Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Extended Public-Private Partnership for Investment in Smart Energy Efficiency Projects in a Social Housing context (SUPER-i)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Italy,Italy,Italy,Spain,Italy,Belgium,Slovenia,United Kingdom,Denmark,Denmark,United Kingdom,United Kingdom
Call: Financing for energy efficiency investments - Smart Finance for Smart Buildings (H2020-LC-SC3-EE-2020-2, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 1497820.0
EU funding (EUR): 1497820.0
Participants: 13
Project status: SIGNED

An important component of a more socially and economically inclusive urban transition is the ability of the cities to implement energy efficiency and renewable energy (RES) projects and initiatives, especially in the housing sector. Despite the progress already made, the large-scale impact that was expected towards promoting energy efficiency is still far off from being fully achieved. The SUPER-i project will provide a significant contribution to generating investments and collecting data on energy efficiency in the social housing sector. Energy efficiency (EE) renovations of social housing can generate a significant social impact by reducing energy poverty. The objectives and impacts of the SUPER-i project will assist and support the European Commission to implement the European Green Deal. The general objective of SUPER-i is to support the funding of EE refurbishment of social housing stocks across Europe while increasing the share of renewable energy in the final energy consumption through the following specific eight objectives: 1) Tailored ePPPs (EE Public Private Partnerships) and roadmaps; 2) Capacity building among financial investors; 3) Data gathering and processing; 4) Integration of EE investments within portfolio management strategies; 5) SUPER-i KPIs; 6) Awareness and Replicability; 7) SUPER-i investment pipelines; 8) SUPER-i Roadmap and Platform. The SUPER-i project will contribute to generate substantial investments in energy efficiency within the social housing sector in two folds: 1) by establishing a direct dialogue, at local government level, between financial institutions, other private investors and social housing managers while also involving ESCOs (Energy Service Companies); 2) by collecting relevant data on EE investments, helping to develop efficient financial schemes. The direct dialogue and data collection will be pivotal to effectively boost the development of energy efficiency PPPs.

Keywords: investment pipelines,energy poverty,innovative financial schemes,ppps,social housing,eu green deal
SustainAble Farming for Effective Aquaculture (SAFE-Aqua)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain,Thailand,France,Netherlands,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-01-01
End date: 2020-12-31
Duration (months): 48.0
Total project cost (EUR): 900000.0
EU funding (EUR): 900000.0
Participants: 5
Project status: CLOSED

Aquaculture is an important food source for the world’s growing population. The increasing demand and productivity of aquaculture leads to global trade in breeding stock, genetic material and aquaculture products for human consumption, but also exacerbates the globalization of pathogens.SAFE-Aqua, an international inter- and multidisciplinary consortium, aims to provide scientific solutions to solve disease-related issues in aquaculture using shrimp as a model through research and innovation staff exchange and sharing of knowledge and ideas from research to market. SAFE-Aqua will explore the benefits of developed feed additives on keeping a healthy gut microbial balance, enhancing immune-capacity, and maintaining nutritional integrity of shrimp as a product. To assess these beneficial effects, SAFE-Aqua will synergize the cutting-edge technology platforms, multidisciplinary and complementary expertise, as well as infrastructure from networks of the partnership among the leading research institutes in France, UK and Thailand and a synthetic biology company in Spain. The outcomes of SAFE-Aqua will undoubtedly help improve competitiveness of EU aquaculture industry whose growth has been relatively constant since year 2000 compared to aquaculture production worldwide. Moreover, we strongly believe that SAFE-Aqua will promote international and inter-sector collaboration through research and innovation staff exchanges and sharing of knowledge and ideas from research to market. The use of cutting-edge innovative technologies will allow to researchers to develop new skill sets helping them to develop their carreers in the best way. In addition administrative staff implicated in the project management will also greatly benefit from the knowledge exchange and build further collaborations.

