Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
INIA ESR5 SNLS for Mental Health Disabilities (INIA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Action type: Marie Skłodowska-Curie actions
Countries involved: Ireland
Call: MSCA Special Needs Allowance (H2020-IBA-MSCA-SNLS-2020, 2020)
Start date: 2021-03-01
End date: 2024-02-29
Duration (months): 36.0
Total project cost (EUR): 51168.75
EU funding (EUR): 51168.75
Participants: 1
Project status: SIGNED

Request of financial support to cover the additional costs that researchers/staff members with disabilities face due to the increased costs of their mobility and/or to ensure necessary assistance by third persons or for adapting their work environment.

Keywords: ptsd,anxiety,disassociation disorder,gender identity disorder
Verified physics-aware machine learning to transform non-linear power system stability and optimization (VeriPhIED)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Denmark
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2022-05-01
End date: 2027-04-30
Duration (months): 60.0
Total project cost (EUR): 1499183.0
EU funding (EUR): 1499183.0
Participants: 1
Project status: SIGNED

Measures against global warming require disruptive changes in the electricity sector. Drastically reducing CO2 emissions involves replacing bulk generation units with millions of renewable energy sources, along with a rapid increase of electricity demand. Maintaining the stability of the system with current approaches becomes not only computationally intractable, but also extremely costly. Recently proposed data-driven methods have been shown to handle the sheer complexity and have an impressive performance, achieving higher accuracy while being 250-1000 times faster than traditional methods. However, power systems are safety-critical systems, where data-driven methods will never be applied if they remain a black-box. This proposal removes the barriers for the application of data-driven approaches in power system problems, proposing methods that exploit the underlying physical properties of power systems. We propose the development of physics-aware verifiable neural networks and a neural network training procedure that can supply by-design guarantees of the neural network prediction accuracy. Accuracy does no longer need to be a statistical metric. Instead, our methods can supply a provable upper bound of the prediction error over the whole input space, that the power system operators can trust. We further show how neural networks can capture non-linear constraints impossible to capture before, and can reduce any non-linear optimization problem to a tractable mixed-integer linear program with verified accuracy, potentially boosting computation speed and tractability. From a power systems context, this enables us to treat power system dynamics and optimization in a unified framework that accurately captures the true feasible region, removes various approximations, and eliminates redispatching costs, saving billions of euros per year. The proposed methods naturally extend beyond power systems, finding application to a wide range of physical safety-critical systems.
A Multiscale and Multimodal Modelling Approach for Green Urban Traffic Management (MAGnUM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: France,France
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2021-02-28
Duration (months): 66.0
Total project cost (EUR): 1975500.0
EU funding (EUR): 1832900.0
Participants: 3
Project status: CLOSED

The MAGnUM project aims to (i) create a consistent set of interrelated dynamic and multimodal traffic models able to capture driver behaviours at the different urban scales and (ii) apply this variety of models to design efficient and green traffic management strategies. Traffic flow dynamics is well reproduced at a local urban scale by the kinematic wave model and its numerous extensions. Even if this model is parsimonious compared to other modelling approaches, it can hardly be applied at larger urban scales for traffic control applications. Very recently, a new modelling approach has been proposed to represent congestion dynamics at large scales. It relates the total travel production to the vehicle accumulation in a traffic network with for now a restrictive condition about network homogeneity. This approach is very promising for designing new traffic management systems but heterogeneous situations should be handled by properly connecting with the local scale to account for the effects of the local distributions and variations of the driver behaviour (demand) and the network structure (supply). Investigating these relationships and proposing a full set of consistent models representing traffic dynamics at several relevant scales (successive spatial and temporal integration) is very challenging with high potential gains for traffic control applications. This is the primary goal of MAGnUM and will be achieved by mixing analytical investigations on idealized but insightful test cases with explanatory approaches based on data gained from dynamic simulations or serious game sessions on more realistic and complex cases. The second goal of the project concerns the design of innovative traffic management strategies at multiple urban scales. Breakthroughs will be achieved by considering multiple and competitive objectives when optimizing with a tight focus on environment issues and multi-modality.

