Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Portable infrared biochemical sensor enabled by pixelated dielectric metasurfaces (POCSEL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2020-02-01
End date: 2022-01-31
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Mid-infrared spectroscopy is considered gold standard in bio-chemical analysis for both research and industry applications, providing chemical specificity, as well as a label-free and non-destructive way of accessing molecular structure on a wide range of samples. Currently available infrared (IR) sensor techniques rely on bulky and expensive Fourier transform infrared spectrometers or tunable light sources, which severely limits their use in field and practical applications. Therefore, there is a clear need for new optical sensing technologies capable of bringing the power of IR spectroscopy to miniaturized sensor devices at the point of care, which opens new business opportunities. The proposed ERC Proof of Concept project aims to realize a portable spectroscopic biochemical sensor by leveraging our recently invented nanophotonic technology enabled by pixelated dielectric metasurfaces. We will validate our sensor device for use with relevant biochemical samples related to medical diagnostics, food safety and environmental monitoring, and will integrate it into a technology demonstrator for testing of these compounds in the field. Our proposed spectroscopic sensor operates at much lower cost and in a more compact footprint compared to the current state-of-the art, opening up new application areas where no current point-of-care devices exist.

Keywords: mid infrared,point of care sensor,nanophotonics,metasurfaces
Migrant Descendants’ Intercultural Competence and their Recognition in the English and Italian Labour Market (MIDIC)

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-2018, 2018)
Start date: 2020-04-01
End date: 2022-07-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Migrant descendants (MD) represent an increasingly important share of the European workforce. Their multiple cultural belonging offers potential to develop intercultural competence (IC), a vital asset in contemporary labour markets. Surprisingly, neither migration studies nor literature on IC has ever examined this potential. Filling this gap is crucial if it is to make the most of the opportunities inherent to multi-ethnic societies whilst improving MD’s opportunities in the labour market. Through qualitative research, comparing UK and Italy, MIDIC explores: A) MD’s perceptions of their IC and its development; B) MD’s and employers’ perspectives on MD’s IC use in work organisations. In this way, it sheds light on MD’s IC features and on factors hindering or favouring their development and generates recommendations on how to best utilise this potential in work organisations. Dissemination activities will raise awareness of the contribution that MD could make to society. This interdisciplinary study combines contributions from literature on migration and on IC. It promises advancements in knowledge of MD’s integration and IC conceptualisation and lays the theoretical and methodological basis for a new research area on MD’s IC. The researcher possesses a solid background in migration studies that will be enhanced through collaboration with the Institute for Research into Superdiversity (IRiS) at the University of Birmingham (UoB) (host organisation), which specialises in the study of migration-led diversity through an interdisciplinary perspective. IRiS will support the researcher in strengthening her knowledge of qualitative research methods, extending her core skills and professional opportunities. Fondazione Mondinsieme (Mondinsieme) in Reggio Emilia (secondment organisation), an intercultural centre promoting intercultural communication and integration in society, will support the development of skills around dissemination and communication of research findings

Keywords: intercultural competence,migrant descendants,labour market
Who are we? Self-identity, Social Cognition, and Collective Intentionality (WE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Denmark
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2020-01-01
End date: 2025-12-31
Duration (months): 72.0
Total project cost (EUR): 2495406.25
EU funding (EUR): 2495406.0
Participants: 1
Project status: SIGNED

What does it mean to feel, think, and act as part of a we? During the last few decades, the topic of collective intentionality or we-intentionality has been much debated. However, the following foundational issues continue to remain underexplored and unresolved: • How is the we related to the self? • What does the fact that one can adopt a we-perspective tell us about the fluid character of selfhood? • What type of social cognition is required in order to identify with and share a perspective with others? • What kinds of interpersonal relations are at play in different we-formations? • What is the relation between a transient we and a persisting we, and between a we that connects particular individuals who are known to each other, and a we that involves identification with a more anonymous and impersonal group? The working hypothesis of WE is that a systematic account of the we must be embedded in a more comprehensive investigation of selfhood and social cognition. This hypothesis draws inspiration from and will engage with seminal contributions by figures in classical phenomenology. The project will combine systematic theorizing with historical scholarship, and will challenge existing disciplinary boundaries by interweaving work on self-identity, social cognition, and collective intentionality. It will break new theoretical ground by developing a systematically convincing, phenomenologically valid, and empirically relevant account of the complex interrelation between the we, the you, and the I. In doing so, it will offer a clarification of foundational issues in the humanities and social sciences, and facilitate a much-needed cross fertilization between philosophy and theoretical considerations in the social sciences. Given the recent upsurge of ethno-nationalism and identity thinking, a renewed critical reflection on the ontological and epistemological status of the we is of urgent societal significance.

