Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Strategic Uncertainty: An Experimental Investigation (SUExp)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2018-11-01
End date: 2024-10-31
Duration (months): 72.0
Total project cost (EUR): 1357946.0
EU funding (EUR): 1357946.0
Participants: 1
Project status: SIGNED

Understanding how individuals or groups interact is at the core of virtually every economic and social problem. A central difficulty in studying such interactions is the fact that in practice, players face strategic uncertainty. This uncertainty – uncertainty about how others play the game – is important for determining one’s own behaviour. This proposal is a broad attempt to bring strategic uncertainty to bear on game theory. The basic premise of this proposal is that, in a wide variety of situations, actors reason under direct forms of strategic uncertainty – forms of strategic uncertainty that are not properly captured by standard equilibrium analysis. While there is a strong theoretical tradition geared towards the investigation of strategic uncertainty (Epistemic Game Theory), there have been few attempts to empirically investigate the role of strategic uncertainty on behaviour. This research will deliver the first comprehensive empirical study of direct strategic uncertainty. This research program will use the tools of Experimental Economics to investigate the sources of direct strategic uncertainty, how players reason under strategic uncertainty, and the implications for game theoretic models. My proposal will provide evidence and theory on five research themes: i) Is uncertainty about the bounded reasoning of others a source of direct strategic uncertainty? ii) Are there are other sources of strategic uncertainty in bounded reasoning models? What happens if you believe others are more sophisticated than you? iii) How do people reason when facing strategic uncertainty? Does stochastic choice play a role in uncertain situations? iv) How do we incorporate strategic uncertainty into game theoretic models? Can we develop models that are predictive as well as explanatory? And, v) What is the role of strategic uncertainty in dynamic games? In particular, does direct strategic uncertainty cause delays in bargaining?

Keywords: strategic uncertainty,behavioral game theory,epistemic game theory,bounded reasoning bounded rationality,level k,cognitive hierarchy
Building Capacity for Design enabled Innovation in Urban Environments (DESIGNSCAPES)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Coordination and support actions
Countries involved: Spain,Italy,Germany,Italy,Bulgaria,Greece,France,Netherlands,Denmark,United Kingdom,Portugal,United Kingdom
Call: User-driven innovation: value creation through design-enabled innovation (H2020-SC6-CO-CREATION-2016-3, 2016)
Start date: 2017-06-01
End date: 2021-09-30
Duration (months): 52.0
Total project cost (EUR): 3974936.25
EU funding (EUR): 3974936.25
Participants: 12
Project status: CLOSED

Innovation is relevant not only to economic sustainability but also to social and cultural life. Therefore, the creation of an organizational climate enabling and catalyzing innovation deserves special attention and needs to be explored from a sound operational perspective. Cities embed this organizational climate (Jacobs, 1969) and are by nature innovation generative systems. It is within this perspective that the DESIGNSCAPES project aims to realize a better uptake, and further enhancement and upscaling, of Design enabled Innovation in Europe, through direct financial support to flagship and innovation generating initiatives as well as a huge capacity building effort targeting multiple stakeholder groups (citizens, researchers, practitioners, innovators and policy makers). In so doing, we will foster the linkages between research, policy and practice and contribute to making Europe a global leader in the domain. The main features of the DESIGNSCAPES project are the following: - It builds upon the generative potential of innovation in cities - It leverages Design Thinking and Design Driven Innovation concepts as blueprints. - It has a direct and purposeful focus on the scalability potential of Design enabled Innovation - It proposes an original, holistic, evaluation, replication and impacts assessment framework. - It makes use of a “supportive governance approach”. Expected results include: a City Snap Shot tested in 10 countries and 12 cities, a EU Catalogue of Design enabled innovations, Training Modules for local facilitators and innovators, Policy Briefs, e-Publications and a final Conference. Approximately €1.5 million will distributed among 50+ new Design enabled initiatives as required by the H2020 call through 3 consecutive yearly rounds of a 3-staged Technical and Financial instrument akin to the US and NL SBIR program and the SME instrument of the EC.

