Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
PREDICT (PREDICT)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Israel
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Improving the current medical practice for mental health disorders such as depression, is a major concern for all stakeholders.The overall costs such as social and professional disabilities, increasing suicide rates, remain under-researched and their impacts are under-recognized by key decision-makers. In light of the economic and social burden caused by major depressive disorder (MDD), there is a strong need in the EU to provide citizens with adequate diagnosis and optimized treatment options. In this framework, PREDICT represents an innovative and disruptive tool; it is an EEG integrated software-based solution for physicians, which monitors brain electrophysiological activity with the scope of supporting and optimizing treatment decisions for depressed patients. The adoption of PREDICT in psychiatric clinics will positively affect patients, clinicians and it will potentially reduce costs for health service providers and for the whole society. Innovative technologies such as non-invasive Transcranial magnetic stimulation (TMS) offer a good alternative to the conventional antidepressants drug treatment. There is clear shortage in clinical PREDICTion tools which support better informed decisions and tackle the need to personalize the patient treatment. Our solution will provide a real-time, cost-effective method to assess TMS treatment efficacy and allow higher rates of treatment response. At later stages of product development, it will be expanded to cover PREDICTion to all available anti-depressant treatments. The suggested feasibility study will assess the overall economic benefits and will support ElMindA in exploring intellectual property opportunities through IP management and updated “Freedom to operate” analysis. By providing an accurate, simple to use cost-effective tool, our project intends to deliver an innovative solution that can generate a strong impact on society, increasing the quality of life and life expectancy of people experiencing major depression.

Keywords: mdd treatment,prediction tools,ict tools,healthcare and well being,cost effective tool,accurate diagnosis
Technological Change: New Sources, Consequences, and Impact Mitigation (TechChange)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Italy,Belgium
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-05-01
End date: 2024-04-30
Duration (months): 60.0
Total project cost (EUR): 1268900.0
EU funding (EUR): 583966.0
Participants: 2
Project status: SIGNED

Technological change in information technology has the potential of transforming the production process of firms. Some processes such as automation affect workers directly, while others such as the introduction of automated workflow and control tools simply allow firms to grow to bigger sizes. We call the latter Quantity-Biased Technological Change (QBTC). The existing literature has done relatively little to understand the effects of such technological progress that affects the size and structure of firms and thereby indirectly the workforce. We aim to study this type of technological change, and especially how it affects the workforce in terms of employment and wage inequality. We aim to explore this intuitive idea in a model with highly heterogeneous firms and workers and decreasing returns to firm size. When technology enables firms to manage more workers, productive firms are now less limited by size considerations and tend to expand, affecting the marginal product of the workers. A preliminary calibration that aims to explains changes in the firm size, wage, and profit distribution in Germany over the last 15 years shows evidence of quantitative importance of the channel and its interaction with other effects, such as Skill-Biased Technological Change (SBTC). Yet there remain many obstacles: accounting for worker heterogeneity within the firm, exploring issues of market power, micro-founding the source of QBTC, and possibly linking it to new innovations such as the rise of artificial intelligence in firm management. In addition, we propose to revisit past periods of technological change and related policy interventions to gain insights for the future. To achieve this, we discuss how to analyze the past impact on regions with different industrial and occupational compositions. On top, we aim to explore a novel methodology to identify which and how many workers will be affected.

Keywords: wage inequality,firm size distribution,two sided matching
Mechanisms for the selective clearance of chemically damaged proteins in mammalian cells (PRO-CLEAR)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: SIGNED

