Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Topological states in superconducting two-dimensional electron gases (Topo2DEG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-03-01
End date: 2024-08-31
Duration (months): 66.0
Total project cost (EUR): 1999916.0
EU funding (EUR): 1999916.0
Participants: 1
Project status: SIGNED

I will experimentally investigate hybrid superconductor/semiconductor devices for realizing novel topological states of matter, with interest both in fundamental physics and quantum computing applications. Common denominator of the proposed experiments is a regime where the characteristic energy scales of the system, namely Fermi energy, spin orbit interaction correction, superconducting gap and Zeeman splitting are comparable to each other, resulting in unique and mostly uncharted physical territories. Differently from the most widespread use of semiconductor nanowires coupled to superconductors, I will employ novel hybrid two-dimensional electron gases (2DEGs) where the superconductor is grown in-situ and matched to the semiconductor lattice. This novel system was mainly developed by the team I supervise, during the last two years. Compared to the conventional nanowire-based approach, hybrid 2DEGs are readily available, characterized by very low disorder and more amenable to complex sample designs. The work will focus on: 1) Taking full advantage of the planar geometry to study spatial and non-local properties of individual Majorana wires, as well as branched geometries. These experiments will constitute critical tests to establish if the commonly observed zero bias peaks are indeed associated with Majorana modes and pave the way to complex networks of interacting Majorana wires, a requirement for quantum computing. 2) Studying topological phenomena in multi-terminal Josephson junctions (JJs), with particular emphasis on tuning the superconducting phase difference across electrodes pairs. Topological JJs offer a new and possibly advantageous path forward to create and manipulate Majorana modes not explored up to date, including the possibility to reach the topological regime for vanishing small external magnetic fields, useful for applications. Success of the proposal will constitute a key step forward towards topological quantum computing.

Keywords: topological superconductivity,majorana modes,two dimensional electron gas
FuturePulse: Multimodal Predictive Analytics and Recommendation Services for the Music Industry (FuturePulse)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Belgium,Greece,Greece,Sweden,Sweden,France,France
Call: Media and content convergence (H2020-ICT-2016-2, 2016)
Start date: 2017-09-01
End date: 2020-11-30
Duration (months): 39.0
Total project cost (EUR): 2898875.0
EU funding (EUR): 2249150.0
Participants: 9
Project status: CLOSED

Music is one of the fastest evolving media industries, currently undergoing a transformation at the nexus of music streaming, social media and convergence technologies. As a result, the music industry has become a mixed economy of diverse consumer channels and revenue streams, as well as disruptive innovations based on new services and content distribution models. In this setting, music companies encounter daunting challenges in dealing successfully with the transition to the new field that is shaped by streaming music, social media and media convergence. The availability of huge music catalogues and choices has rendered the problems of recommendation and discovery as key in the competition for audience, while the continuous access to multiple sources of music consumption have resulted in a dynamic audience, characterized by a highly diverse set of tastes and volatility in preferences which also depend on the context of music consumption. To serve the increasingly complex needs of the music ecosystem, FuturePulse will develop and pilot test a novel, close to market music platform in three high-impact use cases: a) Record Labels, b) Live Music, c) Online Music Platforms. The project will help music companies leverage a variety of music data and content, ranging from broadcasters (TV, radio) and music streaming data, to sales statistics and streams of music-focused social media discussions, interactions and content, through sophisticated analytics and predictive modelling services to make highly informed business decisions, to better understand their audience and the music trends of the future, and ultimately to make music distribution more effective and profitable. FuturePulse will offer these capabilities over a user-friendly, highly intuitive and visual web solution that will enable the immersion of music professionals in the realm of music data, and will support them to make highly informed and effective business decisions.

Keywords: predictive analytics,music industry,music recommendation,music delivery,music streaming
Reinterpreting how forests support people's dietary quality in low-income countries (FORESTDIET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Denmark
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1447389.0
EU funding (EUR): 1447389.0
Participants: 1
Project status: SIGNED

Two billion people across the planet suffer from nutrient deficiencies. Dietary diversification is key to solving this problem, yet food security policy, especially in low-income countries, still focuses on increasing agricultural production and access to sufficient calories as the main solution. But calories are not all equal. Indeed, this approach has created a blind spot with respect to the role of forests, which are often overlooked but may be important for dietary diversification for the rural poor by providing wild foods, high-value products which can be sold and thereby enable food purchases, and fodder for livestock which then provide meat, milk and eggs as well as manure to improve agricultural production. This project will identify how forest loss and fragmentation affect people’s dietary quality. I will apply a cutting-edge multi-scale, multi-country, and data-rich approach. First, I will take a broad-scale perspective to explore where forest loss, forest fragmentation, and dietary changes are taking place and identify hotspots of forest change and deteriorating diets. To do so, I will spatially link publicly available household data on food consumption, with metrics on the proportion and spatial arrangement of forest from longitudinal datasets. Second, I will unravel the mechanisms linking forests and diets to develop a comprehensive framework on forest-diet linkages. Third, I will zoom in on selected sites in two countries and use in-depth fieldwork to elucidate causal relations between forests and dietary outcomes locally. The project will break new ground by providing the first generalizable empirical evidence of how and why forests influence dietary quality in low-income countries, thereby laying the ground for a shift in how we think about pathways to food security – that is, to move from conceptualizing food security as driven by agriculture alone to seeing it as dependent on socio-ecological interactions at the forest-agriculture nexus.

