Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Accommodate Renewable Energy in Interconnected Electricity System: an Economic Perspective (RES INV)

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: Economic Sciences
Countries involved: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-09-01
End date: 2018-11-30
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

The European Union (EU) has set ambitious greenhouse gas emissions (GHGs) targets: 20% lower than 1990 levels by 2020, rising to 40% lower by 2030 and 85% lower by 2050. Moreover, a target of at least 27% on the share of renewable energy consumed in EU is set for 2030. To facilitate renewable integration, the EU is implementing the European Single Electricity Market (ESEM). The efficient use of electricity interconnection envisaged by the ESEM can mitigate the system instability caused by a high penetration of intermittent renewables; however the challenging targets on emissions and renewable generation add constraints that need to be evaluated. In the first stage of my analysis, I will develop scenarios of the EU generation sector, focusing on the Italian market and the countries it shares electricity interconnection with. The goal is to investigate the role of investments in renewable generation and transmission network needed to meet the overall EU targets at minimum cost. I will then determine how the costs associated to interconnection and to investment in renewables are distributed among jurisdictions and between generators and consumers. In the second stage, I will investigate how the results of the first model change if electricity storage, the electrification of transport and electric heating are widely adopted. I will identify if demand management in the presence of these technologies help to match a supply that depends largely on renewable generation.

Keywords: investment in renewable generation,interconnection,demand response,integrated european electricity market
Lightweight Computation for Networks at the Edge (LightKone)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Belgium,France,France,Netherlands,Portugal,Portugal
Call: Cloud Computing (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 3570993.75
EU funding (EUR): 3570993.75
Participants: 13
Project status: CLOSED

The goal of LightKone is to develop a scientifically sound and industrially validated model for doing general-purpose computation on edge networks. An edge network consists of a large set of heterogeneous, loosely coupled computing nodes situated at the logical extreme of a network. Common examples are networks of Internet of Things, mobile devices, personal computers, and points of presence including Mobile Edge Computing. Internet applications are increasingly running on edge networks, to reduce latency, increase scalability, resilience, and security, and permit local decision making. However, today’s state of the art, the gossip and peer-to-peer models, give no solution for defining general-purpose computations on edge networks, i.e., computation with shared mutable state. LightKone will solve this problem by combining two recent advances in distributed computing, namely synchronisation-free programming and hybrid gossip algorithms, both of which are successfully used separately in industry. Together, they are a natural combination for edge computing. We will cover edge networks both with and without data center nodes, and applications focused on collaboration, computation, and both. Project results will be new programming models and algorithms that advance scientific understanding, implemented in new industrial applications and a startup company, and evaluated in large-scale realistic settings.

Keywords: edge computing,fog computing,internet of things,synchronisation free programming,gossip algorithms
Strengthening the Occupational Health Expertise and Scientific Capacity of Public Health Institution of Turkey [ESPRIT] (ESPrIT)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Belgium,Türkiye,Netherlands,Netherlands
Call: Twinning (H2020-TWINN-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 1112071.25
EU funding (EUR): 1112071.25
Participants: 5
Project status: CLOSED

The Public Health Institution of Turkey (PHIT) has been established as an affiliated body of the Ministry of Health to run primary health care services and to conduct research for protecting public health, controlling and preventing diseases. The general aim of this project [ESPrIT] is to strengthen the scientific standing PHIT in the field of occupational health, with a particular focus on occupational diseases. The project will be realised with the assistance of the applied research organisation TNO (NL) that has a position in the top 5 of EU institutes in occupational health & safety research, and the academic institutes VUmc (NL) with a leading position in medical and social sciences and UGent (Be) with a leading position in public health and educational sciences and teaching of occupational medicine. ESPrIT will boost the scientific performance of PHIT in occupational health research by establishing a three year program of training, mentoring, exchange visits, networking, co-working and co-authoring. After an analysis of specific needs and assets a training programme will be enrolled to train PHIT staff on basic research skills. A selection of high potential PHIT staff is further trained in registration and data collection techniques, scientific research methodologies and train the trainer skills. A series of exchange visits to The Netherlands and Belgium is included to encourage and support ongoing and newly started PhD-research. The scientific roadmap and the Memoranda of Understanding that will be established with Turkish and EU universities will help PHIT to continue its course beyond the scope of this project. Moreover, the project will provide Turkey with a new methodology to collect national data on occupational diseases consistently all over Turkey and enable PHIT to provide guidance for policy and prevention to all involved stakeholders. All project results will be disseminated. duration:36 month Budget:1112171,25 Euro

