Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Technology Transfer between Integer Programming and Efficient Algorithms (TIPEA)

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-2019-STG, 2019)
Start date: 2019-12-01
End date: 2024-11-30
Duration (months): 60.0
Total project cost (EUR): 1499375.0
EU funding (EUR): 1499375.0
Participants: 1
Project status: SIGNED

This project aims to resolve challenging integer programming problems in exact and approximate settings, with a focus on Knapsack-type problems (such as Subset Sum, Partition, and Knapsack). To this end, we will develop a unified approach of algorithm design as a combination of algorithmic tools, structural theory, and conditional lower bounds. Specific tasks include: - utilizing recent advances in efficient algorithms, since although Knapsack-type algorithms are NP-hard their main challenges ask for polynomial improvements in running time, - leveraging structural results from additive combinatorics for the design of algorithms for problems of additive nature, such as Knapsack-type problems, and - using and expanding fine-grained complexity theory to explain the limits of algorithms by proving conditional lower bounds based on plausible conjectures. In particular, our combination of modern algorithmic techniques and structural results on the one hand, and conditional lower bounds on the other hand, allows us to aim at best-possible algorithms (conditional on plausible conjectures). We also plan to transfer techniques in the other direction (from integer programming to efficient algorithms), by using the insights of practical integer programming solvers to obtain highly-efficient implementations for selected polynomial-time problems. Designing best-possible algorithms for one of the Knapsack-type problems will already be groundbreaking, and complete resolution of our goals would be dramatic algorithmic progress with consequences in computer science, optimization, and operations research.

Keywords: knapsack,subset sum,algorithms,fine grained complexity theory,additive combinatorics
Appraising and accelerating theoretical progress in memory modification research with meta-science, Bayesian statistics, and an open-collaborative approach. (AAT)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-04-20
End date: 2022-08-02
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: CLOSED

This fellowship will involve appraising and accelerating theoretical progress in memory modification research with Bayesian statistics, collaboration, and open science. I have proposed an ambitious and innovative research agenda that complements my existing knowledge and skillset (memory modification, meta-science, open science) with the expertise of my prospective supervisor (Bayesian statistics, open science, collaborative science). Theoretical progress in the field of memory modification has stalled due to problems with the credibility of the published literature. Issues include small sample sizes, a lack of transparency, and low theoretical diagnosticity. Additionally, the predominant use of frequentist statistics limits opportunities for informative statistical inferences, particularly quantifying evidence for the null hypothesis. The proposed research will involve a systematic appraisal of the memory modification field using Bayesian statistics and a consortium project based on open science principles to accelerate theoretical progress. The procedures developed could be usefully extended to other research areas through collaboration with domain experts. This research agenda will provide me with ample training opportunities to develop a strong repertoire of statistical, methodological, and transferable skills. I will be in an excellent position to enrich my unique research portfolio and publish research outputs in high quality open access outlets. The mobility and reintegration aspects of the fellowship will be especially beneficial in helping me to consolidate existing European collaborations and develop new professional relationships in the Netherlands’ burgeoning meta-science network. In sum, the fellowship will provide me with the training and opportunities I need to lay the foundations of my career as an independent scientist, eventually leading my own European research group at the intersection of experimental psychology and meta-research.

Keywords: memory modification,memory updating,reconsolidation,bayesian statistics,open science,collaboration,meta science,theory,bias,replication,pre registration,open data
Preparatory action to Boost Global Crop Yield for Food & Nutrition Security and fueling a Bioeconomy (CropBooster-P)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Coordination and support actions
Countries involved: Germany,Germany,Italy,Belgium,Romania,Belgium,France,France,Netherlands,Denmark,United Kingdom,United Kingdom
Call: Future proofing our plants (H2020-SFS-2018-1, 2018)
Start date: 2018-11-01
End date: 2022-04-30
Duration (months): 42.0
Total project cost (EUR): 2996942.5
EU funding (EUR): 2996942.5
Participants: 18
Project status: CLOSED