Keywords: design,city,innovation generation,capacity building,ecosystem
International Training Network for Statistics in High Energy Physics and Society (INSIGHTS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Germany,Italy,Italy,Germany,Italy,Norway,Sweden,Russian Federation,Switzerland,Norway,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-09-01
End date: 2022-02-28
Duration (months): 54.0
Total project cost (EUR): 3014504.46
EU funding (EUR): 3014504.46
Participants: 20
Project status: CLOSED

The INSIGHTS Innovative Training Network will develop advanced statistical methods, implement them in software, and apply them to solve problems in Particle Physics and other fields. In doing so, we will create the next generation of experts not only able to investigate Nature's fundamental particles but also to solve problems of broad relevance to society. The analysis of data collected in Particle Physics experiments such as those at the Large Hadron Collider (LHC) poses tremendous challenges, and advanced statistical methods have proven to be key elements of recent advances in the field. INSIGHTS will enable significant further progress with particular emphasis on multivariate analysis, parametric modelling and Bayesian computation. We will ensure that the statistical tools can cope with the complexities of real experimental settings by using them in actual analyses, such as searches for new fundamental particles at the LHC. In carrying out the proposed research, INSIGHTS will train a cohort of physicists in modern statistical methods and establish collaborations and educational structures that will continue long into the future. In particular we plan to establish a new Pan-European Advanced School of Statistics, which will take the training of EU researchers to a higher level. The participating institutes in INSIGHTS have a successful track record of and innovation and education in statistical data analysis, and their expertise will form the core of the training provided. In addition, secondments with partners in other disciplines such as Finance, Climate Science and Volcanology will allow participants to view statistical and computational problems from multiple viewpoints and to exchange ideas between these areas and Particle Physics.

Keywords: higgs,atlas,mcmc,bayes,root,dark matter,new physics
THE AFTERMATH OF THE EAST ASIAN WAR OF 1592-1598. (Aftermath)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: Spain,United Kingdom,United Kingdom
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-11-01
End date: 2024-10-31
Duration (months): 72.0
Total project cost (EUR): 1444980.0
EU funding (EUR): 1426801.24
Participants: 3
Project status: SIGNED

Aftermath seeks to understand the legacy of the East Asian War of 1592-1598. This conflict involved over 500,000 combatants from Japan, China, and Korea; up to 100,000 Korean civilians were abducted to Japan. The war caused momentous demographic upheaval and widespread destruction, but also had long-lasting cultural impact as a result of the removal to Japan of Korean technology and skilled labourers. The conflict and its aftermath bear striking parallels to events in East Asia during World War 2, and memories of the 16th century war remain deeply resonant in the region. However, the war and its immediate aftermath are also significant because they occurred at the juncture of periods often characterized as “medieval” and “early modern” in the East Asian case. What were the implications for the social, economic, and cultural contours of early modern East Asia? What can this conflict tell us about war “aftermath” across historical periods and about such periodization itself? There is little Western scholarship on the war and few studies in any language cross linguistic, disciplinary, and national boundaries to achieve a regional perspective that reflects the interconnected history of East Asia. Aftermath will radically alter our understanding of the region’s history by providing the first analysis of the state of East Asia as a result of the war. The focus will be on the period up to the middle of the 17th century, but not precluding ongoing effects. The team, with expertise covering Japan, Korea, and China, will investigate three themes: the movement of people and demographic change, the impact on the natural environment, and technological diffusion. The project will be the first large scale investigation to use Japanese, Korean, and Chinese sources to understand the war’s aftermath. It will broaden understandings of the early modern world, and push the boundaries of war legacy studies by exploring the meanings of “aftermath” in the early modern East Asian context.

Keywords: japan,korea,china,east asian history
Innovative lightweight sustainable solutions for additively manufactured aircraft interior parts (3DTRAY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Spain
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-07-01
End date: 2017-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

