Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Coordinating and integRating state-of-the-art Earth Observation Activities in the regions of North Africa, Middle East, and Balkans and Developing Links with GEO related initiatives towards GEOSS (GEO-CRADLE)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Developing comprehensive and sustained global environmental observation and information systems
Action type: Coordination and support actions
Countries involved: Albania,Israel,Spain,Italy,Egypt,Cyprus,Belgium,Greece,Greece,North Macedonia,Serbia,Tunisia,Türkiye,Bulgaria,Greece,Poland,Romania,Serbia,Switzerland,France,Morocco
Call: Integrating North African, Middle East and Balkan Earth Observation capacities in GEOSS (H2020-SC5-2015-one-stage, 2015)
Start date: 2016-02-01
End date: 2018-11-30
Duration (months): 34.0
Total project cost (EUR): 3030800.0
EU funding (EUR): 2910800.0
Participants: 24
Project status: CLOSED

GEO-CRADLE brings together key players representing the whole (Balkans, N. Africa and M. East) region and the complete EO value chain with the overarching objective of establishing a multi-regional coordination network that will (i) support the effective integration of existing EO capacities (space/air-borne/in-situ monitoring networks, modelling and data exploitation skills, and past project experience), (ii) provide the interface for the engagement of the complete ecosystem of EO stakeholders (scientists, service/data providers, end-users, governmental orgs, and decision makers), (iii) promote the concrete uptake of EO services and data in response to regional needs, relevant to the thematic priorities of the Call (adaptation to climate change, improved food security, access to raw materials and energy), and (iv) contribute to the improved implementation of and participation in GEO, GEOSS, and Copernicus in the region. In this context, GEO-CRADLE lays out an action plan that starts by inventorying the regional EO capacities and user needs, which in turn leads to a gap analysis, the definition of region specific (G)EO Maturity Indicators and common priority needs. Through showcasing pilots, it demonstrates how the priorities can be tackled by the GEO-CRADLE Network, and provides the roadmap for the future implementation of GEOSS and Copernicus in the region, building on the GEO-CRADLE Regional Data Hub, which abides by the GEOSS Data Sharing Principles. To maximise the impact of GEO-CRADLE activities, well-defined Communication, Dissemination and Stakeholder Engagement strategies are proposed. Key Performance Indicators (KPIs) will be used for the quantified assessment of the impact, identifying potential enabling or constraining factors, while pursuing realistic but also ambitious exploitation scenarios. For efficient project coordination, the project management is assisted by a regional coordination structure, and active liaison with EC, GEO and UN initiatives.

Keywords: earth observation services and data,regional data hub,geoss,copernicus,regional coordination network,adaptation to climate change,improved food security,access to raw materials,energy
dEUdil: Building on open data as a new business model in the business information industry (dEUdil)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: United Kingdom
Call: New business models for inclusive, innovative and reflective societies (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-08-01
End date: 2018-07-31
Duration (months): 24.0
Total project cost (EUR): 4449563.75
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

DueDil is on a mission to contextualise the world’s private company information and, in the process, to do for private markets what Bloomberg has done for public ones. At the heart of DueDil’s success is a big data platform built on top of open data that leverages geo-localisation and network analysis techniques. This combination of our data processing architecture and proprietary algorithms enables us to shift the paradigm of the business information industry with a product that offers superior data contextualisation and usability and unprecedented transparency. By creating tools on top of open data, we are innovating in the business information industry in a way that is simply unavailable to the traditional incumbents who have grown through acquisition rather than innovation. We are well established in the UK & Ireland and the next step is pan-European expansion. To this end, we are seeking a grant to strengthen our technology backbone and enable the scaling and gradual localisation of our services from 2 to 19 European Member States (MS). We aim to create a unified database of company and corporate director information across the 19 MS with information matched and searchable seamlessly within and across the 19 MS. We will also start building our continental Europe business development capacity for those new markets centrally from London, rolling out our solution incrementally across Europe. By removing the major, widely acknowledged barrier to growth: finding new business and risk managing suppliers and customers by providing access to business information of unprecedented transparency, we believe DueDil can become a powerful growth and job creation engine for Europe and thus generate a massive return for European taxpayers’ money. To achieve this, we have assembled a talented, skilled, multi-cultural team and received backing from well-known investors that have been involved in some of the largest European exits of the last decade.

