Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Simulation using Building Information Modeling Methodology of Multimodal, Multipurpose and Multiproduct Freight Railway Terminals Infrastructures. (INTERMODEL EU)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Italy,Italy,Italy,Finland,Poland,Sweden,Netherlands
Call: Smart governance, network resilience and streamlined delivery of infrastructure innovation (H2020-MG-2015_TwoStages, 2015)
Start date: 2016-09-01
End date: 2019-08-31
Duration (months): 36.0
Total project cost (EUR): 2999547.5
EU funding (EUR): 2999547.5
Participants: 17
Project status: CLOSED

The main objective of this Project is the development of a methodology and ICT tools which will allow an advanced simulation of intermodal railway logistics platforms models in order to support tasks related to both design and planning phases. Using the combination of demand/economic/capacity models as main inputs, an evaluation of scenarios will be possible by means of the comparison of an underlying Building Information Modeling output composed of different data sets such as CAPEX, OPEX or energy efficiency. Moreover, using these new design tool an improvement of the QOS and boost transhipment operations between rail and road transport will be achieved. Above BIM2Operate translate and demonstrate the benefits of BIM during the operational phase, the tools can be extended with a specific simulator to get other indicators about the performance of the operations. The scope of this proposal addresses two of a maximum of five aspects expected by the European Commission: - Development of whole system planning environments (based e.g. on virtual design concepts such as BIM - Building Information Modeling) to support the streamlined delivery of infrastructure projects from concept to deployment. In this respect, the rail sector deserves particular attention. - Solutions for advanced infrastructure capacity planning and modeling for all transport modes.

Keywords: building information modeling
Empirical Demand and Welfare Analysis (EDWEL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-10-01
End date: 2022-09-30
Duration (months): 72.0
Total project cost (EUR): 1426418.0
EU funding (EUR): 1426418.0
Participants: 1
Project status: CLOSED

Measurement of consumer welfare is central to economic evaluations. It underlies calculation of price-indices, formulation of tax policies, and environmental and industrial regulation. But existing measurement methods rely on restrictive assumptions about consumer preferences, leading to potentially incorrect conclusions regarding policy-impacts. The proposed project aims to make fundamental contributions to empirical welfare analysis by developing nonparametric approaches, which would avoid such assumptions and thus produce reliable welfare estimates from micro-data. The emphasis will be on welfare-evaluation of price/quality changes in the under-researched but common real-life setting of discrete-choice, e.g., the impact of tuition subsidies for college entrants, fare-hikes for passengers and access to new channels for TV viewers. The project will cover (i) discrete choice with multinomial/ordered/non-exclusive alternatives, (ii) random coefficient choice-models, (iii) settings where one’s choice affects one’s peers’ utilities, and (iv) dynamic choice under uncertainty such as durable-purchase. Welfare analyses in situations (ii)-(iv) are previously unexplored problems and represent ambitious undertakings. Situation (i) has been analyzed only under strong, unsubstantiated assumptions, like quasilinear preferences and extreme valued errors. The key insight driving the project is that welfare calculations require less information than what is needed to identify underlying preference parameters. The project will also develop methods to overcome common data problems like interval-reporting and endogeneity of income. The theoretical results will be complemented by software codes in Stata/R which can be readily used by practitioners. Given the ubiquity of welfare analysis in economic applications and its use in non-academic settings such as merger-analysis, damage calculations, etc., the project is likely to have a substantial impact both in and beyond the academia.

Keywords: cost benefit analysis,money metric welfare,discrete choice,unobserved heterogeneity,non parametric identification,multinomial choice,peer effects,dynamic choice
A multicenter phase IIb study using HLA-unmatched allogeneic placenta-derived stromal cells (PLX-PAD) for the treatment of severe critical limb ischemia accompanied by mechanistic studies (PACE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Ireland,Germany,Italy,Italy,Israel,Germany,Czechia,United Kingdom
Call: Clinical research on regenerative medicine (H2020-SC1-2016-RTD, 2016)
Start date: 2017-01-01
End date: 2021-12-31
Duration (months): 60.0
Total project cost (EUR): 7206218.75
EU funding (EUR): 7206218.75
Participants: 12
Project status: CLOSED

