Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Cutting Crime Impact – Practice-based innovation in preventing, investigating and mitigating high-impact petty crime (CCI)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Spain,Estonia,France,Netherlands,Netherlands,Netherlands,United Kingdom,Portugal,Portugal,United Kingdom
Call: Human Factor for the Prevention, Investigation, and Mitigation of criminal and terrorist acts (H2020-SEC-2016-2017-2, 2017)
Start date: 2018-10-01
End date: 2021-12-31
Duration (months): 39.0
Total project cost (EUR): 3095068.75
EU funding (EUR): 3095068.75
Participants: 12
Project status: CLOSED

Petty crime has a significant negative impact on European citizens’ quality of life, community cohesion and the safety and security of the urban environment. The aim of the Cutting Crime Impact (CCI) project is to enable Law Enforcement Agencies (LEAs) and security policymakers to adopt a preventative, evidence-based and sustainable approach to tackling high-impact petty crime. Tailored to the needs of end-users, CCI will design, develop and demonstrate four Toolkits covering: (i) predictive policing; (ii) community policing; (iii) crime prevention through urban design and planning; and (iv) measuring and mitigating citizens’ feelings of insecurity. Using social science methods and innovation tools from the design industry, CCI will support LEAs in researching and innovating practical, evidence-based tools that meet end-users needs and operational contexts. In delivering CCI, LEAs will gain valuable experience in requirements capture, problem framing, ideation, concept generation, solution design and prototyping that is transferable to other areas. Practical consideration of ethical, legal and social issues throughout the project's research and innovation activities will ensure developed Toolkits help promote safe and secure towns and cities, without compromising fundamental human rights. All toolkits will be demonstrated in an operational setting to assess performance, and materials developed to support integration into LEA operations and foster wider implementation. CCI aims to encourage wider EU adoption of effective approaches to safety and security, and will develop an extended European Security Model that includes high-impact petty crime and citizens’ feelings of insecurity. CCI will result in greater openness to innovation and design approaches amongst LEAs and security policymakers across Europe, as well as demonstrate the value of practitioner-led approaches to EU-funded research and innovation projects.

Keywords: predictive policing,community policing,crime prevention through urban design and planning,reducing feelings of insecurity,european security model,requirements capture,toolkits
Ecosystemic knowledge in Standards for Hydrogen Implementation on Passenger Ship (e-SHyIPS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Fuel Cells and Hydrogen
Action type: Research and Innovation actions
Partnership: FCH2 (Art-187)
Countries involved: Italy,Spain,Italy,Italy,Italy,Germany,Cyprus,Greece,Greece,Greece,Finland,Finland,Netherlands
Call: PNR on hydrogen-based fuels solutions for passenger ships (H2020-JTI-FCH-2020-1, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 16
Project status: SIGNED

Hydrogen fuel cells market potentials in the maritime sector have been demonstrated in the last years with several vessels flagship projects. Despite hydrogen is a worldwide considered a valid option to reach the emission reduction targets, also part of the International Maritime Organization (IMO) strategy, a regulatory framework applicable to hydrogen fuelled ships is not yet available. E-SHyIPS brings together the Hydrogen and maritime stakeholders and international experts, through an Advisory Board, to gather new knowledge based on regulatory framework review and experimental data on ship design, safety systems, material and components and bunkering procedures. The approach is "vessel independent", in order to avoid the burdens of customized projects, and is focused on the risk and safety assessment methodologies. Based on this, e-SHyIPS will define a pre-standardization plan for IGF code update for the hydrogen-based fuels passenger ships and a roadmap for the boost of Hydrogen economy in the maritime sector.

