Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Scale-up of Prevention and Management of Alcohol Use Disorders and Comorbid Depression in Latin America (SCALA)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Spain,Colombia,Netherlands,United Kingdom,Peru
Call: Global Alliance for Chronic Diseases (GACD) prevention and management of mental disorders (H2020-SC1-2017-Single-Stage-RTD, 2017)
Start date: 2017-12-01
End date: 2021-11-30
Duration (months): 48.0
Total project cost (EUR): 2568692.5
EU funding (EUR): 2568692.0
Participants: 9
Project status: CLOSED

Following the strategic approach of the Global Alliance for Chronic Diseases (GACD) to support optimal approaches to implement existing knowledge, SCALA implements and evaluates an evidence-based approach to scale up prevention and management of Alcohol Use Disorders (AUD) and comorbid depression, using primary health care (PHC) as the integrated delivery platform, embedded within municipal settings. SCALA uses different capacity-building and training approaches for a range of health care professionals and other stakeholders and municipal-based adoption and support mechanisms for joined-up action to improve health literacy, and to prevent and manage AUD and comorbid depression, reducing the burden of their attributable non-communicable diseases (NCDs). Implemented in three countries of Latin America (Colombia, Mexico and Peru), SCALA facilitates country-specific priority setting for interventions that capture health and economic costs and benefits with a long-term perspective, to ensure best-buy programme and policy decisions that lay out the pathways for scaling up in other countries of the region, and, further, globally. SCALA supports implementation of the WHO Mental Health Action Plan 2013-2020, using primary health care as the platform for the prevention and management of AUD and comorbid depressive disorders, closing treatment gaps, and reducing stigma and social exclusion. SCALA contributes to UN Sustainable Development Goal 3 as a whole, and, in particular 3.5 that strengthens the prevention and treatment of the harmful use of alcohol.

Keywords: alcohol use disorder,depressive disorders,primary health care,colombia,mexico,peru,municipalities,quasi experimental study
Generation and manipulation of quantum sound (Q-ECHOS)

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: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-03-01
End date: 2026-02-28
Duration (months): 60.0
Total project cost (EUR): 2374300.0
EU funding (EUR): 2374300.0
Participants: 1
Project status: SIGNED

Quantum physics has been at the very heart of understanding the inner workings of nature and has led to the beginning of a modern technological revolution. Over the past decades, more and more physical systems have been used in quantum experiments. Yet, despite their tantalizing theoretical potential, full and comprehensive quantum control over phonons, in particular of traveling acoustic waves, has remained an elusive goal, mainly due to technical challenges. I have recently been part of the exciting new developments that set the stage for the field of quantum acoustics. I now propose to investigate novel regimes and applications of quantum physics with quantum excitations of mechanical waves at the nanoscale. My aim is to be able to control acoustic phonons to the same level as we currently achieve in the manipulation of optical photons in quantum optics. I will use new concepts like on-chip phonon routing, filtering, delaying and single-phonon detection to achieve full quantum control over individual phonons. Q-ECHOS is based on novel ideas and approaches, which have only recently become experimentally accessible through state-of-the-art photonic crystal-based quantum optomechanical systems realized in my group. This will allow for the observation of new physical phenomena, understand the decoherence mechanisms of other quantum systems, create hybrid quantum devices and open up completely new possibilities for quantum information processing. The research will not only have lasting impact on optomechanics and quantum physics, but will also pave the way for new technologies, such as quantum transducers for sensor applications, as well as for novel classical communication technologies. The breakthroughs in quantum optomechanics and my strong track record in this area will allow me to achieve exciting results through Q-ECHOS that will break new grounds.

Keywords: quantum acoustics,quantum optomechanics,phonons
Explainable Manufacturing Artificial Intelligence (XMANAI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Spain,Italy,Germany,Spain,Spain,Spain,Estonia,Italy,Cyprus,Greece,Greece,Portugal
Call: Artificial intelligence for manufacturing (H2020-ICT-2020-1, 2020)
Start date: 2020-11-01
End date: 2024-04-30
Duration (months): 42.0
Total project cost (EUR): 5998902.5
EU funding (EUR): 5998902.5
Participants: 19
Project status: SIGNED