Keywords: open data,business model innovation,business intelligence,business transparency,machine,learning,big data,technical development,deployment
Putting Offence Prevention into Practice (POPP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Our advanced ERC grant MemoTV (Memories of Trauma and Violence) confirmed and expanded upon previous research demonstrating that early trauma history and future violent behaviour are closely associated. However, public health and community violence prevention programs continue to overlook the need to address underlying trauma among perpetrators. MemoTV uncovered that aggressive behavior is fuelled by two cycles of violence, one traumatic/aversive and one appetitive/appealing. Based on this knowledge, a treatment (FORNET) has been developed to cure related psychopathology and alter future dynamics of individual development. Substantial success in the rehabilitation of youth offenders has been shown in controlled trials, including street children, former child soldiers and youth gang members of Africa. We now want to prove for the European context that a system can be put into practice that supports unaccompanied minor refugees with trauma and delinquency experiences. The organizational structure will follow the proposal that we elaborated in the report of the German National Academy whereby peer counselors – individuals with their own history of migration – assist traumatized refugees. Through POPP (Putting Offence Prevention into Practice), we will prove that it is possible to support an increasing number of youth with a history of trauma and aggression back to mental and social well-being.

Keywords: traumatic stress,refugee,youth,violence,integration,psychotherapy,counseling
Enhancing innovation management capacity of SMEs in Republic of Srpska (EUNORS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Bosnia and Herzegovina
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): 18283.75
EU funding (EUR): 14627.0
Participants: 5
Project status: CLOSED

This action relates to Horizon 2020 topic Innovation in SMEs under Other actions (Specific activities in the context of innovation support (H2020), in particularly the component: “Enhancing the innovation management capacity of SMEs” in the Enterprise Europe Network. As identified by both COSME and Horizon programs, in Europe, and more specifically geographic area covered by EUNORS, SMEs face a number of internal and external constraints, particularly “lack of financial resources” and “inability to manage innovation processes efficiently and effectively”. To tackle these constraints, EUNROS will focus on providing customized EIMC expert support to SMEs in our target area, to a predefined number of beneficiaries with high potential for growth and internationalization. Additionally, EUNORS will work with SMEs in order to support them in the process of applying for SME Instrument (under H2020 Programme).

Keywords: small and medium enterprise,innovation,research,entrepreneurship,technology,transfer,knowhow
Accelerating cities' transition to net zero emissions by 2030 (NetZeroCities)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Estonia,Italy,Austria,Germany,Spain,Spain,Germany,Ireland,Germany,Spain,Belgium,Sweden,Switzerland,Finland,Croatia,France,France,France,Netherlands,Netherlands,Netherlands,United Kingdom
Call: Towards Climate-Neutral and Socially Innovative Cities (H2020-LC-GD-2020-2, 2020)
Start date: 2021-10-01
End date: 2025-09-30
Duration (months): 48.0
Total project cost (EUR): 52996604.88
EU funding (EUR): 52996604.879999995
Participants: 34
Project status: SIGNED

NetZeroCities (NZC) is designed to pursue the ambition of the report from the Mission Board for Climate Neutral and Smart Cities, as part of a broader European ambition to achieve climate neutrality before 2050. This ambition represents a substantial elevation of the degrees of decarbonisation and the timescale for achieving it. For all cities achieving this level of impact is an extraordinary undertaking and would require profound changes in how policies, projects and programmes are advanced by cities, with the direction and support of senior governments. NZC connects and builds beyond established programmes and experimental initiatives. The NetZeroCities consortium is build based on partners? expertise, experience, and access to a very large network of cities of all sizes and maturity throughout Europe. It has an excellent balance of partner typologies, a great geographical coverage allowing presence and activity all throughout Europe, and thanks to that, its approach goes beyond current state-of-the-art. NetZeroCities will create a programme tailored to the specific conditions of each city. All the services and thematic expertise will be aggregated and co-designed through a NZC one-stop-shop Platform and the digital portal and smart repository for impact measurement, capacity building and knowledge/tools dissemination. Cities will benefit from an intensive support relationship of dedicated City Guides to navigate the platform and ensure city needs are adequately understood and addressed. NetZeroCities will support pilots in 30 European cities and, in subsequent rounds of engagement, more than 100 cities to achieving carbon neutrality by 2030 (medium-term) and 2050 (long term) respectively, by developing and deploying an integral approach to support climate-neutral transformation in cities. This will be achieved through the co-design and organisation of services, including the Climate-neutral City Contract as an enabling instrument.