Keywords: ship design,safety engineering,material and components requirements,bunkering procedures,risk assessment,cfd simulation,digital twin
MObiLIty sERvices Enhanced by GALILEO & Blockchain (MOLIERE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Innovation actions
Countries involved: Spain,Italy,Estonia,Belgium
Call: EGNSS applications fostering digitisation (H2020-SPACE-EGNSS-2020, 2020)
Start date: 2020-12-01
End date: 2023-11-30
Duration (months): 36.0
Total project cost (EUR): 2682298.22
EU funding (EUR): 1997567.5
Participants: 13
Project status: SIGNED

MOLIERE - "MObiLIty sERvices Enhanced by GALILEO & Blockchain" will build the world's best open data commons for mobility services, the “Wikipedia of public transport and new mobility data”, a Mobility Data Marketplace (MDM) underpinned by blockchain technology, raising the profile, visibility, availability, and utility of geo-location data from GALILEO, and will test it to fuel and demonstrate a diverse set of concrete, highly relevant mobility scenarios and use cases where geo-location data is key, addressing the needs of cities, public transport authorities, mobility service providers, and end-users.

Keywords: galileo,geo location,maas,data sharing,open data
Differential adaptation capacity of dryland grasses to directional changes in water availability (DIAGRASS). (DIAGRASS)

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: Environment and Geosciences
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-04-01
End date: 2021-03-31
Duration (months): 36.0
Total project cost (EUR): 239191.2
EU funding (EUR): 239191.2
Participants: 2
Project status: CLOSED

Understanding how the intensification of the water cycle, as projected by several climate models, will impact grassland ecosystems will be critical for evaluating their future capacity to provide services and for developing sustainable management policies. This will be especially important in dryland regions, where water availability is the main driver of many ecological processes. To date, several studies have detected responses of vegetation to extreme events from molecular to regional scales, although the heritability of these effects is still unclear. In addition, environmental stresses suffered by a generation can influence the phenotype and performance of its offspring beyond the effects of the transmitted genes (the so-called transgenerational effect). Nevertheless, the description of the mechanisms involved in these responses is also incomplete. The lack of knowledge about the adaptation thresholds of species to new climate scenarios can hamper our ability to predict shifts in ecosystem services. Therefore, the main objective of this project is to evaluate the adaptation capacity of dryland grass species to extreme scenarios of water availability. We will use short- and long-term rainfall manipulative experiments combined with molecular (genomic, genetic and epigenetic), physiological, morphological and ecosystem approaches. The research outlined in this proposal includes a range of state-of-the-art methods to ensure the maximum utility and impact of our results. Altogether, DIAGRASS aims to explore linkages from molecular to ecosystem processes to improve our ability to predict how more extreme rainfall regimes will affect future key ecosystem services (e.g., the stocking-density capacity) of grasslands located in dryland regions. This project will also contribute to improve the knowledge in a key scientific topic for the EU: the Horizon 2020 societal challenge “Climate action, environment, resource efficiency and raw materials”.

Keywords: ecological genomics,grass adaptations,hidroclimatic changes,functional and performance traits,genome sequencing,genetic and epigenetic assays,transgenerational effects,drylands
Processing Underutilised Low value sugarbeet Pulp into VALUE added products (PULP2VALUE) (PULP2VALUE)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Innovation actions
Partnership: BBI (Art-187)
Countries involved: Germany,Belgium,Belgium,Netherlands,Netherlands,United Kingdom
Call: Functional additives from residues from the agro-food industry (H2020-BBI-PPP-2014-1, 2014)
Start date: 2015-07-01
End date: 2019-06-30
Duration (months): 48.0
Total project cost (EUR): 11428347.5
EU funding (EUR): 6589180.0
Participants: 8
Project status: CLOSED

