Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Prevention of child mental health problems in Southeastern Europe - Adapt, Optimize, Test, and Extend Parenting for Lifelong Health (RISE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Austria,Germany,South Africa,Germany,Moldova, Republic of,Romania,North Macedonia,United States,United Kingdom,United Kingdom
Call: Global Alliance for Chronic Diseases (GACD) prevention and management of mental disorders (H2020-SC1-2017-Single-Stage-RTD, 2017)
Start date: 2018-01-01
End date: 2022-06-30
Duration (months): 54.0
Total project cost (EUR): 2976092.25
EU funding (EUR): 2976092.25
Participants: 11
Project status: CLOSED

Significant burden of mental health disorders in LMIC could be prevented if effective services, especially early interventions, were more widely available. Nearly half of all mental disorders have an early onset before the age of 14 and often take a costly chronic course impacting social functioning, economic productivity as well as quality of life. Parenting interventions represent one approach to prevention of child mental health disorders, particular behavioral disorders, which could reduce the global burden of mental disorders in LMIC. However, addressing extending parenting intervention research to LMIC does not only require rigorous testing of the efficacy of interventions in new LMIC, but also requires increased attention to implementation, dissemination, and sustainability. This calls for a systematic empirical process that at a) adapts content and materials to the respective LMIC, b) tests the different components, c) subsequently, optimizes the intervention based on these initial results, and then d) re-tests the optimized intervention again while attending to broader contextual and economic influences. This is what we will propose for RISE. We will use an intervention that has been specifically designed for low resource settings and already been introduced and tested in other LMIC. The Parenting for Lifelong Health (PLH) is one of the first programs to provide early intervention parenting programs to prevent adverse childhood experiences and reduce child behavioral problems in LMIC. We plan to extend the program of research on PLH in three of the poorest countries in Europe where empirically-based prevention programs are in need of wide scale implementation. In RISE, we plan to innovatively combine the state-of-the art Multiphase Optimization Strategy for intervention research with a rigorous implementation science approach, which will allow RISE to make significant advances in the prevention of child behavioral disorders in Southeastern Europe.

Keywords: child mental health,abuse prevention,most,parenting,families
Spectral theory of random operators (SPECTRUM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Israel,United Kingdom
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-06-01
End date: 2020-08-31
Duration (months): 63.0
Total project cost (EUR): 991750.0
EU funding (EUR): 824853.75
Participants: 2
Project status: CLOSED

The theme of this proposal is the study of random operators associated with some geometric structure, and the influence of the geometry on the spectral properties of the operator. Such operators appear in problems from theoretical physics, and lead to new and interesting mathematical structures. One circle of questions is related to random operators, which describe the motion of a quantum particle in a disordered medium, such as random band matrices. The behaviour of the particle is influenced by the underlying geometry, as quantified by the (non-rigorous) Thouless criterion for localisation in terms of the mixing time of the classical random walk; in the context of random band matrices, the predictions of the Thouless criterion are supported by additional (non-rigorous) arguments. These predictions have so far not been rigorously justified; an exception is my own result, validating it at the spectral edges. One of our goals is to develop new methods, which would be applicable in the bulk of the spectrum, for random band matrices and other operators with geometric structure. Another circle of questions is given by random processes taking values in large random matrices. The spectral properties of the random matrix at every point of the underlying space are described by the random matrix theory; but how does the spectrum evolve along the underlying space? The richness of this question is apparent from the one-dimensional case of Dyson Brownian motion. We intend to study the local eigenvalue statistics of general matrix-valued random processes with multi-dimensional underlying space; to give a complete description of the random processes which appear in the limit, first for the spectral edges and then for the bulk of the spectrum, and to explore the appearance of these processes in a variety of basic questions of mathematical physics.

