Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Belief Systems Project (BSP)

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: Netherlands
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-07-01
End date: 2023-06-30
Duration (months): 60.0
Total project cost (EUR): 1496944.0
EU funding (EUR): 1496944.0
Participants: 1
Project status: CLOSED

Belief systems research is vital for understanding democratic politics, extremism, and political decision-making. What is the basic structure of belief systems? Clear answers to this fundamental question are not forthcoming. This is due to flaws in the conceptualization of belief systems. The state-of-the-art treats a belief system as a theoretical latent variable that causes people’s responses on attitudes and values relevant to the belief system. This approach cannot assess a belief system because it cannot assess the network of connections between the beliefs–attitudes and values–that make up the system; it collapses across them and the interrelationships are lost. The Belief Systems Project conceptualizations belief systems as systems of interconnecting attitudes and values. I conceptualize attitudes and values as interactive nodes in a network that are analysed with network analyses. With these conceptual and empirical tools, I can understand the structure and dynamics of the belief system and will be able to avoid theoretical pitfalls common in belief system assessments. This project will move belief systems research beyond the state-of-the-art in four ways by: 1. Mapping the structure of systems of attitudes and values, something that is not possible using current methods. 2. Answering classic questions about central concepts and clustering of belief systems. 3. Modeling within-person belief systems and their variations, so that I can make accurate predictions about partisan motivated reasoning. 4. Testing how external and internal pressures (e.g., feelings of threat) change the underlying structure and dynamics of belief systems. Using survey data from around the world, longitudinal panel studies, intensive longitudinal designs, experiments, and text analyses, I will triangulate on the structure of political belief systems over time, between countries, and within individuals.

Keywords: political psychology,social psychology,ideology,belief systems,network psychometrics
Magnetic Insulators: An Enabling Platform for Innovative Spintronic Concepts (MAGNEPIC)

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: Spain
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-02-01
End date: 2026-01-31
Duration (months): 60.0
Total project cost (EUR): 1916585.0
EU funding (EUR): 1916585.0
Participants: 1
Project status: SIGNED

New approaches to write, read, and process data are required in order to improve the sustainability of computer technologies. Spintronics offers attractive solutions to these problems. Today, however, the majority of spintronic devices and research efforts rely on a limited set of materials, mostly magnetic conductors. Here I propose to challenge this conventional approach and place magnetic insulators at the core of spintronics by exploiting their advantages over conducting magnets. Magnetic conductors are ubiquitous in spintronics due to their ability to generate and detect spin currents by electrical means. However, we now know that nonmagnetic materials with large spin-orbit coupling can efficiently convert charge currents into spin currents with de-coupled directions. This key feature enables spin current injection into virtually any material, including magnetic insulators where charge currents cannot propagate but spin currents can. The aim of this project is to bridge the long-established knowledge on magnetic insulators with today’s expertise on spintronics and measurement techniques. I will exploit the highly tunable properties of magnetic insulators to achieve efficient magnetization control by electrical means in various schemes. First, I will optimize the current-induced spin-orbit torque control of magnetization in magnetic insulators, a widely used methods in ferromagnetic conductors, but little explored in the context of insulators. Second, I will devise a new electrical method to induce localized spin-flop transitions and harness the magnonic spin currents generated in this process. Third, I will explore the possibilities of dynamically controlling the magnetic properties of insulators by proximity coupling and electric gating. Overall, MAGNEPIC will provide breakthrough knowledge of magnetic insulators for spintronics and demonstrate fast, energy-efficient, and innovative device concepts for magnetic data manipulation beyond the state-of-the art.

