Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Biological Impact of Oil Pollution in Arctic and Deep-sea Environment (BIOPADE)

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: Environment and Geosciences
Countries involved: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 196400.4
EU funding (EUR): 196400.4
Participants: 1
Project status: CLOSED

The increase demand of oil, associated with the depletion of easily exploitable oil deposits is leading the oil industry to intensify the search for new oil areas and exploit deposits previously considered as economically unprofitable. These new oil research areas are mostly located in Arctic waters and in the "offshore" areas in deep waters. However, very few studies have investigated the biological impacts of oil contamination in these very specific areas. Practically, the research actions will estimate the potential synergistic effect of oil, warming and hypoxia on a key Arctic species, polar cod Boreogadus saida (Work package 1, WP1).The project will then will focus on the impacts of the soluble fraction of oil on the metabolism of deep benthic species, in particular Lophelia pertusa and Eurythenes gryllus (WP 2). WP3 will consist of an applied study in order to validate two experimental set-ups which could make possible the assessment of the impact of oil in deep-sea environments. Finally, WP4 will be devoted to provide recommendations to perform a relevant NEBA in Arctic and deep-sea areas. The complementarities between the applicant and the supervisors profiles, associated with partner organizations skills ensure the realization of this innovative project and the dissemination and exploitation of the different results.

Keywords: oil pollution,arctic,deep sea,biological impact
Livestock integrated management system (STEPLA PLUS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 1043745.0
EU funding (EUR): 730621.5
Participants: 1
Project status: CLOSED

STEPLA, https://youtu.be/5NcgzfTEGqE, http://www.stepla.es/en_index.html, developed by the Spanish SME MISC International (SensoWave) is the first ICT service platform for extensive breeding farms full management that offers location, monitoring, and traceability capabilities to locate livestock individuals in real time. STEPLA monitors in real time their condition detecting anomalies and facilitating farm management, including meat traceability and environmental impact of livestock farming activites. STEPLA integrates stakeholders such as veterinarians, suppliers, insurance companies, regulatory authorities, consumers, and every elements within the distribution chain. After being incubated by the SmartAgrifFood acceleration programme http://smartagrifood.com, and finalizing pilots in several farms in Spain, STEPLA reached their first selling agreement for the cow (beef) sector in 2015. With SMEInst-2 project STEPLA+, SensoWave envisages to carry out the needed adaptations to cover other livestock, targeting pigs, sheep and goats, and horses, and to include new functionalities (temperature sensors, more complex bigdata based algorithms, etc.), in order to increase STEPLA+ market penetration becoming the main solution for European livestock farmers in the coming years. STEPLA+ will reach commercialisation step in 2018-19, resulting in a 4-year ROI of 309% for SensoWave, and generating 204 new jobs, plus positively impacting the European livestock farming sector (also by increasing exports) and the European citizens welfare.

Keywords: livestock,beef,sheep,goat,horse,monitoring,extensive livestock management,farmers,innovative
Innovation Support Network East Mediterranean (InnoSuppEastMed)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Türkiye,Türkiye,Türkiye,Türkiye
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 18125.0
EU funding (EUR): 18125.0
Participants: 5
Project status: CLOSED

Aim of the project is to become a true one-stop-shop for business and innovation support along the entire value chain, providing its services in the proposed region the context of COSME and HORIZON 2020 Programme and in line with the Europe 2020 strategy. innovation support services will help strengthen the competitiveness and sustainability of regional enterprises. Proposed project will include two acitivity type which are “Key account management under the SME Instrument of Horizon 2020” and “Services to enhance the innovation management capacities of SMEs”

Keywords: innovation support,key account management,sme instrument
Using patient-derived human induced pluripotent stem cells (hiPSCs) to interrogate disease mechanisms and treatment in spinocerebellar ataxias (PEDIATAX)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2023-04-30
Duration (months): 18.0
Total project cost (EUR): 168700.32
EU funding (EUR): 168700.32
Participants: 1
Project status: SIGNED

The proposed Fellowship unites a recently established patient cohort from Northern Finland with the extensive expertise of the host laboratory in investigating cerebellar disease to study spinocerebellar ataxias (SCAs), a heterogeneous group of incurable brain diseases defined by ataxia, or a loss of motor coordination. To date, genome wide analysis studies have associated >40 genes with driving SCAs. The vast clinical and genetic heterogeneity of the SCAs poses a significant challenge and as a result, no treatments are available for patients with SCA. Therefore, the need for novel treatment options or, at the minimum, suitable disease models, is urgent. The Fellowship aims to create disease-relevant cellular models of a subgroup of SCA using human induced pluripotent stem cells (hiPSC). These hiPSC lines have been derived from patients diagnosed with one of four SCAs (types 14, 29, 41 or 44), which are genetically distinct but may share common molecular disease mechanisms involving the mGluR1/IP3R1/TRPC3 signalling pathway. The project focuses on the IP3R1 receptor which regulates the development of Purkinje cells (PCs), the sole output neurons of the cerebellar cortex, and represents a convergent point in the pathomechanism of several ataxia disorders. To identify key disease mechanisms in this subgroup of SCAs, the hiPSCs will be differentiated into monolayer PCs and cutting-edge cerebellar organoids, which more fully recapitulate the cellular organisation of the cerebellum. The disease phenotypes will then be characterised using a combination of methods in biochemistry, molecular biology, visualisation and transcriptomics. Finally, we will adapt the differentiation protocol to a 96-well format to enable high-throughput drug screening. Ultimately, the proposed Fellowship aims to be the first study in Europe to use cutting-edge hiPSC differentiation protocols to interrogate disease mechanisms in SCA and set the stage for the discovery of novel therapeutic options.

