Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Justice, Morality, and the State in Amazonia (JUSTAM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2022-12-31
Duration (months): 69.0
Total project cost (EUR): 1483992.0
EU funding (EUR): 1483992.0
Participants: 1
Project status: SIGNED

The project will investigate the social, cultural and cognitive bases of justice, or the morally correct assignment of goods and evils, with a focus on the indigenous peoples of Western Amazonia. It will develop an analysis of issues ranging from emotions, fairness, entitlement and equality in contexts of resource distribution, to punishment, vengeance, and attributions of responsibility. This will enlarge our understanding of how and why patterns of moral judgement vary across cultures, with particular attention paid to the role played by cultural constructions of personhood. The current situation of rapid social change in Amazonia, driven largely by the increased presence of the state in everyday life, provides a unique opportunity for assessing how morality and ethics are shaped by social conditions such as the size of networks of cooperation, processes for generating consensus, and the management of conflicts and disputes. This will be used to address longstanding questions concerning the evolution of morality, including how fairness is linked to cooperation within ever larger groups. The innovative methodology, combining ethnography with experiments and games adapted from psychology, economics, and experimental philosophy, will allow for a vastly more comprehensive set of data on justice in action than has previously been achieved. This will permit the elaboration of a sophisticated and distinctively Amazonian theory of justice, grounded in emotional responsiveness to others and respect for personal autonomy, that is capable of entering into critical dialogue with mainstream Western theories and understandings, while also challenging a number of dominant stereotypes of small-scale, non-state societies. The results will further be used to formulate a general framework for development projects and policy interventions with indigenous peoples, which could drastically improve their success rate and potentially be adapted for use in a range of global contexts.

Keywords: justice,experimental philosophy,social psychology
Enhancing the innovation management capacities of SMEs in East Poland 2019 (KAM2EastPoland2019)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Poland,Poland,Poland,Poland
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 36500.0
EU funding (EUR): 36500.0
Participants: 6
Project status: CLOSED

The main objective of the project is to facilitate the access to European and international markets by providing growthoriented, integrated business and innovation support services that will help to strengthen the competitiveness and sustainability of the enterprises in the EU countries. The proposal also focuses on strengthening the collaboration between different key actors in the innovation chain. Main objective of the project will be implemented by specific objectives: 1. Economic potential increase among enterprises benefiting from SME Instrument in the framework of Horizon 2020 by ensuring that the SME Instrument beneficiaries will receive the most appropriate services to enhance the probability of successful exploitation of the innovation project supported by the Instrument and to leave a footprint for the future sustainable growth of the beneficiary by identifying bottlenecks and indicated solutions with the help of a capable coach. This objective will be implemented by the tailor made service of The Key Account Management (KAM) in the framework of WP1. 2. Increase of innovation potential of small and medium sized enterprises by providing hider quality innovation support services. This objective will be implemented by specially designed activity: Enhancing the innovation management capacity of SMEs (EIMC) in the framework of WP2 of this project and will be addressed to SMEs with a real potential for international growth via product, process, service or business model innovation but lack the knowledge, skills or ability to manage innovation activities. The main goal of the service is to make the innovation system, in the company, more efficient and effective. Specific objectives will be implemented by five Partners of Enterprise Europe Network East Poland Consortium. All Partners have relevant staff members with skills, knowledge and experience to provide specialised services. Project duration is foreseen for 12 months.

