Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Building energy retrofitting Assistance by Public authorities in AUvergne-Rhône-Alpes (BAPAURA)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: France,France,France,France,France,France,France
Call: Aggregation - Project Development Assistance (H2020-LC-SC3-EE-2019, 2019)
Start date: 2020-09-01
End date: 2023-08-31
Duration (months): 36.0
Total project cost (EUR): 1475593.85
EU funding (EUR): 1475593.84
Participants: 11
Project status: SIGNED

National and European energy savings in the building sector at small and medium-sized municipalities are not being met. Currently small and medium-sized municipalities in the region face significant challenges when meeting their energy savings goals due to the lack of technical and legal expertise hindering the use of advanced contracting schemes. Further challenges include scattered grants and lack of financial engineering at municipal level. BAPAURA aims to tackle these challenges by: • Supporting energy efficiency investments in 115 public buildings. • Developing advanced and centralised energy services dedicated to small and medium-sized municipalities focusing on project development assistance (legal, technical and financial). These services will support the deployment of energy performance guarantee contracts and facilitate the use of innovative financial instruments (e.g. white certificates). • Providing these services at department level through existing local energy support structures that will develop further “one-stop shop” services with the support of regional organisations. • Mobilising service providers and financial institutions at local level. • Introducing innovative financing by optimising the investment plan of municipalities, reviewing all financing options, adapting grants, harmonising subsidy request applications and mobilising white certificates. • Replicating the project results at regional, national and EU levels The main results that BAPAURA will trigger during the project’s lifetime are: • 23,627,000 € of total energy efficiency investments, with an average leverage factor of 16 • 7.8 GWh/year of primary energy savings • 1,437 t CO2 e/ year.

Keywords: energy efficiency investment,energy performance guaranty,refurbishment,small and mid size municipalities,energy support services,white certificates,public buildings,financial engineering
Building Next-Generation Computational Tools for High Resolution Neuroimaging Studies (BUNGEE-TOOLS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-09-01
End date: 2022-02-28
Duration (months): 66.0
Total project cost (EUR): 1450075.0
EU funding (EUR): 1450075.0
Participants: 1
Project status: CLOSED

Recent advances in magnetic resonance (MR) acquisition technology are providing us with images of the human brain of increasing detail and resolution. While these images hold promise to greatly increase our understanding of such a complex organ, the neuroimaging community relies on tools (e.g. SPM, FSL, FreeSurfer) which, being over a decade old, were designed to work at much lower resolutions. These tools do not consider brain substructures that are visible in present-day scans, and this inability to capitalize on the vast improvement of MR is hampering progress in the neuroimaging field. In this ambitious project, which lies at the nexus of medical histology, neuroscience, biomedical imaging, computer vision and statistics, we propose to build a set of next-generation computational tools that will enable neuroimaging studies to take full advantage of the increased resolution of modern MR technology. The core of the tools will be an ultra-high resolution probabilistic atlas of the human brain, built upon multimodal data combining from histology and ex vivo MR. The resulting atlas will be used to analyze in vivo brain MR scans, which will require the development of Bayesian segmentation methods beyond the state of the art. The developed tools, which will be made freely available to the scientific community, will enable the analysis of MR data at a superior level of structural detail, opening completely new opportunities of research in neuroscience. Therefore, we expect the tools to have a tremendous impact on the quest to understand the human brain (in health and in disease), and ultimately on public health and the economy.

Keywords: medical image analysis,probabilistic atlases
Peer learning on ways to enhance good practices in SME innovation support using the Seal of Excellence (PEER FOR EXCELLENCE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Belgium,France,Denmark,Portugal
Call: Peer learning of innovation agencies (H2020-INNOSUP-05-2016-2017, 2016)
Start date: 2016-11-01
End date: 2017-10-31
Duration (months): 12.0
Total project cost (EUR): 50000.0
EU funding (EUR): 50000.0
Participants: 5
Project status: CLOSED

