Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Indigenous Communities, Land Use and Tropical Deforestation (INCLUDE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Austria,Switzerland,United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-11-01
End date: 2021-10-31
Duration (months): 60.0
Total project cost (EUR): 1952183.0
EU funding (EUR): 1596376.81
Participants: 3
Project status: CLOSED

Tropical deforestation is an important contributor to climate change, through the release of significant amounts of carbon in the atmosphere. The main proximate cause of deforestation in tropical regions is agricultural expansion, followed by timber extraction. The general objective of this research is to understand how the interaction of technological, environmental, economic and social factors influence land use dynamics, including household decisions, about agricultural expansion and resource extraction in sensitive tropical regions. More specific questions relate to the role of various governance structures, particularly those recognizing common property regimes of land tenure to indigenous and rural communities, and the deliberative evaluation about the opportunity of reforming such structures in order to reduce deforestation and forest degradation. Although such aspects have been addressed in a variety of contexts, the approach proposed here is novel as a) it explicitly models the interaction between institutional, environmental, technological and socio-economic factors at different spatio-temporal scales, b) it specifically focuses on the governance structures associated with different land tenure regimes through the lenses of Social Network Analysis (SNA), c) uses a Q-methodology framework to develop a participatory approach to study stakeholders’ perspectives and attitudes on the necessary governance interventions to prevent deforestation and forest degradation and d) it assesses the relationships between agricultural expansion, deforestation, governance structures and stakeholders’ attitudes, with particular attention to the sensitivity of household land use decisions and resource extraction. In order to meet the research objectives, this project will focus on the province of Salta in the dry Chaco in North-Western Argentina, a region characterized by high rates of land cover change and the presence of indigenous/rural communities.
Sustainable resource governance under pressure: How to govern trade-off situations under global change (GOVTROFF)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Switzerland,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-01
End date: 2025-01-31
Duration (months): 36.0
Total project cost (EUR): 278840.64
EU funding (EUR): 278840.64
Participants: 2
Project status: SIGNED

Despite near-global consensus on Sustainable Development Goals and the Paris Agreement on Climate Change, unresolved and politically contentious trade-offs between sustainability, economic growth, and climate adaptation and mitigation have undermined implementation. The situation is particularly vexing for policy makers , who often have incomplete knowledge about specific threats, but still bear responsibility for managing trade-offs between competing resource uses and avoiding dangerous thresholds and irreversible impacts. Despite burgeoning research on sustainability and resource governance, scholars have not yet systematically investigated how trade-offs are managed in practice. GOVTROFF will fill this gap through three objectives: (1) Development of a coherent method, which enables ‘deep diagnosis’ of collective decision-making in complex governance systems facing trade-offs. (2) To assess the method’s feasibility and validity and to get new insights about governance arrangements for effective response to trade-off situations, the method will be applied to UNESCO World Heritage Sites. (3) To enable multi-case comparative studies, meta-analyses, and cumulative knowledge, GOVTROFF establishes an empirically operable analytical scheme. The scheme is complemented by an open research infrastructure. The long-term goal of this research is to provide policy makers with effective design principles for how complex trade-off situations in resource management can be governed sustainably to meet emergent 21st century environmental and social threats. The results will contribute to one of the European Union’s main objective to ensure ‘Stable and sustainable development’ and to achieve UN Sustainable Development Goals as well as the Paris Agreement on Climate Change. The fellowship will provide the adoption of specific new skills and building the transferable strengths that will impact the employability and career prospects of the fellow significantly.

Keywords: resource governance,trade offs,sustainable development,climate change,unesco world heritage sites,institutional analysis and development iad framework,networks of action situations nas
Enhanced Situational Awareness through Video Integration with ADS-B Surveillance Infrastructure on Airports (ENVISION)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Belgium,France,United Kingdom
Call: Enabling Aviation Infrastructure: CNS (H2020-SESAR-2016-2, 2016)
Start date: 2018-01-01
End date: 2019-12-31
Duration (months): 24.0
Total project cost (EUR): 1259325.0
EU funding (EUR): 983083.0
Participants: 4
Project status: CLOSED