Despite the indisputable benefits of AI, humans typically have little visibility and knowledge on how AI systems make any decisions or predictions due to the so-called “black-box effect” in which many of the machine learning/deep learning algorithms are not able to be examined after their execution to understand specifically how and why a decision has been made. The inner workings of machine learning and deep learning are not exactly transparent, and as algorithms become more complicated, fears of undetected bias, mistakes, and miscomprehensions creeping into decision making, naturally grow among manufacturers and practically any stakeholder In this context, Explainable AI (XAI) is today an emerging field that aims to address how black box decisions of AI systems are made, inspecting and attempting to understand the steps and models involved in decision making to increase human trust. XMANAI aims at placing the indisputable power of Explainable AI at the service of manufacturing and human progress, carving out a “human-centric”, trustful approach that is respectful of European values and principles, and adopting the mentality that “our AI is only as good as we are”. XMANAI, demonstrated in 4 real-life manufacturing cases, will help the manufacturing value chain to shift towards the amplifying AI era by coupling (hybrid and graph) AI "glass box" models that are explainable to a "human-in-the-loop" and produce value-based explanations, with complex AI assets (data and models) management-sharing-security technologies to multiply the latent data value in a trusted manner, and targeted manufacturing apps to solve concrete manufacturing problems with high impact.

Keywords: explainable artificial intelligence,decision support system,graph machine learning,graph deep learning,hybrid machine learning,manufacturing
Search for Higgs boson decays into Light Bosons in Boosted Hadronic final states (LightBosons)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The observation and characterisation of the Higgs boson represents the culmination of over forty years of experimental and theoretical progress, cementing the Standard Model (SM) as the most successful fundamental physical theory to date. However, many open questions still remain which can only be addressed with the new physics predicted by many beyond the SM (BSM) theories. Many such theories, such as two Higgs doublet models and the next Next-to-Minimal Supersymmetric Standard Model, also predict new light bosons or an extended Higgs sector. The observation of the Higgs boson opens a new window to search for such new particles, denoted a. This project aims to observe the production of new light hadronically decaying bosons in the Higgs boson decays h->Za, focusing on h->Za->ll+hadrons final states. This is breaking new ground as the h-> Za channel is entirely uncharted territory, only recently proposed, which will probe large parts of the currently allowed 2HDM parameter space. These searches have been out-of-reach to-date due to the challenge of reconstructing low-mass boosted hadronic objects. The exploitation of these channels will require significant innovations such as the development of new reconstruction techniques for boosted low mass hadronic resonances. Looking to the future the upgrade of the ATLAS Inner Tracker is of paramount importance to fully exploit the physics potential of this project with the High Luminosity LHC. The results of this project will represent an important step towards understanding the extent of the Higgs sector or lead to a revolutionary discovery, the first observation of BSM physics at the LHC.

Keywords: atlas,light bosons,higgs boson,boosted hadronic resonances,2hdm singlet,nmssm
TEXAD – Tailoring EXosomes for Autoimmune Diseases (TEXAD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Portugal
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2019-02, 2019)
Start date: 2019-12-30
End date: 2020-12-29
Duration (months): 12.0
Total project cost (EUR): 115000.0
EU funding (EUR): 115000.0
Participants: 1
Project status: CLOSED

Exogenus Therapeutics is a drug development company using an exosome-based platform technology to develop an innovative pipeline of therapeutic products. Exogenus’ scientific team has pioneer research work in the area of Umbilical Cord Blood (UCB)-derived Extracellular Vesicles (EVs) clinical application. Among EVs, exosomes are nanosized vesicles (30-150nm) released from all types of cells responsible for cell-to-cell communication. Exogenus’ technology makes use of UCB cells preconditioned in ischemia, which secrete EVs enriched in pro-regenerative, anti-inflammatory and immunomodulatory biomolecules. Based on immunomodulatory properties of the lead biological active agent under development (Exo-101), and its capacity to increase immunotolerance, the company is investigating the potential of these vesicles for the treatment of autoimmune diseases. There are more than 80 different autoimmune diseases (AD) and a prevalence of more than 50 million people in the US alone. There is a high unmet need for most of these diseases, especially regarding safer treatments with less secondary effects. Based on their proprietary vesicles derived from UCB, Exogenus aims to develop a new generation of biologics for AD, with high efficacy and less secondary effects.

