Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MOlecules as Probes of the Physics of EXternal galaxies (MOPPEX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Netherlands,United Kingdom
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2020-06-01
End date: 2026-11-30
Duration (months): 78.0
Total project cost (EUR): 2461503.0
EU funding (EUR): 2461503.0
Participants: 2
Project status: SIGNED

Molecules pervade the cooler, denser parts of our Universe, in particular the reservoirs of the matter that forms stars and planets, and the gas in the centres of galaxies. In the Milky Way we routinely use molecules to discover and explore these regions and the more complex the chemistry, the more details of the gas the molecules reveal. There are one hundred billion galaxies in the observable Universe. About 200 or so are our neighbours. However, due to their distance, we are still not able to zoom in and observe individual clouds of dense gas. Nevertheless with the advent of ever more sensitive telescopes such as ALMA, we are discovering that chemistry in external galaxies is as complex as in our own Milky Way. Molecules, it seems, are universal and widespread. In MOPPEX I use molecules to shed light on the physical and chemical structure of our local galaxies, namely (i) what the energetic processes that determine their appearance are and (ii) where the matter that will form stars or fuels black holes is, with the ultimate goal to understand how galaxies form, evolve and interact with each other. To achieve this objective I propose a multi-faceted program that combines state of the art chemical and statistical models in conjunction with interferometric observations. More specifically, the success of MOPPEX relies on (i) in-house and open source suites of chemical models and an in-house line radiative transfer model, (ii) a new suite of tools comprising of modular statistical and machine learning algorithms, and (iii) large datasets of observational data on two nearby galaxies differing in types. My ultimate objective is to fundamentally change the way molecular observations are interpreted for external galaxies and thus to cause a paradigm shift in the use of molecules as tools to determine the chemistry and physics of galaxies.

Keywords: astrochemistry,molecules
Growth, Equal Opportunities, Migration and Markets (GEMM)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Germany,Norway,Bulgaria,Romania,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: The European growth agenda (H2020-EURO-SOCIETY-2014, 2014)
Start date: 2015-09-01
End date: 2018-12-31
Duration (months): 40.0
Total project cost (EUR): 2498510.0
EU funding (EUR): 2498510.0
Participants: 10
Project status: CLOSED

The Horizon 2020 programme of the European Commission provides an important opportunity for advancement of our knowledge of growth and innovation in the European Union labour markets as well as the dynamism that creates inclusive but competitive social environments. The GEMM project relates in particular to the Migration, Prosperity and Growth Dimension of the Call on the European Growth Agenda. With over 30 researchers located in several EU member states and Norway, our consortium will approach the topic and deliver: - An analysis of the obstacles to the successful incorporation of migrants and in particular to the attraction and retention of highly-skilled migrants; - A thorough assessment of the migration-related drivers of growth and the optimal functioning of markets; - An assessment of ethnic inequality in the labour market as a barrier to competitiveness and innovation in EU member states. - A set of policy recommendations that contain concrete guidelines as to how migrants can contribute to the EU economy and society These deliverables are realised by putting forward a scientifically innovative research agenda that combines a variety of methods and crosscutting expertise. Our consortium contains economists, sociologists, political scientists, and anthropologists who have made outstanding contributions to the field of migration and inequality research. Furthermore, our empirical approach is multi-method; we make use of survey, experimental and qualitative research methods to advance knowledge.

Keywords: inequality,growth,human capital
Progressing a non-antibiotic antimicrobial treatment for Bovine Mastitis towards market - PanaMast (PanaMast)

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: SME instrument
Countries involved: Ireland
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-06-01
End date: 2019-11-30
Duration (months): 30.0
Total project cost (EUR): 3549237.75
EU funding (EUR): 2484466.43
Participants: 1
Project status: CLOSED