Keywords: occupational health,diseases,registration,prevention,data collection,research,innovation,harmonisation
The Operating System for the Internet of Things (includeOS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2019-01-01
End date: 2020-12-31
Duration (months): 24.0
Total project cost (EUR): 1774687.5
EU funding (EUR): 1242281.25
Participants: 1
Project status: TERMINATED

With the booming of Internet of Things (IoT), the number of connected devices will reach 30 billion in 2020. The problem is all these devices will be running state-of-the-art software which was not conceived for the data-intensive, security-critical, operations of IoT, normally ruled by the one-device/one-app principle. The most commonly used Operating Systems for IoT devices are General Purpose Operating Systems (Linux, 72%; Windows, 23%). GPOSs have a large footprint, i.e., they take a big chunk of the device's resources only to run their own services, most of them not even required by IoT applications. Even worse, together with larger capabilities, comes a larger attack surface, turning IoT nodes into an open door to personal and critical data coming from sectors like eHealth or smart homes. This poses 2 sources of additional cost for businesses: (1) the heavy waste of hardware capabilities in an industry multiplying their number of devices by the hour, and (2) costs derived from managing security breaches (in Europe, fines from GDPR incompliance can reach €20M). We present includeOS: a unikernel-based Operating System especially aimed for IoT devices. includeOS provides IoT devices with 96% enhanced security and reduced footprint, in an all-in-one concept: OS and application are developed, deployed and run as one thing. In this way, the application uses only the set of services it requires from the OS, optimizing the overall performance of IoT ecosystems by 54%, and reducing the number of attack vectors by 96%. We are a spin-off from the Oslo Metropolitan University, founded in 2016. Our product is the result of intensive research work. Since then, we have worked with the ambition to create the best Operating System for single-purpose computers, in order to maximize their performance and hardware capabilities. With a minimum running cost, the launch of includeOS will let us scale up our businesses and secure a ROI of 16, in only 5 years.
Enhancing innovation management capacity of SMEs in the Netherlands in 2020-2021 (INMANCAP 2020_21)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Netherlands,Netherlands
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 1014041.25
EU funding (EUR): 1014041.0
Participants: 2
Project status: CLOSED

The overall objectives of the project are to deliver services designed to enhance the innovation management capacity of SMEs in the Netherlands between 1 January 2020 and 31 December 2021. These services will comprise both Key Account Management (KAM) services for SME beneficiaries of the EIC Pilot under H2020 and services to Enhance the Innovation Management Capacities of SMEs. The sub objective for the first category is: to identify weaknesses in the innovation capacities of the SME beneficiaries hindering their growth opportunities and hence their full commercial potential. The Network's Key Account Managers shall identify the coaching needs of the SMEs and shall identify suitable coaches who will be tasked with the addressing of the identified weaknesses. The sub objectives for the second category are: to identify promising SMEs capable of growth and successful internationalisation, to carry out a diagnostic audit to identify gaps in the regional SME innovation management capacity and to develop and implement a tailored action plan to make the innovation system in the company more efficient and effective.

Keywords: innovation management capacity,coaching,key account management,horizon 2020,eic pilot
Gender, Infrastructure and the Production of Domesticity in the (Post)Communist City (Domesticities)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
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: 2021-10-23
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

