Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
European Network for interactive and innovative knowledge exchange on animal health and nutrition between the sheep industry actors and stakeholders (EuroSheep)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Coordination and support actions
Countries involved: Spain,Ireland,Italy,Greece,Hungary,Türkiye,France,France,France,France,United Kingdom
Call: Thematic networks compiling knowledge ready for practice (H2020-RUR-2019-1, 2019)
Start date: 2020-01-01
End date: 2023-06-30
Duration (months): 42.0
Total project cost (EUR): 1990735.0
EU funding (EUR): 1983235.0
Participants: 12
Project status: SIGNED

The future of the sheep farming industry, in Europe and other associated countries, will be heavily influenced by its capacity to respond to several challenges including sustainability and profitability; environmental (in part due to climate change); and new societal expectations. To address these challenges, animal health and nutrition management are key levers which can be used by farmers EuroSheep will focus on those 2 topics. The overall objective of the EuroSheep project is to create a self-sustainable EU/international Thematic Network on “sheep profitability through health and nutrition” designed to stimulate knowledge exchange and cross-fertilisation among a wide range of actors & stakeholders in the sheep sector in order to widely disseminate relevant and ready to use best practices and innovations, and to value the grassroots input and knowledge exchange from farmers to farmers. EuroSheep gathers experts for a transdisciplinary approach to “sheep production” (animal health, animal nutrition, grassland management, precision livestock farming, breeding and genetics, as well as sociology, economics), which will allow undertaking a multifactorial approach of practical solutions and capturing innovations on sheep farms. EuroSheep multi-actor approach engages farmers, farmers’ organizations, scientists, trainers, veterinaries and staff from advisory services involved in the sheep value chain. EuroSheep will promote a crowd-innovation approach, through networking workshops, which will stimulate wider opportunities for the collection and exchange of the existing knowledge, as well as the cooperation and dissemination of information and best practices. EuroSheep strengthens links between the EU and Turkey, with partners located in the main sheep producing countries. It covers dairy and meat sheep production and the main different EU livestock farming systems, ensuring the selection of the best and relevant innovating solutions useful for all of EU sheep producers.

Keywords: sheep farming,dairy,meat,multi actor approach,animal health,animal nutrition,nutrition management,best practices,cost benefit approach,sustainability assessment,transdisciplinary approach
MAss RAtio evolution in Clusters between HAlos and Sub-halos (MARACHAS)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-11-01
End date: 2022-10-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Structure in our universe grow hierarchically, where small structures (stars and galaxies) assemble first and later on galaxies group together in large potential wells to form clusters. Clusters of galaxies are the largest structure observable in our Universe, and can contain more than hundreds of galaxies. Nonetheless, the stars in the galaxies contribute to only a little of its mass. Indeed, the main matter component is dark matter. Little is known about dark matter besides that it interacts through gravity with ordinary matter. For instance, we believe that every galaxy carry their own small halo of dark matter, and when they fall in a cluster part of that halo is stripped and diffused in the larger halo of the cluster. In this study, I will be using the gravitational lensing effect to answer questions on the evolution of dark matter components that make the majority of clusters. In my case, gravitational lensing refers to the bending of the light emitted by a galaxy located far behind the cluster, due to the mass of the cluster itself. I will study the galaxies and their dark matter falling in the cluster and losing their dark matter to the profit of the cluster, also called the sub-halos mass loss. This will bring new insights to the overall structure evolution in our Universe, and answer fundamental questions about dark matter properties. Based on my experience gained during my PhD and postdoc at the University of Michigan, returning to the EU to conduct this study will allow me to increase my ability to design, program and develop large analyses of observational data. The experienced contributors will greatly promote such challenging observational analysis and have the expertise to link this work to the latest theoretical predictions thanks to Durham’s state-of-the-art cosmological simulations. This will broaden my skills, giving me an (important) opportunity to work with theorists.
Bringing to the market a new generation of AI-powered Media Monitoring Tools (NEOSIGHT)