Keywords: phenomenology,selfhood,second person engagement,collective intentionality,we identity
Smart Contract Analytics using Artificial Intelligence (SCAI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-04-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The current global market for contract management is estimated in more than € 937 million. Still, the activities involved in contract managing are mostly carried out manually, which entails challenges such as the tracking of deadlines, keeping up with changes in regulations and enforcing company policies, resulting in average costs of 9% of the company’s annual revenues. The only help that professionals have are basic and inefficient tools that do not cover the whole contract lifecycle, forcing professionals to use more than 6 different software tools to carry out their job. Our new solution SCAI, provides a complete and reliable tool for all professionals managing legal documents by identifying provisions and comparing them against regulations and company policies, thus saving 90% of the time needed for document review. Based on Artificial Intelligence, SCAI combines an advanced Machine Learning engine with Natural Language Processing, achieving a recognition accuracy similar to humans. In addition, SCAI provides multilingual support that allows to compare laws and policies across different languages, which makes it a truly unique solution that outcompetes existing solutions and which specially addresses the needs of European companies. Thanks to this project, we expect to expand and internationalise our product from Switzerland, where our company is based, to Germany and Austria in a first commercialization phase, followed by France and Belgium, UK, Ireland and Spain. We plan to have a customer base of 60 large companies and 200 medium companies after 3 years of commercialization.

Keywords: legaltech,legal tech,legal intelligence,contract management
Constrained Quantum Dynamics (ConsQuanDyn)

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: Germany
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 1498750.0
EU funding (EUR): 1498750.0
Participants: 1
Project status: SIGNED

Recently, tremendous progress has been made in exploring non-equilibrium dynamics of correlated quantum matter. The project ConsQuanDyn investigates the relaxation dynamics and the dynamical quantum phases, induced by parameter quenches or by periodic drive, in quantum matter with dynamically constrained excitations. Such constrained systems, which can be dual to gauge theories and host exotic topological order, have been recently realized in Rydberg quantum simulators and have a long tradition in condensed matter physics. However, it is an important open challenge to describe and understand their far-from-equilibrium dynamics. The central focus of the project ConsQuanDyn is to develop new concepts and new theoretical methods to study constrained quantum systems far from thermal equilibrium. The project has three principal objectives each of which would represent a major contribution to the field: (O1) To identify glassy dynamics and hydrodynamic transport in constrained quantum lattice gas, quantum dimer and fracton models. (O2) To demonstrate information scrambling and entanglement growth in constrained Hilbert spaces. (O3) To predict exotic dynamical quantum phases and to study their dynamical criticality both in quenched and in periodically driven constrained systems. To successfully meet our ambitious objectives, my team and I will develop two complementary theoretical approaches based on exact numerical techniques and on non-equilibrium field theory. This allows us to understand fundamental dynamical properties of constrained quantum systems and to guide future experiments. Constrained quantum systems may realize topological quantum bits and self-correcting quantum memories. Due to the international effort of inventing new quantum technology, that inherently operates out of equilibrium, it is now the right time to foster a deep understanding of the non-equilibrium dynamics in constrained quantum matter, which is the central goal of the project ConsQuanDyn.

Keywords: non equilibrium quantum dynamics,strongly correlated many body systems,constrained quantum matter quantum dimer models,fracton models,quantum information scrambling,periodically driven floquet systems
A History of the International Human Rights Regime from the Arab-Islamic World (UNIVERSALITY)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-01
End date: 2024-01-31
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: SIGNED

How universal is the Universal Declaration of Human Rights? The question attracts more debate than one might expect. This research project—UNIVERSALITY—will break new ground in such debates by contributing an innovative Global History of the origins and development of the international Human Rights regime after the Second World War, from the perspective of the (Arabic-speaking) Islamic world. The Applicant is a junior academic—a graduate of the London School of Economics, Yale University and Harvard University—with unique professional experience as a diplomat beyond Europe, research fluency in the Arabic language, and experience in journalism communicating to non-specialist audiences, all of which this project leverages. The fellowship will be carried out at the Freie Universität Berlin (FUB) under the supervision of Professor Sebastian Conrad, one of the foremost practitioners in the project field of Global History. The project deliverables address one of the most pressing historical and social needs for our contemporary multicultural Europe—namely, how we can contribute political histories of the twentieth century that place the agency, experiences and political thought of the non-Western world at the centre of historical action. Through innovative method and using a range of neglected sources, UNIVERSALITY will support this objective through reconstructing a hitherto hidden story of the birth and contestation over the UDHR that can also serve as an alternate origins story for our modern international world. And by foregrounding Arab and Islamic perspectives in debates over the international Human Rights regime, it will offer both academic and public new ways of thinking about how we can include non-Western epistemologies in understanding modern-day processes of globalization and integration.