The constant growth of air traffic will put regional and local airports under ever more pressure for increasing their capacity. However, safety and efficiency gains allowed by the deployment of A-SMGCS systems currently remain out of most small to medium size platforms’ reach because of prohibitive infrastructure costs. Due to the intrinsic attributes of current surveillance technologies and airport surface coverage constraints, airports are required to deploy complex and costly infrastructures involving multiple sensors of different kinds: ADS-B, MLAT, SMR. ENVISION is an ATM application-oriented research project, under the SESAR 2020 Programme “Enabling Aviation Infrastructure: CNS” topic which aims at making use of technical progress in CCTV cameras, LIDAR technology and image processing techniques, and at taking advantage of reduced equipment costs, to provide regional and local airports safe and affordable surface movements surveillance capabilities for ATC and A-CDM services. In a stepwise approach, in two airports, the consortium will evaluate and demonstrate the operational, technical and economic feasibility of implementing CCTV and LIDAR technology in complement of ADS-B on the airport surface in providing identification and positioning data in A-SMGCS. Additionally, the project will assess the benefits of using this technical solution to feed A-CDM (Airport Collaborative Decision Making) milestones and provide a surveillance display to airport stakeholders.

Keywords: a smgcs,ads b,cctv,lidar,surveillance data fusion,tower cwp,a cdm
Optimisation of Friction Stir Welding (FSW) and Laser Beam Welding (LBW) for assembly of structural aircraft parts (OASIS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Sweden,Romania,Belgium,Czechia,United Kingdom,United Kingdom
Call: Optimisation of Friction Stir Welding (FSW) and Laser Beam Welding (LBW) for assembly of structural aircraft parts (H2020-CS2-CFP06-2017-01, 2017)
Start date: 2018-02-01
End date: 2021-03-31
Duration (months): 38.0
Total project cost (EUR): 1399783.75
EU funding (EUR): 1399783.0
Participants: 7
Project status: CLOSED

Riveting is the defacto method for the assembly of aluminium aerostructures, with large commercial aircraft fuselages typically containing 100’000s of rivets. However, riveting is known as a time-consuming, expensive and weight-adding operation. From a design perspective, it also places holes and point loads in a cyclically pressurised structure, subject to long-term fatigue loading and corrosion. Thus is not an ideal solution for these types of structures. With developments in precision laser beam welding (LBW) and friction stir welding (FSW), it is now possible to fabricate “rivetless” aluminium aerostructures using welding processes. These new processes produce a lighter weight, distributed load path with the potential for enhanced strength and structural stiffness, ‘no holes’ and a smoother (more aerodynamic) surface. In addition to being more structurally efficient, the new processes are cheaper and reduce inspection & maintenance requirements. The OASIS project will establish and demonstrate the cost-effectiveness of manufacturing aluminium aircraft structures using the latest developments in LBW and FSW (with appropriate inspection to aerospace standards). The project is led by TWI, who are leaders in both LBW and FSW techniques. Together with 6 other European organisations, we will design, demonstrate and evaluate the suitability of a range of process variants in creating optimised aluminium aircraft structures, including appropriateness for emerging alloys (e.g. 3rd generation Al-Li, 2nd gen Scalmalloy®). ESAB who will offer a commercial route for adoption of suitable processes; as suppliers of both LBW and FSW solutions to the European aerospace supply-chain (and who hold unique FSW IP). The impact of OASIS will ultimately allow improved design and manufacture of lighter-weight aluminium aircraft structures. This will contribute to the flightpath 2050 goals of reduced fuel burn, superior operating efficiencies and reduced emissions.

Keywords: friction stir welding,laser beam welding,aerospace,fuselage,manufacturing
Mechanistic analysis of DNA damage signaling and bypass upon replication of damaged DNA template in human cells. (DNAcheck)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-10-01
End date: 2020-09-30
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