Keywords: magnetic insulators,ferrimagnetism,spin orbit torques,current induced switching,voltage control of magnetism,magnon generation and detection
Emotion Regulation Deficits among People at Risk for Suicide (ERDS)

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: Social Sciences and Humanities
Countries involved: Israel,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2024-10-31
Duration (months): 36.0
Total project cost (EUR): 269998.08
EU funding (EUR): 269998.08
Participants: 2
Project status: TERMINATED

Suicide is a leading cause of death. One factor associated with risk for suicide is emotion regulation deficits. There is evidence linking suicide risk with self-reported difficulties in emotion regulation. However, the nature of such difficulties remains largely unknown. Existing research has mainly relied on self-reports, and did not clearly distinguish between deficits experienced at different stages of the regulatory process. ERDS will address this gap by assessing whether people at risk for suicide experience deficits in three individual stages of the emotion regulation process. Specifically, ERDS will test whether people at risk for suicide differ from psychiatric and non-psychiatric controls in their attempts to decrease negative emotions (Study 1), in their access to emotion regulation strategies (Study 2) and in their ability to implement effective strategies (Study 2). ERDS will also test whether such differences are moderated by gender. To do so, ERDS will go beyond self reports and utilize carefully controlled behavioral tasks and physiological measures of emotional reactivity. ERDS will also utilize Experience Sampling Methods to track emotion regulation and suicidal ideation in daily life (Study 1). Finally, ERDS will use experimental designs to test whether providing assistance in two different stages of emotion regulation improves emotion regulation efficacy among people at risk for suicide (Study 2). By doing so, ERDS could reveal mechanisms underlying emotion regulation impairment in this population. To conclude, ERDS will provide invaluable information on whether and how emotion regulation is impaired among people at risk for suicide. Gaining such knowledge could potentially help people at risk for suicide to better regulate emotions, hopefully reducing their need to resort to more extreme solutions for their suffering. Therefore, ERDS could potentially inform theory as well as treatment and prevention.

Keywords: emotion regulation,suicide,goals,emotion regulation strategies
Automated real-time production forecasting for industry (WORKSHOP4.0)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Spain
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2015, 2015)
Start date: 2016-02-01
End date: 2016-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

"Workshop managers face daily the challenge to execute their production plans at the lowest product rejection rates and costs. Rejections can be due to multiple kinds of defects in the manufactured piece. Each kind of defect is co-related to the particular parameters of production and the surrounding environment that have converged during the manufacturing process of the defective piece. At modern workshops the number of converging parameters during production can range from several hundreds to thousands. In serial production, defects are more prevalent at the beginning of the production of each new reference, until all production parameters are correctly set-up, but it’s also frequent to suffer involuntary, environmental or unavoidable modifications of parameters that also cause defective production.The problem of defective production is particularly relevant the higher the value of the workpieces produced and the shorter the production series. The evolution of the industrial production worldwide, and specially in advanced economies like Europe, tend towards a higher customization of products, thus to shorter series of higher cost and value pieces, making the problem of defective production a increasingly relevant issue for the competitiveness of industry.VEIGALAN has developed WORKSHOP4.0, a tool based on big data and artificial intelligence technologies that forecasts in real time the optimum working conditions for production processes involving material melting or fluency. WORKSHOP4.0 is capable to forecast the optimum production parameters at the beginning of a new series and re-calculate the new optimum parameters when unexpected, even un-noticed, defect producing events happen."

Keywords: industry 4 0,artificila intelligence,production control
BrIdging Structural BiOlogy with Biological SyNthesis and Self Assembly to Reveal Key Processes in Living Systems (BISON)

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: Austria,France,France,Czechia,United Kingdom
Call: Twinning (H2020-TWINN-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 996375.0
EU funding (EUR): 996375.0
Participants: 6
Project status: CLOSED

BISON will enhance the collaborative framework of the Central European Institute of Technology of Masaryk University (CEITEC MU), which was created during 2011-14 by utilising synergies of Structural Funds and the Framework Programme, with its three internationally-leading counterparts in the fields of structural biology by extending expertise related trans-disciplinary areas. The goal is to stimulate scientific excellence and innovation capacity of CEITEC MU by opening several identified interfaces to Cell biology, Biological chemistry and synthetic biology, and New generation of therapeutics, which form the research framework of the project. BISON will strengthen the competence of CEITEC MU to study complex problems in integrated structural biology and help to translate research results into high value-added applications. The practical relevance of research will be fostered by targeting two vertical priorities of the Regional S3 strategy of South Moravia “Pharmaceutical, medical care and diagnostics” and “Precision instruments”, which is included also in the Czech national S3 strategy. Scientific goals of BISON will be implemented by TWINNING activities such as training and mentoring, summer schools, joint scientific events, workshops and conferences in order to raise the research profile of the involved institutions, extend their scientific networks and increase participation in H2020. CEITEC MU joins forces with University of Vienna, Université Joseph Fourier and University of East Anglia based on their scientific excellence and as a gateway to most advanced and innovative BioRegions of the EU which will contribute to maximising the impact of the TWINNING action. A significant impact is expected on the overall scientific and innovation capacity of CEITEC MU and will be measured by a set of performance indicators including numbers of quality publications, citations, prestigious grants, results relevant for applications.