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

Media Monitoring is the systematic recording of media output related to a specific target, its activities and topics of interest. With the galloping growth of sources, many media monitoring companies have addressed this issue by increasing human resources. However, human expertise which should be focused in advanced analysis is being wasted on time-consuming mechanical tasks. Current commercial solutions peddle the use of “Artificial Intelligence”, but they are still highly dependent on human expertise to filter out irrelevant content. Building on 3 years of cutting-edge AI research funded by H2020, our company Priberam, has developed NEOSIGHT: a real-time crosslingual global media monitoring platform which delivers actionable insight beyond human-scale. Our system continuously ingests massive multilingual data sources and automatically translates, filters, categorizes and generates intelligence reports for media monitoring professionals, based on a scalable SaaS business model. The worldwide market for media monitoring is valued at US$2.23 bn (2017), with an expected CAGR of 13,6% until 2022. NEOSIGHT was co-created with end-users at BBC Research and Deutsche Welle and we have focused on GDPR and the new EU Copyright legislation, making it the first media monitoring tool compliant-by-design (in opposition to the majority of competitor solutions, which are US-based and not centred in these issues). Priberam has developed the best legal access software for Portugal and the most prestigious online dictionary, grammar and semantic search tools, which have been licensed to Amazon, Kobo and Microsoft. Some of our current clients are potential clients of NEOSIGHT: we support the main media groups in Portugal, Spain (El País) and Brazil (Folha de São Paulo) and our team of 24 generated a turnover of 1,4M€ in 2018. We believe that NEOSIGHT will bring Media Monitoring to a new disruptive level, and place European technology in the lead of AI-powered Media Monitoring tools

Keywords: media monitoring,media intelligence,horizon scanning,technology watch,natural language understanding,machine translation,crosslingual clustering,real time,text summarisation,semantic search
Spatially Multiplexed Spectrophotometry (FAST SPECTRO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2015-11-01
End date: 2017-04-30
Duration (months): 18.0
Total project cost (EUR): 149922.0
EU funding (EUR): 149922.0
Participants: 1
Project status: CLOSED

As a result of the research undertaken in the NANOFORCELLS project (ERC-StG-2011-278860), Dr Montserrat Calleja’s team has successfully developed instrumentation for the investigation of cell mechanics. The NANOFORCELLS project proposes a tool-box of three converging technologies for the aim of discriminating cancer and healthy cells from their physical properties: AFM, label-free microscopy and nanomechanical sensors. The instrument object of commercialization through the FAST-SPECTRO project is the output of the second key technology development: label-free microscopy. The research undertaken under ERC support has evidenced that cell lines with different degrees of tumorigenicity show different mechanical properties, a result confirmed by AFM and nanomechanical tests. Such results are found to have a potential interest for cancer diagnostics, We envision a high commercial potential of the technique. In order to accelerate the market entry of the results, the FAST SPECTRO “Proof of Concept” (PoC) project will focus on conducting a market feasibility study of the SMS instrument developed, as well as clarifying the IP position strategy and making an initial approach to potential partners and investors.

Keywords: cell mechanics,plasmonics,mems,spectrophotometry
Transition to the Green Economy (T2gE)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Coordination and support actions
Countries involved: Slovakia,Slovakia,Slovakia
Call: Support to confirmed Presidency event (conference) in Slovakia (H2020-SC5-2016-OneStageA, 2016)
Start date: 2016-06-01
End date: 2017-02-28
Duration (months): 9.0
Total project cost (EUR): 317143.96
EU funding (EUR): 285688.95999999996
Participants: 4
Project status: CLOSED

