Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Giving focus to the Cultural, Scientific and Social Dimension of EU – CELAC Relations (EULAC Focus)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Research and Innovation actions
Countries involved: Argentina,Ecuador,Germany,Spain,Italy,Austria,Germany,Spain,Jamaica,France,Czechia,Netherlands,Chile,Peru,Brazil,Mexico,Guatemala
Call: The cultural, scientific and social dimension of EU-LAC relations (H2020-INT-SOCIETY-2015, 2015)
Start date: 2016-03-01
End date: 2019-11-30
Duration (months): 45.0
Total project cost (EUR): 2567621.25
EU funding (EUR): 2499652.5
Participants: 21
Project status: CLOSED

EULAC Focus addresses the whole set of topics included in the Call. It delivers a significant contribution to the improvement of EU–CELAC relations through a better understanding of the three dimensions selected by the call: cultural, scientific and social. The main objective is that of “giving focus” to these three dimensions of EU–CELAC relations, with a view to determining synergies and cross-fertilization, as well as identifying asymmetries in bi-lateral and bi-regional relations. Research is focused on areas crucial to explain the current state of relations between EU and LAC, and will be pursued at two levels: a) research activities; b) strategic set of recommendations. In order to guarantee high impact, the research is pursued in six interdisciplinary WPs, organized “matricially”. Three are “horizontal ”: Cross-cutting pathways, Towards a common vision for EU–CELAC and Dissemination and outreach. The other three are “thematic/vertical”: Cultural, Scientific and Social Dimension, and not only intersect the horizontal WPs but also interact between them. To achieve the objectives, the project is organized by the multidisciplinary and well balanced consortium of19 members from 15 counties. The consortium represents a unique group of highly competent and experienced institutions, composed specifically for the purpose of this project,comprising, in both regions, Gov Research Agencies, Research institutes, Universities, University Association, and two International European – LA Organizations active in analytical and policy oriented research and dissemination. EULAC Focus builds upon the outcomes of prior mapping conducted at the bi-regional level and will facilitate access to end-users, as well as feeding into the work of the EU-LAC Foundation and informing bi-regional networking activities of the JIRI and T-AP’s work. The number of partners has been carefully defined to ensure project goals and proper diversity, while allowing for efficient project management.

Keywords: eulac celac social cultural scientific policy jiri
BIM-based holistic tools for Energy-driven Renovation of existing Residences (BIMERR)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies enabling energy-efficient systems and energy-efficient buildings with a low environmental impact
Action type: Research and Innovation actions
Countries involved: Spain,Austria,Italy,Germany,Cyprus,Greece,Greece,Poland,Greece,Belgium,Slovakia,United Kingdom,United Kingdom,United Kingdom
Call: Building information modelling adapted to efficient renovation (RIA) (H2020-NMBP-EEB-2018, 2018)
Start date: 2019-01-01
End date: 2022-09-30
Duration (months): 45.0
Total project cost (EUR): 6933320.01
EU funding (EUR): 6933320.0
Participants: 21
Project status: SIGNED

Building Information Modelling is a critical element in the digitalization of the construction industry, which is necessary in order to unleash huge efficiency and productivity improvements. BIMERR will design and develop a Renovation 4.0 toolkit which will comprise tools to support renovation stakeholders throughout the renovation process of existing buildings, from project conception to delivery. It comprises tools for the automated creation of enhanced building information models, a renovation decision support system to aid the designer in exploring available renovation options through an the accurate estimation of renovation impact on building performance as well as a process management tool that will optimize the design and on-site construction process toward optimal coordination and minimization of renovation time and cost. At the heart of the BIMERR toolkit lies an interoperability framework, which will enforce semantic interoperability among BIMERR tools as well as with third-party legacy ICT tools to enable seamless BIM creation and information exchange among AEC stakeholders in an effort to enhance the rapid adoption of BIM in renovation of the existing EU building stock. The BIMERR toolkit will be validated and demonstrated in 4 buildings in 3 European Member States. Two buildings will be used for pre-validation and implementation refinement and the refined BIMERR toolkit will support the actual renovation design and works in one residential building in Poland and a second one in Spain. The assessment and evaluation of the BIMERR toolkit after these real-life activities will feed material into two supporting horizontal project activities: i) dissemination and exploitation of project outcomes through the creation of best practice examples of BIMERR use that will guide further replication effort, and ii) promotion of BIMERR outcome to the most relevant standardization bodies.