Keywords: extracellular vesicles,exosomes,autoimmune diseases
Combining electrophysiology and cognitive computational modeling in research on meaning in language (Modeling ERPs)

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: Germany,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-01
End date: 2017-07-31
Duration (months): 24.0
Total project cost (EUR): 159795.6
EU funding (EUR): 159795.6
Participants: 2
Project status: CLOSED

Language and meaning processing have been investigated with event-related brain potentials (ERPs), providing direct time-resolved measures of electrical brain activity, and with connectionist network models, providing mechanistic implementations of the assumed processes. However, there has been very little contact between these fields, even though a combination of both methods could be highly beneficial. Based on initial evidence from the applicant, the present project therefore aims to integrate ERPs and computational models in research on language and meaning. Specifically, the N400 ERP component is widely used in research on language and meaning. As the computational mechanisms underlying this component are still unclear, we recently related the N400 to a model of word meaning and observed a close correspondence between N400 amplitudes and semantic network error. As network error is often conceptualized as implicit prediction error, we took these results to indicate that N400 amplitudes may reflect implicit prediction error in the semantic system. However, because the most typical N400 effects are observed during sentence processing, I propose to extend connectionist N400 simulations to sentence processing (Objective 1). Furthermore, the development of syntactic and semantic knowledge in the model should be related to the development of syntactic and semantic ERP components, both in developmental time and when processing words in sentences over time (Objective 2). Next, we aim to test behavioral predictions derived from this model-based account of N400 amplitudes, namely that larger N400 amplitudes should enhance implicit memory formation (Objective 3). Finally, the model-based account of N400 amplitudes as reflecting implicit prediction error should be tested in a conceptually similar theoretical framework, namely the Bayesian brain hypothesis. Thus, we will model N400 amplitudes as Bayesian surprise in the semantic system (Objective 4).

Keywords: semantic cognition,language,erps,connectionist modeling,bayesian surprise,n400,fmri
Creating a Centre of Excellence on Medical Devices in the Norte Region to boost RDI excellence (NORTEXCEL2020)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Framework Partnership Agreement
Countries involved: Austria,Portugal
Call: Teaming (H2020-WIDESPREAD-2014-1, 2014)
Start date: 2015-04-30
End date: 2020-04-29
Duration (months): 60.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 4
Project status: CLOSED

The present “NORTEXCEL2020” proposal is the response of the Portuguese Norte region to the call “WIDESPREAD 1-2014: Teaming” for creating or upgrading centres of excellence, building on partnerships between leading scientific institutions in Europe and low performing countries and regions, in terms of research and innovation performance. This proposal is sponsored and coordinated by the Norte Regional Authority and comes as a direct follow-up to the region’s Smart Specialization Strategy, being born from the entrepreneurial discovery process at the origin of the RIS3, and intended to build on and expand the specialization paths selected for the region, that will be supported under the new regional Operational Programme. The consortium is highly complementary and aligned with the challenges placed by the TEAMING call. The three organizations coming from the low performing region in Portugal (CCDR-N, IPP and INOVA+) have previous experience of working together and perfectly complement each other, creating the necessary conditions for the sprouting of a new, successful, innovation initiative in the region, under the guidance of a very experience partner from a high performing region: JOANNEUM RESEARCH. The Vision for the new centre of excellence is to create a world-leading centre in the Norte region of Portugal, contributing to the regional competitiveness of the research, innovation and business contexts through activities of excellence in applied research, technology development and innovation of an international dimension, becoming the leading regional organization in terms of participation in H2020. NORTEXCEL2020 will develop research and innovation activities integrating core requirements and scenarios from the medical technology application domain (focusing on medical devices, assistive technologies and wellbeing solutions). This application domain will explore new results and research in the areas of health technologies, advanced materials and ICT.

Keywords: centre of excellence,medical devices,assistive technologies
The effects of financial capital accumulation on employment and wealth distribution (FUSION)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-03
End date: 2018-07-02
Duration (months): 12.0
Total project cost (EUR): 97727.4
EU funding (EUR): 97727.4
Participants: 1
Project status: CLOSED