As resource efficiency becomes an increasingly important factor in the aviation industry, there is an ongoing search in Europe for more innovative solutions to reduce fuel consumption and contaminant emissions. The goal of the overall innovation project is to bring to market additively manufactured (AM) aircraft interior parts with lower weight (above 20% reduction) than traditional parts, through an innovative design. Replacing this product on a large European fleet could save per annum more than 640.000 € on fuel and reduce CO2 emissions on more than 2.200 metric tons. Other major savings on taxes for emissions, warehouse and logistic costs, and on more efficient business and operations processes will also be achieved. Potential users are airlines, maintenance organisations and aircraft and seat manufacturers. Customers benefit from cost reduction, increase of turnover or gain competitive advantage through products and processes optimization. Needs that will be fulfilled are lightweight parts, alignment of offer to demand, customization, faster R&D cycles, shorter manufacturing times, cost-effective low volume series production and delocalization of production. Preliminary market studies show that no similar solutions are offered by SMEs in Europe. After initial pricing analysis we could offer prices similar to traditional ones. For a single product type (aircraft economy tray table), we foresee an annual turnover of 25m€ after 5 years of commercialization in Europe, with a 4% global market share, recruiting 23 employees. Outcome of phase 1 should deliver a strong and viable proposition for commercialization for targeted users, including potential partners for supply chain, certification roadmap, IPR considerations, financial accurate forecasts and commercial strategy. Preliminary analysis and results prior to this feasibility report would be used to deliver the complete business plan. Potential funding for Phase 2 might be requested.

Keywords: additive manufacturing
Proactive Brain State Regulation: a closed-loop brain-state dependent stimulation approach (Ctrl Code)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-07
End date: 2021-05-09
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

I propose to adopt a novel closed-loop brain stimulation (cl-BSDS) approach to test the possibility to proactively induce optimal brain state (attention enhancement) at time t+1 knowing the brain activity-behaviour relation at time t (post-conflict adjustments). The idea to use cognitive conflict to trigger attention adjustments might appear as a paradox; however behavioural data suggest that after the experience of cognitive conflict (i.e. when competing responses must be overcome) performance is better. Since the loop between cognitive conflict and attention adjustment seems to be a natural mechanisms used by the brain for flexible behaviour, we suggest to test the specific hypothesis that post conflict attention adjustments are implemented in a preparatory way from one trial to the next (WP1) and to capitalize on this mechanism to test, in real-time, to what extend the frontal-parietal interactions lend themselves to (a) implement a self-regulative brain state, with (b) potential impact on participants’ performance (WP2). This approach will be an innovative way to investigate on-line brain functions (cl-BSDS), taking into account the value of brain oscillations in encoding and determining behaviour, and generating new testable hypotheses in the field of cognitive control. Ctrl Code will provide the proof-of concept for optimizing self-regulative brain functions (conflict/attention loop) in order to develop person-centred solutions for attention boosting non-invasively. It will not need active training (vs. neuro-feedback), thus overcoming one of the strongest limitations of standard treatments, since it will capitalize on a natural context (post-conflict attention adjustments) spontaneously generated by the brain.

Keywords: cognitive conflict,attention,brain oscillations,alpha,theta,closed loop brain state dependent stimulation,neural self regulation
Linking Up Environment, Health and Climate for Inter-sector Health Promotion and Disease Prevention in a Rapidly Changing Environment (BlueHealth)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Preventing disease
Action type: Research and Innovation actions
Countries involved: Estonia,Spain,Italy,Italy,Greece,Sweden,Switzerland,Netherlands,United Kingdom
Call: Health promotion and disease prevention: improved inter-sector co-operation for environment and health based interventions (H2020-PHC-2015-two-stage, 2015)
Start date: 2016-01-01
End date: 2020-12-31
Duration (months): 60.0
Total project cost (EUR): 5998671.25
EU funding (EUR): 5998671.25
Participants: 10
Project status: CLOSED