Keywords: aquaculture,shrimp,gut microbiota,prebiotics,probiotics,genome sequencing,metabolomics,interactomics,innate immunity
Global social work and human mobility: comparative studies on local government and good social work practices in the euro-mediterranean region (Global-ANSWER)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Spain,Spain,Spain,Spain,Italy,Italy,Italy,Italy,Spain,Sweden,Sweden
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2019, 2019)
Start date: 2020-03-01
End date: 2025-12-31
Duration (months): 70.0
Total project cost (EUR): 1518000.0
EU funding (EUR): 1518000.0
Participants: 15
Project status: SIGNED

This project main objective is to consolidate an international and inter-sectorial network of comparative and collaborative research and training on the identification, analysis and dissemination of good practices in the field of social work and human mobility in the European countries involved in the project, including universities, local town halls and third sector organizations. The reception and socioeconomic inclusion of migrants and refugees are key issues for contemporary Europe, particularly in the Euro-Mediterranean region, where the magnitude of new arrivals arouse great human rights concern. Social work professionals are in the front line of this challenge, playing a key role in local government responses and professional practices for the reception and inclusion of newcomers. Experienced qualitative methodological approach used in migration studies and related to social work will be utilized mainly. The participants of this project will exchange skills and knowledge which will allow them to progress towards key advances in the identification, transfer and promotion of good practices on local government and social work interventions with migrants, refugees, asylum seekers and other groups in conditions of vulnerability as a result of human mobility (non-accompanied children and youth, the elderly, victims of human trafficking, the disabled, transnational families, victims of ethnic, religious and sexual orientation discrimination, etc). The methodological approach will combine secondments of senior and junior researchers and social work professionals, the implementation of comparative research, training workshops and activities to disseminate knowledge and promote good social work practice, such as international conferences, the elaboration of guidelines and the production of publications in national and international journals, including special issues focused on the good social work practices identified during the project

Keywords: comparatives studies,global social work,local government,good practices,euro mediterranean region,human mobility,migration,reception and socioeconomic inclusion,social workers interventions
modelling and pRedicting Human decision-making Using Measures of subconscious Brain processes through mixed reality interfaces and biOmetric signals (RHUMBO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: Austria,Germany,Spain,Italy,Austria,Netherlands,Denmark,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-11-01
End date: 2023-04-30
Duration (months): 54.0
Total project cost (EUR): 2904216.23
EU funding (EUR): 2904216.23
Participants: 10
Project status: SIGNED

Recent breakthroughs in neuroeconomics are helping to understand how the human decision-making process takes place. Although latest advances have revealed that most of the brain processes that regulate our emotions, attitudes and decisions are beyond our consciousness (implicit processes), many companies are still making strategic decisions relying upon explicit measures such as questionnaires and focus groups. However, the consumer neuroscience market is rapidly growing and demands new knowledge, new skills and new approaches to adapt to the technological evolution of the sector but also for comprehending and communicating with consumers. These requests only find a partial match in existing doctoral programmes. RHUMBO addresses this challenge by delivering an innovative multinational, multi-sectorial, and multidisciplinary research and training programme in cognitive neuroscience, transparently immersive experiences and artificial intelligence with a focus on neuro-business. From the research point of view, RHUMBO will produce tools and models to predict human decision-making in business environments. RHUMBO will use mixed reality technologies (MRT) together with different biometric signals (fMRI, fNIRS, eye tracking, EEG, etc.), supported by artificial intelligence processing techniques, to examine consumer behavioural patterns during dynamic, complex and realistic situations for a deeper understanding of internal consumer psychological states. With this purpose, RHUMBO’s partnership aggregates relevant scientific staff from the academic and corporate worlds which will be involved in a high-level personalised training programme that will guarantee ESRs and future PhD students outstanding Career Opportunities in the consumer behaviour sector and beyond. RHUMBO will disseminate results to a wide spectrum of stakeholders, create awareness in the general public about neuroscience and encourage neuroscience vocational careers among young students.

Keywords: neuro business,decision making,mixed reality technologies,biometric signals,consumer behaviour,machine learning
Financial Information, Data Abundance, and Investment (FIDAI)

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: France
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-07-01
End date: 2026-06-30
Duration (months): 60.0
Total project cost (EUR): 1098700.0
EU funding (EUR): 1098700.0
Participants: 1
Project status: SIGNED