The recent EC decision to rely on a “Seal of Excellence” to recognize Horizon 2020 proposals with outstanding (but non-funded) projects, caused significant constrains for national agencies responsible for managing Structural Funds. To address this issue, we propose a “Peer learning on ways to enhance good practices in SME innovation support using the “Seal of Excellence” (PEER FOR EXCELLENCE)”. PEER FOR EXCELLENCE aims to produce a Design Options Paper for the implementation of financing mechanisms (public and/or private), that will help all European, national and regional funding agencies to harness the potential of the distinction provided by the “Seal of Excellence” to successfully fund high impact innovation projects. PEER FOR EXCELLENCE will be based in the sharing of experiences and practices analysis supported by the twinning advanced methodology. This will allow the leveraging and systematization of the knowledge, not only of the members of the consortium, but also of all of the relevant European process stakeholders. This work will be supported by an initial assessment of existing practices in European countries, and will compare them with the ones adopted by the national/regional authorities in each of the participating countries. This comparison will be made based on both the explicit and the tacit knowledge that exists in the participating organisations, thus enabling a process of peer learning among them (and with other interested parties that have similar challenges). The submitting organizations have a relevant stake in the national/regional funding mechanisms in their country, where they also play a significant role as host organizations of the Enterprise Europe Network (EEN), supporting several SMEs that were already distinguished with the “Seal of Excellence”. This enables privileged first-hand knowledge of both parties perspective (funding entities and SMEs) on this subject.

Keywords: twinning,seal of excellence,best practice,funding
Engaged Universals: Ethnographic explorations of ‘Universal Health Coverage’ and the public good in Africa (UNIVERSAL HEALTH)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Norway
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-09-01
End date: 2024-08-31
Duration (months): 72.0
Total project cost (EUR): 1484797.0
EU funding (EUR): 1484797.0
Participants: 1
Project status: SIGNED

UNIVERSAL HEALTH is an anthropological study that follows how a new global policy, Universal Health Coverage (UHC), travels and is engaged by policy-makers, bureaucrats and citizens in three African countries. Defined by the WHO as ensuring that all people can use the health services they need without financial hardship, UHC is a powerful concept that approaches public health as a matter of justice and obligation and is included in the Sustainable Development Goals. UHC is particularly important in Africa, where structural-adjustment policies undermined state capacity, promoted privatization and pushed the burden of payment onto the poor. Recent global health initiatives have done little to address the neglect of national health-care systems and citizens’ lack of trust in them. In these contexts UHC is interesting because it reinserts questions of state responsibility and the public good into health-care. Historically however, African states have only partially pursued the public good, while in practice UHC is surrounding by conflicting interests. UHC is thus not a universal model but a contested field, making it an intriguing site for anthropological research. With a focus on actors and institutions at global, national and local levels in each country, the project will explore how moves towards UHC engage relations between states and citizens and universal concepts such as the public good; how UHC intersects with formal systems of social protection; and how it influences informal social networks that support health, thus situating UHC in national histories and social practices. Tracking the frictions surrounding UHC at the levels of policy-making, implementation, among beneficiaries, and in public debate, the project will use ethnographic methodology in innovative ways through fieldwork that is multi-sited and multi-level. The project’s focus on a global policy and the public good opens new research directions and will produce knowledge of relevance beyond Africa.

Keywords: social anthropology,african studies,medical anthropology,critical global health,anthropology of the state,development studies,postcolonial studies,ethnography of policy,welfare
Cells in Matrix – an innovative 3D model for R&D of Diabetes (Cells in Matrix)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Germany,Israel,Switzerland
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2019)
Start date: 2020-03-01
End date: 2023-02-28
Duration (months): 36.0
Total project cost (EUR): 3340842.5
EU funding (EUR): 2640417.5
Participants: 4
Project status: SIGNED