The BlueHealth Consortium brings together a multi-disciplinary team of experts reaching across all 28 European Union countries. The proposed 5 year BlueHealth Project takes an international, interdisciplinary and multi-sector approach to health promotion and disease prevention by investigating the relationship between the EU’s ‘blue infrastructure’ and the health and well-being of its citizens. Blue infrastructure refers to the network of natural and man-made aquatic environments providing a range of multi-sectorial services (e.g. transportation, fresh water provision). There has been no systematic attempt to detail the potential impacts of our blue infrastructure on health promotion and disease prevention, nor to develop guidelines on how health should be considered when developing blue infrastructure interventions, particularly across sectors. BlueHealth will address this gap. The majority of Europeans live in cities built on inland waterways, lakes, or the coasts. BlueHealth will focus on urban blue infrastructures. The EU’s blue infrastructure offers significant health and well-being related opportunities and benefits (eg urban cooling, recreation), but also challenges and stressors (eg flooding, microbial/chemical pollution). BlueHealth will investigate these trade-offs, with the aims of quantifying the impacts on population health and well-being of interventions and policy initiatives connected to blue infrastructure, and identifying success factors and obstacles of inter-sectorial collaborations. Assessments of health and environment benefits, risks and costs will improve our understanding of the role of urban blue infrastructures on across-sector health promotion and disease prevention. The Partners have collaborations across the Environment, Health, and Climate sectors, and extensive experience with inter-institutional, multi-sectorial, interdisciplinary research programmes employing innovation, stakeholder engagement, dissemination, and policy impact.

Keywords: natural environment,urban,wellbeing,ecosystem services,economic valuation,policy impacts,stakeholder engagement,dissemination,transportation,water,environmental stressors
PieceOfCake: an AI-driven chatbot to manage complex business data (POC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The complexity of business data (accounting, marketing, etc.) requires technical skills to handle and process it. However, the roles in a company that need this information to operate are usually different from the ones with those technical skills, also known as business analysts. Third-party solutions or in-house IT departments provide dashboards and reports to fill the gap. Nevertheless, this methodology is (1) expensive in terms of IT time devoted to implementation and maintenance, (2) rigid and difficult to adapt to the particular work-flow of each company, (3) slow and tedious to use. These issues can weigh down a company and translate into lost business opportunities. We propose PieceOfCake, a trained Artificial Intelligence (AI) system that allows the use of Natural Language (NL) to access complex data. Questions like “How many users visited our web during last week for the first time?” will be automatically answered in the form of NL and graphs. Our product will change the way data-driven companies operate. Mid-level managers and interdisciplinary roles (e.g. marketing) are examples of positions that will highly benefit from it. PieceOfCake will outperform traditional dashboards in terms of ease of use, agility, and speed. It will disrupt strategic decision-making and drastically reduce IT costs. It will also allow small enterprises and self-employees to keep pace with the AI wave. The feasibility study will identify which vertical (marketing, analytics, etc.) offers a higher market opportunity, what monetisation strategies work better (SaaS, white-labeling, tailored customers, etc.), and what market segment better accept our strategy. Given the expected impact AI will have in global economy, we believe our project is crucial to the competitiveness of Europe against Asia and United States.

Keywords: artificial intelligence,natural language processor,chatbot,conversational bot,machine learning,business intelligence,business data analysis,analytics
Study the therapeutic and preventive potential of targeting oncogenic mutations with CRISPR-Cas9 technology (Genetic Vaccine)

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: Life Sciences
Countries involved: Spain
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): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: CLOSED

Genome editing has enriched our understanding of mechanisms of the human pathology. Genome editing took a significant advance with the recent development of the CRISPR-Cas9 technology. CRISPR is an acronym for: Clustered Regularly Interspaced Short Palindromic Repeats and it is an adaptation of a prokaryotic functional system. It uses a single guide RNA to direct Cas9 activity to a specific part of the genome, therefore, this system can be used for gene editing and regulation. Cancer is a genetic disease where some DNA-damaged cells begin to divide without stopping and spread into surrounding tissues. Interestingly, in some tumors, there is a dependency of a single oncogenic activity (oncogene addiction). This phenomenon indicates that mutations in key oncogenes (driver mutation) are able to drive carcinogenesis and maintain the tumor phenotype. Suggestively, if we can prevent or disrupt these mutations, we can difficult carcinogenesis or damage an established tumoral phenotype. In this proposal, we seek out for using Crispr-Cas9 technology to target driver mutations and evaluate its therapeutic and preventive value. To develop a proof of concept, we will focus on lung cancer driven by KRAS mutations. The generating of a transgenic mouse expressing Crispr-Cas9 designed to target the mutation Kras C12C will allow us to test the potential cancer-resistant phenotype and raise the concept of Genetic Vaccines.

Keywords: cancer,lung adenocarcinoma,crispr cas9,mutation,oncogene