Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Using Omics Techniques for Hydrocarbon Prospecting (PROSPECTOMICS)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Norway,Luxembourg
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2019)
Start date: 2021-01-01
End date: 2024-06-30
Duration (months): 42.0
Total project cost (EUR): 3954805.0
EU funding (EUR): 3341326.25
Participants: 6
Project status: SIGNED

The proposed PROSPECTOMICS project intends to develop a radically new approach to Hydrocarbon (HC) prospecting based on molecular biological techniques. PROSPECTOMICS is the first project that utilizes the full potential of recent advances in so-called next-generation sequencing (NGS) with respect to hydrocarbon prospecting. Only the very recent developments in sequencing technology and the massive reduction in cost allow such a project to be carried out at an informative scale, which would have been unthinkable less than 10 years ago. PROSPECTOMICS brings together vastly different fields (Biogeochemistry, Metagenomics, Metatranscriptomics, Metaproteomics, Bioinformatics, Machine Learning) and uses their individual strengths to complement each other in order to develop a completely novel approach that has the potential to challenge current technical paradigms. The PROSPECTOMICS consortium consists of six groups from four countries, each an expert for one specific technology. Partnership with a petroleum exploration company guarantees a direct connection to real world conditions and uniquely offers the opportunities to immediately to field-test the hypotheses generated. Despite ongoing efforts to increase the percentage of renewable energy resources, HC will remain an important energy source for several decades. One of the key factors to reach EU’s ambitious goals in reduction of greenhouse gas emissions is the replacement of coal by other energy sources, mainly natural gas. Additionally, increasing global competition for resources and rising energy prices as well as price differentials between the European Union and its competitors requires energy which is sustainable, affordable and with a secure and reliable supply. Exploration for new resources within the EU are a key factor for reaching these goals. PROSPECTOMICS will help to meet these challenges by paving the way for completely novel approaches to HC prospecting.

Keywords: metagenomics,metaproteomics,bioinformatics,machine learning
Social Sentiment analysis financial IndeXes (SSIX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Content technologies and information management: ICT for digital content, cultural and creative industries
Action type: Innovation actions
Countries involved: Germany,Germany,Austria,Ireland,Italy,Finland,United Kingdom
Call: Big data and Open Data Innovation and take-up (H2020-ICT-2014-1, 2014)
Start date: 2015-03-01
End date: 2018-02-28
Duration (months): 36.0
Total project cost (EUR): 4259125.5
EU funding (EUR): 3315963.0
Participants: 8
Project status: CLOSED

Social Sentiment Indices powered by X-Scores (SSIX) aims to provide European SMEs with a collection of easy to interpret tools to analyse and understand social media users attitudes for any given subject; these sentiment characteristics can be exploited to help SMEs to operate more efficiently resulting in increased revenues. Social media data represents a collective barometer of thoughts and ideas touching every facet of society. SSIX will search and index conversations taking place on social network services, such as Twitter, StockTwits, and Facebook including the most reliable and authoritative Newswires, online newspapers, trade publications and blogs. SSIX will classify and score content using a framework of qualitative and quantitative parameters called X-Scores, regardless of language, locale or data architecture. The X-Scores framework will interpret economically significant sentiment signals in social media conversations producing sentiment metrics, such as momentum, awareness scope, topic density and historical comparison. These metrics will create commercially viable social sentiment indices, which can be tailored to any domain of interest. By enabling European SMEs to analyse and leverage social sentiment in their discipline, SSIX will facilitate the creation of innovative products and services by enhancing the investment decision making process, thus increasing revenue while also minimising risk.