Increasing global crop productivity will be central in meeting some of the greatest challenges facing mankind: How will we sustainably feed 9.7 billion people by 2050, while also achieving the transition from a fossil economy towards a bio-economy in order to mitigate, or possibly reverse, the effects of global climate change? How can we assure and maintain the nutritional quality of our future crops? Additionally, how can we provide new crop cultivars adapted to the constraints imposed across vast areas by climate change? A doubling of global crop productivity is required to produce enough plant biomass to achieve food and nutrition security, as well as to meet the demands of a future bioeconomy. To ensure both Food and Nutrition Security this increase in crop production must be achieved without any loss of nutritional quality. In addition, future agriculture will require crops that combine sustainability - they must efficiently using scarce resources like minerals and water and preserving Earth’s biodiversity - with a high resilience to adverse climate conditions. In order to meet these challenging demands, our current crop plants will have to be re-designed and a “future proof” profiling is urgently needed. With a multitude of possible crops and genetic changes, combined with multiple environmental changes, policy and societal challenges, progress could be mired in a seemingly insurmountable complexity. CropBooster-P will address this by identifying priorities and opportunities to adapting and boosting productivity to the environmental and societal changes. While engaging with the public from the beginning, and by mobilizing European plant sciences, our objective is to produce a White Paper – a Roadmap – that will describe the pathway to sustainably doubling Europe’s crop yields by 2050 and preparing these crops for the needs and the future climate of Europe

Keywords: food and nutrition security,bioeconomy,climate change,environment,quality,responsible research and innovation
Translational Research on Endometriosis (TRENDO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Argentina,Germany,Estonia,Estonia,Poland,Slovenia,Sweden,Netherlands
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2020, 2020)
Start date: 2021-08-01
End date: 2025-07-31
Duration (months): 48.0
Total project cost (EUR): 308200.0
EU funding (EUR): 308200.0
Participants: 9
Project status: SIGNED

Endometriosis is a sever disease affecting 10% of reproductive age women, characterized by the presence of endometrial-like tissue outside of uterus. Due to the associated pain, inertility and a small, but increased risk for developing ovarian cancer, its socioeconomic impacts are considerable, and have a profound effect on women’s mental and physical health. Endometriosis is characterized by a diagnostic delay of a decade, as its diagnosis is surgery-based, and all attempts to identify the non-invasive biomarkers have not been progressed beyond the discovery. Moreover, current treatments include only surgery or hormonal medications with significant side effects. In view of the above, the endometriosis care is challenging, and is hampered by the considerable heterogeneity of clinical manifestations. TRENDO consortium addresses the main problems in endometriosis diagnosis and therapy in a multidisciplinary and trans-sectoral effort, bringing together the clinical and translational science experts, and industry partners from six European and South American countries. We develop non-invasive biomarkers and testing, which shorten the diagnostic delay, and reduce the unequal access to expensive healthcare. These biomarkers are tested for the suitability as drug targets, to monitor treatment response, and to predict the personalized clinical recommendations. By combining the strengths of our partners, we provide novel tools addressing the most urgent priorities in endometriosis and to successfully translate our findings into novel therapeutic approaches. This challenging scientific task provides an ideal career-enhancing setting for young scientists, providing them with transdisciplinary and trans-domain training, and with essential transferable skills. The training program provides a new generation of researchers with a strong competitive advantage on the job market and increase European academic and industry competence in one of the under-investigated clinical domains.

Keywords: endometriosis,reproductive medicine,gynecology,pain,microrna,adult stem cells,animal,models,uterus,proteoglycans
National Communism as intellectual tradition and political program in Czechoslovakia (NATCOM)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Czechia
Call: Widening Fellowships (H2020-WF-03-2020, 2020)
Start date: 2022-03-01
End date: 2024-02-29
Duration (months): 24.0
Total project cost (EUR): 144980.64
EU funding (EUR): 144980.64
Participants: 1
Project status: SIGNED