Keywords: innovation management,capacity building,innovation expert,een services,sme instrument,h2020,eimc
Secretoneurin (SN): the first blood biomarker to accurately stratify mortality risk in patients with cardiac arrhythmia (SN-marker)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-10-01
End date: 2020-02-29
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Cardiovascular disease (CVD) is the no. 1 killer worldwide. At least half of CVD deaths is caused by ventricular arrhythmias that lead to sudden cardiac death (SCD). The diagnosis of arrhythmias is difficult but crucial for accurate decision-making and patient survival, being more frequent and carrying greater risk in heart failure (HF) patients. When managing HF patients, cardiologists currently prescribe an ECG (which may detect an arrhythmia) and an echocardiogram to measure the blood ejection from the left ventricle (LVEF), since there is a correlation between LVEF and risk of ventricular arrhythmias. If LVEF is < 35%, the patient is eligible for implantable cardioverter-defibrillator (ICD) surgery, which costs at least 20K€. Still, around 51 % of victims of SCD have normal LVEF. In addition, 67% of all implemented ICDs are never activated because those patients were (unknowingly) at low-risk for arrhythmias, which represents a 1.34 B€ overtreatment cost/year in the EU alone. Cardiologists urgently need an accurate biomarker that helps to better stratify patients’ risk for life-threatening arrhythmia. Existing cardiac biomarkers do not provide that info, keeping under or overtreatment. CardiNor has IPR rights and is bringing to market a new in vitro diagnostic (IVD) test to measure blood levels of Secretoneurin (SN), a new biomarker that provides unmatched insight into the mechanisms of arrhythmia, with a prognostic capacity to accurately stratify the patients into risk categories. With SN data, cardiologists will be able to rightly pinpoint high-risk patients and select those patients to ICD surgery. For every 10% of ICD-eligible patients that are diverted from surgery more than 134M€ are saved every year. First sales will be in 2020 as an ELISA kit and over time added to other IVD platforms to increase exploitation potential. CardiNor and its value chain partners have been working together on the SN assay for 24+ months, having reached TRL6 in Q3 2018.

Keywords: secretoneurin,secretogranin,ventricular arrythmia,in vitro diagnostics,elisa,risk,stratification,icd selection,cost savings
Exascale Compound Activity Prediction Engine (ExCAPE)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Austria,Spain,Finland,Belgium,Belgium,Sweden,Bulgaria,Belgium,Czechia,United Kingdom
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-09-01
End date: 2018-08-31
Duration (months): 36.0
Total project cost (EUR): 3910140.0
EU funding (EUR): 3910140.0
Participants: 10
Project status: CLOSED

Scalable machine learning of complex models on extreme data will be an important industrial application of exascale computers. In this project, we take the example of predicting compound bioactivity for the pharmaceutical industry, an important sector for Europe for employment, income, and solving the problems of an ageing society. Small scale approaches to machine learning have already been trialed and show great promise to reduce empirical testing costs by acting as a virtual screen to filter out tests unlikely to work. However, it is not yet possible to use all available data to make the best possible models, as algorithms (and their implementations) capable of learning the best models do not scale to such sizes and heterogeneity of input data. There are also further challenges including imbalanced data, confidence estimation, data standards model quality and feature diversity. The ExCAPE project aims to solve these problems by producing state of the art scalable algorithms and implementations thereof suitable for running on future Exascale machines. These approaches will scale programs for complex pharmaceutical workloads to input data sets at industry scale. The programs will be targeted at exascale platforms by using a mix of HPC programming techniques, advanced platform simulation for tuning and and suitable accelerators.

Keywords: exascale,high performance computing,algorithms,machine learning,scalability,accelerators,confidence levels,compound activity prediction,chemogenomics,quantitative structural activity r
EEN Serbia (specific grant agreement): Improving competitiveness of Serbian SMEs trough implementation of integrated services focused on innovative capacities, productivity and internationalization. (EEN Serbia SGA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Serbia,Serbia,Serbia
Call: INNOVATION-02 for SGA EEN (H2020-EEN-SGA-2015-01-1, 2015)
Start date: 2016-01-01
End date: 2016-12-31
Duration (months): 12.0
Total project cost (EUR): 21999.98
EU funding (EUR): 21999.98
Participants: 6
Project status: CLOSED

EEN Serbia project is successor to EIIRCS and in its course, Consortium partners would continue to provide the highest quality business support services to Serbian SMEs. EEN Serbia is strategically recognized by the Government of Republic Serbia, as an integrated service for development of SMEs sector. The main objective of EEN Serbia is to continue improving competitiveness of Serbian SMEs trough implementation of integrated services focused on innovative capacities, productivity, internationalization as well as to assure information flow about EU market, measures and programs, available EU and national RTD support programs. EEN Serbia Consortium is consisted of 6 relevant, motivated and experienced host organizations with a clear mandate to support competitiveness of SMEs, regional and socioeconomic development, internationalization and export promotion as well as R&D and innovation. Consortium partners cover the whole territory of Serbia, and create the most comprehensive system for providing support services to SMEs, with widest and strongest knowledge, expertise and information base.