The world is facing an antibiotics crisis, with resistant bacteria rendering current treatments ineffective. Novel, effective solutions are urgently required for this $40bn global market. Westway Health (WWH) is based in Galway, Ireland, and is on track to become a leading veterinary antimicrobials company in the EU. It has developed an innovative, non-antibiotic technology, effective at killing all bacteria, including antibiotic-resistant bacteria like MRSA, while not inducing resistance. WWH’s lead product in development is PanaMastTM LC, a breakthrough treatment of bovine mastitis, the most economically important infectious disease affecting the dairy industry. PanaMastTM LC will represent a step change in the way that dairy farmers manage mastitis, which affects 30% of the herd annually. It will: 1. Be the world’s first non-antibiotic medicine for mastitis, offering superior clinical outcomes and significant financial gains to end-users (€150/case); 2. Reduce wastage of milk and culling of cows; (3) Improve profitability and environmental performance on European farms and dairy processing sites. The innovation directly addresses the major global problem of antibiotic resistance, while providing a sustainable animal health solution that supports production of safe and high quality food. The Phase 1 PanaMast project was successfully completed ahead of schedule and on budget. It allowed WWH to: 1. Develop a regulatory roadmap detailing all steps required to progress from current stage of development (TRL7) to first sale of commercial product (TRL8); 2. Develop a robust commercial exploitation plan for PanaMastTM LC in EU and global markets; 3. Establish key strategic relationships to assist commercialisation of PanaMastTM LC The Phase 1 results underpin this proposed project. The Phase 2 activities (pre-commercialisation/product development/product launch and commercialisation) are designed to ensure market launch and sale of PanaMastTM LC in the EU at TRL8 by 2020

Keywords: mastitis antibiotics antibiotic replacements zero withdrawal antibiotic resistance
EU SST Framework Partnership Agreement (EUSSTFPA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Framework Partnership Agreement
Countries involved: Spain,Italy,Germany,Romania,Poland,Romania,Romania,France,United Kingdom,United Kingdom,Portugal,Portugal
Call: Framework Partnership Agreement on Space Surveillance and Tracking (SST) (H2020-IBA-FPA-SPACE-2016, 2016)
Start date: 2017-05-24
End date: 2022-05-23
Duration (months): 60.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 18
Project status: SIGNED

This proposal addresses Horizon 2020 Work Programme 2016-2017, Action 5 LEIT/SPACE. In line with the Work Programme, it is a proposal by the consortium resulting from the implementation of the Space Surveillance and Tracking (SST) Support Framework, within the meaning of Article 7(3) of the Decision No 541/2014/EU of the European Parliament and the Council establishing a Framework for SST Support, comprising bodies designated by participating Member States (ASI, CDTI, CNES, DLR and UKSA) and the EU SatCen. The proposal is aimed at specifying the Framework Partnership for upcoming Horizon 2020 activities that will contribute to the SST Support Framework and to the improvement of the performances of the SST at European level (SST evolution). In particular, the activities addressed in this FPA aim at supporting the pooling of national resources on the SST objectives outlined in the aforementioned Decision, as well as supporting the SST evolution needs in line with the objectives and challenges of Horizon 2020 related to protecting Europe’s investment made in space infrastructure; and at achieving significant economies of scale by joining related Horizon 2020 resources (LEIT/space and secure societies), European Satellite Navigation Programmes and Copernicus resources, in addition to the cumulative national investment of the Member States participating in the SST Support Framework, which largely exceeds the Union contribution through the aforementioned EU funding programmes. The document includes an introduction to the context resulting to the FPA proposal, a description of the FPA objectives, of the strategic context for the future evolution of EU SST, of the expected impacts of the FPA and of the Action Plan of activities to be covered under the FPA. Furthermore, it provides an outline of the management structure and procedures of this partnership and of aspects concerning ethics and security, as well as the description of the members of the SST Cooperation.

Keywords: space surveillance and tracking
Spatial non-market VAluation for Biodiversity policy (SVAB)

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: Economic Sciences
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-01
End date: 2024-03-24
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: SIGNED

Biodiversity policy is a fundamental component for sustainable development and actions to mitigate and adapt to climate change. For efficient and effective policy implementation it is crucial to understand where policy interventions can generate greatest ecological and socio-economic benefits. However, accurate spatial information about public good values of biodiversity is missing. The Spatial non-market VAluation for Biodiversity (SVAB) project aims to address this gap through four objectives. It will: 1) develop a novel spatially explicit survey valuation methodology to improve the accuracy of non-market valuation of biodiversity; 2) develop a spatial sampling methodology to improve the efficiency of sampling in spatial valuation surveys; 3) use these methodologies to assess the non-market values associated with nature restoration and extension of the nature protected areas network (Natura 2000) in the Czech Republic; 4) engage with policy-makers and citizens to enhance the relevance of the methods and outcomes and inform decision making in policy and public spheres. SVAB will develop an individualised choice maps approach for stated preference research that enables testing the impacts of a wide set of spatial factors on public preferences for policy changes, test a spatial sampling strategy that will decrease survey costs in valuation and broader research, and improve the reliability of biodiversity valuation to inform spatial targeting of biodiversity policy. SVAB will enable the applicant to innovate spatial non-market valuation methods, develop new analytical and transferable skills, create new knowledge on societal benefits of nature, and publish the excellent research in leading journals in order to become an independent researcher. The project is highly interdisciplinary, combining economic and econometric methods, spatial analysis approaches, and biodiversity and ecosystem sciences.

