Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Telemetric control of oxygen delivery for therapy optimization and adherence (CryO2)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Italy
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2017-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

One million patients receive long-term oxygen therapy (LTOT) in the USA and 600,000 in EU with an estimated cost of €4 billion/year, rising 13% annually due to hospitalization and disease exacerbation for poor therapy adherence. Health care service providers try to increase their home-base services increasing personal visits to patients,and pneumologists try to closely follow-up patient#39;s therapy and disease evolution by telephone call. However, present solutions do not offer an integral solution able to remotely control every facet of patient#39;s management processes such as vital signs monitoring, automatic regulation of O2 flow from tanks and, telemetric therapy adherence. In WSN4LIFE, we have a 13-years valuable experience in medical device and telemedicine services and wireless sensor integration. Our innovative CRYO2 product will be offered to O2 source device sector as device and to health care service providers as telemedicine service. It will transform LTOT management, reducing distress for patients, reducing 20% hospitalization costs because of prevention in disease exacerbation and reducing by 30% the O2 consumption.Our TRL-6 prototype has been intensively tested to be readily upgraded in O2 tanks central unit. During the Phase 1 we intend to study its implementation by potentiating algorithm integration, sensors and central processing unit component miniaturization and finalizing test for remote O2 flux regulation. This will set the basis for a Phase 2 project development and launch a full commercial version by Q4 2018.We envisage CRYO2 being a great global business opportunity because no others solution offer our grade of vital sign integration and remote control. We estimate a 30k units sold and 18k service provided,a €5.4Million revenue and a ROI of 3.72 by 2023. CRYO2 will strengthen the global position of European medical device industry for oxygen therapy management and foster the home-based health care service provision for patients worldwide

Keywords: intelligent medical devices,remote medical monitoring,smart o2 flux regulation,health risk management,long term oxygen management
Asset Prices and Macro Policy when Agents Learn and are Heterogeneous (APMPAL-HET)

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: Spain
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-09-01
End date: 2024-02-29
Duration (months): 66.0
Total project cost (EUR): 1524144.0
EU funding (EUR): 889978.01
Participants: 2
Project status: SIGNED

Based on the APMPAL (ERC) project we continue to develop the frameworks of internal rationality (IR) and optimal signal extraction (OSE). Under IR investors/consumers behave rationally given their subjective beliefs about prices, these beliefs are compatible with data. Under OSE the government has partial information, it knows how policy influences observed variables and signal extraction. We develop further the foundations of IR and OSE with an emphasis on heterogeneous agents. We study sovereign bond crisis and heterogeneity of beliefs in asset pricing models under IR, using survey data on expectations. Under IR the assets’ stochastic discount factor depends on the agents’ decision function and beliefs; this modifies some key asset pricing results. We extend OSE to models with state variables, forward-looking constraints and heterogeneity. Under IR agents’ prior beliefs determine the effects of a policy reform. If the government does not observe prior beliefs it has partial information, thus OSE should be used to analyse policy reforms under IR. If IR heterogeneous workers forecast their productivity either from their own wage or their neighbours’ in a network, low current wages discourage search and human capital accumulation, leading to low productivity. This can explain low development of a country or social exclusion of a group. Worker subsidies redistribute wealth and can increase productivity if they “teach” agents to exit a low-wage state. We build DSGE models under IR for prediction and policy analysis. We develop time-series tools for predicting macro and asset market variables, using information available to the analyst, and we introduce non-linearities and survey expectations using insights from models under IR. We study how IR and OSE change the view on macro policy issues such as tax smoothing, debt management, Taylor rule, level of inflation, fiscal/monetary policy coordination, factor taxation or redistribution.

Keywords: heterogeneous agents,asset pricing,fiscal policy,monetary policy,subjective investor expectations,inequality
Postcolonial Diplomacy and the Public Culture of Sport: Britain and India, 1946-1996 (SPORTDIPL)