Keywords: entrepreneurship,expertise,cooperation,competitiveness,sme support services,cooperation between businesses and scientific institutions
ROCHI - RObotics Coverage Hiring Innovation (ROCHI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Italy
Call: European SME innovation Associate - pilot (H2020-INNOSUP-02-2016, 2016)
Start date: 2017-09-29
End date: 2018-09-28
Duration (months): 12.0
Total project cost (EUR): 115625.0
EU funding (EUR): 115625.0
Participants: 1
Project status: CLOSED

Inspection robots are more and more frequently used in industry for quality control of parts with complex shape. The main concept is to move a sensor over the surface of the part so that all relevant areas are inspected. The problem, known as coverage planning, requires generic solutions for key challenges like collision avoidance, motion planning and calibration and synchronization of robot motion and real-time measurement data acquisition. The deployment of such inspection robots is currently done manually or with semi-automatic motion-planning/calibration technologies. These inspection processes have been proved to be difficult, time-consuming and – consequently – expensive. IT+Robotics objective is to develop a generic framework that solves the coverage and path planning problem for inspection tasks with constraints like: inspecting sensor needs to move continuously over the part, the part is handled by limited multi-axis handling system (e.g. 6 axes or Cartesian robot). Robotic inspection systems are needed (1) wherever parts of complex shape need to be inspected, mainly in aerospace and automotive industry; (2) wherever a flexible and easy to use solution needs to deal with small batches of products with different shapes (particularly for SMEs). Moreover, the product can reach all the markets related to those industrial processes that need the full coverage of the product. The results will be also applied to other industrial processes requiring full coverage of the product, such as paint or shot peening robots. Since there is a huge potential in both robotics inspection and application, IT+Robotics would like to recruit an Innovation Associate with two objectives. The former is support the development of a generic framework for ITR products related to full coverage applications. The latter is to improve the continuous innovation process inside the company.

Keywords: robotics quality inspection
Pandemic Preparedness and Response (PANDEM-2)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Increase Europe's resilience to crises and disasters
Action type: Innovation actions
Countries involved: Austria,Italy,Germany,Germany,Italy,Ireland,Ireland,Ireland,Belgium,Romania,Finland,Sweden,France,Netherlands,Netherlands,Portugal,United Kingdom,United Kingdom
Call: Demonstration of novel concepts for the management of pandemic crises (H2020-SU-SEC-2019, 2019)
Start date: 2021-02-01
End date: 2023-07-31
Duration (months): 30.0
Total project cost (EUR): 9746061.62
EU funding (EUR): 8705650.0
Participants: 23
Project status: SIGNED

PANDEM-2 implements and demonstrates the most important novel concepts and IT systems to improve the capacity of European pandemic planning and response. Following the PANDEM project (with the same coordinator and many shared partners) and extensive subsequent stakeholder engagement, research and prioritisation, PANDEM-2 meets the real-world needs of public health agencies responsible for pandemics (‘pandemic managers’) and first responders across Europe. PANDEM-2 will enable and demonstrate the capture and integration of pandemic-relevant data from international systems (Go.Data outputs, EWRS, TESSy, etc.), participative surveillance (Influenzanet, Studybugs, etc.), fron laboratory (next generation sequencing) systems and from social media (Twitter, Reddit). This data will be accessible and can be analysed via an online dashboard, designed and built to support the specific needs of pandemic managers. Additional high-priority tools for pandemic spread prediction, visual analytics and resources management, including workforce capacity mapping, will improve preparedness and planning, and enable pandemic managers to be as well positioned as possible for a pandemic when it comes. In order to test the system, while also networking and building relationships across borders and organisations, pandemic managers and first responders from multiple Member States will work together in EU-wise demonstrations, planning and responding to several pandemic scenarios, from Ebola to SARS/MERS CoV, to pandemic influenza. Pandemic communications, highlighted as a key capability gap, will be addressed by resource creation, training and evaluation.