Keywords: building information model,interoperability,energy efficient building renovation,automated scan to bim,workflow modelling,renovation decision support,renovation 4 0
Geometric analysis of sub-Riemannian spaces through interpolation inequalities (GeoSub)

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: Italy,France
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 1171465.0
EU funding (EUR): 1171465.0
Participants: 2
Project status: SIGNED

Sub-Riemannian spaces are geometrical structures that model constrained systems, and constitute a vast generalization of Riemannian geometry. They arise in control theory, harmonic and complex analysis, subelliptic PDEs, geometric measure theory, calculus of variations, optimal transport, and potential analysis. In the last 10 years, a surge of interest in the study of geometric and functional inequalities on sub-Riemannian spaces revealed unexpected behaviours and intriguing phenomena that failed to fit into the classical schemes inspired by Riemannian geometry. In this project, I aim to develop a framework of geometric and functional interpolation inequalities adapted to sub-Riemannian manifolds, and to use this theory to tackle old and new problems concerning the geometric analysis of these structures. The project focuses on the following interconnected topics: (i) the development of a unifying theory of curvature bounds including sub-Riemannian structures, (ii) the study of measure contraction properties of Carnot groups, (iii) applications to isoperimetric-type problems, and (iv) applications to the regularity of the sub-Riemannian heat kernel at the cut locus. The project adopts a unique approach combining methods from geometric control theory, optimal transport and comparison geometry that I developed in recent years, and which already allowed me and my collaborators to obtain important results in the field. The project aims to achieve an ambitious unification program, solve long-standing problems, and explore new research directions in sub-Riemannian geometry, with an impact in several neighbouring areas, including geometric analysis on non-smooth spaces, analysis of hypoelliptic operators, geometric measure theory, spectral geometry. My long-term purpose is to build a leading research group in sub-Riemannian geometry, to significantly advance our understanding of Geometry under non-holonomic constraints.

Keywords: sub riemannian geometry,carnot carath odory spaces,ricci curvature bounds,isoperimetric problems,carnot groups,optimal transport
Biorefineries for the valorisation of macroalgal residual biomass and legume processing by-products to obtain new protein value chains for high-value food and feed applications (ALEHOOP)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Innovation actions
Partnership: BBI (Art-187)
Countries involved: Spain,Spain,Ireland,Spain,Spain,Germany,Germany,Germany,Spain,Spain,Spain,Spain,Belgium,Norway,Czechia
Call: Produce bio-based functional ingredients and additives for high-end markets (H2020-BBI-JTI-2019, 2019)
Start date: 2020-06-01
End date: 2024-05-31
Duration (months): 48.0
Total project cost (EUR): 6718370.0
EU funding (EUR): 5140274.41
Participants: 17
Project status: SIGNED

ALEHOOP provides the demonstration at pilot scale of both sustainable macroalgae and legume-based biorefineries for the recovery of low-cost dietary proteins from alga-based and plant residual biomass and their validation to meet market requirements of consumers and industry in the food and feed sectors. In these sectors, consumers are demanding affordable functional natural proteins from alternative sources and industry is demanding low-cost bio-based protein formulations with better performance and higher sustainability. Current protein demand for the 7.3 billion inhabitants of the world is approximately 202 Mt. Due to the rise in meat consumption more proteins are therefore required for animal feeding. To satisfy the current protein demand, Europe imports over 30 Mt of soy from the Americas each year mainly for animal feeding, entailing 95% dependency of EU on imported soy. Current sources of proteins are becoming unsustainable from an economic and environmental perspective for Europe resulting in concerns for sustainability and food security and leading to search for new alternative proteins. ALEHOOP addresses the obtaining of proteins from green macroalgal blooms, brown seaweed by-products from algae processors and legume processing by-products (peas, lupines, beans and lentils) as alternative protein sources for animal feeding (case of green seaweed) and food applications (case of brown seaweed and legume by-products), since they are low cost and under-exploited biomass that do not compete with traditional food crops for space and resources. This will reduce EU´s dependency on protein imports and contribute to our raw material security. The new proteins will be validated in foods for elderly, sporty and overweight people, vegetarians and healthy consumers as well as for animal feed creating cross-sectorial interconnection between these value chains and supporting the projected business plan.

