Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Exploring the impact of social mobilization on cooperation in community-based natural resource management systems: Insights from water conflicts in Spain and Mexico (COMOVE)

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: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-09-01
End date: 2018-08-31
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

Environmental conflicts and related social movements can, under some conditions, help to improve the management of natural resources at local levels; we do not know yet, however, what those conditions are. This project uses social movement and common-pool resource theories to address this gap. For this purpose, the project builds on the work of environmental justice scholars pointing to the uniqueness of socio-environmental movements that involve the participation of local resource-dependent communities. This is a project of substantial policy relevance. Environmental justice conflicts are an endemic phenomenon in our societies, with more than 1200 instances registered across the world. Many of those conflicts have great potential to improve natural resource management or just the opposite depending on how they are treated. Most importantly, there is an international consensus about the benefits of decentralized management and community stewardship for socio-ecological sustainability; however, such stewardship faces problems of cooperation and institutional failure. The study will shed light on the role of social movements in helping communities with these problems. Objectives and methods of the project include: 1) a meta-analysis of environmental justice movements in Spain and Mexico to explore variation in movements’ activities and membership across environmental and governance contexts; 2) a comparative case study of irrigation communities in the Yaqui and Ebro valleys (Mexico and Spain) to explore whether the impact of social mobilization on cooperative management varies depending on the type of leadership and discourses used to mobilize communities, the mobilization activities, and the movements’ membership; 3) a new model that integrates mobilization and cooperation to better understand community-based natural resource management; and 4) policy recommendations vis a vis the integration of conflict resolution and resource management policies at local levels.

Keywords: ommon pool resources cpr,community based natural resource management,irrigation systems,mexico,spain,environmental justice conflicts,social movement theory,cpr theory
Development and commercialization of a semi-supervised learning AI for robust diagnosis in real world settings. (MrDoc)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2020-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Non-communicable diseases such as cardiovascular diseases, diabetes, are by far the leading cause of death in the world and a growing burden for patients, healthcare providers and local economies. Despite many NCDs conditions like cardiac arrhythmia, diabetes, hypertension can be cured with early detection, they don’t often show symptoms. During their medical check-up, medical practitioners (GP) can’t be accurate as specific examinations (e.g. EGCs, blood tests), resulting in a growing number of errors or false negative/positive, which represent for Healthcare systems and additional financial burden. People are usually discouraged from doing specific examination due to long waiting time, invasiveness of medical tests and additional costs.Even if technological advancements have led to AI based easy-to-use solutions able to contribute positively to easy and early detection of diseases and pre-diseases condition, they come along with many significant limitations, such as the need to train on huge amounts of labelled data and difficulties in managing inputs that are noisy, incomplete or simply different from the original dataset (such data generated from a smartphone camera).This results in limited accuracy or significant costs and time consume for labelling of data. We have developed a platform based on a semi-supervised learning AI, able to analyse and interpret medical dataset through a process that mimics human creative imagination and, in a very short timeframe, detect and diagnose some NCDs and biometric parameters (blood pressure, Heart rate variability, haemoglobin, blood glucose) from “dirty” signals, generated by consumer electronics devices (smartphones, closed circuit cameras, etc.), with a high level of accuracy overcoming existing limitations.We aim at selling and licence our solution to 3 main targets: - final consumers/patients, - producers/owners of software and hardware tools (as well as Apps) in Health sector, Pharmaceutical companies.

Keywords: diagnostics,semi supervised learning ai,non communicable diseases,diagnostic ai
Innovative approaches to turn agricultural waste into ecological and economic assets (NoAW)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Germany,Germany,Germany,Germany,Italy,Hong Kong,Taiwan, Province of China,China,Greece,Serbia,Hungary,Sweden,Switzerland,Serbia,France,France,France,France,Netherlands,Netherlands,Denmark,Denmark,Denmark,Portugal
Call: Ensuring sustainable use of agricultural waste, co-products and by-products (H2020-WASTE-2015-two-stage, 2015)
Start date: 2016-10-01
End date: 2021-01-31
Duration (months): 52.0
Total project cost (EUR): 7816232.5
EU funding (EUR): 6887570.0
Participants: 35
Project status: CLOSED