Keywords: cerebellum,spinocerebellar ataxia,neurodegenerative disease,induced pluripotent stem cells
Dynamic longitudinal exposome trajectories in cardiovascular and metabolic non-communicable diseases (LONGITOOLS)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Preventing disease
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Italy,Italy,Norway,Finland,Sweden,Finland,France,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: The Human Exposome Project: a toolbox for assessing and addressing the impact of environment on health (H2020-SC1-2019-Single-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 11997448.75
EU funding (EUR): 11997448.75
Participants: 18
Project status: SIGNED

Environmental factors, including air and noise pollution, and the built environment, are typically associated with cardiovascular and metabolic non-communicable diseases (NCDs), e.g. obesity, type 2 diabetes, heart diseases and atherosclerosis. The extent to which these exposures may cause their attributed health effects (via molecular mediation) directly or indirectly as a result of associations to an individual’s psychosocial context is largely unknown. NCDs arise from a lifelong process influencing anthropometric, glycaemic, cardiac and lipid-related health trajectories. Risks may start as early as during the fetal period and are modified during sensitive periods in childhood, adolescence and adulthood. Despite this, research has not focused enough on the life-course characterisation of the exposome and the application of this to health and disease. In 5 years, LONGITOOLS, a partnership of 15 academic groups and 3 small companies will harness a catalogue of birth cohorts, longitudinal data, registers and biobanks. We will characterise coincident longitudinal trajectories of exposure and cardiometabolic health combining the study of longitudinal effects and internal responses. The latter will include measures of DNA methylation, RNA expression and read outs of metabolic pathways. LONGITOOLS will implement this longitudinal approach in 11 work packages designed to generate a catalogue of FAIR data and a novel analytical toolbox. Evidence-based life-course causal models will estimate how clinical and policy interventions may sustainably affect the health and economic burden of NCDs. A key objective will be to generate evidence-based predictions which can ultimately translate into innovative healthcare applications (apps) and policy options. LONGITOOLS will also allow researchers and policy makers to generate new knowledge - identifying the likely causal (direct and indirect) mechanisms through which exposures to man-made environmental factors affect the risk of NCDs. LONGITOOLS is one of the nine projects composing the European Human Exposome Network.

Keywords: life course,cardiometabolic health trajectory,fair toolbox,longitudinal models,healthcare applications
Measurement and Architecture for a Middleboxed Internet (MAMI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Switzerland,Belgium,Norway,United Kingdom,United Kingdom
Call: Integrating experiments and facilities in FIRE+ (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 2901500.0
EU funding (EUR): 1629125.0
Participants: 8
Project status: CLOSED

Recent revelations about large-scale pervasive surveillance of Internet traffic have led to a rapidly expanding deployment of encryption in order to protect end-user privacy. At the same time, network operators and access providers rely on increasing use of in-network functionality provided by middleboxes and network function virtualization (NFV) approaches to improve network operations and management, and to provide additional value for their customers. In addition, new applications such as interactive video make new demands on the transport layer, requiring the deployment of new protocols and extensions, the deployment of which is impaired by the proliferation of middleboxes that cause them to fail. These three trends are on a collision course. The MAMI project seeks to restore balance among end-user privacy concerns in the face of pervasive surveillance, innovation in network protocols in the face of increasing ossification, and the provision of in-network functionality in a cooperative way. We aim to do this through the development and experimental deployment of a middlebox cooperation protocol (MCP) embedded in a more flexible transport layer, to be used together with ubiquitously deployed encryption. To ensure the applicability of the protocol, we will develop it on a background of middlebox behaviour models, derived from large-scale measurements of middleboxes in the public Internet conducted on top of a FIRE+ testbed. We will then evaluate the fitness of our proposed MCP to purpose by evaluating its applicability to a set of real-world use cases for transport layer evolution, focusing on incremental deployability in the presence of both cooperative and uncooperative middleboxes by experimentation in the Internet utilising the facilities provided by FIRE+ testbeds.

