 48.0
Total project cost (EUR): 675000.0
EU funding (EUR): 675000.0
Participants: 4
Project status: CLOSED

The objective of TOPWOOD is to build a four-year scientific exchange program about the test and development of medium and high-throughput phenotyping measurement and analysis tools for selected basic wood properties in the laboratory and in the field (TOols for Phenotyping WOOD-TOPWOOD). The participants wish to exchange knowledge and experience for sharing and expanding skills, improving existing tools and developing new original measuring devices for wood properties involved in studies of wood quality and of wood biological functions. The phenotyping tools and methods of analysis developed and improved in TOPWOOD are intended to be used by the participants to investigate the genetic and environmental determinism of key wood properties involved in forest tree adaptation, as well as in wood production and wood quality for the forest and wood industries. The participants of TOPWOOD are three academic institutions and one private company from three European Union countries, Austria, France and Spain, and one third country, Argentina. TOPWOOD WP1 is dedicated to the measurement of basic wood properties involved in wood quality (using near infrared spectroscopy, microdensity and ultrasonic approach). WP2 aims at studying and developing measuring devices for wood functional traits (wood hydraulic conductivity, vulnerability to cavitation and the dynamics of wood formation). WP3 aims at developing, discussing and disseminating data analysis methods dedicated to the large and complex data sets generated by these measuring devices. Finally WP4 is dedicated to coordination, management and dissemination.

Keywords: wood,wood sciences,wood properties,near infrared spectrocopy,microdensity,ultrasound,vunerability to cavitation,forest,forest sciences,forest industry,wood industry
Time-Data Trade-Offs in Resource-Constrained Information and Inference Systems (time-data)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-09-01
End date: 2023-02-28
Duration (months): 66.0
Total project cost (EUR): 1931574.0
EU funding (EUR): 1931574.0
Participants: 1
Project status: CLOSED

Massive data poses a fundamental challenge to learning algorithms, which is captured by the following computational dogma: The running time of an algorithm increases with the size of its input data. The available computational power, however, is growing slowly relative to data sizes. Hence, large-scale problems of interest require increasingly more time to solve. Our recent research demonstrates that this dogma is false in general, and supports an emerging perspective: Data should be treated as a resource that can be traded off with other resources such as running time. For data acquisition and communications, we have also shown related sampling, energy, and circuit area trade-offs. A detailed understanding of time-data and other analogous trade-offs, however, requires interdisciplinary studies that are currently in their infancy even for basic system models. Existing approaches are too specialized, and crucially, they only aim at establishing a trade-off, but not characterizing its optimality or its technological feasibility. TIME-DATA will confront these challenges by building unified mathematical foundations on how we generate data via sampling, how we set up learning objectives that govern our fundamental goals, and how we optimize these goals to obtain numerical solutions. We will demonstrate our rigorous theory with task-specific, end-to-end trade-offs (e.g., samples, power, computation, and statistical precision) in broad domains, by not only building prototype analog-to-information conversion hardware, but also accelerating scientific and medical imaging, and engineering new tools of discovery in materials science. Our goal of systematically understanding and expanding on this emerging perspective is ambitious: Our mathematical sampling framework, in tandem with new universal primal-dual algorithms and geometric estimators, are expected to change the way we treat data in information systems, promising substantial flexibility in the use of limited resources.

Keywords: convex optimization,statistical inference,information theory,array signal processing,analog to digital converters,medical imaging,fourier optics systems,materials discovery,super resolution