Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Excitonic Magnetism in Strongly Correlated Materials (EXMAG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Austria,Czechia
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-06-01
End date: 2020-05-31
Duration (months): 60.0
Total project cost (EUR): 1382500.0
EU funding (EUR): 1204750.0
Participants: 2
Project status: CLOSED

Spontaneous symmetry breaking leading to states of matter with long-range order is one of the central topics in condensed matter physics. Common types of order, such as ferro- and anti-ferromagnetic, are characterized by spin or charge densities modulated on inter-atomic scale, therefore well studied thanks to various scattering experiments. Order parameters that are not of this type are much more difficult to detect, giving rise to names such as hidden order or electronic nematicity. Their impact on transport or thermodynamic properties may, nevertheless, be substantial. In the EXMAG project we will investigate excitonic condensation in systems with strongly correlated electrons as a new mechanism leading to unconventional ordered states. The objective of the project is to characterize the physical properties of various excitonic phases and to find their realization in real materials. We will focus on intermediate coupling strength and doped systems where the interaction between the excitonic order and the charge carriers is expected to lead to new physics. In particular, we want to explore the potential of the excitonic order to induce instabilities, e.g. magnetic or superconducting, that are not present in the normal phase. We will also address the possibility of topologically non-trivial quasi-particle band-structures in the excitonic phase. Our main tool will be numerical simulations based on the dynamical mean-field theory and ab initio band-structure methods. We will pursue two main lines of research: investigation of simple models allowing access to many physical observables and studies of real materials capturing the chemical complexities at the cost of more severe approximations. Ultimately, we want to understand in detail the properties of the excitonic magnets and their potential functionalities,and to identify the main control parameters and promising materials.

Keywords: excitonic condensation,spin density wave,nematicity,dynamical mean field theory
Functional characterisation of mitochondrial metabolic adaptations to innate sensing in dendritic cell subsets (MITOMAD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-12-01
End date: 2023-11-30
Duration (months): 72.0
Total project cost (EUR): 1995000.0
EU funding (EUR): 1995000.0
Participants: 1
Project status: SIGNED

Immunometabolism is an emerging research field that promises to generate novel targets for manipulation of functional responses in immune cells. Pioneering studies are beginning to unveil how innate sensing leads to metabolic reprogramming of immune cells. We became interested in the possible metabolic consequences of innate sensing by myeloid cells because of our previous work showing how mouse and human dendritic cell (DC) subsets detect danger signals from microbes and damaged tissues. Our current data show that sensing of live bacteria triggers a profound reorganisation of the mitochondrial electron transport chain (ETC) in macrophages, with a switch in the relative contribution of ETC complexes I and II to mitochondrial respiration that impacts immune response. As we pursue novel strategies to manipulate DC function, and supported by our preliminary data in DCs, we hypothesise that innate sensing induces mitochondrial adaptations in DCs and that targeting mitochondrial metabolism will affect DC function. Our goals are: 1) to characterise how innate sensing of danger signals from microbes or from tissue damage modulate mitochondrial adaptations and metabolic reprogramming in mouse and human DC subsets; 2) to dissect the molecular mechanisms that connect innate sensing and mitochondrial adaptations in DCs, using biased and unbiased cutting-edge proteomics approaches; 3) to address the impact of manipulating mitochondrial biology on mouse and human DC metabolism and function; and 4) to assess the functional in vivo effects of targeting mitochondrial biology in DCs in homeostasis and disease. The characterisation of the molecular mechanisms that link innate sensing and mitochondrial metabolism with DC function will open new avenues for basic research in mitochondrial biology and for the emerging field of immunometabolism. Functional targeting of DC mitochondrial metabolism has great potential for the discovery of new strategies to modulate immunity and tolerance.