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-2018, 2018)
Start date: 2019-10-01
End date: 2021-09-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The project seeks to examine the importance of sport to the cultural politics of postcolonial international relations in the second half of the twentieth century through a case study of Indo-British sporting relations. Since the mid-Victorian era, competitive sport has been a tool of diplomacy and cultural imperialism within the British Empire. The significance of sporting relations increased after the Second World War as Britain sought to maintain close ties with its former colonies and dominions, especially through the game of cricket and events like the Olympic and Empire Games (later renamed as Commonwealth Games). This project intends to explore the organisation and the public's response to sport between England (Britain for some sports) and India in bilateral and multinational tournaments as a specific form of diplomatic and cultural encounter between the two countries. Two of its main objectives are to examine: (i) what the synergy between national governments and non-state actors such as sport associations reveals about sport as a tool of public diplomacy; (ii) the extent to which the British and India media produced colonial hierarchies of race, ethnicity, gender and class in their representation of sportspersons and spectators; and (iii) how nationalism and national identity was mobilised as a postcolonial strategy of building spectator support for sport teams. It will draw upon archival sources from the UK and India related to cricket, hockey, tennis, badminton, and the Olympic and Commonwealth Games.
Democratized Financial Services (DFS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

BlockState is proposing efficient, transparent and compliant democratized financial services for the financial market using Blockchain technology. DFS is translated through the following innovative products which are driven by decentral IT solutions and connected together via a technology stack: CRYPTO15 (crypto index products), DETI (tokenized debt instrument) and DECEND (a platform for smart contracts for illiquid derivatives). BlockState will be approaching exchange-traded funds, the bonds market, and the derivates market, all of which have experienced continuous growth, both in the EU and worldwide. End-users of the solution are private and institutional investors, to which DFS offers an efficient way to safely track top crypto assets (through CRYPTO15 CTF Token and CTF ETN), banks and other lenders, for which it supports syndicated loan facility from origination to payoff (through the DETI platform), and financial institutions, which are enabled by DFS to buy and sell derivatives on the blockchain (through the DECEND platform). BlockState is creating the technological and legal infrastructure for the future of investment banking, through a comprehensive set of investment banking modules based on Blockchain technology; our products are more efficient than the current products creating cost savings, more transparent than the current products reducing risk and fully compliant with the regulatory body and easily accessible. BlockState is a new generation of fintech, offering investment banking on a modular platform build on Blockchain technology. The company is building the world’s leading blockchain investment bank, specializing on DLT- based products for asset management, debt capital markers (DCM), and derivatives. BlockState’s products embody technological excellence, highest regulatory compliance, and over 70 years of combined experience in financial services.

Keywords: distributed ledger technology,investment banking,dlt based products,crypto exposure,bonds and loans,derivatives,ctf token,ctf etn,illiquid otc derivatives,smart contracts,crypto assets
Quantum-Statistical Methods for Nuclear Singlet States in Complex Fluids (QUNS)

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: Finland
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-03-14
End date: 2018-03-13
Duration (months): 24.0
Total project cost (EUR): 179325.6
EU funding (EUR): 179325.6
Participants: 1
Project status: CLOSED

Nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) are supremely important techniques with widespread applications in chemistry, physics and medicine. NMR methodology has until recently been limited by the time constant T1 for the decay of nuclear spin magnetization back to thermal equilibrium. Long-lived nuclear singlet states (LLS) have been shown to overcome this limit with a decay constant TLLS that may be two orders of magnitude longer than T1. However, so far mostly ideal systems have been studied in the LLS context, involving simple solvents and oxygen and other paramagnetic molecules removed. This is far from the conditions in many potential applications of MRI and/or materials research, and it is not clear how LLS performs in environments such as complex fluids or biological matter. To overcome this limitation, the proposed project is to develop state-of-the-art quantum-statistical simulation methodology toolbox to model TLLS in complex fluids (lipid/water phases). The project builds on the experience of the research fellow in LLS and computational engineering combined with quantum-chemical, molecular simulation, and experimental expertise of the host institution. Methodology for the essential but challenging quadrupole and paramagnetic spin relaxation enhancement will be developed for LLS. Machine learning techniques will overcome the excessive computational burden of very many quantum-chemical calculations needed in conventional computational relaxation studies.The simulated TLLS will provide a general understanding of the applicability of LLS at the microscopic level, for colloidal systems. The theoretical understanding will guide the development of LLS in materials research and MRI. Machine learning development will feed into the quantum chemistry studies of NMR and other molecular properties in complex systems, as well as computational engineering.