Keywords: aggregated traffic modelling,drivers behaviour,traffic flow theory,multimodal,multiscale,urban road networks,sustainable traffic management,congestion,behavioural studies
Molecular machine for information reading and catalysis (ReadingMachine)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-05-01
End date: 2022-04-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

The conversion of chemical energy into translational and rotational movement at the molecular level enables biological motors to perform and control a wide variety of complex functions. ‘Read-out’ tasks are essential for life as these processes can translate information from DNA to RNA and from RNA to encode proteins. The ‘ReadingMachine’ project aims to design, construct and investigate chemically fuelled linear molecular machines capable of active transport of cargo, the read-out information and other sophisticated tasks. Specifically, I will develop [2]rotaxane-based molecular machines for information storage and read-out. I will first investigate the rational design of an orthogonal gating system on the track to allow for the unidirectional transportation of a macrocycle through the track by fuelled acid-base oscillations. By recognition of the chiral information of each station it docks at, the macrocycle will be able to report its position through a unique CD signal output. Harnessing the unidirectional motion of the macrocycle on the track, sequential information of the track will be non-destructive read-out by a series of CD outputs. Furthermore, the information that the macrocycle is reading will change the conformation of the macrocycle. As a result, the reading process will enable the molecular machine to be a 'smart' catalyst for enantioselective synthesis according to the signal it reads. The controlled information storage and read-out process on molecular-level through a fuelled non-destructive reading machine is a tremendous challenge that could lead us towards the dawn of an era of useful molecular nanotechnology, for example ‘re-storage’ and ‘replication’ of stored information, and ultimately point the way for the use of such molecular machines to write (i.e. synthesize) sequence information as it is reading from the track.

Keywords: molecular machines,supramolecular chemistry,chirality recognition,molecular device
Biocompatible and biodegradable microlasers that can be injected into the human body (InjectableLasers)

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: Physics
Countries involved: Slovenia
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-05-01
End date: 2019-07-06
Duration (months): 24.0
Total project cost (EUR): 157287.6
EU funding (EUR): 157287.6
Participants: 1
Project status: CLOSED

The goal of InjectableLasers is to make for the first time biocompatible and biodegradable/resorbable microlasers, which could be injected into human body. The lasers proposed here will be made completely out of substances approved for medical use or already present in the human body. The size of the lasers will be in the order of tens of micrometres, small enough to be injected with a standard hypodermic needle into the bloodstream, bodily liquids and tissues without large impact to the host. After few days, weeks or months, depending on the material used, the lasers will be completely degraded and absorbed by the body without any side effects. The gain material will be composed of a nontoxic dye and the lasers will be pumped directly by an external laser or through a biocompatible hydrogel optical fibre. Their operation will be demonstrated both in cell cultures and inside skin tissue. The biocompatible microlasers that will be developed here have a great potential in medical therapies and diagnostics.

Keywords: laser,biocompatible,biodegradable,sensor,medicine,injection,implantation
The Role of Complex I Assembly Factors during Prion Diseases: Insights into Mitochondrial Neurobiology (Prion Respiration)

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: Life Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2021-09-30
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