Sugar beet pulp (SBP) accounts for approx. 13 million tonnes in Europe and is a major residual stream from the sugar beet industry, which is currently valorised as low value feed and/or green gas. In order to increase the value of its side streams, PULP2VALUE developed multiple extraction techniques to isolate more valuable products from this large fraction of sugar beet pulp. Roughly 65% of the dry matter mass can be isolated as high value products being: microcellulose fibers (MCF) (33%), arabinose (16%) and galacturonic acid (16%). The overall objective of this project is to further establish the value chains based on MCF, arabinose (Ara) and galacturonic acid (GalA). By demonstrating an integrated and cost-effective cascading biorefinery system to refine sugar beet pulp, Cosun aims to significantly increase (20-50 times) the value of the sugar beet pulp by demonstrating applications for approximately 65% of its mass in high value markets. For each of these products PULP2VALUE identified multiple product market combinations (PMC’s). For the MCF fraction application supply chains towards detergents, personal care, oil & gas, paints & coatings and composites are developed. Throughout the years Cosun developed a pilot facility in which the state-of-the-art unit of operations were tested. Together with partners, Cosun is now planning to optimize, integrate and scale-up these processes to a demonstration scale to further supply product development in order to establish long lasting supply chains. The PULP2VALUE will target 9 new value chains resulting in a market potential of at least 350.000 tons and a potential revenue of 200 million euro. The PULP2VALUE makes available a mild and environmentally friendly biorefinery process for beet pulp compared to other biobased and fossil products. It will spur rural development in sugar beet growing districts by connecting them in new cross-sectoral value chains with the chemical and food industry.

Keywords: sugar beet pulp,biorefinery,microcellulose,arabinose,galacturonic acid,galactaric acid,value chains
Learning efficient millimeter wave radar imaging for autonomous vehicles (DEEP-RADAR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Israel
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2019-10-01
End date: 2021-03-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The emerging autonomous vehicle ecosystem is expected to grow with an almost 40% CAGR in the next decade hitting €485 billion by 2026 and exceeding €6 trillion in 2050. There is wide industry consensus that improved long-range depth sensing modalities are imperative for the viability of self-driving cars. State-of-the-art optical technologies are still prohibitively expensive, have insufficient temporal and spatial resolution, do not provide an accurate velocity reading, and are restricted to a shorter range in adverse weather conditions. Millimeter wave multiple-input multiple-output (MIMO) radars are an attractive alternative relying on a phased array of transmitting antennas and digital receivers, containing no moving parts, and able to penetrate adverse weather conditions. The weakness of this technology is the costly requirement for a large number of receiver channels to achieve sufficient spatial resolution. We will apply our novel methodology recently developed for medical imaging to overcome this challenge. We have demonstrated that learning the entire imaging pipeline in medical ultrasonography, including the shape of the transmitted pulses and the configuration of the receivers allows reducing the number of transmits by a factor of 3, while maintaining image quality comparable to traditional high-frame rate imaging protocols. Despite the different underlying physics, ultrasound and radar imaging share many conceptual similarities and have a similar mathematical description. Here, we intend to develop a proof-of-concept MIMO radar system demonstrating that by using the learned transmit patterns and image reconstruction pipeline, it is possible to halve the number of receive channels without compromising the image resolution and signal-to-noise ratio. Maintaining high resolution images using a smaller number of receiver channels will significantly reduce the cost of this technology and increase the commercial viability of automotive MIMO radars.

Keywords: rf imaging,mimo radar,autonomous vehicle,deep learning,beamforming,inverse problem
CAncer PAtients Better Life Experience (CAPABLE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Italy,Spain,Israel,Italy,Poland,Lithuania,Netherlands,United Kingdom
Call: Big data and Artificial Intelligence for monitoring health status and quality of life after the cancer treatment (H2020-SC1-DTH-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 5962792.5
EU funding (EUR): 5962792.5
Participants: 12
Project status: SIGNED

After the primary intervention, most of cancer patients are managed at home, facing long-term treatments or sequelae, making the disease comparable to a chronic condition. Despite their benefit, strong therapeutic regimens often cause toxicity, severely impairing quality of life. This may decrease adherence to treatment, thus compromising therapeutic efficacy. Also due to age-related multimorbidity, patients and their caregivers develop emotional, educational and social needs. CAPABLE will develop a cancer patient coaching system with the objective of facing these needs/issues. The time is right to fully exploit Artificial Intelligence (AI) and Big Data potentialities for cancer care and bring them to patients’ home. CAPABLE will rely on predictive models based on both retrospective and prospective data (clinical data, data from unobtrusive environmental and wearable sensors, data from social media and questionnaires). Models will be integrated with existing clinical practice guidelines and made available to oncologists. Thanks to the mobile coaching system for patients, CAPABLE will allow identifying unexpected needs, and providing patient-specific decision support. This feature, together with the chance of discovering unknown adverse effects of new treatments, makes CAPABLE more than a personalised tool for improving life quality, an advance for the whole research community. Our team includes complementary partners with experience in data- and knowledge-driven AI, data integration, telemedicine, decision support. In addition, the involved patients’ association gives a unique opportunity to access thousands of questionnaires on patients’ needs, which will inform the system design. The project addresses EU priorities such as shifting care from hospitals to home to face scarcity of healthcare resources, facilitating patients’ re-integration in the society and in the labour market, and ensuring all EU citizens to benefit from an effective, novel cancer care model.