Keywords: high protein food,protein digestibility,sustainable proteins,alternative proteins,legume by products,macroalgae proteins,farmed fish nutrition,pig feed,poultry feed
The Economics of Ethnic Prejudice (Econ_Prejudice)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: France
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-11-01
End date: 2021-04-30
Duration (months): 66.0
Total project cost (EUR): 1598307.5
EU funding (EUR): 1598307.5
Participants: 1
Project status: CLOSED

Why do ethnic differences matter in some cases and not in others? What determines the strength of ethnic self-identification? This question is central to understanding the consequences of ethnic divisions for conflict and economic development and their policy implications but it was neglected by economic research until now. This project aims at filling this gap by endogenizing ethnic identity. We study how the salience of ethnic differences depends on economic and social context and policies of nation building. Our research program is organized around 3 pillars focusing on social, economic, and political determinants of ethnic tensions, respectively. The first pillar tests social psychology theories of ethnic identity using natural experiments, generated by forced mass movements of ethnic groups in Eastern Europe and from Eastern Europe to Central Asia as a result of WWII. The second pillar studies how market interactions between representatives of different ethnic groups and, in particular, ethnic occupational segregation affects ethnic tensions in the context of historical anti-Jewish violence following agro-climatic income shocks in the 19th and 20th century Eastern Europe. The third pillar focuses on the effects of political manipulation on ethnic conflict in the context of the historical experiment of nation building in Central Asia. It studies how political empowerment of a certain ethnic elite in a multi-ethnic traditional society coupled with a set of nation-building policies affects ethnic conflicts depending on the pre-existing ethnic mix and the distribution of political power among ethnic elites. This research will shed light on factors that make ethnic diversity important for conflict and economic development.

Keywords: ethnic diversity,ethnic conflict,ethnic prejudice,migrations,pogroms,nation building,endogenizing identity
ACTivating InnoVative IoT smart living environments for AGEing well (ACTIVAGE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Spain,Italy,Ireland,Germany,Spain,Italy,Italy,Germany,Spain,Italy,Spain,Italy,Finland,Switzerland,Finland,Finland,Greece,Greece,Greece,Switzerland,Greece,Finland,France,France,France,France,France,France,France,United Kingdom,United Kingdom
Call: Large Scale Pilots (H2020-IOT-2016, 2016)
Start date: 2017-01-01
End date: 2020-09-30
Duration (months): 45.0
Total project cost (EUR): 25202348.72
EU funding (EUR): 19922451.13
Participants: 63
Project status: CLOSED

ACTIVAGE is a European Multi Centric Large Scale Pilot on Smart Living Environments. The main objective is to build the first European IoT ecosystem across 9 Deployment Sites (DS) in seven European countries, reusing and scaling up underlying open and proprietary IoT platforms, technologies and standards, and integrating new interfaces needed to provide interoperability across these heterogeneous platforms, that will enable the deployment and operation at large scale of Active & Healthy Ageing IoT based solutions and services, supporting and extending the independent living of older adults in their living environments, and responding to real needs of caregivers, service providers and public authorities. The project will deliver the ACTIVAGE IoT Ecosystem Suite (AIOTES), a set of Techniques, Tools and Methodologies for interoperability at different layers between heterogeneous IoT Platforms and an Open Framework for providing Semantic Interoperability of IoT Platforms for AHA, addressing trustworthiness, privacy, data protection and security. User-demand driven interoperable IoT-enabled Active & Healthy Ageing solutions will be deployed on top of the AIOTES in every DS, enhancing and scaling up existing services, for the promotion of independent living, the mitigation of frailty, and preservation of quality of life and autonomy. ACTIVAGE will assess the socio-economic impact, the benefits of IoT-based smart living environments in the quality of life and autonomy, and in the sustainability of the health and social care systems, demonstrating the seamless capacity of integration and interoperability of the IoT ecosystem, and validating new business, financial and organizational models for care delivery, ensuring the sustainability after the project end, and disseminating these results to a worldwide audience. The consortium comprises industries, research centres, SMEs, service providers, public authorities encompassing the whole value chain in every Deployment Site.