Keywords: non market valuation,stated preference methods
Accelerating EU-US DialoGue for Research and Innovation in CyberSecurity and Privacy (AEGIS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Support the Union's external security policies including through conflict prevention and peace-building
Action type: Coordination and support actions
Countries involved: Ireland,Italy,Italy,Spain,United States
Call: EU Cooperation and International Dialogues in Cybersecurity and Privacy Research and Innovation (H2020-DS-SC7-2016, 2016)
Start date: 2017-05-01
End date: 2019-06-30
Duration (months): 26.0
Total project cost (EUR): 744262.5
EU funding (EUR): 500000.0
Participants: 7
Project status: CLOSED

AEGIS aims to strengthen dialogues between Europe and the US, in order to facilitate exchange of views, policies and best practices to stimulate cooperation around cybersecurity and privacy R&I, and contribute in shaping the future global cybersecurity and privacy landscape. AEGIS proposes a multi-stakeholder approach to engage relevant communities more actively and strategically in supporting dialogues and creating a common and orchestrated vision and strategy to accelerate EU-US cooperation in cybersecurity and privacy R&I. At the core of the AEGIS strategy is the Cybersecurity Reflection Group EU-US that will be established as a multi-stakeholder collaboration platform. The Cyber-RG EU-US, through its Working Groups, will address specific issues on international, technical trends, policy and legislation challenges in cybersecurity and privacy, and will facilitate the effective collaboration of a wide range of interested parties including policy makers, researchers, technology experts, business leaders, cyber policies experts and influencers and civil society. Under the leadership of the AEGIS consortium, these key groups will come together to decisively tackle cybersecurity and privacy related problems and to provide opinions and recommendations to policy dialogue. AEGIS will also provide a mapping of the cybersecurity and privacy landscapes in EU and US, benchmark relevant legislation and policies and promote innovation partnerships and opportunities for future EU-US cooperation in cybersecurity and privacy areas of mutual strategic interest. The AEGIS consortium is in a privileged position to generate significant impacts in both sides of the Atlantic, by leveraging the partnership’s network multipliers with a wide-ranging access to cybersecurity and privacy stakeholders, including researchers, think tanks, business and political decision makers, and thus to contribute significantly to deepen cybersecurity and privacy R&I cooperation between Europe and the US

Keywords: eu us cybersecurity and privacy randi cooperation,eu us dialogues,randi priorities,cybersecurity policies,cybersecurity legislation landscapes,innovation partnership,multi stakeholder approach,inco
Anticipating Safety Issues at the Design Stage of NAno Product Development (ASINA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Ireland,Italy,Italy,Italy,Spain,Spain,Spain,Ireland,Ireland,Italy,Italy,Italy,Italy,Finland,France,United States,United Kingdom,United Kingdom,Portugal
Call: Safe by design, from science to regulation: metrics and main sectors (RIA) (H2020-NMBP-TO-IND-2019, 2019)
Start date: 2020-03-01
End date: 2024-02-29
Duration (months): 48.0
Total project cost (EUR): 6052761.06
EU funding (EUR): 5998386.06
Participants: 23
Project status: SIGNED

Although previous EU funded projects have defined tools and concepts to ensure safety of nano-enabled products through design, many hurdles still hinder the implementation of these procedures in real production processes. ASINA will use the production value chains (VCs) of two representative categories of nano-enabled products (NEPs): coatings in environmental (clean) nanotechnology and nano-encapsulating systems in cosmetics, to formulate design hypothesis and make design decisions by applying a data-driven approach and methodology (the “ASINA-SMM”). Molded on industrial six sigma practices, the ASINA-SMM can be easily adopted by manufactures to deliver NEPs designed to be as safe as possible, so achieving ASINA vision to increase stakeholders (entrepreneurs, scientists, regulators, innovators, policy makers, consumers) confidence in SbD nanomanufacturing. The methodology encompasses distinct phases that ASINA will follow to deliver SbD solutions and supporting tools, at TRL6: define NEP, its intended use, production technologies and known quality, safety and cost requirements; measure performance attributes (techno-economic features, hazard and exposure potential along the entire life cycle) in relation to material (M) and process (P) design options; analyse data gathered from internal and external sources and derive/combine response functions, to identify the best compromise between possible design options; design new versions of the product/process that minimise risk, maximising performance; establish a pilot action to verify the capacity of ASINA-SMM to deliver practical, relevant, reliable and reproducible M- or P-SbD solutions. By its end, ASINA will provide a roadmap to generalise ASINA-SMM, and maximizing the positive impacts of further products, designed to improve environmental quality and human health/wellness, offering the transparency required to promote consumer acceptance and, as a consequence, the growth of reference industrial sectors.