Keywords: cross lingual sentiment mining,data mining,multilingual text analytics,market sentiment analysis,economic signals,social media analysis,social sentiment indices,financial news analytics
Modular Intelligent hyDRAULICS (MIDRAULICS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Italy
Call: Small business innovation research for Transport (H2020-SMEINST-1-2015, 2015)
Start date: 2016-02-01
End date: 2016-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The Company Hydronit, founded in 2003, develops its activity in the field of hydraulics, producing high quality energy efficient components for both fixed and mobile installations, where we focus in powering hydraulics. Hydronit has made significant achievements since its creation and is recognized as one of the most innovative players in its sector, continuously investing in RDI actions through different collaborations with the most prestigious research centres in Italy, and operating in 40+ countries with daughter companies in China, UK and (recently) in the US. Our passion for hydraulics power and our commitment with our customers let us reach €4M turnover in 2014, 80% of which coming from exports. Hydronit has always pursued a full new concept of hydraulics that joins modularization and the integration of all necessary pieces of knowledge, something that makes most hydraulic equipment manufacturers resort to multiple subcontracts to produce the final equipment, as hydraulics knowledge and electric/electronics knowledge are not usually found together in our sector. We intend to solve this specific problem offering equipment manufacturers MIDRAULICS, a full portfolio of modular intelligent mini/micro power packs comprising hydraulics, power distribution electronics, control feedback electronics, programmable local intelligence to autonomously manage the systems in the local module (state machine approach) and communication buses, protocols and API to ease the building of complex systems upon these modules (distributed state machine approach) and means to wirelessly configure, calibrate and update the behavior of our systems over the air through a secure wireless communication channel (secure NFC). MIDRAULICS is the starting point for us before deploying a complete portfolio of safety-driven modular and intelligent solutions for the mobile industry. Thanks to MIDRAULICS, we expect to create ~€10 Million sales within the first 5 years of business.

Keywords: hydraulics,electronics,power distribution,power packs,mobile industry
Innovating dialogue and problems appraisal for a safer Africa (SaferAfrica)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Countries involved: Italy,Switzerland,Belgium,Greece,Sweden,France,France,Netherlands,United Kingdom,Cameroon,Burkina Faso,Benin,Portugal
Call: Euro-African initiative on road safety and traffic management (H2020-MG-2016-SingleStage-RTD-MOVE, 2016)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 2998025.0
EU funding (EUR): 2844275.0
Participants: 17
Project status: CLOSED

SaferAfrica project aims at establishing a Dialogue Platform between Africa and Europe focused on road safety and traffic management issues. It will represent a high-level body with the main objective of providing recommendations to update the African Road Safety Action Plan and the African Road Safety Charter, as well as fostering the adoption of specific initiatives, properly funded. The involvement of Development Banks will ensure the identification of available resources and the definition of suitable schemes of funding. The activity of the Platform will also focus on the reinforcement of the endogenous African capabilities through the dissemination of the EU know-how. Twinning Programs will be set up, besides the conduction of different training activities. Local contexts will be duly taken into account and studies on specific risk factors as well as transferability analysis of measures already tested elsewhere will be conducted. The project activities will be oriented to the “Safe System” approach and grouped in four pillars: Road Safety Knowledge and Data; Road Safety and Traffic management Capacity Review; Capacity Building and Training; Sharing of Good Practices. The platform will work at two levels. A decision making level, run by a Management Board basing its actions on information provided and activities carried out by a technical level, with established Working Groups addressing specific topics. The Management Board will be constituted by prominent institutions like EC, the African Union Commission, Financial Institutions, Regional Economic Communities (UN). The technical level will involve government and research institutions, international and stakeholders organizations (e.g. NGOs), with a fair balance between African and EU partners, even for what concerns responsibilities (e.g. Euro-African work package co-leadership). The Dialogue Platform is intended to constitute a stable body, able to orient road safety policies beyond the project end.

Keywords: road safety and traffic management,dialogue eu africa,twinning,capacity reviews
Taking European EnergyManagers to next efficiency levels by implementing energy audit recommendations (EUREMnext)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Estonia,Austria,Austria,Albania,Spain,Germany,Serbia,Finland,Greece,Bosnia and Herzegovina,Türkiye,Latvia,Czechia,Czechia
Call: Increasing capacities for actual implementation of energy efficiency measures in industry and services (H2020-EE-2017-CSA-PPI, 2017)
Start date: 2018-03-01
End date: 2021-06-30
Duration (months): 40.0
Total project cost (EUR): 1809556.25
EU funding (EUR): 1809556.25
Participants: 15
Project status: CLOSED

