Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Lawful evidence collecting and continuity platform development (LOCARD)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Germany,Italy,Spain,Italy,Malta,Cyprus,Belgium,Belgium,Norway,Greece,Romania,Bulgaria,Greece
Call: Technologies to enhance the fight against crime and terrorism (H2020-SU-SEC-2018, 2018)
Start date: 2019-05-01
End date: 2022-07-31
Duration (months): 39.0
Total project cost (EUR): 6833385.0
EU funding (EUR): 6833385.0
Participants: 23
Project status: CLOSED

Digital evidence is currently an integral part of criminal investigations, and not confined to pure cybercrime cases. Criminal behaviours like financial frauds, intellectual property theft, industrial espionage, and terrorist networks leverage the Internet and cyberspace. The very ubiquity of digital devices, e.g. smartphones, in modern society makes digital evidence extremely relevant for investigations about all kinds of criminal behaviour like murder, contraband activities, and people smuggling, to name a few. Due to its nature, the use of digital evidence in a court of law has always been challenging. It is critical that it should be accompanied by a proper chain of custody, guaranteeing its source and integrity. LOCARD aims to provide a holistic platform for chain of custody assurance along the forensic workflow, a trusted distributed platform allowing the storage of digital evidence metadata in a blockchain. Each node of LOCARD will be able to independently set its own permission policies and to selectively share access to digital evidence with other nodes when deemed necessary and upon proper authorization through fine-grained policies. LOCARD's modularity will also allow diverse actors to tailor the platform to their specific needs and role in the digital forensic workflow, from preparation and readiness, to collection, to analysis and reporting. LOCARD will have a crowdsource module to collect citizen reports of selected violations, a crawler to detect and correlate online deviant behaviour, and a toolkit for investigators that will assist them in collecting online and offline evidence. This will be powered by an immutable storage and an identity management system that will protect privacy and handle access to evidence data using a Trusted Execution Environment. Blockchain technology will not only guarantee that information about the evidence cannot be tampered with, but allow interoperability without the need for a trusted third party.

Keywords: internet crime,digital evidence,blockchain,trusted execution environment
Hhat inhibition as a novel approach for selective cancer treatment (HHAT)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-05-22
End date: 2023-05-21
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: TERMINATED

Being the first or second most common cause of premature death in over 100 countries, cancer imposes a major burden on modern societies worldwide. Inhibition of the Hedgehog pathway has had success, both in vitro and in the clinic, but resistance is a commonly encountered problem, making alternative Hedgehog modulators in high demand. Hhat is a membrane associated O-acyl transferase (MBOAT) whose only known function is the palmitoylation of Hedgehog, a posttranslational modification crucial for Hedgehog signalling. Targeting Hhat thus represents a uniquely specific way to target the hedgehog pathway that could be less prone to gaining resistance, but research in this area is hampered by a lack of good tool compounds. Here I propose to use cutting edge chemical biology tools to develop selective high potency Hhat inhibitors with thoroughly validated cellular activity. Such inhibitors are crucially needed to validate Hhat as a target in cancer therapy and the methodologies developed could be transferred to target other clinically relevant MBOATs in for example the Wnt pathway.

Keywords: hedgehog,organic synthesis,parallel synthesis,chemical proteomics,photo affinity ligation,cancer,biology,cellular target engagement
Cost-effective CO2 conversion into chemicals via combination of Capture, ELectrochemical and BI-ochemical CONversion technologies (CELBICON)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Spain,Italy,Austria,Germany,Germany,Italy,Switzerland,France,France,Netherlands,Netherlands
Call: Converting CO2 into chemicals (H2020-ISIB-2015-2, 2015)
Start date: 2016-03-01
End date: 2019-11-30
Duration (months): 45.0
Total project cost (EUR): 6211040.25
EU funding (EUR): 5429201.5
Participants: 15
Project status: CLOSED