Keywords: forest loss,dietary diversity,food security,low income countries
Elevating European healthcare innovator ecosystems through integrated access to sector-specific market expertise, co-investments and services (EIT EIC CollabPilot)

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: Germany
Call: Ensuring greater synergies by testing new collaboration mechanisms between the EIT Innovation Communities and the Enhanced EIC Pilot in support of the the Green Deal and other Union policy priorities - Health (H2020-IBA-EIC-HEALTH-2020, 2020)
Start date: 2021-07-05
End date: 2023-01-04
Duration (months): 18.0
Total project cost (EUR): 1000000.0
EU funding (EUR): 1000000.0
Participants: 2
Project status: SIGNED

Building on the recommendations of the joint working group between EIC and EIT boards, as well as the letter of intent between digital, energy, climate KICs and EIC, this proposed action aims to ensure greater synergies by testing new collaboration mechanisms between EIT Health and the Enhanced EIC Pilot. The core element is a mechanism on how to promote and extend the benefits of EIT Health Accelerator programmes to EIC projects that have received the ‘Seal of Excellence’. It will include networking, matchmaking and advisory activities, like the European Health Catapult events, to increase connectedness among players in the broad innovation ecosystem around EIT Health, and the innovators' ecosystem provided by the EIC. The primary goal of the collaboration will be to enhance Europe’s support of diversity, digital health and technological innovation, aligned with the Commission’s principles. To this end, the EIT Health Network and its expertise in health will be utilised in Programs for all stages of start-up maturity. The EIT Health Bootcamp programmes will support EIC Pathfinder Innovators in creating and validating strong health sector-specific business plans. EIT Health Clusters, Accelerators and Incubators will help EIC Accelerator start-ups expand into new markets through the Bridgehead Programme. The EIT Health Gold Track will help EIC Accelerator start-ups with massive growth potential to develop and implement a clear strategy for global expansion. The action proposed will also explore possibilities and modalities of co-investment in the context of the EIC Fund and Accelerator pilot and the EIT Health Access to Finance instruments, including Crowdfunding, Investor Network or the Venture Centre of Excellence We will also encourage the most innovative businesses stemming from the EIT Health network to apply to the Enhanced EIC Pilot, and will channel or fast-track them to create a pipeline of impactful innovations.

Keywords: co investment,systematic integration,eu competitiveness,investment facilitator
Early Microbial Evolution (eMicrobevol)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-11-01
End date: 2020-10-31
Duration (months): 60.0
Total project cost (EUR): 2393447.5
EU funding (EUR): 2393447.5
Participants: 1
Project status: CLOSED

From the primordial emergence of the earliest cells to the ongoing diversification of modern microbiota, the mechanisms that underlie the origin of major prokaryotic groups are still poorly understood. In principle, the origin of both species and higher taxa among prokaryotes should entail similar mechanisms — ecological interactions with the environment paired with natural genetic variation involving lineage-specific gene innovations and lineage-specific gene acquisitions. Because eukaryotes started out as a prokaryote lineage, the same holds true at the prokaryote-eukaryote transition. Prokaryotic higher taxa are currently circumscribed by phylogenomic studies encompassing 30-40 proteins for information processing that are universal to all genomes, or nearly so. The core is useful in taxonomy but comprises only about 1% of an average genome. It does not predict gene content in the remaining 99% of the genome, because of the role of lateral gene transfer (LGT) in generating diversity within and between prokaryotic groups. Especially in groups with large pangenomes or broad ecological diversity, the core itself does not reveal which gene innovations underlie the origin of major groups, but gene distributions might. This proposal aims to harness all the evolutionary data that genomes have to offer — gene trees, gene distributions, and split distributions across sets of trees — to chart the history of the 99% component of microbial genome evolution and the role of LGT in the origin of higher microbial taxa. The focus is on three important questions: i) What are the quantitative and lineage specific relative contributions of gene transfer from endosymbionts vs. gene transfers from other prokaryotes during eukaryotic genome evolution, ii) Are there significant differences in verticality in comparisons of genome evolution in prokaryotes vs. eukaryotes and how can we statistically better quantify them, and iii) What was the biological nature of the earliest prokaryotes.