Thierry Foucault ERC ADG 2020 Recent years have witnessed a massive growth in the volume and variety of data ("Data Abundance"). In parallel, thanks to progress in computing power, new techniques (“Artificial Intelligence”) have emerged to harness the information in these data. How does this evolution affect the quality and nature of information produced in financial markets? Is there a risk that it induces investors to trade on noisier signals about economic fundamentals? How does it change the horizon at which information is produced? How does it affect the signal-to-noise ratio in securities prices and capital allocation? This project will break new ground on these unanswered, yet fundamental, questions using a combination of analytical and empirical analyses. First, I will develop a theory of optimal data mining to disentangle the effect of Data Abundance (DA) from the effect of Artificial Intelligence (AI) on the quality of predictors used by investors. I will then (i) use this theory to make predictions about the effects of AI and DA on the average quality of investors’ predictors, the dispersion of this quality across investors, and the informativeness of securities prices about economic fundamentals and (ii) test some of these predictions. Second, I will study theoretically and empirically (i) the effects of DA and AI on agents’ allocation of their resources for information production between two tasks: forecasting short-term cash-flows and forecasting long-term cash-flows and (ii) the consequence of these effects for the maturity of corporate investments. In particular, I will focus on whether there is a risk that DA and AI make securities prices more informative about conventional investment projects (whose cash-flows are realized quickly) rather than innovative investment projects (whose cash-flows are realized more slowly), thereby reducing capital available for innovation.

Keywords: data abundance,artificial intelligence,information acquisition,price informativeness,corporate investment
Design of a Deep Full Event Interpretation for LHCb and application in semitauonic B decays (LHCbDFEI)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

The LHCb experiment has shown an excellent performance in precision measurements of beauty- and charm-hadron decays during the LHC runs 1 and 2. Now, it is undertaking its first major upgrade, to face the challenges of a large increase in instantaneous luminosity, that implies augmented event complexity and background levels. This impacts the trigger, which needs to quickly and efficiently identify signals, while facing limits on the disk storage capacity. The proposed project aims at fighting these limitations in a new way for LHCb: performing a Deep Full Event Interpretation (DFEI) during trigger, where a deep neural network processes the low-level information from the detector and infers the heavy-hadron decays that occurred in the event. This allows to quickly identify different types of background and provides enhanced information on the mother particles. As a first application of DFEI, the first angular analysis of semitauonic decays at LHCb is proposed. Semitauonic decays are partially reconstructed in LHCb, due to the presence of neutrinos in the final state. This leads to high levels of backgrounds, hard to separate from the signal, which makes them a perfect validation bench for the power of DFEI. From a physics perspective, the recently-observed flavour anomalies defy the concept of Lepton Universality of the Standard Model (SM), and point towards potential beyond-the-SM effects in semitauonic B decays. The complementary aim of this project is to perform the first LHCb angular analysis of both B0 -> D+ tau- nu and B0 -> D*+ tau- nu decays, where D*+ -> D+ pi0 and tau- -> mu- nu nu. This analysis will provide crucial information to discriminate between different new models proposed to explain the anomalies. The ambitious projects in this proposal are solidly based on my experience with semitauonic decays, angular analyses and the creation of new software tools, as well as the broad experience of the host group in event reconstruction and data analysis.

Keywords: event reconstruction,lhcb,deep learning,real time analysis,trigger,b physics,flavour anomalies,lepton flavour universality,semileptonic decays,tau lepton,angular analysis,new physics
Enhancing the Innovation Management Capacity of SMEs in Bavaria (InnoBavaria)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Germany,Germany
Call: INNOSUP (H2020-Adhoc-2014-20, 2014)
Start date: 2014-09-01
End date: 2014-12-31
Duration (months): 4.0
Total project cost (EUR): 170625.0
EU funding (EUR): 136500.0
Participants: 2
Project status: CLOSED

Overall objective of this proposed project is to contribute to smart growth in the European Union by increasing the efficiency and effectiveness of investments in research, development and innovation (both private or public), and by contributing to a better and more efficient connection of actors along the value chain. Specifically, this proposal will contribute to increase the efficiency and effectiveness of innovation projects in SMEs in the region of Bavaria. This will be achieved by the delivery of well-defined services packages to the SMEs, targeting specifically the enhancement of their innovation management capacity and the removal of potential innovation gaps and bottlenecks. Target groups of the service packages will be 1. SME beneficiaries in Bavaria participating in Phase 1 and/or Phase 2 of the Horizon 2020 SME Instrument (“Key Account Management”) 2. Other internationally oriented SMEs in Bavaria with strong ambitions in innovation and growth (“Enhancing SME Innovation Management Capacity”) ‘Innovation management’, as addressed by this project comprises a company’s complete innovation process from idea generation to innovation result. It includes internal enabling factors like leadership, management skills, financial situation, market knowledge etc, as well as external cooperation with third parties like suppliers, R&D partners, potential clients, and investors. This understanding of innovation management follows the specifications of innovation management systems provided by the European Committee for Standardisation in CEN/TS 16555-1.