The demand for diabetes drugs keeps increasing as adult Diabetes prevalence reached 425 million people in 2017 (1 in 11 adults) and is estimated to rise to 629 million till 2045. The market of Diabetes drugs is expected to reach €80.5 Billion in 2019 while the investment in Diabetes drug development is ~ €4 Billion (CAGR of 13%). There is a constant need for more effective diabetes medications, hampered by the poor predictability of the current systems for identification of lead compounds during drug discovery. The failure rate of new drugs development is about 90% and the cost for reaching the market with a new drug is ~ €1 Billion. Cells in Matrix Project develops an innovative 3D model for R&D of Diabetes Drugs , an Engineered Micro Pancreas (EMP) based on organ-derived 3D cell culture and human sourced insulin producing cells as an innovative tool for accelerating and cost reduction of Diabetes drug development. EMP system offers significantly extended shelf life and function for in-depth studies of drug molecules mode of action, validation, toxicology and in vitro pharmacokinetics, rendering higher prediction reliability. Cells in Matrix disruptive technology creates market added value to all the stakeholders, especially pharma industry, by improving compound screening at least X4 (from 5% rate of success today to at least 20%), resulting in cost saving that could reach €100 million per innovative new drug development. The project receives strong interest from stakeholders and plans immediate commercialization of the product to direct endusers, including academia and pharma companies, such as Boehringer Ingelheim. The FTI funding will enable market entry and validation & support external fundraising for the wider penetration of the global drug discovery market. Betalin Therapeutics and Kugelmeiers, the project commercial leading partners will share the growth and revenues gained by its commercial success.

Keywords: diabetes,3d model
KNOWLEDGE FOR PREVENTION. TECHNIQUES FOR REPAIRING SEISMIC DAMAGE FROM MEDIEVAL PERIOD TO MODERN ERA (PROTECT)

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: Social Sciences and Humanities
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-12-01
End date: 2023-11-30
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: SIGNED

Techniques for repairing seismic damages are specific solutions implemented in buildings to combat, mitigate or prevent the earthquake effects. Although this type of technique was used in Ancient periods, probably as forms of empirical experimentation with reference to the formation of particular frequent forms of damage of seismic origin, there is still no understanding of their real spread and development within geographical contexts and chronological periods. Especially for specific historical periods, such as the Middle Ages, this type of elements is frequently found in buildings, but they are rarely referred to in written sources. Thus buildings themselves become the main source from which we may understand the diffusion, and the historical and geographical development, of this kind of construction phenomenon. The aim of the project is the application, in a wholly experimental way, of the methods of archaeology of construction with the aim of documenting the techniques for repairing seismic damage on the later medieval buildings located in a significant sample area affected in the past by important seismic events: a portion of the old city centre of Siena, in Italy. The results obtained from the analysis of Siena will later be compared with those from the research carried out on the town of Manosque. The main resulting goals of the project are: identifying and creating an atlas of the traces of the effects of historical earthquakes and of the ways of intervening in the past on buildings; drawing up a protocol for archaeoseismological analysis of large and small historic town centres, applicable in the future to other national and international contexts. The project presents a methodology based on a highly interdisciplinary approach that envisions the application of methodologies belonging to the human sciences (archaeology of construction and historical seismology) together with scientific disciplines (engineering, architecture, geotecnics and geology).

Keywords: archaeology of architecture,archaeoseismology,building techniques,siena,3d survey
Artificial Intelligence in Colonoscopy for Cancer Prevention (ACCEPT)

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: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-06-01
End date: 2023-09-23
Duration (months): 24.0
Total project cost (EUR): 214158.72
EU funding (EUR): 214158.72
Participants: 1
Project status: SIGNED

Removal precancerous polyps (so-called adenomas) during colonoscopy reduces colorectal cancer incidence and mortality. We have recently developed artificial intelligence (AI) systems which optimise colonoscopy quality by aiming at increasing the detection of adenomas. However, it is unknown if this benefit of AI translates into improved cancer prevention. To establish the role of AI in colorectal cancer prevention, we here propose a three-step research portfolio targeting individuals in the national colorectal cancer screening programmes in Norway and Poland. 1) A 1-year observational study to clarify the superiority of AI in adenoma detection in the average-risk population. 2) A cost-effectiveness analysis for cancer prevention, using real-world data obtained from the part 1 study. 3) Establishment of an infrastructure for long-term (10 years) follow-up of 40,000 individuals to quantify the effect of AI on colorectal cancer incidence. We use propensity score matching to balance the background characteristics of the two comparing arms; AI-assisted colonoscopy and standard colonoscopy. Participants are followed through national cancer registries for ten years after cancer screening. Our project is the first of its kind and made possible by the unique collaboration of world-class environments in clinical epidemiology and medical device assessment with world-leading AI developers. The project will enable evidence-based implementation of AI technologies into nationwide cancer screening programmes in Europe and the world. The project’s achievement will be maximised through detailed plans for training, monitoring, management, exploitation, dissemination, and communication. While adding essential competence to the host institution, this project will increase the applicant’s skill, especially in epidemiologic aspects, helping him obtain an independent academic position in translational research of AI for medicine.