Keywords: internet middlebox measurements,middlebox observatory,middlebox classification,middlebox copperation,internet architecture
Innovative DePaLletiser for the automated feeding of signatures in the bookbinding industry (D-PAL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Spain
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-07-01
End date: 2018-09-30
Duration (months): 15.0
Total project cost (EUR): 937023.75
EU funding (EUR): 655916.0
Participants: 1
Project status: CLOSED

The printing sector is a mature market with annual revenues of €694 billion worldwide and a relevant presence in Asia, Europe and USA which, however, needs to increase its competitiveness by reducing costs and improving margins. The book printing industry presents a key problem for the hardcover bookbinding, as part of the post-impression process (depalletisation of stacks of signatures to feed the bookbinding machine) has to be done manually. D-PAL is a high-performance & 100% automated depalletiser for the hardcover book post-printing process which accurately depalletises stacks of signatures of different types, sizes and thicknesses (65-215 mm.) for the automatic feeding of the bookbinding machine. D-PAL is the only machine in the market suitable to be integrated in every process chain with the current methods existing in the book printing industry. D-PAL will save 6,9% of the total printing costs for hardcover books and will increase the depalletising yield up to 367%, avoiding at the same time quality defects associated to manual works. Costs derived from H&S accidents will be reduced up to 30%. Moreover, the depalletising time will be reduced up to 68% and the machine can be amortized in 1,2 years. D-PAL is 41% less expensive than competitive solutions. D-PAL has been developed by LARGOIKO S.L.L, a Spanish Mechatronics Engineering enterprise that designs and carries out the automatization of industrial processes, special machines or under demand since 1999 in different sectors such as automotive, electronic devices, renewable energies or graphic arts.

Keywords: printing industry,book printing,bookbinding,hardcover bookbinding,depalletising,depalletiser,automated machine,robotization
Open-Digital-Industrial and Networking pilot lines using modular components for scalable production (ODIN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Spain,Spain,Italy,Italy,Spain,Germany,Spain,Finland,Sweden,Finland,Greece,France,Luxembourg
Call: Robotics in Application Areas and Coordination & Support (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 8524345.0
EU funding (EUR): 6991729.0
Participants: 16
Project status: SIGNED

The adoption of robots in lower volume, diverse environment is heavily constrained by the high integration and deployment complexity that overshadows the performance benefits of this technology. If robots are to become well accepted across the whole spectra of production industries, real evidence that they can operate in an open, modular and scalable way is needed. ODIN aspires to fill this gap by bringing technology from the latest ground breaking research in the fields of a) collaborating robots and human robot collaborative workplaces b) autonomous robotics and AI based task planning c) mobile robots and reconfigurable tooling, d) Digital Twins and Virtual Commissioning and e) Service Oriented Robotics Integration and Communication Architectures. To strengthen the EU production companies’ trust in utilizing advanced robotics, the vision of ODIN is: “to demonstrate that novel robot-based production systems are not only technically feasible, but also efficient and sustainable for immediate introduction at the shopfloor”. ODIN will achieve this vision through the implementation of Large Scale Pilots consisting of the following components: - Open Component (OC): A small footprint, small scale pilot instance allowing the development, integration and testing of cutting-edge technologies. - Digital Component (DC): A virtual instance of the pilot implementing an accurate Digital Twin representation that allows the commissioning, validation and control of the actual pilot - Industrial Component (IC): A full-scale instance of the pilot, integrating hardware (HW) and software (SW) modules from the Open and Digital components and operating under an actual production environment. - Networked Component (IC): An integration architecture with open interfaces allowing the communication of all robotics HW and control systems through safe and secure means. ODIN will demonstrate its result in 3 Large Scale Pilots in the automotive, white goods and aeronautic sectors.

Keywords: robotics digital platform,mobile robots,human robot collaboration,safety,human centered interaction,multi level perception for adaptability,dynamic digital world modelling
A MULTILEVEL ANALYSIS ON THE EFFECTS OF STRESS ON BIOLOGY, EMOTIONS AND BEHAVIOUR THROUGHOUT CHILDHOOD (LIFECOURSE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Iceland
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-07-01
End date: 2020-06-30
Duration (months): 60.0
Total project cost (EUR): 1999188.0
EU funding (EUR): 1999188.0
Participants: 1
Project status: CLOSED

The overall objective of the proposed research is to improve our understanding of the interplay between biological, environmental, and social factors that influence the development of harmful behaviours in adolescents. We propose to conduct the first multilevel cohort study of its kind that would combine biological, behavioural, and social data from before birth through adolescence for an entire population birth cohort of adolescents. The program is based in Iceland due to a unique infrastructure for the collection of health and social registry data as well as available access to a whole cohort of adolescents. We will extend our previous work using a multilevel developmental framework to identify both individual and collective level variables to study the independent and interactive effects of biological, environmental, and social determinants of adolescent harmful behaviours, with special emphasis on the influence of stress on substance use, self-inflicted harm, suicidal behaviour, and delinquency. Our retrospective longitudinal database will include existing registry information on maternal, child, and environmental determinants of adolescent harmful behaviours, measured prior to birth, at the time of birth, and during the infant, toddler, preschool, middle-childhood and early adolescent years, for the entire 2000 year birth cohort. We will prospectively measure biomarkers in human saliva and use an existing social survey infrastructure to add to the registry database. We have acquired all necessary ethical and organizational permissions and have carried out a preliminary study that shows registry data compliance of over 90% for all variables we intend to combine. This is a fundamental research project, examining unchartered territory. The results of this project will stimulate international research but more importantly, an understanding that will lead to better policies, planning and quality of life for young people in Europe and beyond.

Keywords: multilevel analysis,stress,adolescence,harmful behavior