Keywords: random operators,spectral theory,random matrices
Theoretical Chemistry and Computational Modelling (TCCM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Joint Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Austria,Spain,Spain,Spain,Spain,Italy,Italy,Italy,Germany,Spain,Belgium,Sweden,France,France,France,Netherlands,Netherlands,Portugal,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-EJD) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 3785867.52
EU funding (EUR): 3785867.52
Participants: 27
Project status: CLOSED

Theoretical Chemistry and Computational Modelling (TCCM) is emerging as a powerful tool to help in the rational design of new products and materials for pharmaceutical, chemical, energy, computer, and new-materials industries. To achieve this goal, it is necessary to go beyond the traditional electronic structure studies, and merge complementary techniques that are normally not available at a single research group. The research programme of the TCCM-EJD aims at applying computational modelling to problems demanded by the industry and with high societal relevance, namely Materials with special properties, Biomolecules for new therapies and Energy storage. The objective of the Joint Doctorate is to prepare future research leaders, able to develop and use multidisciplinary computational techniques (methods and software), with solid communication skills, with many contacts established through the intensive relationship with worldwide leading researchers of 12 European universities and 14 additional partners, including 7 industrial and spin-off companies. A Joint Doctorate in TCCM is already operative since 2011, based on a fully participative scientific discussion and assessment of all research projects with a clear interdisciplinary character and the direct participation of the non-academic sector. The training programme puts the emphasis in common training, including 3 annual International Workshops, 3 schools on High Performance Computing and 3 tutorials in new computer codes. Career development opportunities are enhanced with regular inter-sectoral activities, transferable skill education and career coaching.

Keywords: computational modelling,theoretical chemistry,materials design,computational biochemistry,dynamics in ground and excited states,high performance computing,grid computing,software development
Amine-Directed Diverse C(sp3)-H Functionalization (Amine-FUNC)

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: Chemistry
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2017-03-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The development of new chemical transformations based on catalytic functionalization of unactivated C-H bonds has the potential to simplify the synthesis of complex molecules dramatically. Although some progress have been achieved in this emerging area, the selective transformation of aliphatic C-H bonds is still a challenge. This proposal aims to develop a new platform for the direct activation of unactivated sp3 C-H bonds of aliphatic amines and to apply this novel C(sp3)-H functionalization technology to synthesize diverse amine compounds. A key novel concept of this project is to use an unprotected aliphatic secondary amine as a native directing group, through a remarkable 4-membered-ring cyclometallation pathway. The goals of this proposal include: (I) developing unprecedented diverse C(sp3)-H functionalization of amine technology, accessing diverse functionalized amine compounds, (II) developing novel Pd-catalyzed enantioselective C-H functionalization methods to make enantioenriched chiral molecules, (III) application of this novel C(sp3)-H functionalization technology to make a library of diverse functionalized Salbutamol and Bupropion analogues, and screen them for biological and medicinal activities.

Keywords: synthetic methods,diverse c sp3 h functionalization,aliphatic amine,four membered palladacycle,salbutamol and bupropion analogues
Multimodal optical interrogation of neural activity and neuromodulation during sequence processing (EnlightenedLoom)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-16
End date: 2024-03-17
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: TERMINATED

The world often presents us with sequences of multisensory stimuli unfolding over time, like a car appearing after we hear it approaching. In the cerebral cortex, individual neurons integrate information across senses and time in order to identify these objects. Meanwhile, neuromodulatory molecules shape neural computations, adapting them to context and experience. It is from this interplay that the spatio-temporal patterns of neural activity containing the code for how we perceive the world originate. However, these activity patterns have long been experimentally inaccessible, and they have never been investigated concurrently to neuromodulation. With this project, I will reveal the causal role of functionally-identified ensembles of neurons in the perception and learning of audio-tactile sequences. I will combine, for the first time, two-photon (2p) imaging and holographic-optogenetics with fluorescent neuromodulation sensors. My experiments will be performed in the posterior parietal cortex (PPC) of the mouse, a multimodal area acting as sensory history buffer. I will focus on noradrenaline (NA), a modulator so far involved in sharpening processing of weak unisensory features. I will 1) test which PPC neurons are sufficient, when activated, to bias perception of multisensory sequences during a behavioural task; 2) simultaneously, I will test whether and how PPC levels of NA change when altering sequence discriminability. My experiments will be supported by a solid theoretical framework based on Information Theory. In conclusion, I will use a unique combination of advanced molecular, optical, and computational tools to pursue a novel, causal and integrative approach to cortical function: one where functional neuronal subgroups and neuromodulation are investigated together, at high-resolution, to explain the multi-layered biological basis of the fascinating interaction between our brains and the world.