Keywords: cancer prevention,endoscopy
Intelligent decision from vineyard robots (VineScout)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Spain,Spain,France,Portugal,United Kingdom
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2016-1, 2016)
Start date: 2016-12-01
End date: 2020-11-30
Duration (months): 48.0
Total project cost (EUR): 2125081.25
EU funding (EUR): 1741225.63
Participants: 6
Project status: CLOSED

The wine industry is strategically for Europe, both economically and socially speaking. Its competitive position in the global market depends on the long-term reputation of its wines, which needs many years to be built but can be lost quickly with a poor wine. The risk of losing reputation is high when repeatability cannot be granted, which happens ever more in the vineyards where manual data sampling is meager due to unaffordable costs. Therefore, our aim is to industrialize, demonstrate, and take as first ones to market an innovative expert field monitoring system (decision support system) embedded in a small-size and cost-efficient robot for the vineyard, which will be the follow-up of the successful EU-funded project VineRobot (TRL6/7). In order to ensure commercial success, we will optimize both the external design and the internal electronics, as well as industrialize the navigation and mapping software for top performance, protection, and user friendliness. For this we count on an industry-driven consortium, targeting one of the largest agricultural sectors in Europe, with a strong business plan and the support of a large number of committed industry leaders and end-users, ensuring a rapid market deployment. Market penetration will be boosted by the SMEs already active in the robotics and viticulture sectors, reinforced by strategic tradeshows and international conferences. As a result, we target a cumulative turnover of €33 Million in five years yielding €10.9 Million of industrial benefits, reaching a market adoption of 5% which will provide service to 54,540 ha of EU vineyard area. In addition, VineScout technology will attract young farmers to rural areas, which is becoming crucial for the sustainability of the sector since current farming population is near retirement age. The practical adoption of robotics in agriculture will create employment, in part with the advent of new industries related to ICT, precision management, and data interpretation.

Keywords: precision agriculture,decision support,robotics,automation,real time mapping,on the fly monitoring,smart agriculture,agile platform,cost efficiency
Feasibility of Bio-based Propylene Glycol (BioPG)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Estonia
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-08-01
End date: 2017-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Propylene Glycol (PG) is a non-toxic alcohol that is used in various consumer and industrial applications, such as food and beverage, feed, cosmetics, pharmaceutical, plastics, electronics, etc. Its unique combination of properties makes it a valuable solvent, emulsifier, stabiliser, freezing point reducer and much more. Still, dependency on oil prices, as well as costly and environmentally unfriendly production processes make PG today an expensive additive compared to alternative Ethylene Glycol (EG), a toxic chemical with similar properties and uses, but a tenfold larger market. EG has a sweet taste and is often accidentally ingested, leading to hundreds of fatal intoxication cases around the world annually. Estonian SME Nano OÜ has developed a novel process to produce bio-based PG from agricultural waste in a fermentation process similar to ethanol fermentation. Innovative production process and our choice of raw materials bring down the produc agricultural waste tion cost and make PG price-competitive with hazardous EG, enabling to replace the latter in various high-value applications where human exposure is inevitable. The BioPG project helps Nano to assess the business potential and economic feasibility of the proposed innovation, and focuses on: • Creating a business plan to define the best strategy for the commercialization of the method; • Conducting a freedom-to-operate study to ensure no other patents are infringed by the proposed innovation project; • Preparing a preliminary design of a pilot plant for PG manufacturing. As the result of the feasibility assessment, Nano will have necessary high-quality input to compose a competitive proposal for SMEI Phase 2 project, where detailed blueprints for the pilot plant are engineered and preparations for building the plant are made. After successful commercialisation, the expected annual turnover of Nano reaches €93 million by 2023.

Keywords: propylene glycol,agricultural waste,multiple industrial applications,environment friendly substitute for toxic chemical