NoAW : No Agro-Waste. Innovative approaches to turn agricultural waste into ecological and economic assets. Driven by a “near zero-waste” society requirement, the goal of NoAW project is to generate innovative efficient approaches to convert growing agricultural waste issues into eco-efficient bio-based products opportunities with direct benefits for both environment, economy and EU consumer. To achieve this goal, the NoAW concept relies on developing holistic life cycle thinking able to support environmentally responsible R&D innovations on agro-waste conversion at different TRLs, in the light of regional and seasonal specificities, not forgetting risks emerging from circular management of agro-wastes (e.g. contaminants accumulation). By involving all agriculture chain stakeholders in a territorial perspective, the project will: (1) develop innovative eco-design and hybrid assessment tools of circular agro-waste management strategies and address related gap of knowledge and data via extensive exchange through the Knowledge exchange Stakeholders Platform, (2) develop breakthrough knowledge on agro-waste molecular complexity and heterogeneity in order to upgrade the most widespread mature conversion technology (anaerobic digestion) and to synergistically eco-design robust cascading processes to fully convert agro-waste into a set of high added value bio-energy, bio-fertilizers and bio-chemicals and building blocks, able to substitute a significant range of non-renewable equivalents, with favourable air, water and soil impacts and (3) get insights of the complexity of potentially new, cross-sectors, business clusters in order to fast track NoAW strategies toward the field and develop new business concepts and stakeholders platform for cross-chain valorisation of agro-waste on a territorial and seasonal basis.

Keywords: eco design,circular economy
SynchroniCity: Delivering an IoT enabled Digital Single Market for Europe and Beyond (SynchroniCity)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Spain,Germany,Spain,Italy,Italy,Spain,Belgium,Finland,Korea, Republic of,Switzerland,Belgium,Switzerland,Belgium,France,Netherlands,Netherlands,Netherlands,Portugal,United Kingdom,Mexico,Denmark,United Kingdom,United Kingdom,United Kingdom,Portugal
Call: Large Scale Pilots (H2020-IOT-2016, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 20048645.41
EU funding (EUR): 14983817.629999999
Participants: 45
Project status: CLOSED

SynchroniCity represents the first attempt to deliver a Single Digital City Market for Europe by piloting its foundations at scale in 11 reference zones - 8 European cities & 3 more worldwide cities - connecting 34 partners from 11 countries over 4 continents. Building upon a mature European knowledge base derived from initiatives such as OASC, FIWARE, FIRE, EIP-SCC, and including partners with leading roles in standardization bodies, e.g. ITU, ETSI, IEEE, OMA, IETF, SynchroniCity will deliver a harmonized ecosystem for IoT-enabled smart city solutions where IoT device manufacturers, system integrators and solution providers can innovate and openly compete. With an already emerging foundation, SynchroniCity will establish a reference architecture for the envisioned IoT-enabled city market place with identified interoperability points and interfaces and data models for different verticals. This will include tools for co-creation & integration of legacy platforms & IoT devices for urban services and enablers for data discovery, access and licensing lowering the barriers for participation on the market. SynchroniCity will pilot these foundations in the reference zones together with a set of citizen-centred services in three high-impact areas, showing the value to cities, businesses and citizens involved, linked directly to the global market. With a running start, SynchroniCity will serve as lighthouse initiative to inspire others to join the established ecosystem and contribute to the emerging market place. SynchroniCity takes an inclusive approach to grow the ecosystem by inviting businesses and cities to join through an open call, allowing them to participate on the pioneering market place enabling a second wave of successful pilots. They will strengthen the ecosystem by creating a positive ripple effect throughout Europe, and globally, to establish a momentum and critical mass for a strong European presence in a global digital single market of IoT-enabled solutions.