CELBICON aims at the development, from TRL3 to TRL5, of new CO2-to-chemicals technologies, conjugating at once small-scale for an effective decentralized market penetration, high efficiency/yield, low cost, robustness, moderate operating temperatures and low maintenance costs. In line with the reference Topic text, these technologies will bridge cost-effective CO2 capture and purification from the atmosphere through sorbents (with efficient heat integration of the CO2 desorption step with the subsequent process stages), with electrochemical conversion of CO2 (via PEM electrolysis concepts, promoting CO2 reduction at their cathode in combination with a fruitful oxidation carried out simultaneously at the anode), followed by bioreactors carrying out the fermentation of the CO2-reduction intermediates (syngas, C1 water-soluble molecules) to form valuable products (bioplastics like Poly-Hydroxy-Alkanoates - PHA -, isoprene, lactic acid, methane, etc.) as well as effective routes for their recovery from the process outlet streams. A distinctive feature of the CELBICON approach is the innovative interplay and advances of key technologies brought in by partners (high-tech SMEs & companies, research centres) to achieve unprecedented yield and efficiency results along the following two processing lines: i) High pressure process line tailored to the production of a PHA bioplastic and pressurized methane via intermediate electrochemical generation of pressurized syngas followed by specific fermentation steps; ii) Low pressure processing line focused on the production of value-added chemicals by fermentation of CO2-reduction water-soluble C1 intermediates. Over a 42 months project duration, the two process lines described will undergo a thorough component development R&D programme so as to be able to assemble three optimised TRL5 integrated test-rigs (one per TP) to prove the achievement of all the quantified techno-economical targets.

Keywords: co2 capture and purification,electrochemical reduction of co2,syngas,formic acid,methanol,fermentation,methane,isoprene,lactic acid
Collectiveware: Highly-parallel algorithms for collective intelligence (HPA4CF)

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-2016, 2016)
Start date: 2017-06-16
End date: 2019-06-15
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

In recent years, more and more scenarios pose challenges that require collective intelligence solutions based on networks (knowledge networks, social networks, sensor networks). New forms of collaborative consumption, collaborative making, collaborative production, all rely on a common task, the formation of collectives. This task is crucial in many real-world applications domains. Notable examples of actual-world collective formation scenarios are Collective Energy Purchasing (CEP), a collaborative consumption scenario, and Team Formation (TF), a collaborative production scenario. Within the Artificial Intelligence literature, current state of the art algorithms cannot provide the level of scalability and the solution quality required by actual-world collective formation problems, hence novel algorithms are needed to tackle these problems. To achieve this objective, we aim at proposing novel algorithms that are capable to exploit modern highly-parallel architectures. On the one hand, highly-parallel architectures have been successfully applied in many different scenarios so to achieve tremendous performance improvements. These advancements encourage the investigation of parallelisation also in collective formation, with the objective of achieving the same benefits. On the other hand, our past research indicates that considering the structure of the collective formation problem leads to notable benefits in terms of scalability and solution quality. Thus, we propose to take a novel algorithmic design approach that considers both the structure of the scenario and at the same time exploits modern highly-parallel architectures. Our algorithms will be evaluated in two prominent collective intelligence application domains: the CEP and TF domains. The choice of these two application domains will serve to show the generality of our algorithmic design approach, since they are representative of two structurally different families of actual-world collective formation problems.

Keywords: collective formation,collective intelligence,highly parallel algorithms,collective energy formation,team formation
Towards Innovation - driven and smart solutions in short food supply chains (SMARTCHAIN)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive agri-food sector for a safe and healthy diet
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Italy,Italy,Italy,Germany,Spain,Austria,Germany,Spain,Spain,Germany,Serbia,Belgium,Hungary,Hungary,Hungary,Serbia,Greece,Switzerland,Serbia,Greece,Greece,Switzerland,Hungary,France,France,Netherlands,Netherlands,Netherlands,Netherlands
Call: Innovative agri-food chains: unlocking the potential for competitiveness and sustainability (H2020-SFS-2017-2, 2017)
Start date: 2018-09-01
End date: 2021-08-31
Duration (months): 36.0
Total project cost (EUR): 5998373.75
EU funding (EUR): 5998373.75
Participants: 45
Project status: CLOSED