Mitochondria have a crucial role in cell survival and apoptosis, in particular in long-lived cells such as neurons. Mitochondria generate energetic potential through respiratory complexes I to IV, which constitute the electron transport chain. A number of studies demonstrates that mitochondrial integrity declines as a function of aging and dysfunctions may be exacerbated by age-related neurodegenerative diseases. Altered levels of complex I proteins have been found to be directly responsible for a decrease in energy production in Alzheimer’s and Parkinson's disease. Recently, a number of nuclear encoded mitochondrial proteins, denoted as “assembly factors” (AFs), have been identified as crucial components helping the complex I assembly. Defects in AFs (due to mutations or aberrant AFs processing) may cause complex I misassembly and mitochondrial dysfunctions leading to a broad spectrum of diseases, including neurological disorders in childhood-related dieseas as Leigh syndrome. The functional role of AFs during neurodegeneration has not been investigated yet. With the “Prion Respiration” project I propose to develop a research approach aimed at the identification of the biological role of three crucial complex I AFs (namely ECSIT, NDUFAF1 and ACAD9) in cellular and animal models using prion diseases as robust system to study neurodegenerative diseases. Subsequently, the role of prions in interfering the with the correct assembly of the AFs will be investigated using structural biology approaches, as SAXS and cryo-EM methods. The structural and functional characterization of key proteins involved in mitochondrial respiration will provide insights into the underlying mechanisms involved in neuronal function and may represent novel targets for structure-based drug design strategies to prevent or diminish the oxidative stresses underlying neurodegeneration.

Keywords: mitochondria,respiratory complex i,neurodegeneration,prion diseases,prions,complex i assembly,factors,mcia complex,transgenic mice,crispr cas9,mitochondrial,neurobiology
Atomic-level characterization of multi-component perovskite materials for optoelectronic applications (perovskites-NMR)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

This project proposes to study the molecular structure of timely photovoltaic materials: 2D, quasi-3D, hollow 3D perovskites and 3D perovskites doped with organic molecular modifiers. The understanding of order, disorder and dynamics in these complex systems is the first and most important step towards more rational design of new stable perovskites for solar cell applications. The project will address this problem by employing multi-nuclear solid-state NMR and the protocols that have been recently developed to study multi-component perovskites by the applicant. 1H, 2H, 13C, 15N, 14N, 133Cs, 115In, 209Bi and 109Ag solid-state MAS NMR will be applied to study structure and dynamics of lead (2D, quasi-3D, hollow 3D), tin (hollow 3D) halide perovskites, silver-indium and silver-bismuth double perovskites and 3D lead halide perovskites doped with amino acid molecular modifiers. The structural details will be related back to the optoelectronic behaviour studied using techniques such as confocal time-resolved photoluminescence, electroluminescence, and PL quantum yield measurements when these materials are incorporated into thin film architectures. The results are expected to provide an unprecedented level of detail on the atomic-level organisation which will also be the first comprehensive description of the structure-optoelectronic activity relationship in these complex organic-inorganic materials. The developed protocols are expected to encourage the routine application of solid-state NMR to perovskite materials research. The impact of this research is expected to go well beyond the scientific community as there is currently considerable industrial interest in developing stable perovskite-based solar cells.

Keywords: perovskites,solid state nmr,photoluminescence,mechanochemistry
Farm Accountancy Data as a Source for the History of European Agriculture (FARMACCOUNTA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

Farm accountancy data are used nowadays in the EU for fine-grained analysis of policy impact, but the history of farm accountancy data begins at the end of the 19th century, when agricultural associations promoted the spread of accounting techniques among farmers of different European countries. In the 1920s, agricultural associations and the International Institute of Agriculture, the predecessor of the UN Food and Agriculture Organization launched an ambitious and unprecedented attempt at international standardization of accounting rules in order to collect comparable accountancy data. For this two-years projects I intend to study farm accountancy data collected by the International Institute of Agriculture during the Interwar in order to assess the usefulness of farm accountancy data for the analysis of global trends in agriculture around the Great Depression and prepare the creation of a database of historical farm accountancy data in the future. I will analyse the Farm Accountancy Statistics series published by the International Institute of Agriculture concerning the evolution of agriculture in different countries for the period 1928-1938, by examining: 1. The theoretical underpinnings of farm accountancy data; 2. The actors involved in the production of data at national and international level, including economists, agricultural associations and international organizations; 3. The data expected influence on policy; 4. The picture of European agriculture that emerges from the data. As a result, the project will contribute to our understanding of the impact of protectionism, transnational networks and international organisations during the interwar period, a time of international economic tensions that increasingly resembles our own.