Keywords: structural biology,protein rna interactions,protein protein interaction,electrochemistry of nucleic acids,nmr spectroscopy,cryo electron microscopy,glycobiochemistry,recognition
TRAXEN – Ultra low power, long life tracking sensor (TRAXEN tracking)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Hungary
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Our goal is to introduce a novel, miniaturized, decade long life tracking solution for the logistics industry to be able to track each of their pallets, containers, trailers, wagons, boxes which means we open an entirely new, approximately 79 Billion EUR market in the world. Our development is also supported by IoT innovation team of T-Systems Hungary Plc. whose goal is to import our product into their B2B sales portfolio. With current tracking devices, mass tracking is not possible without high investment cost on devices, constant battery recharging, maintenance, staff is needed to keep the devices alive. These devices operate only for days as GPS and GSM based tracking has high energy need. Adding more battery makes these devices too large, not fitting to many applications (e.g.: pallets, medication boxes). With our unique, miniaturized tracking devices, based on NBIoT communication technology, we can solve one of the main problem of the logistics industry: track and locate any of their transportation assets real time, constantly even for a decade with very low investment cost and almost 0 maintenance. Based on our product logistics, transportation can be more reliable, initial and constant investment on replacing and managing missing, misplaced pallets, trailers, containers can be tremendously reduced, also insurance cost of missing goods can be reduced and needed resources can be minimized and optimized. Regarding this huge market, based on a modest production capacity prediction we can reach at least 22.8 million EUR revenue by 2023, reaching only 0.03% of this market. Our company has 7+ years of IoT development history, and we are official NBIoT sensor developer and industrial partner of IT Services Hungary and T-Systems Hungary Plc. with several successful NBIoT development for external large industrial partners (e.g. E.oN). Our team is lead by Gabor Illes-Kiss who has a strong experience in international project management, company leadership.

Keywords: nbiot low energy tracking,nbiot sensors,smart transportation,smart logistics,asset tracking,pallet tracking,container tracking,trailer tracking
Astrocyte-neuron COmmunication in METabolism and obesity. (AstroCOMET)

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: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: CLOSED

Obesity and type 2 diabetes have been increasing during the last decades, becoming highly prevalent diseases in our society. Until very recently, astrocytes and other glial cells have been traditionally known as supportive cells to neurons, but the host research group led by Prof. Matthias Tschöp has recently reported that insulin receptors (IRs) in astrocytes regulate glucose delivery into the brain and lack thereof leads to a reduced response of glucose-induced suppression of food intake (Garcia-Caceres et al., Cell 2016). These data, together with previous findings, suggest a new paradigm in which astrocytes interplay with neurons in the CNS control of metabolism, body weight, and energy balance. However, the molecular underpinnings remain to be investigated. My main objective is to test the hypothesis that astrocyte-neuron communication is required for maintaining a normal energy homeostasis, and its impairment contributes to the pathogenesis of obesity. To achieve this, I will use Designer Receptors Exclusively Activated by Designer Drugs (DREADD) technology to examine whether astrocyte activity is required for maintaining a normal energy homeostasis. I will generate two transgenic mouse models (dnSNARE mouse and iBot mouse) to specifically interfere with the release of gliotransmitters in order to test whether astrocytes release vesicles to regulate the activity of hypothalamic neurons in the control of energy metabolism. Finally, I will investigate whether hypercaloric diet disrupts astrocyte-neuron communication, thus contributing to obesity progression. This project has the potential to reveal new mechanism(s) of metabolic homeostasis and how its impairment explains the development of obesity. Moreover, this proposal will enhance my individual competence in terms of skill acquisition and creativity through an advanced training in a privileged host environment; representing all together a significant contribution to the Horizon 2020 Work Programme.

