Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Antiferromagnetic spin-chiral triangles as decoherence-free qubits (CHIRALQUBIT)

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: Chemistry
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-01
End date: 2019-03-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Quantum Information Processing (QIP) is a groundbreaking new field with implications ranging from overcoming Moore's law to the security of encrypted communications. As such it has been identified as a priority by the European Commission. With several theoretical concepts having been clearly defined, and with quantum limits to Moore's law approaching, it is now important to find materials that will allow the physical implementations of qubits, the principal components for QIP. Molecular Nanomagnets (MNMs) are promising such materials which, however, exhibit short quantum decoherence times. CHIRALQUBIT identifies a new quantum property of MNMs, spin chirality, as a means to overcome this limitation and achieve decoherence-free qubits, with the added advantage of their rapid and precise electric manipulation. The project’s objectives are to confirm for the first time the electric control of spin-chiral coordination complexes, in particular antiferromagnetic triangles of half-integer spins, and study their relaxation and decoherence dynamics regarding transitions reversing their spin chiralities. The proposed research employs diverse methodologies from synthetic chemistry and spectroscopy to instrumentation and theory. Through the expertise of the host it will achieve the highly interdisciplinary training of an outstanding candidate in fields such as Electron Paramegnetic Resonance (EPR) spectroscopy and QIP, while also preparing him for an independent career through training in research management, mentoring, and proposal writing. Moreover, with its proposed outreach actions it will bring this new field closer to non-specialist and younger audiences. The unique combination of expertise of the host group and of the candidate and the highly innovative nature of the project, makes the present proposal a key opportunity for the advancement of the applicant's career as a mature researcher in the fields of Molecular Magnetism, EPR spectroscopy and QIP.

Keywords: quantum information processing,coordination chemistry,spin chiraity,epr spectroscopy
Excitonic transport in cold Rydberg gases (ExTRyG)

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: Physics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-11-01
End date: 2017-10-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The study of transport phenomenon based on quantum processes, where energy and information are transported but neither charge nor mass, is a vivid and interdisciplinary field of research raising both fundamental and technological issues. During this fellowship, we propose to use laser-cooled ensembles of atoms in highly excited states (cold Rydberg gases) to study such transport phenomenon. The overall purpose of the action is to demonstrate that cold Rydberg gases can be used as an innovative, efficient research platform which would allow to further address fundamental challenges related to the transport of energy and information.\\ The principal objective of this project is to form a chain of Rydberg atoms, to locally place an additional electronic excitation (exciton) in the chain and to observe the subsequent transport dynamics. A second objective is to implement adiabatic excitation of collective Rydberg excitations in order to prepare deterministically a Rydberg chain. This project will be implemented in a world leading group in cold Rydberg gases where the applicant will use two complementary experimental setups to address the different aspect of the objectives in the best conditions. He will be supervised by their respective principal investigators which will provide a strong management structure to the project. Building around the applicant's experience in the field of cold Rydberg gases, this fellowship will provide him with new, cutting-edge experimental skills which would establish him as a leading researcher in this field. The innovative, high quality research which will be carried out during this fellowship will serve as a basis for the application to a permanent position.

Keywords: cold gases,rydberg atoms,resonant energy transfer,quantum transport
Fast and economic insulation of buildings using robotic systems (Q-Bot)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: United Kingdom
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-2-2015, 2015)
Start date: 2015-11-01
End date: 2017-10-31
Duration (months): 24.0
Total project cost (EUR): 3026161.25
EU funding (EUR): 2118312.88
Participants: 1
Project status: CLOSED

A lack of adequate thermal insulation is the single largest cause of energy loss in older buildings in Northern Europe, leading to fuel poverty, discomfort and health problems among some of the most vulnerable in society. Underfloor insulation is one of the most effective ways of preventing energy loss and draughts but traditional methods are expensive, very disruptive to occupiers and can be hazardous for installers. Q-Bot is developing an innovative underfloor insulation system that has the potential to improve the energy foot print of millions of Europe's least energy efficient buildings by as much as 25% while reducing installation costs by 50 to 75%. The small robotic device is unique and superior to other underfloor insulation in that it can access uneven and tight spaces and underfloor voids in order to install insulation. The device enables homes, which would otherwise be difficult, expensive and potentially hazardous to treat, to be made much more energy-efficient, at much lower cost and with minimal disruption for the occupier. Q-Bot's technology has been proven to work in prototype trials (TRL6) and is currently being tested in the field at a small number of customer sites (TRL7). The technology is highly scalable and can be deployed easily within existing distribution systems. Q-Bot has already received orders worth ca. £150K (€200K) and Q-Bot's current customers have indicated that they are very interested in using the solution across wider parts of their property portfolios. During Phase 2, Q-Bot will develop a fully working demonstrator (WP2 and WP3), carry out full-scale trials with customers and installers (WP4 and WP5) and prepare further commercial exploitation (WP6). The 5 year goal following the Phase 2 project is to have installed >135K homes. The project will create jobs within the EU and contribute to energy efficiency targets being met, while leading to a wealth of follow-on applications in the built environment and in industry.