Keywords: market creation,digital single market,smart cities,urban scale validation,global collaboration,citizen engagement,standards
Commercialisation of Ventura Habitat - a novel wind turbine blade maintenance enclosure to maximize downtime productivity (Ventura Habitat)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: United Kingdom
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-04-30
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

GEV Wind Power is one of Europe's leading wind-turbine maintenance companies with teams working on more than 40 wind farms both on and offshore every year. With a presence throughout Europe and North America, GEV Wind Power is a truly global service provider. We understand that it is important to wind energy maintenance companies to find new ways of delivering core services to reduce the cost of energy provision. To realise this vision, we commit significant financial resources to in-house R&D and are constantly looking at technologies that fit well for Wind Energy. We have now developed a patented habitat solution that retrofits to market available access platforms. This creates the perfect protective working environment for blade maintenance and repairs to be completed. Maintenance productivity is increased and, with the added benefit of 24 hour working, GEV Wind Power are able to eliminate the cost uncertainty of weather downtime and will help wind farm owners reduce maintenance costs, improve Annual Energy Production (AEP) and the competitiveness of wind generated energy. Trials completed onshore with our Ventura Habitat prototype using two different access platforms (Power Climber and Kaeufer) in varying weather conditions and ranging between 30 metres and 100 metres high, with successful deployment demonstrating the flexibility and operability of the Habitat in a real-life environment. The overall objective of this development project is to create a commercially ready Ventura Habitat system, with validated results through field trials. This will enable us to achieve our overall commercial objective to become the leading blade maintenance services provider in Europe and North America. We forecast a total revenue of €20 million and a profit of €5 million 5 years post-commercialisation, with a breakeven on investment after 3.43 years and an ROI of 150%.

Keywords: wind turbine,blade repair
Advanced System for Foreign Object Debris, Drone and Bird-Aircraft Strike Avoidance (FODBASA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2019-04-01
End date: 2021-06-30
Duration (months): 27.0
Total project cost (EUR): 2133750.0
EU funding (EUR): 1493625.0
Participants: 1
Project status: CLOSED

The aviation sector is increasingly facing various safety threats to passengers, crews and aircraft caused by foreign object debris (FOD) as well as birds and the growing number of drones on runways and surrounding airport areas. Given the high impact of potential accidents and incidents – damage to aircraft and potential loss of lives – there is a continuous adoption of best practices and technologies to mitigate these risks. Today, all airports rely on periodic vehicle patrols for runway inspections, but such procedures have several limitations. Alternative technological approaches are expensive and only detect FOD. Thus, today’s approaches have not been effective, and the aviation sector experiences costs that are estimated in $13Bn/year due to FOD and bird-aircraft strikes. MS3E aims to seize a major market opportunity, offering an innovative solution – FODBASA - that has been specifically developed to overcome limitations of existing solutions and to meet the demand for safer solutions for the aviation sector. FODBASA is an autonomous radar-camera-based system designed for simultaneous detection of FOD, birds and drones. Our system provides cost-effective, accurate real-time FOD, birds and drone detection on runways and within a 10-km radius of the airport. FODBASA project goal is to complete the development cycle of the FODBASA, performed during the EUROSTARS project and implement the necessary activities to overcome the remaining barriers related to market entry through refinement, scale-up and demonstration activities at Billund (DK) and London Stansted (UK) airports. FODBASA is a cost-efficient solution, triggering an attractive business case for any airport with more than 10k movements/year. FODBASA is expected to generate €78.5 million in revenue and €33.8 million in gross profit, in 5-years post-project.

Keywords: airport,foreign object debris detection,bird detection,drone detection,radar camera based system
Targeting common oncogenes with intracellular monobodies (ONCOINTRABODY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Germany,Switzerland
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-08-01
End date: 2023-12-31
Duration (months): 89.0
Total project cost (EUR): 1996055.0
EU funding (EUR): 1419148.41
Participants: 2
Project status: SIGNED