Keywords: temporal sequences,association cortex,optogenetics,calcium imaging,all optical,behaviour,information theory,neuromodulation,noradrenaline,multisensory
Low-power spin-wave-based computing (POWERSPIN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Finland
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2018-07-01
End date: 2019-12-31
Duration (months): 18.0
Total project cost (EUR): 149830.0
EU funding (EUR): 149830.0
Participants: 1
Project status: CLOSED

Downscaling of Si-based microprocessors has considerably increased the amount of heating in computers and other information and communication technology (ICT) devices. As a result, computer servers in big data centres waste more than 90% of the electricity they pull off the grid. High-density electrical currents in microprocessors and interconnects cause excessive warm-up via an effect known as Joule heating. To fulfil future requirements for data transmission and processing rates with low energy consumption, a paradigm shift away from purely charge-based electronics is needed. Recently, post-Si computing with collective spin wave excitations in tailored magnets has been identified as a promising route. Spin waves are transmitted through a magnetic material without the displacement of electric charges (i.e. currents), thus drastically reducing energy consumption and heating. We recently demonstrated that short-wavelength spin waves can be emitted and manipulated by small voltage pulses in ferroelectric-ferromagnetic bilayers. In the ERC PoC project we will use our results to realise an industrially relevant integrated spin wave computing device.

Keywords: nanotechnology,magnetic logic,spin wave computing,electric field controlled magnetism
Uncovering the Origins of Mass: Discovery of the di-Higgs Process and Constraints on the Higgs Self-Coupling (HiggsSelfCoupling)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany,United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2019-06-01
End date: 2025-05-31
Duration (months): 72.0
Total project cost (EUR): 2262897.0
EU funding (EUR): 2262897.0
Participants: 2
Project status: SIGNED

The Standard Model of particle physics describes the elementary constituents of matter and their interactions. In 2012, its last ingredient, the Higgs boson, was discovered at the Large Hadron Collider (LHC). The exploration of the Higgs boson is now one of the most exciting avenues to explore for New Physics beyond the Standard Model and allows some of the most pressing problems in theoretical physics to be addressed, such as the origins of the electroweak symmetry breaking mechanism. This important mechanism gives elementary particles their masses but the nature of this mechanism remains a mystery. A particularly crucial measurement is the production cross-section of Higgs boson pairs, which provides unique information on the Higgs self-coupling and on the underlying nature of the electroweak symmetry breaking mechanism. Most feasibility studies of the Higgs self-coupling conclude that there will be insufficient data for this measurement in the coming decade. However, my recent feasibility studies indicate that by using the Higgs pair production process with four bottom quarks in the final state, the discovery of the di-Higgs process and its cross section measurement can be made much earlier. This project aims to develop and complete the first measurement of the di-Higgs cross section and most stringent bounds on the Higgs self-coupling before 2023. To achieve this goal I will develop new experimental techniques to improve the background reduction rates and enhance the signal. The objectives are the development of novel bottom quark energy reconstruction algorithms, new bottom quark and Higgs identification techniques, and neural network analysis tools. Analysis of ATLAS data will then enable searches for New Physics and ultimately the di-Higgs cross section measurement to constrain the Higgs self-coupling. This landmark measurement will lead to the confirmation of how particles acquire mass and open new avenues to understand what lies beyond the Standard Model.