Keywords: insulation,robotics,retrofit,buildings,floor
The role of OTULIN and Met1-linked ubiquitin in immune signaling and host defense in vivo (OTULINVIVO)

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: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2017-03-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 2
Project status: CLOSED

The immune system is essential for host defense against infections. Methionine1-linked ‘linear’ ubiquitin chains (Met1-Ub) have emerged as a crucial activator of NF-κB transcription factors, which are vital to immune responses. Recent findings suggest that defects in Met1-Ub signaling in humans can lead to severe immune dysfunction and cancer. Met1-Ub is generated by the linear ubiquitin chain assembly complex (LUBAC). Yet, how LUBAC and Met1-Ub signaling are regulated remains elusive. We recently discovered OTULIN, the only deubiquitinase known to specifically disassemble Met1-Ub. OTULIN antagonizes LUBAC and restricts Met1-Ub and NF-κB signaling in cell culture; however, the role of OTULIN and Met1-Ub in immune signaling and host defense in vivo is largely unknown. We have established novel mouse strains with cell type-specific deletion of OTULIN. I will use these mice to explore the in vivo function of OTULIN and Met1-Ub in the innate and adaptive immune responses, and to identify OTULIN substrates in primary cells using state-of-the-art mass spectrometry-based proteomics. I will study OTULIN’s role in immune homeostasis, in response to bacterial infection, and in mounting type-1 and type-2 adaptive immune responses by state-of-the-art methods of immunological analyses including comprehensive multiplex analyses of cytokines. Met1-Ub regulates the acute phase cytokines TNF and IL-6 and may thus control the development of type-1 versus type-2 immune responses. Hence, I will test OTULIN’s role in models of asthma, a disorder characterized by an imbalance between type-1 and type-2 responses. Subsequently, I will analyze immune signaling pathways in primary cells using mass spectrometry-based proteomics to identify OTULIN substrates in specific cell types. This will greatly deepen our understanding of the physiological role of OTULIN and Met1-Ub in the immune response and may provide important insight into human immunological disorders and rationales to treat these.

Keywords: ubiquitin,linear ubiquitin,atypical ubiquitin,met1 ubiquitin,deubiquitylating enzymes,ubiquitin signaling,prr signaling,inflammatory signaling,inflammation,mouse models
Depression in diverse populations: Unravelling the interplay between genes and environment (DIVERGE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: United Kingdom,Pakistan
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-02-01
End date: 2026-01-31
Duration (months): 60.0
Total project cost (EUR): 2495950.0
EU funding (EUR): 2033506.25
Participants: 2
Project status: SIGNED

Depression affects 300 million people and represents one of the biggest challenges to human health to date. Of the burden, 80% pertains to low- and middle-income countries. It is thus imperative to understand the global causes of depression to design effective targeted interventions. DIVERGE will build the first ancestrally diverse data resource for depression, generated from biobanks (N=1.8M) and new studies in Pakistan (N=20K) as well as sub-Saharan Africa (N=13K) with deep phenotyping and genotyping. Differences in depression risk between populations have been shaped by the environment, demography and diverging evolutionary history. Using the novel perspective of evolutionary psychiatry, DIVERGE will comprehensively characterise the genetic architecture of depression and assess how it has been shaped by natural selection. Thereby, I will illuminate how heritability, environmental factors and their interplay affect disease development. I will develop a new method, trans-ethnic colocalization, to address the fundamental question whether genetic risk factors are transferable across populations. This is important to ensure that health benefits of precision medicine can be shared within and across populations. In addition to the big picture approach, I aim to identify specific causes of the disorder. The diversity of the data together with the application of population-matched inheritance models will empower the discovery of novel genetic loci for depression. I will develop and apply cutting-edge methods, including trans-ethnic fine-mapping with functional annotations to uncover biological mechanisms underlying depression loci. Trauma, such as exposure to violence, is a strong risk factor for depression. DIVERGE will investigate the interplay between traumatic life events and genetic susceptibility which could help understand how mental illness differs across groups. These innovations will lead to a step change in our understanding of the aetiology of depression.

Keywords: depression,risk factors,diverse populations,transcultural,genome wide association studies,traumatic life events
Mechanisms and Consequences of Attributing Socialness to Artificial Agents (SOCIAL ROBOTS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom,United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-10-01
End date: 2023-03-31
Duration (months): 78.0
Total project cost (EUR): 1809000.0
EU funding (EUR): 1623268.0
Participants: 2
Project status: SIGNED