Keywords: autonomy of older adults,semantic interoperability,functional decline and frailty,iot ecosystems
Swine diseases field diagnostics toolbox (SWINOSTICS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Innovation actions
Countries involved: Spain,Italy,Italy,Italy,Italy,Cyprus,Greece,Hungary,Poland
Call: Validation of diagnostic tools for animal and plant health (H2020-SFS-2017-1, 2017)
Start date: 2017-11-01
End date: 2021-10-31
Duration (months): 48.0
Total project cost (EUR): 3454965.0
EU funding (EUR): 2993425.5
Participants: 10
Project status: CLOSED

The increased population density in modern animal production systems has made them vulnerable to various transboundary infectious agents & diseases. During the last decades in the developed world, a reduction in the direct burden of livestock diseases has been observed, because of more effective drugs & vaccines. However, the total impact may actually be increasing, because in a highly-interconnected world, the effects of diseases extend far beyond animal sickness & mortality. Therefore, early diagnosis and establishment of reliable countermeasures to infectious disease outbreaks is essential to limit severe biophysical and socio-economic consequences. To date, the time between initial disease outbreak and laboratory confirmation of the etiologic infectious agent can be up to several weeks. Reliable & simple diagnostic testing directly on site would enable rapid local decision making, which is crucial to prevent further spreading of the disease. Silicon-based Photonic Integrated Circuits (PIC) have been demonstrated as a powerful platform for biosensing systems. In combination with integrated monoclonal antibodies, they can provide portable multiplex detection of proteins with sensitivity & specificity previously not realized. SWINOSTICS addresses the sector needs, by developing a novel field diagnostic device, based on advanced, proven, bio-sensing technologies to tackle viruses causing epidemics in swine farms and leading to relevant economic damages, complying to the objectives of the STAR-IDAZ. The diagnostic device will allow threat assessment at the farm level, with the analytical quality of commercial laboratories. The device will be developed for a panel of 6 important swine diseases. The device will be portable & will provide results in 10 minutes for 5 samples simultaneously, making it highly suitable for field use. It is based on 3 lab-verified concepts: a) PIC technology, b) Label-free optical detection, c) patented nano-deposition technology.

Keywords: swine diagnostics,biosensors,photonics,pcv2,prrs
A new road status information system for a smarter mobility thanks to an effective and sustainable winter Road Maintenance (KLIMATOR RSI)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Sweden
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-08-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Private cars account for 73% of the passenger traffic in the EU, and 44% of all goods in the EU are transported by road. Therefore, proper road maintenance is crucial to ensure traffic flow and safety for all road users. Especially during winter, adverse weather conditions are the primary cause in many road accidents. Currently, road maintenance contractors take decisions on their interventions mostly based on their experience and low-resolution data from meteorological forecasts and stationary weather stations, resulting in inefficient resource management and excessive application of salt/de-icing chemicals. High-quality data to accurately assess and forecast road status during winter conditions can help to increase the operational efficiency and reduce the environmental impact of winter services. Klimator-RSI addresses this challenge by bringing into the market a disruptive tool to monitor road status and assist decision-making in winter services based. The novelty of Klimator-RSI relies on the establishment of our own mobile sensor infrastructure to collect continuous and accurate road status data over large geographic areas, and to provide detailed information about friction and road surface properties. In addition, the collected data is integrated with “traditional” road weather data from RWIS stations and meteorological forecasts, and then processed in our unique climate model and interpreter. Although our service primarily aims to serve road authorities & maintenance, the data can also improve traffic flow and safety for road users. Klimator-RSI has already been successfully tested in operational environment in Sweden showing that costs of winter road maintenance can be reduced by 20-30%. We foresee a potential accumulated revenue for the period 2020-2022 of up to €4.7 M, and the creation of 12 new job positions in our company.

Keywords: winter road maintenance,road status monitoring,climate model,road safety
Improved Over-The-Counter (OTC) Market Integrity and Privacy via cryptographic proofs of computational integrity (OMIP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Israel
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-09-01
End date: 2018-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Over-The-Counter (OTC) trading is trading done directly between two parties, without supervision of an exchange. Traders in OTC markets face several types of counterparty risk (Default, Replacement, Settlement and Liquidity). The technology developed by the PI's ERC-funded research will be applied to solve two basic problems: How to preserve the privacy and anonymity of traders involved in decentralized OTC trading, while improving accountability and transparency. The objective is the creation of a decentralized peer to peer network in which asset ownership can be settled cryptographically with little cost and latency. The system will allow traders to (1) prove ownership of assets, (2) transfer ownership between two trading parties in an efficient, secure, and timely manner. Achieving this will help traders comply with new financial regulations (such as the Dodd-Frank Act) regarding OTC markets, and reduce (1) market inefficiencies, (2) counterparty risk, and (3) settlement and clearing latencies and costs.

Keywords: cryptography,probabilistically checkable proofs,zero knowledge proofs,financial markets,derivative markets