OVERARCHING OBJECTIVE: Enriching the well-established EUREM European EnergyManager trainig program, making it available in new countries to allow more persons to become qualified/accredited experts or upgrade their knowledge and skills, and adding ancillary implementation support activities. Thereby contribute to increasing the quality of energy audit results, the probability of implementation of the recommendations, and ultimately the energy efficiency and competitiveness of the businesses. ACTIVITIES & OUTPUTS: 1) Enrich the training with: 4 new modules in e-learning format on mobility, Industry 4.0, energy audit standards and process, company energy culture, 1 enhanced module with stronger focus on financial topics, 1 new practice module working with the Energy Audit Support Tool to evaluate more complex measures in industry. Test the new training format in 6 countries, where EUREM is already established: AT, CZ, DE, ES, FI, GR. 2) Transfer the training to 6 new countries where it is difficult to establish without support for preparatory work; run the pilot courses and achieve national accreditation/recognition: AL, BA, EE, LV, RS, TR. 3) Develop and test add-on implementation support activities for trainees and other energy managers who need coaching/support beyond the training scope or want to practice more, eg. workshops on energy audits, on convincingly presenting energy measures to decision makers, follow-up on implementation of measures, networking/awareness raising activities including financial sector. 4) Conduct communication & dissemination activities including: • 6 good practice videos of participants' sustainable energy measures, • 2 conferences to enable exchange of experience of energy managers and auditors, financial sector representatives, trainers, and other experts, • 2 international EnergyManager Award competitions and national ones in new countries, • Press releases, classical and social media, newsletters, personal contacts, events.

Keywords: training,capacity building,qualification,energy auditors,energy managers,businesses,industry,services,implementing sustainable enegy measures,financial and economic aspects,energy concepts
Quantum Enhanced Sensing with Cold Atoms (QUESCA)

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: Physics
Countries involved: Greece
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-08-01
End date: 2019-07-31
Duration (months): 24.0
Total project cost (EUR): 164653.2
EU funding (EUR): 164653.2
Participants: 1
Project status: CLOSED

Atom sensors based on cold atoms have demonstrated great potential in precision measurements both in applied technology and in fundamental science. The main limitation is now the quantum projection noise originating from the counting of uncorrelated atoms. This limit can only be broken by entangling the probe atoms and creating squeezed states. We propose a novel scheme for generating squeezing in ultra-cold atomic ensembles via quantum-non-demolition measurements based on the cavity-aided measurement of the Faraday optical rotation that light experiences as it travels through the atomic medium. This method holds the promise of realizing a significant squeezing with a medium-finesse optical cavity without the use of additional optical interferometers. It outperforms conventional detection schemes based on absorption imaging by allowing smaller dead time between consecutive measurements. Applications include atomic clocks and inertial sensors, which can be used for technical applications (gravitational geodesy, gravimetry for oil, gas and rare metal exploration and cavity detection in construction) and for fundamental physics experiments (gravitational wave detectors, Einstein Equivalence test and gravitational tests of the standard model).

Keywords: quantum enhanced metrology,cold atoms,atom sensors
Wearable Integrated System for Early Detection of Preterm Labour (WISH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Belgium
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-11-01
End date: 2017-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Preterm birth (PTB) is the leading cause of neonatal death and the second-leading cause of death in children under five years. In Europe, about 75% of all neonatal deaths occur to infants born preterm. In addition, children who are born prematurely have higher rates of cerebral palsy, sensory deficits, learning disability and respiratory illnesses. Spontaneous preterm labour is the cause of almost 50% of cases of PTB. PTB global rates vary from 5% to 18% of births. PTB causes a great suffering to new parents and has also a significant economic impact. In 2007, the Institute of Medicine reported that the medical cost associated with premature birth in the US was $16,9 billion per year and when considering indirect costs, this figure rises to $ 26,2 billion in total. Approximately 10% of pregnant woman have high-risk factors of PTB. An early detection and intervention is crucial as there are several medical options to delay labour, and protect the baby. However, at present the only way of detecting PTB is to go to hospital for clinical examination. Expecting couples may go several times to the hospital with suspicious of preterm labour, and be sent home a couple of hours later. These false alarms directly lead to excessive use of healthcare and add to the overall cost burden. Bloom technologies will cover this gap and reduce these impacts offering a disruptive solution: WISH, a wearable patch, based in contractions measurement, for pregnancy monitoring focused on early labour detection. WISH will allow the early detection of PTB to decrease its health and economic impact. WISH is based in measurement of uterine electric activity to detect contractions. Through additional measurement of other physiological parameters we will offer an effective way of self-control to our main target user: women with high risk of PTB. Our business opportunity relies in the 12,6 million high risk mothers in the EU and US, that will be potential users of WISH.