Understanding how we perceive and interact with others is a core challenge of social cognition research. This challenge is poised to intensify in importance as the ubiquity of artificial intelligence and the presence of humanoid robots in society grows. By innovatively combining psychology, neuroscience and robotics, the SOCIAL ROBOTS project helps prepare us for this future by (1) establishing a new approach for understanding how the human brain processes and responds to interactive robots; (2) delineating the factors influencing how representations of robots and humans are shared at brain and behavioural levels; and (3) exploring how these findings inform the now-rapid development of social robots. To achieve this, we first investigate how young adults perceive and interact with humans vs. robots, the role of physical features and training experience, and the extent to which brain regions mediating social interaction with humans also support robot interaction. Next, to test the role of experience-dependent plasticity on social cognition, we assess how brain and behavioural flexibility toward robots manifests among young children and older adults. Finally, we explore cultural influences on shared representations of humans and robots by extending the first project phase to Japan, the world’s most robotics-rich nation. The SOCIAL ROBOTS project tests a dominant hypothesis of social cognition and is expected to lead to a novel conception of the neurocognitive architecture supporting human-robot interaction. Neuroimaging and behavioural measures will offer detailed and nuanced insights into how brain mechanisms supporting social engagement with people are used when interacting with robots, and how different kinds of experience (e.g., training, lifespan, cultural) influence such engagement. The planned studies and those generated during the project will enable the SOCIAL ROBOTS team to become a world-leading group bridging social cognition, neuroscience and robotics.

Keywords: social brain,fmri,development,aging,cross cultural,japan
Discovery of anticancer polymeric drugs that mimic the action of TRAIL (PolyDrug Discovery)

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: Chemistry
Countries involved: Sweden
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 173857.2
EU funding (EUR): 173857.2
Participants: 1
Project status: CLOSED

Biopharmaceuticals such as monoclonal antibodies (mAbs) and interferons/cytokines have become mainstream since the approval of recombinant human insulin in 1982. However, many challenges such as production costs, output capacity and demanding storage conditions prevent them from realizing their full potential. Therefore, the objective of this action is to develop a polymeric drug (PolyDrug) that mimics the activity of tumor necrosis factor-related apoptosis inducing ligand (TRAIL) for the treatment of breast cancer. To do this, multivalent polymers that display peptides (binding epitopes) with high affinity for death receptor 5 (DR5) will be prepared in high-throughput using combinatorial polymer chemistry. Then, the modern drug discovery process will be applied to identify/develop PolyDrugs with the greatest anticancer potential. This includes library preparation in Work Package 1 (WP1), high-throughput screening and hit to lead in WP2, and lead optimization through cell studies and macromolecular modeling in WP 3. Beyond this scope of this action, these efforts will be followed by preclinical and clinical development within a start-up PolyDrug discovery company. With this innovative PolyDrug discovery process, I hypothesize that I will be able to develop polymeric replacements for current biopharmaceuticals including TRAIL.
Locate IT - accurate self-learning IoT asset tracking (LocateIT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2019-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

This is a proposal for a feasibility study of Locate IT, a new innovative asset tracking system for Internet of Things (IoT) devices. The main advantage of Locate IT is that it will use a new breakthrough method to position a huge number of devices anywhere, both outdoor and indoor, within a few meters including correct floor. Today there is no positioning solution that can track a device accurately everywhere. GPS is often used for asset tracking but does not work indoor. Indoor positioning systems today require infrastructure and manual setup which make them costly and do not work in all buildings. Global WiFi positioning offered not only by Combain but Google, Apple (for iOS) and Here, works everywhere, both outdoor and indoor, but does not give 3D information (floor) and is not accurate enough (20-100m) for indoor tracking. A global accurate self-learning indoor positioning system is the challenge that Combain focus its research and development on. Locate IT is a platform as a service that builds on the existing global positioning service by Combain and adds the new indoor positioning technology. This new breakthrough technology uses sensor fusion together with mathematical algorithms to model buildings automatically to make the system self-learning. The more the positioning is used in a building, the more accurate the model will be. These algorithms are the result of many years of research collaboration with Centre of Mathematics at Lund University. Locate IT is initially targeted towards customers and market segments that can benefit most of the new indoor positioning technology: Construction and Public Sector. Combain has all components and knowledge required to create Locate IT: a global positioning system, patented new indoor modelling methods, an IoT platform and target customers driving requirements. In this feasibility study, Combain will explore and assess the technical feasibility and commercial potential of the proposed Locate IT asset tracking.

Keywords: indoor positioning,geolocation
Action “Establishing services enhancing the innovation management capacity of SME's in the Enterprise Europe Network” (IM SME)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Germany
Call: INNOSUP (H2020-Adhoc-2014-20, 2014)
Start date: 2014-04-01
End date: 2014-12-31
Duration (months): 9.0
Total project cost (EUR): 17500.0
EU funding (EUR): 14000.0
Participants: 2
Project status: CLOSED

The following proposal addresses the topic “Establishing services enhancing the innovation management capacity of SMEs in the Enterprise Europe Network”. The new services will be established as an integral part of the network’s services addressing the innovation needs of SME’s, namely the provision of technology audits and technology transfer partnering services. The services will be provided to two specific groups of companies: 1. Beneficiaries of the SME Instrument 2. SMEs with significant innovation activities and a high potential for internationalisation In order to contribute to smart growth in the European Union by increasing the efficiency and effectiveness of investments in research, development and innovation as well as by contributing to a better and more efficient connection of actors along the innovation chain, DD will provide services for the two groups of companies. The aim of the new service package is to support SMEs during their internationalisation processes and to optimize their innovation management capacities. These innovation support activities will help to create economic impact (competiveness, growth and jobs) from innovation activities in SMEs.

Keywords: innovation management