The genetic information encoded by DNA is under constant attack from both endogenous and exogenous sources of damage. To ensure genome stability and prevent disease, cells use global signaling networks to sense and repair DNA damage. One particularly serious problem is when the replication machinery encounters lesions remaining in the template DNA. In this scenario, cells employ damage bypass mechanisms to complete genome replication and prevent fork breakage. Importantly, these pathways are not restricted to the site of stalling but can also function behind the fork at single-stranded DNA (ssDNA) gaps originated by the re-priming of DNA synthesis downstream of lesions. While it is very well known that ssDNA is the molecular signal that triggers the checkpoint response, it is less clear how and where ssDNA actually arises. Generally, it is assumed to accumulate at stalled replication forks, either by an uncoupling between replicative helicase and polymerase movement or between leading and lagging strand synthesis. However, in a recent study in budding yeast, I found that ssDNA gaps left behind replication forks, and extended by processing factors such as the exonuclease EXO1, constitute the predominant signal that leads to checkpoint activation in response to damaged DNA templates during S phase. Whether this mechanism of checkpoint activation is conserved from yeast to humans remains unexplored. Hence, using a unique set of multidisciplinary approaches, this project aims to address the fundamental question of how DNA damage is sensed during replication in human cells. Interestingly, not only ssDNA gap processing seems important for checkpoint signaling but also for the template switching mechanism of damage bypass. Therefore, this project will also study the function of EXO1 and its association with PCNA at postreplicative ssDNA gaps in order to shed light on the poorly understood mechanism of template switching.

Keywords: dna replication,dna repair,checkpoint activation,dna damage signaling,dna damage bypass
Soft Computing and Computer Vision for Comparative Radiography in Forensic Identification (SKELETON-ID)

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: Information Science and Engineering
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-04-01
End date: 2020-05-05
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

There is an urgent need of providing forensic practitioners with accurate, robust, unbiased and automate identification systems. This fact makes more sense in the field of forensic anthropology due to the poor technological development, the increasing number of mass disasters, and the unapproachable and shameful number of unidentified people in the EU. SKELETON-ID is intended to fill this technological gap by proposing a novel computer-aided automatic paradigm, which will be implemented and validated through the development of clavicle and frontal sinus identification systems. The challenging proposal is feasible thanks to the ER (Dr. Mesejo) and supervisor (Dr. Cordón) profiles, the facilities and excellence of the hosting institution (ranked 250th overall and 45th in Engineering in the Shangai Ranking 2016), and the strong background of the involved partners. The ER obtained his PhD within a Marie Curie ITN and he has developed his research career in four different Universities in EU, one Hospital (Spain), and two research centers (INRIA, CNRS). He has become an expert in computer vision and machine learning, with practical experience in biomedical imaging. In turn, Dr. Cordón got the Spanish National Computer Science Award (2014) and some other international awards, is included in the 1% of most cited researchers in the World, and leads a multidisciplinary group participating in four European research projects. The multi-disciplinary know-how of the well-known team experts in different fields (from forensic radiology and disaster victim identification to image registration and fuzzy systems), and the equipment and facilities of the beneficiary (UGR-SOCCER), forensic partner (UGR-PAL), and supporting institution (FASE) compose a unique environment to accomplish these ambitious and breakthrough objectives. Finally, the project clearly pursues the technological transfer, which will be carried on in collaboration with the young SME PANACEA.

Keywords: physical anthropology,forensic anthropology,forensic radiology,forensic identification,skeleton based identification
AcidLess Separation 2.0 (ALS2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-07-01
End date: 2020-10-31
Duration (months): 28.0
Total project cost (EUR): 1875250.0
EU funding (EUR): 1312675.0
Participants: 1
Project status: CLOSED

The ALS2.0 project will develop an innovative chemical-less separation technology for the refining of gold and other precious metals. The final goal of the project is to eliminate the obsolete chemicals and electrochemical processes used in gold prerefining since 1883. The original AcidLess Separation technology developed by IKOI (currently at TRL6) permits to obtain an effective separation of gold from precious metals alloys without using any chemicals. The separation of precious metals from an alloy is permitted thanks to the differential evaporation and condensation of metals in nearly vacuum conditions. The raw materials are heated via an electrical inducted crucible while the components separation is permitted by a special filter. Behind the absence of chemicals, this technology permits a very fine control of the process parameters that can be managed via a digital interface. This introduces a 100% chemical free precious metals pre-refining process in a market worth hundred billions of euro. The application of ALS at large-scale is therefore expected to bring several impacts on the entire precious metals value chain thus reducing the capital investment, operative costs and also lowering the environmental impacts of refining. Further, the low-cost viability of AcidLess separation equipment will foster the development of a circular supply chain with a more efficient recyclability of precious metals from waste materials and allowing SMEs to access this market. ALS technology is also suitable of further implementations. Scope of the projects is exactly to implement a 2.0 version of the AcidLess separation concept. The aims are to introduce advanced automation functionalities, permit a more effective separation of metals and improve the process parameters for the recovery of precious metals from electronic waste alloys (WEEEs) or other valuable metals like Platinum Group Metals (PGMs) considered as critical raw materials.