Oncogenic signalling networks display a remarkable degree of plasticity. Despite only a limited number of alterations in oncogenes and tumour suppressor genes in most tumours, the majority of targeted therapeutics (monoclonal antibodies and small-molecule kinase inhibitors) does not strongly improve the survival of cancer patients and suffers from the rapid development of resistance. The rising number of targeted drugs in clinical use inhibits only a very limited number of protein targets (largely kinases). Consequently, most intracellular non-kinase oncoproteins remain untargeted. We have previously established the use of small engineered antibody mimics, termed monobodies, to potently and specifically target intracellular protein-protein interactions mediated by the SH2 domains of oncogenic kinases and phosphatases. Expression of SH2-targeting monobodies resulted in the inhibition of signalling and oncogenesis of these oncoproteins. Here, we aim at developing monobody binders to 10 key intracellular oncoproteins for which no chemical inhibitors exist and testing their activity in cancer cells. To enable a possible clinical translation of monobody-based therapeutics, we will develop methods to deliver monobody proteins into cells, including cell-penetrating peptides, bacterial toxins and biocompatible nanocarriers. 'Mirror-image' monobodies, composed of D-amino acids, will be developed and tested to increase intracellular and plasma stability and to limit immunogenicity. The developed monobodies and delivery systems are planned to be tested in mouse cancer models. Our goal is to establish monobodies as novel class of intracellular protein-based therapeutics. We hope to kick off their use beyond basic research tools towards possible applications in cancer patients. This innovative endeavour uses state-of-the-art protein engineering techniques to address a central problem in cancer medicine and may provide a ground-breaking new approach to target cancer.
Scaling up behavior and autonomous adaptation for macro models of climate change damage assessment (SCALAR)

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: Netherlands,Netherlands
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): 1499691.0
EU funding (EUR): 1033508.66
Participants: 2
Project status: SIGNED

Damage associated with climate change is a core benchmark in science and policy. Macro Integrated Assessment Models estimating damages are criticized for neglecting risk distribution, adaptation dynamics and the possible collapse of regional economies. Micro-level social science studies contain substantial knowledge on individual behavior, decisions under risk and autonomous climate adaptation, and go beyond monetary losses by focusing on resilience. This knowledge can ameliorate theoretical and empirical flaws in current macro assessments, if adequate scaling up methods were to exist. SCALAR aims to bridge the gap between micro and macro research traditions by modeling the behavioral aspects of autonomous adaptation processes of heterogeneous agents, and integrating them into macro level climate policy models. The project focuses on floods. Its innovative nature allows to revisit the classic micro-macro aggregation problem through a unique combination of: 1) New behavioral data on climate adaptation decisions collected in multiple survey waves using mobile applications, going beyond a snapshot to uncover evolving decision processes; 2) Advances in agent-based modeling to scale up adaptation decisions of heterogeneous households and firms to a regional economy while including land use and hazard data; 3) Cutting-edge ways of integrating micro-simulation models with traditional macro models to synergize the two approaches for developing new theory- and data-grounded macro damage assessments. SCALAR will drive a major breakthrough in integrating behavioral aspects of human decision-making into macro climate policy models. It will enable the quantitative exploration of cross-scale damage cascades, the identification of thresholds over which autonomous adaptation impacts the macro level, and the tracing of the emergence of socio-economic resilience as climate change unfolds. The methodological advancements will have impact far beyond the domain of climate adaptation.

Keywords: climate change adaptation,flood risk,agent based modeling,coupled human natural systems,coupled social ecological systems,resilience,model integration
Molecular Device for Optical Monitoring of Self-Replication in Compartments (SRCV)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: CLOSED

Unravelling the origin of life and achieving the de-novo synthesis of life are among the grand challenges in contemporary science. Self-replicating molecules play a central role in addressing these challenges. Progress in the field of self-replication is hampered by limitations in monitoring the replication process in real-time, particularly when using low concentrations and small sample volumes (i.e. in protocell environments). Here we propose to employ, for the first time, a new optical pattern-generating combinatorial fluorescent molecular device (expertise of the Experienced Researcher) for the real-time monitoring of the dynamic evolution of self-replicating molecules (expertise of the Host Lab). The binding of the sensor to the self-replicators affects the intensity and/or position of the bands of each of the chromophores contained in the sensor at different emission channels, thus generating a unique optical fingerprint (fluorescent pattern) for each self-replicator. The method allows optical identification and tracking of self-replicators in real-time and requires only small sample volumes. The latter characteristic allows self-replication to be monitored inside cell-like compartments (coascervate droplet or bilayer vesicles), enabling, for the first time, to study replication inside such compartments. Merging replication with compartmentalization constitute an important towards developing a minimal form of life. Furthermore, compartmentalization in small volumes allows large numbers of experiments to be conducted in parallel, which would, for the first time, enable studying stochastic effects important for evolution of synthetic self-replicators.

Keywords: origin of life,de novo synthesis of life,systems chemistry,self replication,dynamic combinatorial chemistry,combinatorial fluorescent molecular device,compartmentalization,stochastic effects