PACE aims to transform the treatment of patients suffering from critical limb ischemia (CLI), a disease with high medical need, because of limited treatment options and poor outcome by applying a novel, off-the-shelf allogeneic placenta-derived stromal cell product (PLX-PAD). Despite improvements in medical care and revascularization, patients with CLI continue to have a high risk of major amputation (below the knee or higher) and cardiovascular death (1-year amputation-free survival <60%; 10-year mortality 70%). CLI has a strong social impact and its incidence is rising worldwide, including in Europe. The prevalence of CLI in the population aged 60–90 years is estimated as 1% (0.5–1.2%) with male to female ratio around 3:1. We will evaluate the efficacy, tolerability and safety of multiple intramuscular injections of HLA-unmatched allogeneic PLX-PAD for the treatment of CLI patients who are unsuitable for revascularization, in a randomized, double-blind, multicentre, placebo-controlled, parallel group phase II study. The European Medicine Agency (EMA) accepted PLX-PAD as pilot project for the new “Adaptive Pathways to Patients” to force timely access for patients to the new therapeutic option. The PACE consortium will go beyond the traditional clinical trial endpoints of safety and efficacy, by state-of-the-art characterizing molecular and functional signature of the PLX-PAD product(s), in depth investigating mechanisms-of-action of PLX-PAD therapy, and exploring biomarkers for understanding response/non-response in particular patients (stratification and therapy response markers). PACE partners are world-leading experts in scalable, clinical grade 3D-cell manufacturing approved by authorities, preclinical and clinical cell therapy, and biomarker analyses with well recognized expertise in designing and performing clinical trials, including those with Advanced Therapy Medicinal Products (ATMPs) integrated with in-patient biomarker and mechanistic side-studies.

Keywords: from critical limb ischemia cli,off the shelf allogeneic placenta derived stromal cell product plx pad,multicentre phase ii clinical study,pilot project for adaptive pathways to patients
Molecular and metabolic mechanisms underlying mitochondrial dysfunction (MitoCure)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1463410.0
EU funding (EUR): 1463410.0
Participants: 1
Project status: SIGNED

Mitochondria are essential organelles that carry out critical metabolic functions within the cells. Electron transport chain (ETC) defects occurring from mitochondrial disease mutations compromise cellular fitness and survival. This biochemical failure is thought to underlie pathologies associated with mitochondrial dysfunction. However, the precise metabolic processes, signaling pathways and compensatory responses resulting from a defective mitochondrial ETC that drive these fatal disorders are not entirely understood. Although diminished ATP production has been considered a hallmark of mitochondrial dysfunction, I hypothesize that other metabolic failures such as disturbed redox hemostasis due to accumulated levels of NADH can be equally detrimental. Moreover, which cell types contribute the most to the disease and whether disease-carrying cells negatively impact the function of its surrounding wild-type neighbors or distant organs remain poorly characterized. Here I propose to develop a holistic understanding of the molecular and metabolic components that contribute to cell and tissue deterioration in the context of ETC dysfunction. Our central goals are: (1) To identify novel uncharacterized genes controlling function and integrity of ETC complexes and supercomplexes (2) To define how ETC dysfunction impacts cellular metabolism with special focus on redox-sensitive pathways that might be altered as a consequence of imbalanced NAD+/NADH ratio (3) To elucidate brain-specific non cell-autonomous signaling that mediates maladaptation to mitochondrial dysfunction. In sum, MitoCure puts forward an ambitious but feasible program with the purpose of yielding novel information about genes, metabolic pathways and signaling mechanisms underlying the pathophysiology associated with mitochondrial dysfunction.

Keywords: mitochondrial metabolism,mitochondrial diseases,electron transport chain,oxphos,redox balance,neurometabolism
Deep Green Island Mode 2 (DGIM2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden,United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-08-01
End date: 2021-07-31
Duration (months): 24.0
Total project cost (EUR): 6128625.0
EU funding (EUR): 2499995.0
Participants: 2
Project status: CLOSED