SMARTCHAIN is an ambitious, 3 year project with 43 partners from 11 European countries including key stakeholders from the domain of short food supply chain as actors in the project. The central objective is to foster and accelerate the shift towards collaborative short food supply chains and, through concrete actions and recommendations, to introduce new robust business models and innovative practical solutions that enhance the competitiveness and sustainability of the European agri-food system. Using bottom-up, demand-driven research, the SMARTCHAIN consortium i) will perform a multi-perspective analysis of 18 case studies of short food supply chains in terms of technological, regulatory, social, economic and environmental factors, ii) will assess the linkages and interactions among all stakeholders involved in short food supply chains and iii) will identify the key parameters that influence sustainable food production and rural development among different regions in Europe. The project aims to establish 9 national communities of short food supply chains (Innovation and Collaboration Hubs) in different partner countries (France, Germany, Greece, Hungary, Italy, Netherlands, Serbia, Spain and Switzerland) and a virtual innovation hub in order to facilitate stakeholder engagement, bringing farmers and consumers together in a trust-enhancing environment enabling them to generate demand driven-innovations. Combination of scientific and practical knowledge and the use of innovation workshops will enable the development of practical innovative solutions as well as the promotion of a framework for different forms of collaborative short food supply chains in urban and rural areas. SMARTCHAIN will generate concrete actions for knowledge transfer, through the organisation of multi-stakeholder workshops and training activities for farmers and short food supply chain entrepreneurs.

Keywords: short food supply chain management
The missing majority: understanding global ocean ecology by revealing the unknown biology of the most abundant marine microbial eukaryotes (GROWCEAN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Spain
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Which are the most abundant microbial eukaryotic species in the world’s sunlit oceans, and what roles do they play in global marine ecology? At present, the answers to both of these questions remain largely unknown. Recently, the Tara Oceans expedition conducted a global ribosomal barcode survey of the surface oceans, revealing that, of roughly 500,000 total Operational Taxonomic Units (OTUs), only 89, which were present in every station sampled by Tara, represent half of the total global OTU abundance. Yet, of these 89 OTUs, 81 do not match any known species. The goal of this project is to characterize the biology, interspecies interactions, and ecosystem relevance of these 81 highly abundant, ubiquitous unknown microbial eukaryotes. We propose three research objectives. First, using a novel isolation approach, we will establish robust laboratory cultures and sequence their transcriptomes to produce gene catalogs. Second, we will apply time-lapse light and fluorescence microscopy to understand their life history and behavior and to build hypotheses about their individual and community metabolic potential. Third, we will characterize their ecosystem relevance by leveraging Tara Oceans metatranscriptomes to explore how their genetic toolkit is expressed across varying oceanic conditions on a global scale, and by performing laboratory manipulations to test hypotheses on a local scale. Overall, we will provide the first glimpse of the morphological, life history, behavioral and transcriptional features of currently unknown globally abundant protists. Discoveries about their biology will have immediate implications for studies of the ecology and community structure of oceanic ecosystems. Finally, we anticipate that our efforts will lead to the establishment of ecologically relevant microbial eukaryotes as new model systems whose biology can be studied intensively in the laboratory.

Keywords: microbial eukaryotes,marine ecology,novel species isolation,interspecies interaction,metatranscriptomics,evolution
Insomnia’s Negative Sequelae On Mood: from Neuroscience to Intervention in the Aged (INSOMNIA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-11-01
End date: 2021-10-31
Duration (months): 72.0
Total project cost (EUR): 1867360.98
EU funding (EUR): 1867360.98
Participants: 1
Project status: CLOSED

Major depression is among the most burdening health hazards. Its prevalence is 1-3%, an additional 8-16% have clinically significant symptoms, and prognosis is poor. Unfortunately, less than 20% of the cases are detected and treatment effectiveness is moderate. The Global Consortium for Depression Prevention stresses that our best chance to combat the global burden of depression is provide preventive intervention to identified people at risk. This project targets the strongest modifiable risk factor: insomnia. With prevalence estimates up to 40%, insomnia is among the most frequent disorders in the elderly population. Meta-analysis shows that no less than 13% of people with insomnia develop depression. This extreme risk and the very high prevalence of insomnia in the ageing population, shows the urgency and promise of: (1) early identification of these 13%, (2) finding mechanisms by quantification of how they differ from insomniacs that do not develop depression with respect to brain structure and function, psychological traits, behavioural habits and environmental exposures; and (3) enrolling them in intervention protocols aimed at sleep improvement and prevention of depression. The project extends recent findings emerging from the applicant’s pioneering, unconventional and innovative approach to insomnia; the proposal that distinct subtypes exist and can be discriminated data-driven by means of multivariate trait analysis and brain imaging. Ignorance of this heterogeneity has obstructed progress in mechanistic understanding and rational treatment. In an unprecedented interdisciplinary way the project (1) identifies the insomnia subtype that develops depression; (2) profiles mechanisms involved; and (3) optimizes effectiveness of internet-supported home-applicable interventions to improve sleep and prevent depression. This approach will identify risks and mechanisms, and facilitate immediate implementation of risk-based prevention strategies and policies.