Keywords: innovation management,key account management
Energy innovative food process for production of high quality frozen foods (COLDmicroWAVE)

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: Information Science and Engineering
Countries involved: Sweden
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-05-01
End date: 2017-04-30
Duration (months): 24.0
Total project cost (EUR): 173857.2
EU funding (EUR): 173857.2
Participants: 1
Project status: CLOSED

COLDµWAVE aims to improve the research skills of Epameinondas Xanthakis by developing an innovative environmentally sustainable process for blanching and freezing vegetables with improved textural and nutritional quality at SP -Technical Research Institute of Sweden. The study which will be carried out will involve the use of microwave electromagnetic irradiation (MW) for blanching and freezing of vegetables. COLDµWAVE will develop tailored equipment for MW blanching of vegetables that has very high energy efficiency and no water consumption. Furthermore, this project will develop innovative pathways in freezing to improve the quality of frozen vegetables by exploring, in a new context, previous results acquired by the fellow. The developed process will lead to improved quality characteristics compared to the conventional freezing. During this extensive study the fellow will gain valuable multidisciplinary experience and new theoretical and practical skills in the areas of heat transfer modelling, energy accounting methods, food nutrition and quality measurements as well as life cycle assessment methods. The integrated proposed study will give the fellow the opportunity to develop further knowledge on development of innovative processes having industrial importance and finally become a real specialist in the microwave assisted food blanching and freezing. The candidate will also learn to conduct research, to manage projects, communicate results effectively, commercialise research, as well as an in-depth education in development of innovative processes which will contribute for an open mind to innovation and more successfully realisation of research ideas into commercial reality.

Keywords: vegetables,blanching,freezing,microwave,modelling,kinetics
Intelligent Toolkit for Reconnaissance and assessmEnt in Perilous Incidents (INTREPID)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Increase Europe's resilience to crises and disasters
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Greece,Sweden,Belgium,Greece,Belgium,France,France,France,France,Netherlands
Call: Technologies for first responders (H2020-SU-SEC-2019, 2019)
Start date: 2020-10-01
End date: 2023-11-30
Duration (months): 38.0
Total project cost (EUR): 6898642.5
EU funding (EUR): 6898642.5
Participants: 18
Project status: SIGNED

Many challenges arise in the immediate aftermath of a natural or man-made disaster. First responders must deal with pressing and dramatic challenges in a chaotic, dynamic, and dangerous environment while locating and rescuing victims and neutralising threats. They must make urgent decisions, but the zone can be large, complex, hostile, with many areas unsafe to explore. The lack of reliable information and the deep uncertainty present serious obstacles to a quick and effective response. INTREPID aims to create a unique platform, seamlessly integrating Intelligence Amplification and eXtended Reality concepts, with unprecedented Smart Cybernetic Assistants and innovative deep indoor Networking and Positioning capabilities, to improve and accelerate the exploration and assessment of disaster zones. The project will validate its effectiveness, in iterative and complementary pilots, to support the rescue operations in areas that are complex or dangerous to explore. Always first on scene, first responders will be able to immediately start operations without having to wait for specialized teams or for the zone to be fully secured. When these teams arrive, first responders have already used INTREPID to provide them with reliable information and effective assistance. The result is an immediate and targeted response that will allow faster, more effective and safer operations. The consortium consists of world-class research centres and SMEs, coordinated by an industrial with a leading position in the security market. It will follow a user-centric methodology involving many first responders, and an international Advisory Board and Open User Group ensuring diversity. Social, ethical and legal constraints will be carefully considered during the project’s lifetime. The project will design and implement a training curriculum and an innovative evaluation framework along with an ambitious communication and dissemination plan, preparing the ground for successful exploitation.

Keywords: reconnaissance and assessement,situational awareness,symbiotic operations,intelligence amplification,extended reality,autonomous robotics,high res mapping and positioning,tactical networks