This project will analyse the relationship between the logic of financial accumulation and declining working conditions as well as the widening breach in social inequality affecting large segments of the European population. Studies carried out to date have failed to provide a systematic explanation for the relationship between financialisation, employment and wealth distribution. This project will contribute to filling this knowledge gap in the comparative cases of Spain and the UK, two different poles in terms of Eurozone economies. In the case of Spain, the ER’s (Dr Matilde Massó) current research on financialisation shows a widespread trend whereby financial capital gains of non-financial corporations increase not only when net incomes do, but also when the latter fall within a context of a major economic crisis and high unemployment rates. The PI (Dr Mark Davis) has worked for the Council of Europe, contributing expertise to the Charter of Shared Social Responsibilities. His recent research on democratic finance shows the importance of money as a public resource that allows for equivalences to be drawn between goods and services of varying types, and the distribution of wealth in contemporary capitalist societies. This project, hosted by one of the foremost centres of Economic Sociology in Europe (The Bauman Institute of the University of Leeds), brings together both approaches in order to conduct innovative research into the analysis of the effects that financial accumulation has on the field of employment. The project will boost the ER’s academic career progression as she aims to become a leading world expert in Economic Sociology. The innovative approach of this project lies in the interdisciplinary viewpoint adopted in the analysis of the causes of unemployment and inequality. The exploration of new money-currency systems allowing for more balanced wealth distribution may have the potential for significant long-term socioeconomic impact.

Keywords: financialisation,money,unemployment,social inequality
Low cost, water Soluble, Injection Moulded polyvinyl alcohol polymer for laundry detergent capsules (SOLIMER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2019-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Demand from laundry detergent retailers to provide biodegradable detergent. The demand from laundry detergent retailers to provide biodegradable detergents in capsule form (‘pods’) which meet the increasingly strict safety and environmental standards has placed enormous pressure on detergent manufacturers. The underlying cause for this change has been the increase in demand from consumers for quick and convenient washing solutions which are less messy, enable proper dosing, are safer to handle and store, and reduce the risk of spills. Current soluble film polymers are price sensitive and expensive due to the high PVOH content, and hence the retail price of laundry pods using these films, especially multicompartmental ones, is high. Our thermo-processable, biodegradable and water-soluble polymer is suitable for all thermo-processing applications, predominantly injection moulding. It utilises a special formulation which incorporates higher sodium chloride (NaCl) and lower PVOH content. This results in a lower price per kg, increases the solubility rate of moulded products using the formulation, stabilises the atmospheric water absorption of the PVOH, and results in a high melt flow. This all contributes to a 40% advancement in process time, thus reducing manufacturing costs. The net result of this polymer development is a dimensionally stable, cost effective, highly soluble polymer now for the first time suitable for laundry unit dose applications. This patented technology is non micro-bead forming contributing to the clean-up of our oceans. Our target market is the detergent packaging subsector of the €336 million water-soluble PVOH film market, of which the consumer segment accounts for nearly 59%. Our concept has been tested, with very encouraging early results of our beta version. Based on the early market interest and end user feedback we have forecast sales of €103.6 million and a return on investment of 1476% over the five years following commercialisation.

Keywords: polymer,water soluble,polyvinyl alcohol,detergent
Mini Launch Lock devices for small satellites (MiniLLock)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-05-01
End date: 2022-07-31
Duration (months): 27.0
Total project cost (EUR): 2413543.75
EU funding (EUR): 1689480.63
Participants: 1
Project status: CLOSED

Space industry is experiencing the most important paradigm shift in its history with the rise of small satellites and megaconstellations. Satellite miniaturization requires to reduce significantly production and orbit launching costs. To address the new challenge of this manufacturing process and switch from craftsmanship to industrialization, space industry is turning towards other domains looking for new solutions, disruptive technologies, and manufacturing process. Mini Launch Lock devices for small satellites (MiniLLock) proposes innovative actuators on the cutting edge of customer demand. They offer plug and play solutions that can directly be integrated into industry for satellites robotized production. MiniLLock is smaller, lighter, safer, with a longer lifetime and generates significantly less shocks and vibrations than standard actuators such as electromagnet and pyrotechnics. MiniLLock offers performances which have never been reached with any other materials. Nimesis is the only company that can provide such cost-effective actuators suitable to small satellite with high performances and reliability, enabling features previously impossible. MiniLLock will accelerate and leverage the commercialization of Nimesis technology and ensure Europe worldwide leadership and independence in the new space emergent environment. Nimesis ambitions to become the global leader of this domain with a turnover of € 26 million and a market share of 28% in 2027.

Keywords: newspace,smallsat,space mechanisms,launch lock devices,high,temperature actuators,shape memory alloys,cualni,miniaturized,simple,cost effective