Cellular homeostasis and survival critically depend on the ability to remove misfolded and damaged proteins. In cells, proteins are continuously exposed to reactive metabolites which introduce modifications such as oxidation, carbonylation, glycation or carbamylation. Such non-enzymatic post-translational modifications (nePTM) can irreversibly block critical interaction surfaces or reactive sites and thus pose a constant threat to proteome integrity. In line with this view, levels of nePTM are increased in diseased and aged tissues. In contrast, nePTM-bearing proteins are selectively degraded in healthy cells, suggesting the existence of a so far unknown pathway that recognizes and eliminates nePTM-bearing proteins. In this project, I will study the impact of nePTMs on protein turnover and explore the underlying molecular mechanisms. More specifically, I plan to (I) establish a reporter assay to monitor the degradation of proteins displaying individual amino acid modifications in human cells. This will allow to test effects of common nePTMs and to identify the precise chemical adducts that induce protein clearance. Aim (II) is to uncover the cellular machinery that mediates nePTM-triggered protein degradation. To this end, I will perform a genome-wide CRISPR screen for genes required to eliminate a fluorescent model substrate. Aim (III) of the project is to understand the mechanisms underlying the recognition and clearance of nePTMs. I will therefore characterize one newly identified mediator of nePTM-clearance in detail and test its ability to bind, degrade or modify nePTM-bearing proteins and will study the impact of its knockout on the turnover of endogenous proteins. Together these experiments promise to uncover a novel pathway for the quality control of chemically damaged proteins which will form the basis for understanding its role in physiology and human disease.

Keywords: cellular homeostasis,protein quality control,carbamylation,carbonylation,glycation,oxidation,crispr screening,non enzymatic post translational modifications
Artificial Intelligence for Next Generation Energy (I-NERGY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Spain,Italy,Italy,Germany,Spain,Spain,Italy,Croatia,Greece,Poland,Greece,Slovenia,Latvia,Portugal
Call: Artificial Intelligence on demand platform (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 5585744.5
EU funding (EUR): 4999844.5
Participants: 18
Project status: SIGNED

AI spreading in the energy sector is expected to dramatically reshape energy value chain in the next years, by improving business processes performance, while increasing environmental sustainability, strengthening social relationships and propagating high social value among citizens. However, uncertain business cases, fragmented regulations, standards immaturity and low-technical SMEs workforce skills barriers are actually hampering the full exploitation of AI along the energy value chain. I-NERGY will deliver: (i) Financing support through Open Calls to third parties SMEs for new energy use cases and technology building blocks validation, as well as for developing new AI-based energy services, while fully aligning to AI4EU service requirements and strengthening the SME competitiveness on AI for energy; (b) An open modular framework for supporting AI-on-Demand in the energy sector by capitalising on state-of-the-art AI, IoT, semantics, federated learning, analytics tools, which leverage on edge-level AI-based cross-sector multi-stakeholder sovereignty and regulatory preserving interoperable data handling. I-NERGY aims at evolving, scaling up and demonstrating innovative AI-as-a-Service (AIaaS) Energy Analytics Applications and digital twins services that will be validated along 9 pilots, which: (a) Span over the full energy value chain, ranging from optimised management of grid and non-grid RES assets, improved efficiency and reliability of electricity networks operation, optimal risk assessment for energy efficiency investments planning, optimising local and virtual energy communities involvement in flexibility and green energy marketplaces; (b) Delivers other energy and non-energy services to realise synergies among energy commodities (district heating, buildings) and with non-energy sectors (i.e. e-mobility, personal safety/security, AAL), and with non- or low-technical domains end users (i.e. elderly people).

Keywords: ai4 energy,cross stakeholder privacy preserving data handling and management,smes competitiveness in energy,intelligent energy management,improved grid reliability,well being,sustainability
Kidney Injury Technology (KIT)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Spain
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2014-11-01
End date: 2015-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Bio-inRen has developed and patented a revolutionary biomarker-based diagnostic system for a highly and increasingly incident (>10% yearly) and dismally deadly disease (Acute Renal Failure -AKI) posing a huge global health and economic problem worldwide. Bio-inRen’s diagnostic system is envisioned to 1) change the concept and approach to AKI clinical handling, 2) become a reference diagnostic, 3) reduce AKI incidence (by 2.5-5% initially) and improve patient prognosis, and 4) reduce the elevated cost associated to AKI (1% of their global health expenditure, which will be reduced initially in 650 M € in this 1.35 billion people population). An ELISA-based, clinically useful prototype kit has been developed for measurement of human samples. Clinical validation has started, although Bio-inRen’s system needs thorough clinical validation to acquire technological maturity and transferability, for which Phase I and II SME instrument are necessary, on which all the company’s resources will be laid. As a new concept, Bio-inRen’s technology has no competitors in the market or under development. The In Vitro Diagnostic Market grows at a 7% annual rate and will reach $69.1 billion by 2017. AKI-specific market is estimated at 3.5 M cases and 70 M diagnostic tests of the existing gold standard marker. Because Diagnostics is a global and regulated market, Bio-inRen will license the system to large companies and SMEs in the IVD market with manufacturing capacity and international commercialization channels. Technology transfer is expected by 2018 to yield 1 M € upfront and 5% royalties on sales thereafter. 5% market penetration is sought by 2023. As of today, 5% of 70 M tests poses 3.5 M tests as Bio-inRen’s market (6.4 M tests by 2023 at 7% annual growth rate). At a unitary sale price of 20 €/test, this means 128 M €. 5% royalties will produce a yearly income of 6.4 M € to Bio-inRen, which are critical for the consolidation and growth of the company.