Keywords: quantum chemistry,nuclear magnetic resonance,stochastic liouville equation,machine learning,surrogate model,colloid
DOWN2EARTH: Translation of climate information into multilevel decision support for social adaptation, policy development, and resilience to water scarcity in the Horn of Africa Drylands (DOWN2EARTH)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Research and Innovation actions
Countries involved: Germany,Ethiopia,Italy,Germany,Belgium,Netherlands,United Kingdom,Kenya,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Human dynamics of climate change (H2020-LC-CLA-2019-2, 2019)
Start date: 2020-09-01
End date: 2025-02-28
Duration (months): 54.0
Total project cost (EUR): 6645663.5
EU funding (EUR): 6645663.5
Participants: 16
Project status: SIGNED

Prolonged periods of extreme water scarcity induced by drought are detrimental to regional economies through crop and livestock loss, threatening food security in rural communities, and making politically unstable regions more vulnerable to conflict, terrorism, and mass migration. The rural communities of the Horn of Africa Drylands (HAD) are extremely vulnerable to food insecurity and associated economic losses during drought conditions due to low socio-economic levels and low adaptive capacity to climatic shocks, such that frequent and more severe droughts in HAD have dramatically reduced soil moisture and affecting drinking water reserves, leading to increased food insecurity, livestock loss, and major water shortages. DOWN2EARTH is composed of a multidisciplinary project team that will deliver state-of-the-art and community relevant climate services that focus on water scarcity and its consequences at or near the Earth’s surface (hence DOWN2EARTH) to increasingly vulnerable agro-pastoral populations in HAD. The project is designed to bolster existing climate services frameworks, improve decision support to governments and NGOs in the most vulnerable HAD countries (Kenya, Somalia, Ethiopia), and to improve community-centric adaptation and resilience to climate change. The project will: assess the socio-economic dimensions and human dynamics of climate change including feedbacks between climatic shocks, human behavior, and policy implementation; characterize historical trends and future projections of water scarcity, food insecurity, population, and land use; develop and enhance multi-level decision-support tools that emphasize the translation of climate information into critical land and water information required for adaptation and resilience by end users and state/regional governments; and strengthen regional climate services through capacity building, citizen science, information dissemination, expansion of data networks, and policy implementation.

Keywords: agro pastoralists,water resources,hydrology,food security,citizen science,international development,groundwater
illuMINEation --- Bright concepts for a safe and sustainable digital mining future (illuMINEation)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Research and Innovation actions
Countries involved: Spain,Austria,Austria,Austria,Germany,Spain,Spain,Spain,Austria,Sweden,Switzerland,Finland,Poland,Poland,Poland,Sweden,Sweden,Sweden,Poland
Call: New solutions for the sustainable production of raw materials (H2020-SC5-2019-2, 2019)
Start date: 2020-09-01
End date: 2024-02-29
Duration (months): 42.0
Total project cost (EUR): 8863685.0
EU funding (EUR): 8863685.0
Participants: 22
Project status: SIGNED

The (European) mining industry is under great pressure due to a number of reasons, e.g. high number of injuries/fatalities and environmental accidents, bad reputation, low commodity prices, depleting resources and decreasing ore grades, etc. The only way to overcome these challenges is to completely “rethink” the process of traditional mining via progressively digitising mining operations and introducing ground-breaking innovations (e.g. remote controlled robots, autonomous drones, novel sensor systems, etc.), accompanied by the extensive use of data analytics and new forms of Industrial Internet of Things (IIoT). illuMINEation will illuminate important digitalization aspects in underground mining operations in order to achieve the next level of safety, environment and economic performance, and to retain and gain a social licence to operate. The project will develop a robust multi-level distributed IIoT platform (including cloud computing & distributed cloud management) that connects via wireless communication with the physical mining world, defined by massively installed low-cost all-embracing sensor networks. Advanced analytical algorithms will support the implementation of powerful, sophisticated automated control systems. Mobile user interfaces, dashboards, augmented and virtual reality as well as digital twins will be utilised for data visualisation and operational control. illuMINEation will ensure that all mining personnel receive the best possible information that the enormous amount of data has to offer, whilst ensuring all data is properly protected via a rigorous cyber security approach. The illuMINEation consortium provides the necessary resources and comprehensive skills and capabilities to operate across organizational boundaries with the aim to bring together the different parts of the entire digital mining business value chain and create cross-industry innovations.