The project National Communism (NATCOM) addresses the ambivalent and dynamic relations between communist ideology and nationalism. The project goal is to investigate how national communism, in its various stages, shaped the political, intellectual, and cultural development in Czechoslovakia during the “short 20th century”, from 1918 until the second half of the 1990s. National communism, as understood in this project, is a specific variety of communist thinking deeply rooted in the Eastern Central European (ECE) intellectual tradition. It is a crucial phenomenon that both predates and outlives the existence of the socialist dictatorships in the region. The investigation addresses the central question of how the complicated, ever-changing relations between communism and nationalism formed the development of the Czechoslovak socialist dictatorship and how the remodeled national communist agenda after 1989 influenced the post-communist transition. The main objects of the analysis are the nature of communist appeals to national legitimacy and the continuities between national communism and the “national populism” in the 1990s Eastern Central Europe. The research of national communism will look for continuities that survived the implementation of the new rules, the cases of adaptation, and evolution according to specific traditions. The main question is how the intellectual substance of national communism adapted to and also formed the changing reality. National communism will be analyzed with a specific focus on the Slovak part of the Czechoslovak Republic, in its interactions with the Czech and Hungarian environment. However, Slovak development is not understood as unique. NATCOM uses it as a case study identifying and providing distinct developmental traits typical for other former socialist dictatorships in ECE.

Keywords: national communism,eastern central europe,socialist dictatorship,post communist transition,intellectuals,continuity,illiberal democracy,czechoslovakia,slovakia,epistemic,community,ideology
Debate: Innovation as Performance in Late-Medieval Universities (DEBATE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: France
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-08-01
End date: 2024-07-31
Duration (months): 72.0
Total project cost (EUR): 1997976.0
EU funding (EUR): 1997976.0
Participants: 1
Project status: SIGNED

The switch from parchment to paper had a fundamental impact on later medieval universities, equivalent to the shift to Open Access today, hindering some intellectual practices while encouraging others. The DEBATE project identifies a neglected genre of latin texts that flourished on paper, the Principia, which record the public confrontations between candidates (socii) for the title of doctor. These debates, imposed by university statutes throughout Europe as annual exercises linked to lectures on the Sentences (the medieval parallel to our PhD thesis), forced the candidate to reveal his innovative theories (sheets of papers were exchanged among the socii beforehand), display his erudition and prove his intellectual prowess before a large audience. The futuristic discussion usually exceeded the confines of one discipline and allowed the bachelor to indulge his interdisciplinary interests, employing science, theology, mathematics, politics, literature, and rhetoric in his polemics against his colleagues. Principia thus reveal the cutting edge method of fostering science in later medieval universities. The DEBATE team intends to identify new manuscripts, edit the texts, establish authorship for anonymous fragments and propose an interpretation that will help explain how innovation was a primordial target in medieval academia. Putting together all the surviving texts of Principia produced in various cultural contexts, this project will provide a wealth of material that will bring about a basic change in our understanding of the mechanism of the production of academic knowledge in the early universities all around Europe.The project is designed to promote erudition by combining a palaeographical, codicological, editorial and hermeneutical approach, aiming to open an advanced area of inquiry focusing on an intellectual practice that bound together medieval universities from different geographical and cultural regions: Paris, Bologna, Vienna, Prague, Krakow and Cologne.

Keywords: medieval palaeography,edition of texts,intellectual history of medieval universities,tradition of medieval commentaries,medieval philosophy,medieval theology
Productive Spatial Accelerator Programming (PSAP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Switzerland
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 1980917.0
EU funding (EUR): 1980917.0
Participants: 1
Project status: SIGNED

We propose a productive and efficient programming model to overcome the challenges posed by the end of Moore’s law. Our model bases on a fundamentally new spatial viewpoint that considers the computational structure of applications. The growth of the computing industry as well as the development of society at large has relied for 50 years on an exponential scaling law that is now coming to an end. The combination of multiple specialized components into a fundamentally heterogeneous system is one of the most promising approaches that drives the IT industry. Latest advances in computer architecture and silicon design enable cost-effective specialized accelerators. Those range from single-purpose designs, such as deep neural network chips, to general purpose graphics processing units and are combined into complex systems. However, programming these heterogeneous spatial systems that range from single systems on chip to million-core supercomputers is a fundamental challenge of our time. Prevalent parallel programming abstractions largely ignore the structure of the computation and guide programmers to design threads of execution that are scheduled to the machine. We depart from this temporal model to a spatial formulation where we express programs as parametric graphs that are mapped as first-class objects by a human-guided compilation system. We ensure productivity by designing a Python-based frontend and integrate the system with modern web technology. Our programming, compilation, and tuning system will substantially advance the state of the art in computing by supporting the graphical mapping of program graphs to spatial accelerators. We will demonstrate our methods on three challenging real-world applications in important domains. We strongly believe that, without holistic spatial programming, the growing complexity and inefficiency of heterogeneous programming will create a scaling wall that will severely limit our future computational capabilities.