Keywords: acute kidney injury aki,new diagnostic system,biomarkers
Boosting Excellence in Experimental Research for Agri-Food Economics and Management (AgriFoodBoost)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Italy,Greece,Sweden,Croatia
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2020-10-01
End date: 2024-03-31
Duration (months): 42.0
Total project cost (EUR): 899315.0
EU funding (EUR): 899315.0
Participants: 4
Project status: SIGNED

University of Zagreb Faculty of Agriculture (FAZ) has qualified scientists in the field of agri-food economics ready to improve their scientific, innovation and academic capacities in order to become competitive on the scientific market, but also to offer new expertise to agri-food business sector. Therefore, a 3-year project focusing on use of experimental economics applied to agriculture, food and the environment has been designed in partnership with 3 partners from Italy, Greece and Sweden. AgriFoodBoost project will help FAZ to become a regionally leading Centre for experimental agri-food economics and management. The project is aligned with the EU and Croatian Smart Specialisation Strategies tackling sectors recognized among the most competitive in Croatia. AgriFoodBoost activities include researchers’ exchanges, thematic summer schools and workshops, experts visits, participation at conferences, establishment of a laboratory for experimental economics and a research HUB with a role to bring together universities, industry and public administration. A special attention has been devoted to early stage researchers including long-term visits and double mentoring, participation in summer schools, workshops and PhD conference. A dedicated task will help to improved project management/administration skills of FAZ researchers and administrative staff. Communication, dissemination and exploitation activities include efforts to increase awareness of scientific community in Croatia and in the neighbouring region on recent developments in experimental economic. Furthermore, these activities are targeted towards businesses and policy makers aiming to increase their awareness and understanding of experimental economics purposes, potential areas of application and benefits as well as towards general public promoting experimental economics as a support for rational and responsible decision-making in order to achieve a positive societal and economic impact on the society.

Keywords: agricultural and food economics,experimental economics,consumer behaviour,land based,management
Research Infrastructures - Needs, Gaps and Overlaps (RINGO)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Countries involved: Germany,Spain,Germany,Italy,Italy,Spain,Germany,Belgium,France,France,Netherlands,Netherlands
Call: Identification of gaps, barriers and needs in the aviation research (H2020-MG-2016-SingleStage-INEA, 2016)
Start date: 2017-03-01
End date: 2020-02-29
Duration (months): 36.0
Total project cost (EUR): 1957545.0
EU funding (EUR): 1957545.0
Participants: 14
Project status: CLOSED

RINGO will deliver a holistic identification of research infrastructure needs, gaps and overlaps for the aviation sector in Europe with respect to fulfilment of the goals specified in the strategy document “Flightpath 2050” (see http://ec.europa.eu/transport/modes/air/doc/flightpath2050.pdf). In addition to the infrastructures themselves, the operation of infrastructures is analyzed and potential operation and business models for existing and future research infrastructures are derived. The outcome of RINGO will serve as input to the European Strategic Research & Innovation Agenda as well as provide a sound basis for decision making within the strategic planning of the related stakeholders, i.e. EC, Member States, ACARE, Industry, Research Establishments and Academia. For the identification of needs, investigations such as workshops, surveys and interviews will be conducted with active involvement of subject matter experts and stakeholders from across the European aviation community. In parallel, a catalogue with currently available aviation research infrastructures will be brought together based on previous work within actions such as the EU projects “AirTN” and “EASN”. Once available, the results on the needs (identified in the workshops etc.) will be compared to the catalogue of currently available infrastructures in the so called “matching” step. From the matching, gaps and overlaps in research infrastructures will be identified. In addition, a temporal resolution on when these facilities will be needed and should be available will be given by the experts. On the methodological approach, experience gained in several other EU projects such as the CSAs OPTICS, CAPPADOCIA and CATER will be exploited. Lessons learnt in this context with respect to data mining and knowledge capturing will be taken into account within RINGO.