Keywords: cities,innovation,systems change,pilots,citizen engagement,social innovation
Open source toolbox for modelling integrated energy systems (Spine)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Research and Innovation actions
Countries involved: Ireland,Ireland,Belgium,Sweden,Finland
Call: Tools and technologies for coordination and integration of the European energy system (H2020-LCE-2017-SGS, 2017)
Start date: 2017-10-01
End date: 2021-09-30
Duration (months): 48.0
Total project cost (EUR): 3729987.5
EU funding (EUR): 3580418.75
Participants: 5
Project status: CLOSED

Spine project will create a toolbox for modelling integrated energy systems. The Toolbox will be modular and adaptable, making the toolbox suitable for both detailed modelling of complex features in energy systems as well as for large-scale problems. This is a novel approach to energy system modelling, which allows a much broader set of problems being addressed within a single modelling tool. The adaptability comes from a design where the input data defines the temporal, spatial, technological, regulatory and sectoral dimensions of the model instance. Model instances can also be chained in order to allow iterative approaches for solving especially large problems (e.g. planning a large system while considering high operational detail). The Spine Toolbox will support the full modelling chain from data acquisition to processing of results. Through automated features of the toolbox it will be easy to generate a large number of scenarios from user-defined data collections. It can connect to different tools and models, both external and internal. The internal tools developed in the project include an input data verification tool, a tool to post-process outputs, parallelization service and the actual Spine Model. The Spine Toolbox and the Spine Model will be deployed by open sourcing all the developments. The project will initiate, grow and support a user community where the project partners will participate as they will replace many of their existing tools with the Spine Toolbox. The Spine project will use the toolbox to contribute to the expected impacts of the call. A series of case studies will help the project to expand specific modelling capabilities in the Spine Model, deploy the Toolbox to potential users, and produce analysis relevant to the expected impacts of the call. Policy and business relevant results will be communicated to the relevant stakeholders, demonstrating the future uses of the toolbox in policy-support and business decision-support.

Keywords: open source software,simulation,modelling
Circular Economy Business Models for innovative hybrid and electric mobility through advanced reuse and remanufacturing technologies and services (CarE-Service)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Innovation actions
Countries involved: Italy,Germany,Italy,Italy,Italy,Italy,Germany,Spain,Germany,Spain,Sweden,Belgium,France,Portugal
Call: Systemic, eco-innovative approaches for the circular economy: large-scale demonstration projects (H2020-CIRC-2017TwoStage, 2017)
Start date: 2018-06-01
End date: 2021-11-30
Duration (months): 42.0
Total project cost (EUR): 7722365.75
EU funding (EUR): 6229505.01
Participants: 17
Project status: CLOSED

Electric and Hybrid Electric Vehicles (E&HEVs) will be an opportunity to drastically innovate mobility products and services in the direction of sustainability and of higher accessibility for customers. If coupled with innovative services offered by car manufacturers in a network of well coordinated partners supporting extensive and efficient End-Of-Life operations, the advent of E&HEVs could revolution the current mobility consumption uses of people and preserve the environmental much more than the only substitution of traditional cars with E&HEVs could do. In particular, non-ownership based models of E&HEVs with additional added-value services (leasing or renting contracts with periodic upgrade through remanufacturing, pay per use, etc.), would give OEMs the possibility to establish long-term customers relationships on one hand, and of setting-up innovative supply chains that performs systematic remanufacturing and reuse of E&HEVs parts in order to maximize the residual value of components and materials on the other. Remanufacturing, reuse and recycling would become the strategies upon which car manufacturers would base future competitiveness, leveraging on the benefits of costs saving and, at the same time, guaranteeing environmental benefits and superior performances to customers. However, there are substantial barriers to implement these new business models. The main one is developing adequate capabilities to remanufacture and reuse E&HEVs’ components and materials in order to provide customers with added value. This is significantly difficult especially from the technological point of view, since E&HEVs determine a fundamental transformation in vehicles design, featuring a substantial evolution in the critical components and materials. The CarE-Service project will demonstrate new enabling technologies and service to systematically perform innovative reuse and remanufacturing as key-processes to provide value to customers and, at the same time, to minimize environmental impacts.
Biological Effects on Isotopically Evaluated Systems (Bioisotopes)