Keywords: precious metals refining,critical raw materials,circular economy,supply chain,gold,silver,platinum,weees,metal recovery,metal separation,metallurgy
EMULATION OF RADIO ACCESS TECHNOLOGIES FOR RAILWAY COMMUNICATIONS (EMULRADIO4RAIL)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Research and Innovation actions
Partnership: Shift2Rail (Art-187)
Countries involved: Spain,Germany,Spain,Italy,France,France,Denmark
Call: Communication environment assessment and validation (H2020-S2RJU-OC-2018, 2018)
Start date: 2018-12-01
End date: 2020-12-31
Duration (months): 25.0
Total project cost (EUR): 748097.5
EU funding (EUR): 748097.5
Participants: 8
Project status: CLOSED

EMULRADIO4RAIL will provide an innovative platform for tests and validation of various radio access technologies (Wi-Fi, GSM-R, LTE, LTE-A, 5G and satellites) that combines very new approaches for testing so called System in the loop (SITL) and Hardware in the loop (HITL). The adaptable communication prototypes will be coupled to both simulations of the communication core network and emulation of various radio access technologies thanks to the coupling between discrete event simulator such as RIVERBED modeler (former OPNET modeler), Open Air Interface, various radio channel emulators, Network emulator, models of IP parameters and real physical systems. The radio access emulation tool will offer a graphical based interface for the users. EMULRADIO4RAIL platform will work at IP level i.e. the radio access emulator will reproduce the radio access behaviour as seen by the applications. EMULRADIO4RAIL will investigate the various communication and environment scenarios in railways covering degraded modes, outages, network overload scenarios, interferences and other perturbations which occur in the railway environment or can be expected in the future. Particular focus will be proposed on interferences, taking into account also intentional ones. EMULRADIO4RAIL will analyse and select the communications characteristics perceivable by the applications and services using the communication bearer (like throughput, packet loss, jitter, etc.). EMULRADIO4RAIL will assess the communication capabilities of existing radio access networks and how they could be emulated. EMULRADIO4RAIL will provide support to Shift2Rail members for integration of the radio access emulation platform in the verification labs. EMULRADIO4RAIL is driven by a consortium composed of the main research and development actors in wireless telecommunications for rail involved in current and recent state-of-the art projects concerning the technologies, methodologies and equipment that should be considered.

Keywords: adaptable radio technologies,radio channel emulation,ip parameters,railway environments,interferences,discrete event simulation,sitl,hitl,open air interface,communication assessment
Fully Scalable Platform for Neuroscience Consumer Research and Product Development, Based on User-Friendly EEG-Headset and Cloud-Based Data Storage/Analysis. (MANTICA)

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: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

85% of new products fail right after launch because of lack of reliable data on consumer preferences. It is especially critical in Food & Beverage industry because of the strong competition and complex customer segmentation. During product development cycle, testing phase takes the most time and cost, requiring a lot of iterations and using surveys (what people say is not necessarily what they think) and statistical data (inaccurate results). Main challenges are: - Reduce mistakes in product development (development costs) - Reduce testing time to reduce TTM (Time to Market) - Increase accuracy of results and the amount of available information for decision making on product development MANTICA is the first tool to apply neuroscience to testing phase in product and service development to provide emotional response, approach/avoidance and actual cognitive processes in real time, during the experience. It is composed of 3 components: - Seamless electroencephalograph (EEG) headset (wireless) - Operating software (Basic Signal Processing, Proprietary Metrics Library and AI/Machine Learning algorithms) - Cloud infrastructure for data storage and analysis, to produce smart reporting and data visualisation We have also developed a Self-Evaluation Kit (SEK): all components in a standard, ready-to-go version for quick deployments Benefits for users are: - 30% less cost than traditional (focus groups, A/B tests) - 50% less product development time - +25% chances of success upon launching a new product (80% less mistakes) - Predictive analysis on product success - Accurate information based on real perception of the product For Thimus, we expect these impacts: - Business industrialisation (Self Evaluation Kit production, SEK) - Develop worldwide distributor network - +35-70% increase in IP assets on neuroscience and market research

Keywords: marketing,neuroscience,time to market ttm,food and beverage,cognitive processes,real time,electroencephalograph,software,cloud