Keywords: di higgs pair production,higgs self coupling,jet reconstruction and calibration,sub structure techniques,boosted and resolved topologies,b quark and higgs identification,mva techniques
Increasing the scientific excellence and innovation capacity in Data-Driven Simulation of the University of Luxembourg (DRIVEN)

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: Ireland,France,United States,Luxembourg
Call: Twinning (H2020-WIDESPREAD-05-2017-Twinning, 2017)
Start date: 2018-10-01
End date: 2022-03-31
Duration (months): 42.0
Total project cost (EUR): 1157475.0
EU funding (EUR): 1000000.0
Participants: 4
Project status: CLOSED

The overall aim of the DRIVEN project is to boost the scientific excellence and technology-transfer capacity in data-driven simulation of the University of Luxembourg (UL) by creating a network with the high-quality Twinning partners: Institut National de Recherche en Informatique et en Automatique (Inria), University of Limerick (ULIM) and University of Texas at Austin (UT Austin). To achieve this aim, the 3 year project will build upon the existing strong research and innovation base of UL and its Twinning partners. To boost their scientific excellence and technology transfer capacity in data-driven simulation, the partners will implement a research and innovation strategy focused on three sub-topics: 1. Mathematical foundations for data-driven simulations – UL with UT Austin, 2. Data-driven simulations for computer-assisted therapy – UL with Inria, and 3. Data-driven simulations for functional composite materials – UL with ULIM. The research and innovation strategy takes into account the recent SWOT analysis of UL and has the following objectives: • Objective 1: Strengthen UL’s research excellence in data-driven simulation • Objective 2: Enhance the research and innovation capacity of UL and the Twinning partners • Objective 3: Raise the research profile of UL and the Twinning Partners • Objective 4: Contribute to the SMART Specialisation Strategy of Luxembourg • Objective 5: Support research and innovation on a European level In order to achieve these objectives, the consortium partners will implement a comprehensive set of measures via the project’s work packages: • Short term staff exchanges (WP1); • Training workshops, conferences and summer schools (WP2); • Dissemination and outreach (WP3).

Keywords: data driven simulation,computer assisted therapy,functional composite materials,mathematical,foundations
Universal application 2 conduct Privacy Impact Assessment analysis and reports (U2PIA)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: Italy
Call: Engaging SMEs in security research and development (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-11-01
End date: 2017-03-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

We are Nier Soluzioni Informatiche (NSI), an innovative software company that operates since 2002 in the fields of security compliance, privacy compliance, and counselling on the protection of personal information in collaboration with law firms. We have a strong history and capacity to develop new products/services (10% revenue growth), a €4.2M turnover in 2015 and 80 employees currently, established commercialization channels, and an international customer base of both private companies (e.g. Philips, Nike, Magneti-Marelli, Scuderia Toro-Rosso) and public entities (e.g. Università di Bologna, Rizzoli Institute, San Raffaele Hospital of Milan, or AUSL –healthcare system of Emilia Romagna Region). With the support of renowned legal experts focused on privacy and data protection (Orlandi-Leone Studio Legale), we are launching U2PIA, a disruptive cloud platform designed to enable the creation of in-depth analysis of the risks which Personal Data are subject to through a Privacy Impact Assessment (PIA). Our platform will address the requirements of the upcoming mandatory European regulation (EU) 2016/679 on Privacy Assessment that all private and public EU companies must meet, to avoid the large penalties and severe sanctions that they could suffer if proper action is not taken (failure to comply put the business at a risk of a sanction up to 20 million euros or, if higher, up to 4% of annual worldwide turnover). Thanks to U2PIA, not only do we expect about €3.1M revenue and ROI of 2.78 by the third year of business, but it will also help us become a cloud SaaS service leader provider.

Keywords: privacy impact assessment,data protection,privacy,european regulation,software,cloud