The main objective of the project is to contribute to a transition towards a green economy in Europe through organization of the international conference “Transition to a green economy” (T2gE). This international conference will be an event of major strategic nature during the Slovak Presidency of the European Council. Conference will bring together a broad spectrum of stakeholders. Its ambition is to improve understanding of the green economy concept, identify conclusions and pathways for transition as well as to involve and mobilise various actors and stakeholders in the discussions of possible future actions. The conference also aims to strengthen synergy among various recent initiatives and programmes launched by the European Commission (i.e 7EAP, Circular economy package, Energy Union, Juncker Commission’s priorities etc) and by the Member States, to the benefit of the overall coherence. The conference will aim to bring together policymakers from various EU countries, as well as a range of stakeholders from international organizations, academia, business, and civil society and encourage an open debate around key green economy issues. At the end of the conference, draft conclusions, for both the national and the European level, will be approved which will be useful tool for implementation of policy in the field of green economy. Parallel breakout sessions will be devoted to various relevant subjects with the involvement of representatives from civil society, policymakers, business, science and innovations, and regional and local authorities. The participants will present examples of the green economy approaches from successful countries, which will be discussed and reflected in the conclusions to ensure that green economy policy conclusions are relevant to countries’ needs. Part of the conference will be oriented on practical demonstration of Slovak examples of green/circular economy – field trip.

Keywords: presidency event,policy options,recommendations
The cell surface tetraspanin web drives tumour development and alters metabolic signalling (Secret Surface)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-10-01
End date: 2023-03-31
Duration (months): 66.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 2
Project status: CLOSED

Cancer development is characterized by uncontrolled proliferation, cell survival and metabolic reprogramming. Tumour cells are surrounded by a fluid-mosaic membrane that contains tetraspanins (Tspans) which are evolutionary conserved proteins important in the formation of multiprotein complexes at the cell surface (‘tetraspanin web’). Increasing evidence indicates that Tspans are involved in cancer, still the architecture of the Tspan web in native tumour membranes and its (patho)physiological functions have not been resolved. Based on my preliminary data, I hypothesize that tumour cells contain a disrupted Tspan web in which Tspan interactions are modified leading to aberrant metabolic signalling and tumour development. This is supported by my discovery that loss of Tspan CD37 leads to spontaneous lymphomagenesis due to activation of the Akt survival pathway. The overall aim of Secret Surface is to unravel the composition, physiological functions and molecular mechanisms of the Tspan web on tumour development and clinical outcome. To achieve this, I will focus on studying lymphomas using a multidisciplinary approach: I. Detailed analyses of Tspan web composition in lymphoma to select clinically relevant Tspans (high-throughput tissue microarray technology, multispectral imaging). II. Resolve the endogenous Tspan web on lymphoma cells (super-resolution microscopy), and generation and analysis of lymphoma cells that have a complete deficiency of multiple Tspans (CRISPR/Cas9 technology). III. Decipher molecular mechanisms underlying Tspan web function in lymphoma cells (membrane organization, membrane-proximal signalling, metabolic reprogramming). With my unique toolbox of Tspan knock-outs coupled to advanced microscopy and metabolic studies, I expect that Secret Surface will lead to a new concept in cellular physiology in which cell surface organization by the Tspan web drives tumour development, which may open new horizons for the generation of new cancer therapies.

Keywords: lymphoma,cellular physiology,plasma membrane,signal transduction,super resolution imaging
Proton strucure for discovery at the Large Hadron Collider (NNNPDF)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Italy
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-10-01
End date: 2023-03-31
Duration (months): 66.0
Total project cost (EUR): 1602862.0
EU funding (EUR): 1602862.0
Participants: 1
Project status: CLOSED