Keywords: aviation research infrastructure,infrastrcutures,facilities,needs,gaps,overlaps,operational models,flightpath 2050,goals,strategy,aviation,aeronautics,ringo
Better tools for combating insect borne diseases by understanding influences on the fate of common pesticides in paint formulations (ChiPyrNMR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Malaria, Zika virus, dengue fever and yellow fever are mosquito transmitted diseases for which a vaccines either do not exists or are not widely available. Prevention control is the main way to reduce their spread, and the use of insecticides constitutes one of the key measures recommended by World Health Organisation. New innovative methods of bringing the insects into contact with the insecticides include the development of insecticidal paint with the advantage of safer application, targeted dosing and significantly reduced risk of collateral damage to humans and the environment. This project will address some of the challenges in developing these solutions. Pyrethroids are one of the best insecticides for public health use but suffer from hydrolysis and photo-degradation. Little is known about how their application in paint formulations affects this behavior. At a chemical level the biological activity of the individual enantiomers is determined by the configuration of their chiral centers, so accurately quantifying the enantiomeric composition is critical to tracking potential degradation. The aim of this project is to generate robust methods for a better understanding of the fate of insecticides in complex matrices like paint. Once the nature of the degradation products and the related mechanisms is clear, the formulation can be adjusted to minimize the occurrence of degradation or enhance active ingredient protection. The kinetic analysis of the degradation processes and the interaction/stability studies are best performed in-situ avoiding potentially invasive extraction sample preparation steps, so the powerful tools of advanced NMR spectroscopy will be exploited to characterize these phenomena. The knowledge gained will be used to validate/explain multidisciplinary laboratory biological trial results on mosquitoes and be able to be exploited more widely to other systems and support the research into other compounds for potential deployment in this way.

Keywords: pesticides,pyrethroids,paint formulation,stability,chirality
Regulating Umbilical Cord Blood Biobanking in Europe (REGUCB)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-01
End date: 2017-09-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The research proposed for this fellowship is a study of the establishment of national and European regulation on Umbilical Cord Blood (UCB) biobanking in a comparative perspective (the UK, Germany, France, Italy and Spain) and with an in-depth analysis of the implementation of regulation in the everyday practice of UCB practi-tioners, through a bi-national comparison in the UK and Italy. The first scientific aim is to offer an empirically grounded understanding of how regulations and their practical implementation influence the conducting of biosci-entific research and shape the structuring of different bioeconomy regimes in UCB science and clinical applica-tion. The second scientific aim is to contribute to the field of Science and Technology Studies (STS) by develop-ing an analytical approach combining macro-analysis on policy-making and regulations with meso- and micro-level analyses on the practical accomplishment of enacting regulations in everyday research practices, for offering a more comprehensive understanding of governance and policy-making in the field of biomedicine which inte-grate the role of structural factors with that of the agency of actors involved. Given the importance assigned by the European Union to the development of stem cell research and the coordination of biobanks, the proposed research aims also to offer useful policy suggestions for improving the harmonization and optimization of the EU circuit of supply of UCB units for biological research and medical applications. I will diffuse to practitioners and regulators the findings of the research related to the comparative analysis on national regulations, on the ways in which these interact with the EU directives and on how practitioners manage and enact compliance with national regulations, international directives and the exigencies of the global circulations of biomedical objects, standards, and proto-cols in biobanking.

Keywords: biobanks,bioeconomy,umbilical cord blood,regulations