Keywords: dendritic cell,mitochondria,vaccination,immunotherapy,innate receptors,targeting dc subsets,immunity,tolerance,t cell memory,viral infection,cancer,asthma
Transforming Transport (TT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Big Data PPP (cPPP)
Countries involved: Germany,Spain,Spain,Ireland,Germany,Germany,Germany,Germany,Germany,Germany,Germany,Spain,Italy,Germany,Spain,Spain,Spain,Greece,Greece,Greece,Greece,Finland,Finland,France,France,Netherlands,United Kingdom,United Kingdom,United Kingdom,Luxembourg,Portugal
Call: Big Data PPP: Large Scale Pilot actions in sectors best benefitting from data-driven innovation (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-07-31
Duration (months): 31.0
Total project cost (EUR): 18703369.39
EU funding (EUR): 14631935.45
Participants: 57
Project status: CLOSED

Big Data will have a profound economic and societal impact in the mobility and logistics sector, which is one of the most-used industries in the world contributing to approximately 15% of GDP. Big Data is expected to lead to 500 billion USD in value worldwide in the form of time and fuel savings, and savings of 380 megatons CO2 in mobility and logistics. With freight transport activities projected to increase by 40% in 2030, transforming the current mobility and logistics processes to become significantly more efficient, will have a profound impact. A 10% efficiency improvement may lead to EU cost savings of 100 BEUR. Despite these promises, interestingly only 19 % of EU mobility and logistics companies employ Big Data solutions as part of value creation and business processes. The TransformingTransport project will demonstrate, in a realistic, measurable, and replicable way the transformations that Big Data will bring to the mobility and logistics market. To this end, TransformingTransport, validates the technical and economic viability of Big Data to reshape transport processes and services to significantly increase operational efficiency, deliver improved customer experience, and foster new business models. TransformingTransport will address seven pilot domains of major importance for the mobility and logistics sector in Europe: (1) Smart High-ways, (2) Sustainable Vehicle Fleets, (3) Proactive Rail Infrastructures, (4) Ports as Intelligent Logistics Hubs, (5) Efficient Air Transport, (6) Multi-modal Urban Mobility, (7) Dynamic Supply Chains. The TransformingTransport consortium combines knowledge and solutions of major European ICT and Big Data technology providers together with the competence and experience of key European industry players in the mobility and logistics domain.

Keywords: mobility and logistics,digitalization,predictive analytics,co2 reduction,efficient multi modal transport,post project replication
European Transport Network Alliance 2020 (ETNA 2020)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Countries involved: Spain,Ireland,Israel,Italy,Cyprus,Belgium,Bosnia and Herzegovina,Romania,Slovakia,Greece,Poland,Latvia,France,Netherlands,Portugal,Portugal,United Kingdom
Call: Fostering transnational cooperation in European transport research and innovation – NCP network (H2020-MG-2015_SingleStage-A, 2015)
Start date: 2016-01-01
End date: 2020-12-31
Duration (months): 60.0
Total project cost (EUR): 1999478.98
EU funding (EUR): 1999478.98
Participants: 21
Project status: CLOSED

ETNA2020 is a 60-month Coordination and Support Action with the overall aim of facilitating trans-national co-operation among NCPs for ‘Smart, Green and Integrated Transport’, identifying and sharing good practices, and raising the general standard of the support to programme applicants across the EU and globally. To reach the objective above, the project will develop five main activity axes, corresponding to the projects’ specific objectives: 1)raise understanding of EU Transport R&I landscape; 2)capacity building of NCPs; 3)upgrade the set of tools for NCP assistance; 4)strengthen the participation of relevant stakeholders to Horizon 2020 funding opportunities; 5)support networking opportunities within the ‘Smart, Green and Integrated Transport’ constituency. Cross-cutting activities of dissemination and communication will addup to this main set of activities, helping to enhance their impact. ETNA2020 is the continuation and evolution of the precedent network, ETNA Plus, whose results and lessons learnt have been taken into consideration with the logic of improving the future network and in order to valorize the network’s strengths. ETNA2020 will also take into account the paradigmatic change brought by Horizon 2020. This will be reflected in ETNA2020 activities, and, in particular, in a stronger attention of the network in terms of multidisciplinary competences, consideration of related societal challenges, and linkage with other EU relevant initiatives, funding programmes and policies. Finally, the network will seek further opening to a wider target of stakeholders and businesses in the Transport field. ETNA2020 consortium comprises 16 beneficiaries, with a good mix of well-experienced and less experienced NCPs coming from Member States and Associated Countries. Besides beneficiaries, the project services will be offered to all officially appointed H2020 Transport NCPs, who will be involved as “Associated partners”.