The objective of this project is to revolutionize the way the structure of the proton is accessed, determined, and used in the computation of physical processes at hadron colliders such as the Large Hadron Collider (LHC) of CERN. At a hadron accelerator, predictions require a precise, detailed, and accurate description and understanding of the structure of the colliding protons, as encoded in parton distributions (PDFs) - the distributions of quarks and gluons. At the LHC, PDFs are at present the major source of uncertainty, and in the near future they will be the main hurdle for discovery. The vision of this project is to remove this hurdle by attacking the problem using recent results from artificial intelligence (AI). I will lead a research team of two staff scientists, four postdocs and three PhD students, who will apply to PDF determination the recent methods of deep reinforcement learning and Q-learning, which will be coupled with deep residual networks to achieve a fully parameter- and bias-free understanding of proton structure. I will bring into high-energy physics a methodology so far used for object recognition in self-driving cars and automatic game playing, leading both to new physics, and new computational techniques. The application of these techniques to PDFs will enable me to reach two secondary goals. The first is theoretical: the full use for PDF determination of recent high perturbative order (next-to-next-to leading order or NNLO) computations, which will be integrated by means of a new approximation method which relies on combining known exact results with all-order information in various kinematic limits to extend the scope of the former to a more detailed ("more exclusive") description of the final state.The second is phenomenological: the integration in PDF determination of the Monte-Carlo event generators which are used to turn field theoretical prediction into a realistic description which may be directly compared to experimental data.

Keywords: standard model,large hadron collider,quantum chromodynamics,parton distributions,structure functions,artificial intelligence,neural networks,deep learning
Commercialization of high-value chemical production in moss (TYCHOBIO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Biotechnology
Action type: SME instrument
Countries involved: Denmark
Call: Dedicated support to biotechnology SMEs closing the gap from lab to market (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-03-01
End date: 2017-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

TychoBio offers a sustainable alternative to undue use of arable land and petroleum-based processes. In TychoBio we use a green production platform for high-value plant metabolites and grow it in photo-bioreactors. The production platform is based on synthetic biology and genetic engineering of moss. We can provide a competitive alternative to traditional plant metabolite production and reduce current plant metabolite prices as moss requires minimal and cost-effective growth conditions. The platform will target a particular group of high-value plant substances called diterpenoids, which are very difficult and in some cases impossible to produce chemically or biotechnologically on other platforms such as yeast and E. coli. We choose to focus on diterpenoids as they represent a niche of high-value compounds to which moss' properties appear to be superior for the production of these. Diterpenoids are high-value compounds used in food, cosmetics and the pharmaceutical industry. These compounds provide us with a catalogue of hundreds of putative pipeline candidates with various levels of value and accessibility. We have chosen to debut with a diterpenoid called carnosic acid, a potent antioxidant widely used in the industry.

Keywords: synthetic biology
Comprehensive Lifestyle Intervention Project (CLIP) (CLIP)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 257191.2
EU funding (EUR): 257191.2
Participants: 2
Project status: CLOSED

Cardiovascular disease (CVD) incidence continues to rise at an alarming rate largely as a consequence of behavioural risk factors. The only way to tackle this epidemic is to implement preventive strategies before the disease appears. Current evidence suggests that conventional approaches are inadequate for promoting healthier lifestyles, and therefore implementation of novel methods is desperately needed. The research proposed under the acronym of CLIP (Comprehensive Lifestyle Intervention Project) will tackle novel approaches to CVD prevention based on the Personalized Medicine concept, considering the interactions between genetic and environmental factors of disease development. During the outgoing phase (24 months), the young Experienced Researcher (ER) will perform extensive and multidisciplinary training on innovative strategies for effective lifestyle modification in adults and children, and will undertake a specific study to identify genomic factors able to predict adult subjects who will benefit most from novel lifestyle interventions, thus permitting future tailored approaches. During the incoming phase (12 months) the ER will transfer the new methodology to Europe by carrying out a pilot lifestyle modification and genomic study program in adults in Spain. This experience will be enriched by the secondment in a private multinational company. Thus, the new abilities the ER will acquire from various areas will enable him to implement new programmes to attain primary CVD prevention, including the use of genomic-driven personalized approaches; and to become an independent group leader upon my return to Europe at the host institution. The long term impact of the CLIP will help to reduce the huge economic burden to society and healthcare systems associated with CVD treatment as it will directly contribute to Europe’s aim of fighting the CVD epidemic.

Keywords: cardiovascular disease,prevention,lifestyle intervention