This research proposes to investigate the relationship between gender, the (post)communist state and architecture in the passage from socialism to its aftermath in Bucharest, Romania. The project explores the manner in which housing infrastructure was employed as a political technology in the production of gendered subjectivities—that is, women’s embodied experience of the built environment—in the communist and post-communist periods. The fall of the communist regime in 1989 and the emergence of capitalist democracy served both to contest and reshape former boundaries between the private and the public realms. At the same time, housing infrastructure is the main inheritance of the communist system and constitutes, within a new socio-political condition permeated by Western images, the physical structure that must accommodate a new type of domesticity. The research defines domesticity as a changing set of attitudes and praxes that are specifically linked to the political intention embedded within the communist housing projects. The main research objective is to establish the significance of housing infrastructures built in Bucharest between 1955 -1984 in the regulation of the home, the family and women’s roles in the communist and post-communist periods. The research will achieve this objective by interrogating, on the one hand, the interaction between processes of regulating, designing, building, using and imagining socialist housing and, on the other hand, the actual lived experiences of women. The approach of this research project is interdisciplinary, employing ethnographic methods, archival research, and drawing on specific theoretical frameworks—from architecture, anthropology, and gender studies—for analysis and interpretation. The research will be a unique contribution to existing scholarship on the legacies of communism in states from Eastern Europe, by relating questions of gender to the constitution of domesticity through infrastructure.

Keywords: socialist housing,gender,architecture,domestic infrastructure,domesticity,post communism,bucharest
Inhibitor of DUX4-IGH to Erase Acute lymphoblastic Leukaemia (IDEAL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-02-01
End date: 2022-01-31
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

The second most important cause of death and morbidity in Europe is cancer and B-cell acute lymphoblastic leukaemia (B-ALL) is the most common paediatric cancer and cause of cancer-related death before 20 years. In up to 7% of cases, the disease is caused by rearrangements of the genetic regulator DUX4 to the IGH locus, giving rise to the DUX4-IGH fusion. While ectopic expression of DUX4 induces cell death, DUX4-IGH drives transformation. Even though the two proteins share the same DNA binding domain (dbd), DUX4 and DUX4-IGH drive the transcription of non-overlapping target genes. Through proteomics, my lab identified a specific DUX4-IGH inhibitor, which directly binds to DUX4-IGH dbd blocking the activation of target genes. Based on this evidence, the goal of IDEAL is to test the antileukemic activity of the inhibitor in pre-clinical settings. Using cellular models, I will test the ability of the inhibitor to block transformation driven by DUX4-IGH. I expect to see a significant inhibition of DUX4-IGH driven transformation in the presence of its inhibitor, associated with reduced proliferation, clonogenic and self-renewal potential. To test the efficacy of DUX4-IGH inhibition in leukemia development, I will employ animal models (murine bone marrow transplantation assays and patient derived xenografts of DUX4-IGH B-ALL) and assess disease latency in the presence or absence of the inhibitor. I predict that the inhibitor will block or significantly delay DUX4-IGH B-ALL. Pre-clinical validation of the DUX4-IGH inhibitor will help defining effective therapeutic strategies for DUX4-IGH B-ALL patients, improving clinical outcome and lowering treatment toxicity, thus overall promoting Europe's healthcare. Through IDEAL I will expand my expertise in leukaemia research and I will acquire project management and leadership abilities that will foster my personal and professional development as an independent scientist.

Keywords: acute lymphoblastic leukaemia,pdx models,fusion oncogene,pre clinical studies
Disease Risk And Immune Strategies In Social Insects (DISEASE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Switzerland,United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-04-01
End date: 2025-03-31
Duration (months): 72.0
Total project cost (EUR): 1499995.0
EU funding (EUR): 1477282.5
Participants: 2
Project status: SIGNED

Group-living has been predicted to have opposing effects on disease risk and immune strategies. First, since repeated contacts between individuals facilitate pathogen transmission, sociality may favour high investment in personal immunity. Alternatively, because social animals can limit disease spread through collective sanitary actions (e.g., mutual grooming) or organisational features (e.g., division of the group’s social network into distinct subsets), sociality may instead favour low investment in personal immunity. The overall goal of this project is to experimentally test these conflicting predictions in ants using advanced data collection and analytical tools. I will first quantify the effect of social organisation on disease transmission using a combination of automated behavioural tracking, social network analysis, and empirical tracking of transmission markers (fluorescent beads). Experimental network manipulations and controlled disease seeding by a robotic ant will allow key predictions from network epidemiology to be tested, with broad implications for disease management strategies. I will then study the effect of colony size on social network structure and disease transmission, and how this in turn affects investment in personal immunity. This will shed light on far-reaching hypotheses about the effect of group size on social organisation ('size-complexity’ hypothesis) and immune investment (‘density-dependent prophylaxis’). Finally, I will explore whether prolonged pathogen pressure induces colonies to reinforce the transmission-inhibiting aspects of their social organisation (e.g., colony fragmentation) or to invest more in personal immunity. This project will represent the first empirical investigation of the role of social organisation in disease risk management, and allow its importance to be compared with other immune strategies. This will constitute a significant advance in our understanding of the complex feedback between sociality and health.