Keywords: wireless sensor networks,predictive maintenance,additive manufacturing,drones,occupational health and safety,digital skills and capabilities,virtual reality,augmented reality
High-performance low-cost modules with excellent environmental profiles for a competitive EU PV manufacturing industry (HighLite)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Innovation actions
Countries involved: Italy,Germany,Germany,Germany,Germany,Germany,Switzerland,Slovenia,Belgium,Switzerland,Belgium,Finland,Lithuania,Belgium,France,France,France,Netherlands
Call: Increase the competitiveness of the EU PV manufacturing industry (H2020-LC-SC3-2019-RES-IA-CSA, 2019)
Start date: 2019-10-01
End date: 2023-03-31
Duration (months): 42.0
Total project cost (EUR): 15087603.61
EU funding (EUR): 12870478.25
Participants: 19
Project status: SIGNED

The HighLite project aims to substantially improve the competitiveness of the EU PV manufacturing industry by developing knowledge-based manufacturing solutions for high-performance low-cost modules with excellent environnment profiles (low CO2 footprint, enhanced durability, improved recyclability). To achieve this, the HighLite project focuses on thin (down to 100 µm) high-efficiency crystalline silicon solar cells with passivating contacts and capitalizes on the learnings from previous large funded projects. In HighLite, a unique consortium of experienced industrial actors and leading institutes will work collectively to develop, optimize, and bring to high technology readiness levels (TRL 6-7) innovative solutions at both cell and module levels. In practice, HighLite will demonstrate high-efficiency ¼ size (or smaller) cut solar cells (silicon heterojunction cells with efficiency η ≥ 23.3%, interdigated back-contact cells with η ≥ 24.3%; only 0.2% less than full size cells) in pilot-line manufacturing. Industrial tools will be developed in the project for assembling these cut-cells into high-efficiency modules tailored for various distributed generation (DG) applications. More specifically, the following developments will take place: (1) building-applied PV modules with η ≥ 22% and a carbon footprint ≤ 250 kg-eq.CO2/kWp, (2) building-integrated PV modules with η ≥ 21% and improved shading tolerance, and (3) 3D-curved vehicle-integrated PV modules with η ≥ 20% and a weight ≤ 5 kg/m2. Finally, HighLite aims to show improved cost and performance (both through indoor testing and outdoor demonstrators) against state-of-the-art commercially available modules. Altogether, it is expected that the solutions developed in HighLite will: (1) create more demand in Europe and worldwide for such DG products, (2) significantly improve the competitiveness of industrial actors that are part of the consortium, and (3) trigger significant investment in the EU PV industry.

Keywords: c si,shingle,module,rooftop,bipv,vipv,lcoe,industry
Securing Critical Energy Infrastructures SUCCESS - Securing Critical Energy Infrastructures (SUCCESS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Research and Innovation actions
Countries involved: Germany,Ireland,Italy,Italy,Italy,Italy,Italy,Germany,Romania,Belgium,Sweden,Finland,Greece,Romania,Netherlands
Call: Critical Infrastructure Protection topic 1: Critical Infrastructure “smart grid” protection and resilience under “smart meters” threats (H2020-DRS-2015, 2015)
Start date: 2016-05-01
End date: 2018-10-31
Duration (months): 30.0
Total project cost (EUR): 4999946.25
EU funding (EUR): 4999946.25
Participants: 21
Project status: CLOSED

Living in a safe and secure society is a fundamental human need. The security of critical infrastructures must be maintained so that supplies of power, water or other resources are secured. Modern critical infrastructures are increasingly complex and they are turning into Cyber-Physical Infrastructures because ICT is growing in importance in infrastructure management. The SUCCESS project will develop an overarching approach to threat and countermeasure analysis with special focus on the vulnerabilities introduced by Smart Meters. The main challenge is to create the conditions in Europe for the future energy system to be as reliable as todays. Starting from a security by design approach and placing resiliency and survivability in focus, a new joint design of Energy Infrastructure and ICT is proposed. Following on the research results, an implementation approach is pursued based on the definition of a New-generation Open Real-time smart Meter (NORM) as a key building block. NORM aims to secure the end nodes of the energy system while providing innovative services in a customer centric grid. At systems level, a cloud-approach, based on double virtualization, is proposed. SUCCESS will provide concrete guidelines to support the design of energy systems and linked communications networks to guide short, medium and long term initiatives. Countermeasures will include specifications and open source software for Next Generation Open Real time smart Meters and Security Monitoring Centres at DSO and Pan-European levels, secure communications solutions using NFV, LTE and 5G technologies complemented by data privacy studies to ensure the acceptability of the results by consumers. Trials will be run in Ireland, Italy and Romania. As a result, new business opportunities for energy providers, SME’s and start-ups will generate economic growth in the energy and ICT sectors. SUCCESS combines the dedicated work of leading research and commercial organisations in these sectors.

Keywords: security monitoring centres,open real time meters,survivability,resilience