15 million Europeans live on Europe’s 2,400 inhabited islands, at an average of approximately 1,500 households per island. As recognised by the European Commission, island energy is expensive, polluting, inefficient and dependent on external supply, with significant negative impacts on emissions, the competitiveness of businesses, and the economy. Existing renewable alternatives are often unsuitable for these communities, such as wind and solar power, as the energy they generate is unpredictable and intermittent, making it difficult to rely on. Tidal energy is also often unsuitable, as it requires fast tidal flows (over 2.5m/s) which only occur in a few specific hot spots around the World. Solution: Deep Green Island Mode The Deep Green Island Mode (DGIM) is a stand-alone tidal and ocean current energy converter for off- grid applications. DGIM is based on the concept of flying an underwater kite, that when steered in an 8-shaped trajectory, generates a speed of 8-10 times the speed of the actual current. - Generates cost effective electricity in tidal flows as low as 1.2 m/s - Generates up to 100kW, producing an estimated 0,35 GWh/year, enough to power 100 homes - Can be located close to the shore - Up to 15 times lighter per kW compared to other tidal energy solutions - Easy, low cost installation and maintenance (low CapEx and OpEx) - Cost of energy 60% lower than diesel generators DG Island Mode offers cheap, clean, reliable electricity generation to island communities. Recently we have completed our phase 1 feasibility study which has quantified the significant, global market for DGIM. The aim of the DGIM2 project is to install the first two commercially viable DGIMs in a production and customer environment on the Faroe Islands. Successful demonstration of DGIM will act as a first step to developing commercial ties with utilities across Europe, both for DGIM and as a catalyst for the market up take of the “utility scale” Deep Green.
Super Andersen-Kashaev Topological Quantum Field Theory (SAKTQFT)

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: Mathematics
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-11-01
End date: 2023-10-23
Duration (months): 24.0
Total project cost (EUR): 207312.0
EU funding (EUR): 207312.0
Participants: 1
Project status: SIGNED

A topological quantum field theory (TQFT) is a model of quantum field theory which computes topological invariants. Although TQFTs were invented by physicists, they are also of mathematical interest because of their relation to quantum topology. Particularly interesting examples of 3d TQFTs arise from Chern-Simons (CS) theory with non-compact gauge groups. A connected component of the phase space of PSL(2,R) CS theory is identified with Teichmüller space, and its quantum theory corresponds to a specic class of unitary mapping class group representations in infinite dimensional Hilbert spaces. By using quantum Teichmüller Theory (qTT), Andersen and Kashaev construct a one parameter family of TQFT's dened on certain shaped triangulated pseudo 3-manifolds. On the other hand, Teichmüller theory has an interesting generalization originating from the deformation theory of super Riemann surfaces which initially was motivated by super string perturbation theory. In the super generalized case, the gauge groups is replaced by the super group OSP(1|2). Recently, qTT of super Riemann surfaces has been constructed by using coordinates associated to the ideal triangulations of super Riemann surfaces. To this date, we lack mathematical understanding of TQFT's with non-compact super gauge groups. This proposal aims to construct and study TQFT's based on super qTT as follows: Construction of the tetrahedral partition functions from the mapping class groupiod representations of super qTT using a version of charging, establish tetrahedral symmetries and prove well-denedness and topological invariance for a certain class of triangulated shaped pseudo 3-manifolds and finally make calculations for different examples. These results are expected to build a bridge between very different areas of mathematics, thus possibly opening new research gates completely inspired by physics.

Keywords: teichm ller theory,quantum group,hyperbolic geometry,tqft,complex chern,simons,super riemann surfaces,supergroup,super algebra
Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding (CALCULUS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Belgium
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-09-01
End date: 2024-09-30
Duration (months): 73.0
Total project cost (EUR): 2227500.0
EU funding (EUR): 2227500.0
Participants: 1
Project status: SIGNED