Keywords: social organisation,social network analysis,epidemiology,disease transmission,immune investment
From Geometry to Combinatorics and Back: Escaping the Curse of Dimensionality (GeoScape)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Hungary
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-09-01
End date: 2026-02-28
Duration (months): 66.0
Total project cost (EUR): 2009433.75
EU funding (EUR): 2009433.75
Participants: 1
Project status: SIGNED

Combinatorics is a fundamental mathematical discipline whose study has experienced unprecedented growth during the past few decades. Its rapid development can be partially explained by spectacular applications of extremal combinatorics in additive number theory, information theory, theoretical computer science, and elsewhere. Asymptotic results in extremal and probabilistic combinatorics have proved to be powerful tools in the structural and algorithmic analysis of huge networks such as the internet graph, brain maps, social networks, and integrated circuits. We have deep, well developed algebraic, topological, and probabilistic techniques to tackle some basic problems of modern combinatorics, but many classic Ramsey-, Turán-, and Szemerédi-type questions remained open. The main goal of the proposed work is to attack some hard problems for large classes of graphs and hypergraphs arising in geometric, algebraic, and practical applications. These structures escape the "curse of dimensionality”: they can be embedded in a bounded-dimensional space, or they have small VC-dimension, or a short algebraic description. The work of the principal investigator, his collaborators and students has played a significant role in the introduction of modern combinatorial tools in geometry. In the present project, he aims to explore the reverse direction: to develop and apply geometric techniques to settle important special cases of notoriously difficult combinatorial problems on (1) bounded degree semi-algebraic graphs and hypergraphs, (2) graphs and hypergraph of bounded VC-dimension, (3) ordered graphs, 0-1 matrices, and graphs embedded in the plane or in other surfaces. Progress on the problems described in the proposal is expected to lead closer to the solution of some classical problems such as the Erdős-Hajnal conjecture, the Danzer-Rogers conjecture, the Schur-Erdős problem, and to the development of improved algorithms for clustering and property testing in huge graphs.

Keywords: graph,network,vc dimension,partial order,regularity lemma,clustering,property testing,string graph,semi algebraic graph,forbidden pattern,epsilon net,transversal,extremal combinatorics,random sampling,cutting lemma
EEN Scotland EIMC (EEN Scotland EIMC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: United Kingdom,United Kingdom
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 228100.0
EU funding (EUR): 228100.0
Participants: 2
Project status: CLOSED

The project’s underlying objective is to to encourage smart inclusive and sustainable growth in the EU by increasing effective investment in innovation linked to profitable exploitation in international markets. The project’s specific objective is to ensure that Scottish SMEs with international innovation and growth ambitions are empowered by unlocking their full growth potential through better internal innovation management capability and tailored mentoring and coaching. The aim is to support SME’s international competitiveness through the exploitation of new or enhanced products, process or service through improved innovation efficiency. To this end, the project will seek to improve the innovation performance of Scottish SMEs, both for beneficiaries of the EIC and for the wider SME innovation base (through the innovation management capacity building service: EIMC Service). Specific objectives include: • Identification of bottlenecks to the creation of economic impact in companies benefiting from EIC relevant grants and addressing these bottlenecks with the help of capable coaches. • Increasing the efficiency and effectiveness of innovation processes in SMEs with significant innovation activities that could potentially become beneficiaries of European support to research and innovation but would not have effective access to consulting services for innovation management. • Ensure EEN Scotland staff have the competencies to engage professionally with high-end target companies.

Keywords: innovation management,innovative smes,growth and scaling