Keywords: pandemics,information technology,surveillance,response,planning,simulation,communication,demonstration,stakeholders,responders
Modular fluidic platform with Shape Memory Alloy miniature valves to disrupt medical technology industry (memetis) (memetis)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

memetis is an award-winning innovative SME, spin-off from Institute of Microstructure Technology (IMT) / Karlsruhe Institute of Technology (KIT) that designs modular fluidic platforms using Shape Memory Alloy (SMA) miniature valves for user specific needs. It enables the realization of unprecedented fluidic platforms in terms of outer dimensions, functionality, integration density and power consumption. Uses of the technology range from laboratory based tools to commercial applications like medical diagnostics. Processes which are normally carried out in a lab can be miniaturized on a single chip and performed at the Point of Care/ Point of Need to enhance analysis, diagnostic efficiency and speed while reducing sample and reagent volumes. At the intersection of engineering, physics, chemistry, information technology, and biotechnology, memetis can revolutionize the way patients are diagnosed, monitored and treated. This solution has high disruptive potential and can be implemented across Europe and beyond to reach a large worldwide market. Prototypes of various SMA miniature valves are already available. In the past year several pilot customers acquired paid developments and application-specific projects were transferred to series production (30,000 – 50,000 pieces). Currently, incoming 2018 orders are of low 6-digits providing a solid basis to achieve this year's turnover objective. Our traction has already been substantial. Besides the EXIST Research Transfer Phase I grant, we have attracted equity investments and we have received the following awards: 1st place KIT Venture Fest Gründerpitch (Aug 2016), 1st place Elevator Pitch Baden-Württemberg (Jun 2017), Winner WECONOMY (Jun 2017), Init Innovation Prize Cyber Champions Award (Aug 2017), 2nd place CyberOne Hightech Award (Oct 2017) & 4th place at VC Pitch BW (Feb 2018). Further, we have qualified for the 2nd round of the CoHMed Connected Health application process.

Keywords: modular fluidic platform,miniature valves,medical diagnostics,point of care diagnostics,point of need,analytics,lab on chip,disruptive potential,miniaturization,ease of use
Landscape genomic prediction of plant-pathogen interactions (PathoGenoPredict)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2024-02-29
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: SIGNED

Plants and their pathogens are locked in an ongoing coevolutionary battle, with outcomes affecting food and environmental security. Pathogenesis can occur when a host's resistance and pathogen's virulence genotypes are compatible with infection, while incompatible genotypes lead to resistance. A myriad of studies of molecular plant-pathogen interactions have probed the precise combinations of host (R) and pathogen (Avr) genes that lead to susceptibility or resistance. While laboratory trials are valuable, they cannot directly predict when and where pathogenesis will occur in natural or agricultural plant populations, as environmental factors also play a role. In this fellowship, I will build predictions of plant pathogenesis that account for spatiotemporal variation in both host and pathogen genetics over the landscape and through time. I will investigate the model system of Hyaloperonospora arabidopsidis (Hpa; an oomycete) and Arabidopsis thaliana (Ath; a plant). Existing work in this system has identified the molecular mechanisms underlying multiple disease resistance phenotypes. I propose to extend this work by evaluating the genetic interaction of Hpa and Ath across the landscape. Specifically, I aim to 1) Determine the spatial distribution of genetic diversity across the landscape in both Ath and Hpa, investigating both neutral genome-wide patterns and R/Avr gene loci. 2) Model genetic variation in R/Avr genes across the landscape, producing maps both for today’s climate, and under predicted future climate change. 3) Predict how genetics interacts with a variable environment, including a changing climate, to produce disease, including future changes in the coevolutionary balance between plant and pathogen due to climate-induced range shifts. These aims facilitate the projection of molecular plant-pathogen interactions onto the landscape, and provide a framework to examine the molecular mechanisms underlying ecological interaction of plants and their pathogens.

Keywords: phytopathology,plant pathogen,arabidopsis,natural variation,landscape genomics,landscape genomic prediction
Provision of innovative support services to Armenian SMEs which potential for growth and innovation development. (H2020 Armenia)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Armenia
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 27022.5
EU funding (EUR): 27022.5
Participants: 2
Project status: CLOSED

The overall objective of the EEN Armenia H2020 Project is to increase the innovation management capacity of the innovative SMEs with potential of growth and internationalization by provision of innovation support services established within EEN Armenia.

Keywords: h2020,innovation,internationalization,growth,science,innovation management,eimc