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: Belgium
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: TERMINATED

Reliable and robust methods for determining iron, zinc and copper status in the general population are needed. High precision natural intrinsic isotopic techniques originating in Earth Sciences can be used to reveal elusive metal pathways. The tight energy controls in biological systems mean that the isotope effect is seen in different metal-protein environments, depending on the ligand coordination and, if relevant, the oxidation state of the metal. When metal pathways adjust, due to increased or decreased uptake, excretion or another metabolic change, the isotope composition of a metal reservoir reflects this. Recent studies have indicated that these high precision isotopic analyses of blood may provide a new reliable method to determine metal status and disease. However, the interpretation of high precision isotopic data currently relies on computational models and plant-based laboratory experiments, and these assumptions are not sufficient to constrain isotopic signatures in human biological systems. Accurate interpretation of the isotopic signature is key to understanding the metabolic pathway that lead to a change in metal status. This study will investigate the isotopic fractionation of iron, copper and zinc on binding with proteins in simple to complex biological systems, and how this relates to metal cell metabolism, with the key aim of establishing a robust reference frame for future investigations of isotope biochemistry.

Keywords: isotope geochemistry
Deep Learning Theory: Geometric Analysis of Capacity, Optimization, and Generalization for Improving Learning in Deep Neural Networks (DLT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-07-01
End date: 2023-12-31
Duration (months): 66.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Deep Learning is one of the most vibrant areas of contemporary machine learning and one of the most promising approaches to Artificial Intelligence. Deep Learning drives the latest systems for image, text, and audio processing, as well as an increasing number of new technologies. The goal of this project is to advance on key open problems in Deep Learning, specifically regarding the capacity, optimization, and regularization of these algorithms. The idea is to consolidate a theoretical basis that allows us to pin down the inner workings of the present success of Deep Learning and make it more widely applicable, in particular in situations with limited data and challenging problems in reinforcement learning. The approach is based on the geometry of neural networks and exploits innovative mathematics, drawing on information geometry and algebraic statistics. This is a quite timely and unique proposal which holds promise to vastly streamline the progress of Deep Learning into new frontiers.

Keywords: deep learning,neural networks,information geometry,algebraic statistics,reinforcement learning,representational power,optimization,regularization
Kac-Moody groups and Computer Assistants in Mathematics (KaMCAM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-01
End date: 2017-07-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

This fellowship will enable the experienced Researcher Dr Rieuwert Blok - a currently USA-based European Union national - and Dr Corneliu Hoffman - as Host researcher based at the University of Birmingham - to carry out innovative and mutually beneficial research utilising their complementary skill sets. Blok brings extensive research experience in buildings, Lie theory and geometries while Hoffman's background is in group theory, representation theory and number theory. The fellowship aims to create optimal conditions for the Researcher to reintegrate into ERA for the benefit of both the Researcher and the ERA. The action comprises two distinct, yet interconnected Work Packages . The first one concerns Curtis-Tits groups, a large family of groups recently introduced by the Researcher and Dr Hoffman. This family includes groups of established importance, namely groups of Lie and Kac-Moody type, but in fact contains many new groups of great theoretical significance and practical interest. The action develops methods that open up this promising family for further study. It then determines key properties such as simplicity, and explores and establishes applications in geometric group theory, combinatorics, group presentations, and computer science. The subject area is an innovative blend of group theory, homological algebra, topology, geometry, number theory and computer science. The second package is an interdisciplinary project between mathematics and computer science, exploring the promise of effectively using the recent developments surrounding proof assistants in teaching and research. It builds forth upon pioneering work in this direction by both researchers at their respective universities.