Keywords: aging,depression,risk identification,prevention,intervention,insomnia,internet,brain imaging,physiology,behaviour,environment
Ostreid herpesvirus 1: Genetic selection of Resistant strains and environmental interaction in the Atlantic coast of Spain (Galicia) (ResisGal)

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: Environment and Geosciences
Countries involved: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2019-02-27
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

One of the main concerns in the aquaculture sector is the significant mortality of the Pacific oyster, Crassostrea gigas, the principal shellfish cultivated worldwide. Among other factors, the presence of a virus has been directly associated with these mortality events which can largely exceed normal losses. The economic impact of the disease in oyster production has reached worrying levels since it has been spread to important producer countries in both hemispheres. Bivalve disease control can be a challenge due to the lack of an acquired immune response and therefore the impossibility to treat them. Long term solutions such as selection of resistant strains have been referred to as a priority by the scientific community. Novel sequencing methodologies have increased the genetic information on this specie and the development of selective breeding programs is nowadays more achievable than ever before. In this study, resistant strains will be genetically characterized and investigated in the field in order to identify the molecular markers required for assisted selection in future breeding programs. The relationship between environmental parameters, virus transmission and virus prevalence will be further studied with the aim of describing an early detection method of oyster mortality.

Keywords: crassostrea gigas,ostreid herpesvirus,genetic selection,octopus vulgaris,resistance
Strengthening and widening the European infrastructure for social science data archives. (CESSDA-SaW)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Research and Innovation actions
Countries involved: Estonia,Ireland,Italy,Germany,Hungary,Belgium,Finland,Croatia,Lithuania,Slovenia,Sweden,Switzerland,Serbia,Greece,Romania,Slovakia,Norway,France,Czechia,Netherlands,United Kingdom,Portugal,Denmark,United Kingdom
Call: Individual implementation and operation of ESFRI projects (H2020-INFRADEV-1-2015-1, 2015)
Start date: 2015-08-01
End date: 2017-10-31
Duration (months): 27.0
Total project cost (EUR): 2552343.46
EU funding (EUR): 2498187.0
Participants: 26
Project status: CLOSED

After CESSDA's successful launch we must now achieve full European coverage, and strength and sustainability for the widened network. European coverage: In each country the barriers to, and the potential value and benefits from, membership will be examined, and existing relevant infrastructure mapped. Bespoke coordination, networking activities, and stakeholder forums, all designed to address the specific barriers, will be delivered. In particular, relationships between national ministries, Research Councils, and the social science research community will be built. Relevant work in other completed initiatives (eg. SERSCIDA, DASISH, DwB) would be taken up and moved to the next stage of practical and direct support for achieving membership of the CESSDA Research Infrastructure. National opportunities for using European structural funds and other sources of support will be explored. The approach is to ensure the national and European economic and social benefits, and the positive returns on investment, that are achieved through membership of CESSDA are wholly apparent to the relevant national decision-makers. Strength and sustainability : The widened membership must form a strong and sustained network, where global best practice is built in to the infrastructure of European social science and research. Membership of CESSDA should mean membership of a world class support infrastructure. Links with practical benefits will be established with equivalent infrastructures in other continents. The benefits of coordinated collaboration and consultation with trans-national European stakeholders (for example, Eurostat, European Parliament, Consilium) will bring benefits to all national CESSDA Members. The visibility of this research infrastructure and its importance to excellent evidence in policy making will be enhanced. Further, existing national infrastructures must complete their transition into a holistic service, capable of access services for all.

Keywords: cessda social science data archive research infrastructure