Keywords: modern middle east,islamic studies,arabic political thought
Family size matters: How low fertility affects the (re)production of social inequalities (FAMSIZEMATTERS)

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: United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-07-01
End date: 2022-06-30
Duration (months): 72.0
Total project cost (EUR): 1902598.0
EU funding (EUR): 1902598.0
Participants: 1
Project status: CLOSED

This is the first comprehensive study on the consequences of low fertility for the (re)production of social inequalities. Inequalities in socio-economic well-being, including gender inequalities and regional inequalities, are reproduced from generation to generation. The family plays a central role in the reproduction of social inequalities. Over the last 5 decades, most societies in Europe and East-Asia moved or started moving towards low fertility regimes where the majority of women bear 0, 1 or 2 children. What does this radical change in family size imply for the (re)production of social inequalities? While demographers focus on determinants rather than consequences of low fertility, social inequality scholars largely ignore fertility trends. I connect these major fields to understand the consequences of low fertility and re-think mechanisms for the reproduction of inequalities. From this perspective I generate new empirical and theoretical questions and I highlight growing but under-researched groups (i.e. childless adults and only-children). I formulate three sets of related innovative questions on the consequences of low fertility for inequalities in (1) children, (2) adults and (3) societies. With regard to children, I investigate multigenerational processes, the changing role of sibling size and the role of only-children in reproducing inequalities. For parents with adult children, I study when and where the ‘quality’ of children becomes increasingly important and I examine the role of childless adults in the reproduction of inequalities. I take a quantitative comparative approach over time and across societies in Europe and East-Asia using multi-actor multilevel data from the newest data initiatives and reviving underused existing data. The insights from the comparative studies are brought together at the macro level in a simulation study. Gender inequalities are addressed throughout the project: has lower fertility reduced gender inequalities?

Keywords: intergenerational transmission of socioeconomic status,intergenerational transfers,demography,childlessness,cross national comparative research
Protein nano-patterning using DNA nanotechnology; control of surface-based immune system activation (BioNanoPattern)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 1499850.0
EU funding (EUR): 1499850.0
Participants: 1
Project status: SIGNED

Protein nanopatterning concerns the geometric arrangement of individual proteins with nanometre accuracy. It is becoming apparent that protein nanopatterns are essential for cellular function, and have roles in cell signalling and protection, phagocytosis and stem cell differentiation. Recent research indicates that our immune system is activated by nanopatterned antibody platforms, which initiate the classical Complement pathway by binding to the first component of Complement, the C1 complex. DNA nanotechnology can be used to form self-assembled nanoscale structures, which are ideal for use as templates to pattern proteins with specific geometries and nanometre accuracy. I propose to use DNA to nanopattern antigens and agonistic aptamers with defined geometry to study and control Complement pathway activation by the C1 complex. To develop and demonstrate the potential use of DNA to nanopattern proteins, the first aim of this proposal is to design DNA nanotemplates suitable for patterning antibody-binding sites. Antibodies and C1 will bind with specific geometry, and the relationship between antibody geometry and Complement activation will be assessed using novel liposome assays. Using DNA to mimic antigenic surfaces will enable high-resolution structure determination of DNA-antibody-C1 complexes, both in solution and on lipid bilayer surfaces, using phase plate cryo-electron microscopy to elucidate the structure-activation relationship of C1. The second aim of this proposal is to evolve agonistic aptamers that directly bind to and activate C1, and incorporate these into DNA nanotemplates. These nanopatterned aptamers will enable further study of C1 activation, and allow direct targeting of Complement activation to specific cells within a population of cell types to demonstrate targeted cell killing. This may open up new and highly efficient ways to activate our immune system in vivo, with potential for targeted anti-tumour immunotherapies.

Keywords: dna nanotechnology,complement
PercEvite - Sense and avoid technology for small drones (PercEvite)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Belgium,France,Netherlands
Call: Science for higher levels of automation (H2020-SESAR-2016-1, 2016)
Start date: 2017-09-01
End date: 2020-08-31
Duration (months): 36.0
Total project cost (EUR): 899007.5
EU funding (EUR): 899007.5
Participants: 4
Project status: CLOSED

We will develop a sensor, communication, and processing suite for small drones for autonomously detecting and avoiding “ground-based” obstacles and flying objects. To avoid ground-based obstacles, we aim for a lightweight, energy-efficient sensor and processing package that maximizes payload capacity. Self-supervised learning will allow for a breakthrough in perception range. This will enable effective fusion of stereo vision, motion, appearance, ranging and audio information. Our learning process will allow obstacle detection as far as the camera ‘sees’, rather than the current ± 30 m. For close distances, our solution does without energy expensive active sensors such as lasers or sonar. For collaborative avoidance between drones and other air vehicles, we achieve an interoperable solution by combining multiple communication hardware types (ADSB, 4/5G, WiFi) to exchange information on position, speed, and future waypoints. This will enable drones to successfully avoid other flying vehicles even in a very densely used air space. The probability for a collision in a collaborative scenario will be in the order of 10-9. For non-collaborative avoidance, we rely on sensors and even the communication hardware mentioned above. If a non-collaborative aircraft emits communication signals, for instance to a ground station, this hardware allows to retrieve angular measurements. These measurements can be fused with detection and angle estimations performed with multiple tiny microphones and cameras on board of the detecting drone. We estimate the collision probability in a non-collaborative scenario as 10-6. These performances will be assessed by simulations and extensive real-world tests. The consortium will benefit from the partners’ academic and industrial background with expertise in autonomous flight of very light-weight drones, robust wireless communication, drone design, production, and operation to realize a commercially viable platform.

Keywords: sense and avoid,non collaborative avoidance,collaborative avoidance,obstacle avoidance,sensor fusion,trajectory planning,hear and avoid