Keywords: safety by design,nanoenabled products,production value chains,antimicrobial coatings,dermocosmetics
Multiphoton coincidence camera with high temporal resolution (gammaCam)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Coordination and support actions
Countries involved: Italy,Switzerland
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-03, 2018)
Start date: 2019-05-01
End date: 2020-07-31
Duration (months): 15.0
Total project cost (EUR): 99627.5
EU funding (EUR): 99627.5
Participants: 2
Project status: CLOSED

The gammaCam project aims at developing a novel type of camera detecting light at the level of individual photons. It is based on a state of the art CMOS sensor developed in the frame of the SUPERTWIN project. This sensor consists of an array of 32x32 pixels where each has a time resolution of 200 picoseconds and an observation rate of 800 kHz. A main objective of the project is to identify the various applications for such a camera module and to demonstrate the ability of the sensor to achieve the respective requirements. Finally a market study of the most promising applications will be performed.

Keywords: optical sensing,imaging,microscopy,time of flight imaging
An AI assistant using proprietary unsupervised algorithm(s) to automatically analyse large volumes of complex data to detect anomalies and recognize patterns in real time (Streem.ai)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 2591250.0
EU funding (EUR): 1813875.0
Participants: 1
Project status: SIGNED

Streem.ai is an AI anomaly detection tool for large volumes of time series data in real time. Its unsupervised machine learning enables identification of “new anomalies” without the need for annotated data. Our unique selling point is that Streem.ai identifies outliers and unusual behaviour using algorithms that are selected through our proprietary benchmarking algorithm. As a result, our users can benefit from an up to 85% reduction in time spent on data analysis, analysis of 100% of the available data and improved detection rate of previously unknown anomalies. The gap between the rate at which data is being collected and how fast it can be analysed is increasing exponentially, contributing to business insight latency amongst analysts and engineers in sectors as varied as manufacturing to healthcare. E.g. in the automotive industry, anomalies that go undetected can result in defective components going unnoticed until after market launch. In 2016 alone, defective components cost the car industry a record $22 billion through car recalls. The market size for testing in the automotive sector is now expected to grow at a CAGR of 5.02% from €15.9B in 2017 to €24.3B in 2023. Given the COVID-19 pandemic that the world is facing, Streem.ai’s core technology can aid with more quality and efficient virus testing by monitoring diagnostic machines and analysing test results to identify patterns for research. One of our successfully completed pilot projects was with Roche diagnostics, the project involved monitoring the Analyzer machine data. This project is being undertaken by Streem.ai GmbH based in Berlin. The CEO & one of the co-founders previously founded Plastelina which peaked 1.5m unique monthly visitors in 2000 representing 0.6% of all internet users then. The team has 12 employees of which 4 have PhDs. Through the Streem.ai project the company expects to create 18 new jobs and generate cumulative first 5 year profits of €18.84 million with a ROI of 493%.

Keywords: anomaly detection,data analysis,big data,automotive testing,unsupervised machine learning,deep learning,artificial intelligence,quality assurance,quality control,time series data
Establishing continuous biomarker monitoring for Big Data in fitness and healthcare (eCONFIDENCE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-01-01
End date: 2022-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Goal of the PoC is to evaluate possible commercial applications of a multi-sensor test strip and the necessary oxygen scavenger that were patented within the ERC starting grant “REDOX SHIELDS”. Such a multi-analyte sensor can be used to calibrate the millions of data points generated by wearables every day to improve the accuracy of non-invasive sensors in a Big Data scheme in fitness and healthcare. The test strip is designed to accurately measure multiple analytes from a tiny drop of blood.

Keywords: biosensors,biomarkers,big data,healthcare,point of care