Keywords: endosymbiosis,gene transfer in evolution,lateral gene transfer,eukaryote origins,early evolution,anaerobes,acetogens,methanogens,major transitions in microbial evolution
Prediction and Anticipation of Actions: Modelling How We Foresee the Others (PREDACTION)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-02-01
End date: 2018-01-31
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

The ability to understand and predict the actions of others is critical for human social interaction but how the brain accomplishes this function is still poorly understood. This project will explore this fundamental question using an original and innovative approach, by studying how we anticipate the actions of others before they even start to act. The final aim will be to develop a model that integrates different forms of information available before the action starts with kinematic features available once the action has started. To achieve this aim, we will use a combination of EEG/ERP and fMRI that will be integrated through the use of sophisticated source localization software and analysis to obtain a complete picture of when and where each mechanism becomes informative in the brain. This project will shed new light on the study of social cognition by unraveling little studied but crucial aspects of action understanding and prediction. In addition to opening new grounds in the field of social neuroscience and adding theoretical and methodological expertise to my skill-set, the findings and the resultant model of action prediction and social interaction will be useful also beyond social neuroscience. The project could contribute to technological development in the brain computer interface and social robotics fields (e.g. building robots able to smoother interactions), as well as be applied to the understanding of social deficits in psychiatric disorders (i.e. autism and schizophrenic patients). The Social Brain Lab at the Netherlands Institute for Neuroscience (NIN) represents the most suitable environment for this project by providing: world expert in the field of action observation with prominent expertise in the fMRI and EEG techniques (C.Keysers and V. Gazzola); all the technical facilities necessary for the success of the project; a world leading neuroscience community present at the NIN that will contribute to my further training and project development.

Keywords: action prediction,action anticipation,motor preparation,modeling,fmri coregistration,spatio temporal integration,fmri training
Smart interoperable electronic active valve, control eco-system and service to achieve superior building efficiency and user awareness (SMARTCIM)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Italy
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-2-2015, 2015)
Start date: 2015-08-01
End date: 2017-07-31
Duration (months): 24.0
Total project cost (EUR): 2302000.0
EU funding (EUR): 1611400.0
Participants: 1
Project status: CLOSED

The business project relates to the development of an innovative product-service offer that intends to revolutionise the hydronic market. SmartCIM value proposition aims at transforming water distribution valves from simple actuators of the HVAC distribution systems into smart active nodes that can control with great accuracy quantities flowing through and interoperate with other components of the system (coils, thermostat, pumps) in such a way as to deliver the exact amounts of heat/cooling in each zone served with minimal amount of water and losses. In a nutshell, smart valves to enable smart, efficient HVAC plants. Valve technology is unique for the deep integration of sensors and actuators, software eco-system makes the valve interoperable with other hydronic components, enables seamless implementation of advanced controls and allows monitoring from the internet. SmartCIM is the first valve with IoT features, including monitoring/user feedback on mobile devices Benefits in application are substantial in terms of savings, ease of installation, lead time for commissioning, comfort and awareness of final users. CAPEX pays back shortly, especially for cooling applications. The system is particularly suitable for retrofit/renovation of existing buildings for many reasons: installation & commissioning can be modular (gradual renovations), retrofit can be made without stopping service in all the building, the system interoperates with third party hydronic systems, i.e. does not require to upgrade the rest of the plant. CIMBERIO has solid brand reputation, capacity to deliver and global presence. The business project is key for the strategy to become leader in higher value-added segments and is suitable to represent a game changer in the market

Keywords: hvac efficiency,building efficiency,building management systems,electronic valves,energy manitoring,consumption awareness
Twinning for European excellence in Island Biodiversity Genomics (iBioGen)

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: Spain,Cyprus,France,United Kingdom
Call: Twinning (H2020-WIDESPREAD-05-2017-Twinning, 2017)
Start date: 2018-09-01
End date: 2022-02-28
Duration (months): 42.0
Total project cost (EUR): 999320.0
EU funding (EUR): 999320.0
Participants: 4
Project status: CLOSED

Biodiversity genomics is transforming our understanding of biological diversity and leading to new discoveries that can limit biodiversity decline and therefore benefit human societies. Island biotas are highly vulnerable and thus require efficient conservation and sustainable development. They are also prime model systems for applied and fundamental research in organismal biology. iBioGen aims to significantly enhance the scientific and innovation performance of a Widening country (Cyprus) in biodiversity genomics, with focus on island biodiversity. As the third-largest island of the Mediterranean, Cyprus is an ideal site for island biodiversity research, but local capacity is currently lacking. iBioGen is recognising the great potential of novel DNA methodology for future island biodiversity research and the need for methodological unification and theoretical synthesis in this new field. Twinning of the University of Cyprus (UCY) with three internationally-leading partners in biodiversity genomics (NHM), island biodiversity research (CSIC) and biodiversity modelling (CNRS) will: (i) stimulate research excellence and international visibility of UCY, (ii) improve networking efficiency and interdisciplinarity, and (iii) have broad societal and environmental impact towards valuing and protecting island biodiversity. These objectives will be achieved through a set of training, networking and dissemination activities, including: staff exchanges, on-site training and an international summer school, international symposia on methodological unification and theoretical synthesis, outreach events directed towards biodiversity stakeholders and local communities. The expected impacts include an increase in scientific output and successful research proposal applications of UCY, establishment of an EU island network of Genomic Observatories, and integration of new technologies in biomonitoring and environmental policy at regional and EU level.

Keywords: island biodiversity,genomic observatories