Keywords: high performance computing
Light effected autonomous molecular pumps: Towards active transporters and actuating materials (LEAPS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Italy
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-10-01
End date: 2023-03-31
Duration (months): 78.0
Total project cost (EUR): 2362950.0
EU funding (EUR): 2362950.0
Participants: 1
Project status: CLOSED

The crucial role played by molecular motors in major biological processes gives a clue on the potential of these nanoscale devices for technology. Their exploitation depends on our ability to build working and robust artificial systems, and to interface them with their environment or other molecular constructs for using the motion to carry out tasks. The goal of this project is to develop the first synthetic photochemical supramolecular pumps and to apply them for performing nanoscale transport functions and macroscopic actuation. The motor modules, which rely on a functioning and affordable minimalist design based on first principles and threaded topologies, operate autonomously away from equilibrium by using light as a clean energy source, can be switched on/off chemically, and are easy to make and functionalize. Appropriately designed motors will be embedded in the bilayer of vesicles to pump molecules across physically separated places, thereby photogenerating concentration gradients. In parallel we plan to arrange the pump modules in oligomeric tracks and investigate the autonomous, directional and processive displacement of a molecule over a few nm. These linear motors will be equipped with a cargo that can be loaded/unloaded with control, yielding the first man-made molecular transporters. Finally, we will integrate the pump components in polymeric scaffolds such that the photoinduced operation of the motors produces a non-equilibrium entanglement of the polymer chains, that can be eventually unravelled by chemical stimulation. Such materials may be used to convert, store, and reuse the energy of (sun)light upon demand. All the above functionalities are unprecedented for wholly synthetic chemical structures. Their demonstration would be a landmark result in supramolecular chemistry and nanoscience, and open up radically new directions for nanotechnology, nanomedicine, and energy conversion.

Keywords: azobenzene,bilayer membrane,energy conversion,liposome,molecular machine,molecular switch,motor protein,nanomedicine,nanoscience,non equilibrium systems,rotaxane,vesicle
The world’s first remote, automated training tool and autonomous diagnostics solution for independent and OEM car dealerships and automotive education centers (KG Pro 2.0)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

An average new car has more lines of code than Facebook and more micro-controllers than a fighter jet. Finding motor mechanics who understand complex electronics is a problem today. In the UK, for example, 80% of independent garages say they have trouble finding able technicians, and there will be an estimated 25,000 mechanics needed in the USA by 2020. This problem will intensify as electric vehicles (EVs) are increasingly on the road. Industry estimates predict up to 20 million EVs in circulation by 2020 . There is an urgent need for education and training to update technicians’ skills with EV technology. Automotive training is still mostly done the same way as decades ago: with a teacher in a training center using brand-specific training simulators. Our core innovation, the KG System, is a patent-pending hardware module that can connect to any car brand/model, plus a software platform and mobile app that connects instructors to technicians anywhere in the world. The instructor remotely controls the module to activate failure simulations on the cars that the technicians are training with - a breakthrough, highly scalable and practical coaching approach. KG Pro 2.0 will take our technology to a new level, with fully remote and autonomous training, and automated diagnosis, in line with sector trends and needs. The EU automotive aftermarket is currently worth €221Bn, with opportunities for new digital, automated and autonomous solutions. KG Protech is an award-winning startup based in the UK, France and Brazil. Our technology and subscription-based business model have been validated by our trial users: car manufacturers, car dealerships and automotive education centers. The main objectives of phase 1 are to refine our go-to-market plan, mitigate risks, and to plan and allocate resources for the commercialization of KG 2.0. We project an annual revenue of €31M by 2022, and the addition of 72 full time employees over the same period.

Keywords: diagnostics,training