Keywords: national contact point,capacity building,networking,best practices,communication
Clausal forms for Vague information processing (ClaVa)

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: Information Science and Engineering
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-01
End date: 2024-03-23
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: SIGNED

This is a resubmission of proposal number 898845 submitted to MSCA-IF-2019 and not funded. The main objective of this project is to study clausal-form systems for real and rational-valued events, facing the questions of their general definition, usage and solvable problems (SAT and optimality) from the point of view of their complexity, algorithmic design and applicability. It is focused on studying in full generality the definition of clausal form in non-classical logics for their use in vague knowledge representation. At the most general level, it is planned to reach a the definition based on n-ary- level subsets of literals and using symmetric term-definable operations of arbitrary arity to combine each level, over Mathematical Fuzzy Logics and over some other Substructural Logics. In the first family of logics, vague concepts with inverse (tall-short, hot-cold, etc), truth stressers and comparaisons (more, much more, etc) can be modeled naturally. On the other hand, substructural logics allow to model non-linearly ordered notions (eg. situations that cannot be considered better or worse between them), and non-integral algebras for combination of knowledge (i.e., with an operation * such that x*y > x for some y). We plan to 1) introduce definitions of general clausal forms over the above logical systems, study their possible equivalences and their logical properties (axiomatization of fragments, admissible rules, etc); 2) study real-world vague notions to be modeled using some of the previous forms and of the above logics; 3) design and test efficient solving procedures for three natural questions: SAT (evaluation sending the clause to 1), Max-SAT (evaluation maximizing the number of satisfied clauses) and optimality with respect to an objective (evaluation maximizing/minimizing the clause) 4) do a complexity classification of the clausal forms, and study their normality (i.e., if any formula is equivalent to one in the desired form for the problems above).

Keywords: vague knowledge representation,complexity theory,mathematical fuzzy logic
Risk assessment of plaque rupture and future cardiovascular events (CVENT) by multi-spectral photoacoustic imaging (CVENT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Germany,Switzerland,France,France,France,Netherlands,Netherlands,Netherlands
Call: Photonics KET 2016 (H2020-ICT-2016-1, 2016)
Start date: 2016-11-01
End date: 2020-04-30
Duration (months): 42.0
Total project cost (EUR): 4697377.5
EU funding (EUR): 4260790.0
Participants: 12
Project status: CLOSED

Cardiovascular disease (CVD), more specifically, vulnerable plaque rupture, remains the major cause of death for people at middle age. The CVENT consortium will revolutionize screening, diagnosis and monitoring of CVD by means of a compact photoacoustic imaging (PAI) system for vulnerable plaque imaging. In the carotid arteries feeding the brain, vulnerable plaque rupture initiates cerebrovascular ischemic attacks. The state-of-the-art decision-making approach for a high-risk surgical intervention to avoid plaque rupture is based on stenosis severity alone, measured with ultrasound (US) imaging. However, this does not distinguish between vulnerable (rupture-prone) and stable (harmless) plaques, leading to severe overtreatment. Consequently, there is a worldwide unmet and urgent clinical need for functional information to enable in-depth diagnosis of carotid plaque vulnerability, avoiding cardiovascular events (CVENT) and reducing overtreatment risk. The objective of the CVENT consortium is the development of a portable multimodal and multiwavelength PAI system with a 3 cm imaging depth, for diagnosis and monitoring of carotid plaque vulnerability. The combination of high optical contrast of PAI and the high resolution of US will be used to identify plaque vulnerability markers, typically lipid pools and intra-plaque haemorrhage. Improved diagnosis of carotid plaque vulnerability will lead to a significant reduction in CVD-related disability and mortality. Simultaneously, by stratifying patients into high and low risk groups, overtreatment is reduced, leading to better allocation of healthcare funds. The CVENT consortium unites leading research groups, clinicians, industrial partners, and their expertise on R&D and a focus on exploitation, creating a breakthrough in carotid plaque vulnerability diagnosis. CVENT will bring together leading experts in the field of CVD, functional US imaging and PAI, introducing clinically applied PAI into the vascular medical arena.