Keywords: obesity,diabetes,astrocytes,hypothalamus
The Final 21-cm Cosmology Frontier (CODEX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-12-01
End date: 2025-11-30
Duration (months): 60.0
Total project cost (EUR): 3499965.0
EU funding (EUR): 3499965.0
Participants: 1
Project status: SIGNED

Radiation emitted by neutral hydrogen during the Universe's first billion years holds detailed information about its first stars, galaxies, black holes and fundamental physics. Achieving a detection of its faint "21-cm signal", currently redshifted to several meter wavelengths, has been extremely difficult due to the bright radio emission from other sources, human-made interference signals, the ionosphere, and telescope imperfections. It thus remains one of the hardest frontiers in present-day cosmology. In the past years, we made tremendous progress in mitigating these challenges, thanks to access to world-class low-frequency radio telescopes and research into innovative data analysis techniques. Using the Low-Frequency Array (LOFAR), we set the deepest limits on the 21-cm signal during the Epoch of Reionization, 500-1000 million years after the Big Bang, and the first limits during the early Cosmic Dawn. We started two innovative programs with AARTFAAC and NenuFAR, targeting the entire span of the Cosmic Dawn (100-500 million years), covering the recently-announced global 21-cm signal from EDGES. Last but not least, we launched the Netherlands-China Low-Frequency Explorer (NCLE) space-mission, currently in lunar L2 as part of the Chinese Chang-e' 4 mission, to set the first limits on the global 21-cm signal from the Dark Ages (20-100 million years). CoDEX draws together these state-of-the-art observational programs and their expertise into a single program, improving current 21-cm power spectrum limits by three to six orders of magnitude, advancing them into the domain of standard astrophysical models from z~8 to ~80. To achieve this, we will process petabytes of data, strengthen efforts in the signal- and data-processing domain and enhance processing capacity. ERC funding enables us to achieve this in the coming years before next-generation instruments, such as the SKA, come online.

Keywords: reionization,cosmic dawn,dark ages,21 cm cosmology
Revolutionary Platform to Decipher Immunogenicity of Tumour Neoantigens- the Ultimate Targets for Future Immunotherapies to Eradicate Cancer (DECOD-Ag)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Israel,Denmark,United Kingdom,United Kingdom
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2020)
Start date: 2021-06-01
End date: 2026-05-31
Duration (months): 60.0
Total project cost (EUR): 2999993.75
EU funding (EUR): 2999993.75
Participants: 5
Project status: SIGNED

Immunotherapy has revolutionised cancer treatment, providing survival benefits in patients with hard-to-treat tumours. Tragically, these benefits are unevenly distributed. Clinical efficacy varies dramatically between (and within) cancer types, and severe side-effects persist. To address this, new treatment strategies seek the rational design of personalised therapies to achieve full eradication of most cancers. Such a vision can be achieved by inducing immune responses against the ultimate tumour-specific targets: immunogenic tumour neoantigens (iNeoAg). However, a major limitation is the lack of technologies to identify iNeoAg from the thousands of background mutations in tumours. The DECOD-Ag consortium envisions a revolutionary technology realising an unbiased high-throughput transformative immunogenicity profiling platform that, for the first time, uniquely identifies iNeoAgs with the following enabling technologies: i) high throughput screening technology based on random mutagenesis and artificial antigen-presenting cells, to categorise immune recognition triplets (MHC-neoantigen-TCR), define the rules of neoantigen-T cell engagement and the immunogenicity of the neoantigen; ii) robust in silico prediction algorithms to predict neoantigen immunogenicity and neoantigen-T cell pairing; and iii) clinical validation workflow combining multiple advanced immune monitoring technologies. The DECOD-Ag project will be conducted by world-leading, interdisciplinary scientists, with expertise in cancer immunotherapy, bioinformatics, peptidomics, mass spectrometry, immune monitoring, clinical and translational medicine. The DECOD-Ag platform and GENESIS predictor will lead to a new frontier towards developing novel and effective anticancer therapies, with the radical potential to fully eradicate any tumour in any patient.

Keywords: cancer immunotherapy,tumor neoantigens,t cells,machine learning,deep learning,immunogenicity prediction,vaccines,adoptive cell therapies,tumor mutations