Natural language understanding (NLU) by the machine is of large scientific, economic and social value. Humans perform the NLU task in an efficient way by relying on their capability to imagine or anticipate situations. They engage commonsense and world knowledge that is often acquired through perceptual experiences to make explicit what is left implicit in language. Inspired by these characteristics CALCULUS will design, implement and evaluate innovative paradigms supporting NLU, where it will combine old but powerful ideas for language understanding from the early days of artificial intelligence with new approaches from machine learning. The project focuses on the effective learning of anticipatory, continuous, non-symbolic representations of event frames and narrative structures of events that are trained on language and visual data. The grammatical structure of language is grounded in the geometric structure of visual data while embodying aspects of commonsense and world knowledge. The reusable representations are evaluated in a selection of NLU tasks requiring efficient real-time retrieval of the representations and parsing of the targeted written texts. Finally, we will evaluate the inference potential of the anticipatory representations in situations not seen in the training data and when inferring spatial and temporal information in metric real world spaces that is not mentioned in the processed language. The machine learning methods focus on learning latent variable models relying on Bayesian probabilistic models and neural networks and focus on settings with limited training data that are manually annotated. The best models will be integrated in a demonstrator that translates the language of stories to events happening in a 3-D virtual world. The PI has interdisciplinary expertise in natural language processing, joint processing of language and visual data, information retrieval and machine learning needed for the successful realization of the project.

Keywords: joint processing of language and visual data,language understanding
OPTIMISATION OF ENERGY MARKET BY ARTIFICIAL INTELLIGENCE (OPENAI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2020-02, 2020)
Start date: 2020-11-01
End date: 2022-01-31
Duration (months): 15.0
Total project cost (EUR): 136607.14
EU funding (EUR): 95625.0
Participants: 1
Project status: CLOSED

Sensing & Control (S&C) has a customer energy management product, enControl™ that can be complemented with new Smart Grid functionalities that are expected to be developed in this proposal. The Smart Grids category covers solutions for the smart control and management of power networks and installations. The use of Artificial Intelligence techniques will enable to develop decision-making approaches based on multi-source information fusion, data predictive analytics, and to create a marketplace capable of joining and smart managing both energy supply and demand. Our objective through OPENAI is to contribute to the increase of energy efficiency with a specific focus on the Smart Grid functionalities. The European Union requires each Member State to deliver a fixed amount of end-use energy savings over the next 2021-2030 obligation period. Our main interest in this project is not only strategic considering our current product roadmap but also is a social objective since we can contribute to the climate solution. The transition to a low carbon economy, the digitalization of Power Grids and the decentralization of Power Generation are business innovation opportunities for S&C. Also, since 2019, S&C is part of the larger AMPER group which gives us access to clients from the Energy sector, in particular from the generation and distribution side. For the new functionalities within Smart Grid, the specialized skills / knowledge we are looking for in the Innovation Associate (IA) are the following with requirement to have a PhD in a combination with expertise in deep practical knowledge in sharing economy by using artificial intelligence, understanding of energy generation and distribution control systems, and experience in developing decision-making approaches and forecasting algorithms.

Keywords: samart grid,artificial intelligence,renewables,machine learning,power grid
Discretion and the child´s best interests in child protection (DISCRETION)

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: Norway
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-06-01
End date: 2023-05-31
Duration (months): 72.0
Total project cost (EUR): 1997918.0
EU funding (EUR): 1997918.0
Participants: 1
Project status: SIGNED

DISCRETION aims to unlock the black box of discretionary decision-making in child protection cases by a comparative-empirical study of how discretionary decisions are made and justified in the best interests of the child. There are huge research gaps in this important area of the welfare state, with a great deal of uncertainty concerning how, when and why discretionary decisions about the child´s best interests are different between decision-makers within and between child protection systems. The main objectives for this project are to reveal the mechanisms for exercising discretion, and improve the understanding of the principle of the child´s best interests. These objectives will be reached by systematically examining the role of institutional, organisational and individual factors including regulations of best interest principles; professions involved; type of courts; type of child protection system; demographic factors and individual values; and the populations’ view on children and paternalism. DISCRETION employs an innovative methodological approach, with multilevel and cross-country studies. DISCRETION will, by conducting the largest cross-national study on decision-making in child protection to date, lift our understanding of international differences in child protection to a new level. By conducting randomized survey experiments with both decision-makers in the system and the general population, DISCRETION generates unique data on the causal mechanisms explaining differences in discretionary decisions. The outcomes of DISCRETION are important because societies are at a crossroad when it comes to how children are treated and how their rights are respected, which creates tensions in the traditional relationship between the family and the state. DISCRETION will move beyond the field of child protection and provide important insights into the exercise of discretion in all areas where the public interest as well as national interest must be interpreted.

Keywords: children s rights,child protection systems,discretionary reasoning,paternalism,social legal decision making