Keywords: pre term birth,wearable,data analytics,point of care medical device,biomarker,uterine electric activity
Foundations of Model Based Science (SCIMOD)

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: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

In this project we will develop a systematic account of how scientific models are used to understand the natural world. It’s generally accepted, by both practicing scientists and philosophers of science, that scientific models are the primary (although perhaps not the sole) units of scientific investigation. But the model-world interface has yet to be fully understood. Recent work on scientific representation has urged us to think about models not as ‘intended copies’ of their target systems; but rather as exploiting much more conventional associations between features of models and features to be exported to their targets. We will build on this basic insight and explore its implications in a series of five subprojects. First we will develop an account of scientific explanation which is designed to apply to model-based science and which is sensitive to the basic insight mentioned previously. Second we will develop an account of structure of scientific theories that balances formal considerations with the actual practice of using theoretical models to draw inferences about their targets. Third we will explore the ontological status of models across different scientific fields. Fourth we will apply/illustrate the insights from the above projects to/with a series of detailed case studies focusing on models from fundamental physics and biology. Finally we will explore the connections between scientific representation and representation in other domains (language, mind, and art).

Keywords: models,representation,explanation,theories,ontology
Expanding research infrastructure visibility to strengthen strategic partnerships (RI-VIS)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Support and infrastructures
Action type: Coordination and support actions
Countries involved: Germany,Austria,Germany,Germany,Finland,Belgium,France,Netherlands,United Kingdom,Portugal,United Kingdom
Call: Policy and international cooperation measures for research infrastructures (H2020-INFRASUPP-2018-1, 2018)
Start date: 2019-02-01
End date: 2022-01-31
Duration (months): 36.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 15
Project status: CLOSED

European and global research infrastructures (RIs) provide facilities and resources to support excellence and innovation, delivering socio-economic value by raising skills, advancing knowledge and technology and its exploitation, and driving new development and construction. RIs closely engage with their specialist communities but RI sustainability in the long term requires engagement with civil communities and stakeholders where an understanding of the significance and the socio-economic benefits of the services delivered underpins financial and strategic support. RI-VIS will increase the visibility of European RIs to broader scientific communities, industry and strategic partners in third countries. The RI-VIS consortium has main membership from the life sciences RIs where there is urgent need to improve outreach and strategic partnerships. Partner RIs in other thematic groups ensure that outcomes are relevant to all. A major advantage of this consortium is first hand knowledge of RI services and operating processes and their user communities. RI-VIS will target communities and stakeholders with current and precise information and match them with RIs to facilitate i) the development of new collaborations, ii) user accessibility, iii) collaborative and innovative actions, iv) funding opportunities, v) knowledge transfer and vi) training opportunities. RI-VIS will make it easier for new entrants to find out how RIs are organized and funded, where and how to access RI services and where data is available. The communication framework will include several digital platforms to achieve broad reach and generate a communication toolkit to help others benefit from the experiences gained. RI-VIS will broker engagement of RIs with various stakeholder groups using events and thematic workshops. A collaboration toolkit will identify best engagement strategies to bring new agreements to fruition. RI-VIS will mentor a selection of partnerships to broker cooperation agreements.

Keywords: research infrastructure cooperation collaboration outreach industry third countries stakeholder brokerage