Keywords: cancer,multi morbidity,follow up,cancer treatment adverse effects,clinical practice guidelines,patient s coaching,patient s engagement,mobile application,dashboard for physicians
Charge transport in nanochannels (ELNANO)

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: Physics
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-12-01
End date: 2022-11-30
Duration (months): 36.0
Total project cost (EUR): 263732.16
EU funding (EUR): 263732.16
Participants: 2
Project status: CLOSED

The primary aim of the ELNANO project is to advance fundamental understanding of the physics of ionic fluid flow under confinement, with a focus on charge transport phenomena in nanochannels and nanopores. The second objective is to apply the insights gained to the rational design of nanochannels that perform specific functions. In particular, we will design nanochannels that efficiently harvest the energy contained in salinity gradients between river and sea water. Harvesting this so-called osmotic power or “blue energy” has recently seen a surge of interest that led to the construction of several pilot plants around the world. However, at present its applicability and further development is hampered by poor understanding of nanoscale transport. Our research will combine analytical and numerical methods to address pertinent questions of transport on the nanoscale beyond the current state of the art. Merging the recently refined boundary-integral description of electrostatics with explicit hydrodynamic simulations will enable, for the first time, an accurate and computationally efficient description of ionic flow on the nanoscale. In the process, the researcher will broaden his expertise by acquiring top-level training in electrodynamics and hydrodynamics of charge transport, which will complement his skill set and prepare him for an independent research career. Moreover, the project will strongly contribute to the European excellence in nanoscale physics and also directly promote sustainable development by aiming to increase the efficiency of osmotic power and desalination applications.

Keywords: ionic solutions
Small Air Transport (SAT) - GAM 2020 (GAM-2020-SAT)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Italy,Czechia
Call: Small Air Transport (SAT) - GAM 2018 (H2020-IBA-CS2-GAMS-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 3303595.61
EU funding (EUR): 2284456.02
Participants: 2
Project status: SIGNED

Currently, there is a big need for connecting small airports in remote areas. However, today no affordable solution is available due to the high cost per seat of current available small aircraft. Thus, a reduction of operating cost of small aircraft (up to 19 seats) is needed to open this promising market, contributing to improve mobility in Europe, connecting small cities and helping to reduce flight time, matching the FlightPath 2050 "d2d 4h" (4 hours door to door) challenge. In parallel, aviation sustainability issues have become more and more important, being aviation pollution an important source of global environmental pollution. The SAT Initiative proposed in Clean Sky 2 represents the R&D (Research & Development) interests of European manufacturers of small aircraft used for passenger and cargo transport, belonging to EASA´s CS-23 (European Aviation Safety Agency Certification Specifications-23) regulatory base. This includes dozens of industrial companies (many of which SMEs – Small Medium Enterprises –), research centres and universities. The community covers the full supply chain, i.e. aircraft integrators, engine and systems manufacturers and research organizations. SAT main goal is to meet the Flightpath 2050 target whereby "90% of travellers within Europe are able to complete their journey, door-to-door, within 4 hours", improving overall European air mobility, by means of an eco-friendly, and economically viable aircraft answering sustainability needs, market demand, and cost-effectiveness. In particular, two platforms are being investigated: a Green 19-seats EIS2025 (Entry Into Service in 2025) and an E-STOL (Electric/hybrid Short Take-Off and Landing) EIS2032 (Entry Into Service in 2032) 19-seats commuter. This proposal presents the work plan 2020-23 toward the SAT-TA final objectives.

Keywords: small air transport