Keywords: plaque vulnerability,cardiovascular disease,point of care diagnosis,multi wavelength photoacoustic imaging,functional imaging,ultrasound imaging,high power laser diodes
Role of perisomatic inhibition on prefrontal cortex neurons in gamma oscillations and cognitive flexibility (CCKinPFC)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-06-01
End date: 2023-05-31
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: SIGNED

Dysfunction of the prefrontal cortex (PFC) contributes to cognitive deficits that represent the primary cause of disability associated with schizophrenia. However, currently available antipsychotic medications are only minimally effective for cognitive symptoms, demonstrating the need for better therapeutic targets. Treatments for cognitive deficits in schizophrenia remain underdeveloped in large part because the relevant physiological mechanisms remain unclear. A major hypothesis is that in schizophrenia, GABAergic interneuron abnormalities, notably fast-spiking interneurons that express parvalbumin (PV) and generate gamma oscillations, disrupt PFC-dependent cognition in schizophrenia. PV interneurons are critical for synchronization of neural activity, but exactly how these oscillations are regulated remain unknown. Perisomatic inhibition from cholecystokinin (CCK) interneurons can alter properties of PV networks by regulating the likelihood to generate oscillations or to affect the frequency, duration, synchrony, spatial extent, or other properties of these oscillations. Yet their role in PFC is elusive and surprisingly little is known about their functional role in the emergence of gamma activity and cognition despite their structural control over their postsynaptic partners. My research plan has two aims: to characterize the circuit-specific activity dynamics of CCK interneurons in 1) PFC gamma oscillations and 2) cognition. I will use a multidisciplinary approach, combining in vitro and in vivo physiology, viral and transgenics strategies, pharmacology, fiber photometry, 2-photon imaging, and optogenetics to provide a more specific mechanistic framework for therapeutic intervention. I hypothesize that CCK interneurons significantly control the perisomatic region of pyramidal as well as PV neurons, thus contributing to the spiking properties that underlie gamma oscillations and ultimately, cognition.

Keywords: gamma,cholecystokinin,prefrontal cortex,interneurons,cognitive flexibility,schizophrenia
The Uberization of Europol's Cybercrime Strategy: An Innovative Governance Model on Public-Private Partnership (TUECS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-06-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

This research examines Europol's fight against cybercrime in the context of Uberization. It investigates Europol's Uber-like intermediary role within an online platform where it matches idle forensic investigation capacity of private actors with national law enforcement agencies who are seeking technical guidance and collaboration in cybercrime. It aims to reveal the interaction dynamics between Europol, national law enforcement agencies and private actors who have diverging interests in a sensitive crime area where investigations are made with secrecy and discretion. The research qualitatively investigates (official documents, review of current literature and semi-structured interviews with stakeholders) Uberization in three major cybercrime areas namely; ransomware, money laundering in cryptocurrencies and online child sexual abuse that Europol has already pushed private and public actors to collaborate. The central argument of this project is that an Uber-like online platform governed by Europol offers an entrepreneurial opportunity for private cybersecurity actors to connect with law enforcement agencies who need skilled-experts to investigate cybercrime cases. This innovative governance model gathers all stakeholders under the same platform, aggregates their qualifications using different algorithms, reduces their cooperation costs, regulates and motivates their interaction. This research aims to contribute to the existing scientific knowledge by the development of Uberization theory. It also provides an alternative governance model to enhance public and private partnership not only in cybercrime area but also in other policy areas where an innovative solution is needed to fill the expert deficit.

Keywords: uberization,europol,cybercrime,public private partnership,outsourcing,talent gap,shared economy model,ransomware,money laundering with cryptocurrencies,online child sexual abuse