Keywords: history of economic thought,history of accounting,history of agriculture,great depression
Sustainable Management of Industrial Heritage as a Resource for Urban Development (CONSIDER)

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: Austria,Germany,Israel,Germany,Hong Kong,Belgium,China,Türkiye,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2020, 2020)
Start date: 2021-10-01
End date: 2025-09-30
Duration (months): 48.0
Total project cost (EUR): 1311000.0
EU funding (EUR): 1196000.0
Participants: 14
Project status: SIGNED

CONSIDER aims to develop sustainable management model (SMM) for industrial heritage sites (IHS) for the benefits of the local communities as a resource for strengthening collective identities, improving the urban landscape, promoting eco-friendly solutions, and contributing to the urban economy and a sustainablefuture of the city. It will investigate SMM for industrial heritage while exploring participatory governance models as a tool to better integrate IHS with European society. Deindustrialisation processes all around Europe give rise to social, economic and environmental problems that are resulting from structural change. Thus, there is an urgent need to find SMM to overcome these challenges. 3 research objectives are; i) To expand on what is considered as industrial heritage, how to safeguard them ii) To investigate the history of sites to identify most influential factors used to maximise the benefit iii) To explore inclusive governance and participatory models as a tool to better integrate industrial heritage with society. The innovative side of this model is its inclusive approach to the problem (regionally, sectorial, taking into consideration gender aspects, and its highlight on the exchange of knowledge, technology and labour). This novelcollaboration will be improved by through synergies, networking activities, organisation of workshop, summer school, webinars, and final conference to facilitate sharing of knowledge. The circular knowledge exchange is based on systematic and triple-helix approach between academia (universities), policymakers (municipalities), and practitioners (SME/NGO) that will contribute both in identifying problems and developing guidelines for their improvement. This research brings novelty in respect of geographic regions that previously were not sufficiently investigated and inventoried thus providing the basis for further comparative research undertakings and sustainability of the project outcomes in creation of new knowledge.

Keywords: industrial heritage,urban heritage,participatory governance,sustainable management,urban development,sustainable management of industrial heritage,sustainable management models
Eastern Mediterranean and Middle East – Climate and Atmosphere Research Centre (EMME-CARE)

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: Germany,Cyprus,Finland,France
Call: Teaming Phase 1 (H2020-WIDESPREAD-04-2017-TeamingPhase1, 2017)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 400000.0
EU funding (EUR): 400000.0
Participants: 4
Project status: CLOSED

The Eastern Mediterranean and Middle East (EMME), a region with a population of about 400 million, is affected by dust storms, dryness, heat extremes, and unparalleled air pollution. The region has been identified as a climate change “hot spot”, with adverse impacts ranging from extreme weather events to poor air quality, expected to further exacerbate in the coming decades. To address these challenges, EMME-CARE proposes the establishment of a world-class research and innovation Centre focused on environmental challenges, via the upgrade of an existing regional Centre of excellence, the Atmosphere and Climate Division of the Cyprus Institute (CyI). The integrated program of EMME-CARE will address these issues through a combination of research, innovation and education. This will involve laboratory studies, instrument development, continuous comprehensive atmospheric observations, field experiments and computer modelling of the regional climate and atmospheric environment. EMME-CARE will combine national and regional proficiency with international expertise along with unique research infrastructure to foster sustainable development in the EMME, and reduce dependency on external knowhow and services. The programme focuses on greenhouse gases, the water cycle, extreme weather, atmospheric dust and air pollution. These environmental challenges represent an important horizontal priority in the Cyprus Smart Specialization Strategy, interconnected to other vertical priorities such as health, with strong links to the public and private sectors. EMME-CARE will make use of the strategic geographical location of Cyprus as a gateway between Europe and the Middle East, and will further excellence by building on a critical mass of top scientists and engineers, promoting innovation via regular exchanges of staff and students with strategic partners, regional networking, technology transfer, entrepreneurship and spinoffs.

Keywords: environmental health,air quality,instrumentation,environmental monitoring platforms