Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Joint Universal activities for Mediterranean PV integration Excellence (JUMP2Excel)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Spain,Malta,France,United Kingdom
Call: Twinning (H2020-WIDESPREAD-05-2017-Twinning, 2017)
Start date: 2018-10-01
End date: 2022-03-31
Duration (months): 42.0
Total project cost (EUR): 1003441.25
EU funding (EUR): 1000000.0
Participants: 4
Project status: CLOSED

JUMP2Excel aims to stepping up and stimulate scientific excellence and innovation capacity of MCAST Energy in the field of PV integration including related technologies such as energy storage and ancilliary services and electricity markets. This is achieved by joint universal activities with a group of top world leading research centres (CENER and CEA) together with one of the best research intensive university (UNIMAN) who will provide access to extensive network and contacts in the field. The activities are mainly knowledge transfer and networking through a series of workshops, winter/summer schools, MRes and PhD programmes, internships, exchanges, meetings and mentoring. MCAST Energy is experiencing a self-funding growth within its breath of energy research theme that lead on campus. In addition, the MCAST main campus infrastructure together with laboratories will be the first ‘living laboratories’ on the island, used for real-life applications while delivery training and research as well. This TWINNING proposal will provide a stimulus of required knowledge to become more efficient and competitive to an international level of excellence. JUMP2Excel is designed for all partners to benefit in a way that goes sustainably beyond the three-year funding period. This eventually will result in enhanced skills sets and profile of MCAST Energy which in turn reflect the positive development of Malta knowledge economy including its ambition as a regional energy hub, solar country and blockchain state.

Keywords: photovoltaics,photovoltaics integration,energy storage,electricity markets,systems,knowledge transfer
ScienceRouter: AI-powered knowledge matchmaking to boost the innovation landscape (ScienceRouter)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2019-01-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

About 50% of European sectors can be considered R&D-intensive. These industries account for 26% of employment and 39% of GDP within the EU. To stay competitive, companies must dedicate considerable amounts of human and financial resources in R&D. But R&D is not only done internally: collaboration between industrial and academic worlds is essential. However, knowledge transfer between researchers and industry is hampered by the lack of efficient tools for matching companies with the right researchers or organizations. There is not an easy way to match companies with the most adequate researcher. Some IT solutions exist allowing companies to make manual explorations to find researchers: article search engines (Google Scholar), research analytics platforms (MonoCl), professional and academic networks (ResearchGate, LinkedIn). These search engines are not optimised with the purpose of finding individuals based on their knowledge. Limited to a group of keywords, they rely on the information shared by the researchers and do not facilitate the establishment and management of the collaboration. Machine intelligence Sweden has developed ScienceRouter (SR), a machine learning web-based software that finds perfect matches between companies and researchers. It allows for long free text searches, unlocking 18 million open access research articles, which are continuously updated. SR also facilitates contracts and payments, reducing the on-boarding time and cost by 92%. The Feasibility Study for this project will take 5 months and focus on an in-depth market study, technical validation and the development of a final business plan to take us to market. SR opens up the market for contractual research projects and technical consulting opportunities valued globally at €15.3 B, from which we are targeting a market of €205 M per year, i.e. 1,3%. With this model and the successful completion of the innovation project, we estimate an EBITDA of €22.3M, creating 60 jobs by 2024.

Keywords: technology transfer,access to innovation,machine learning search engines,big data,artificial intelligence,applied randd
Cell-integrated SENSIing functionalities for smart BATtery systems with improved performance and safety (SENSIBAT)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Future Battery Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Austria,Italy,Austria,Germany,Spain,Belgium,Belgium,France,Netherlands,Netherlands
Call: Sensing functionalities for smart battery cell chemistries (H2020-LC-BAT-2020-3, 2020)
Start date: 2020-09-01
End date: 2023-12-31
Duration (months): 40.0
Total project cost (EUR): 3333930.0
EU funding (EUR): 3333930.0
Participants: 13
Project status: SIGNED

SENSIBAT’s overall objective is to develop a sensing technology for Li-ion batteries that measures in real-time the internal battery cell temperature, pressure (e.g. mechanical strain, gas evolution) conductivity and impedance (separately for the anode, cathode and electrolyte). The data and insights from these new sensing technologies will be used for the development of improved state estimator functions based on an improved understanding of how, where and when degradation and failure mechanisms occur. These functions will be included in the BMS. SENSIBAT’s approach consists of five steps: 1) develop the required battery cell sensor technology, 2) subsequently integrate this sensor technology into 1Ah and 5Ah pouch battery cells, 3) incorporate the 5 Ah cells in a 24V battery module with BMS, 4) use the data from the internal sensing technologies to develop robust and advanced state estimation functions. Several state (SOC/SOH/SOE/SOP) estimation algorithms will be improved, better forecasting algorithms and novel safety concepts (SOS) will be created, 5) carry out a cost-benefit analysis for the batteries with sensors as well as a recycling study of the cells. Improved understanding about the nature and timing of unwanted internal battery processes enables faster and more accurate control of the individual cells in a battery system during operation. More accurate control stretches the possibilities of fast charging and discharging, increases the usable battery capacity in different weather conditions and gives a detailed usage history. It allows for better battery state forecasting, resulting in a longer lifetime and more economical use during its 1st and 2nd life. Sophisticated lifetime prediction models enable improved (preventive) maintenance schemes. SENSIBAT’s technology that will be developed for all Li NMC battery types, can be transferred to serve other battery chemistry types.

Keywords: internal battery sensing technology,state estimator functions,battery degradation,failure mechanisms,quality,reliability safety,performance,lifetime li ion batteries
Energy Performance Certificate Recast (EPC RECAST)

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: Innovation actions
Countries involved: Italy,Germany,Spain,Italy,Belgium,Slovakia,France,France,France,France,Luxembourg
Call: Next-generation of Energy Performance Assessment and Certification (H2020-LC-SC3-EE-2019, 2019)
Start date: 2020-09-01
End date: 2023-12-31
Duration (months): 40.0
Total project cost (EUR): 2751017.5
EU funding (EUR): 2494325.14
Participants: 12
Project status: SIGNED

To reach the EU decarbonization objectives, it is urgent to trigger more investments targeting energy retrofit for buildings. Introduced at European level since 2002 within the Energy Performance of Buildings Directive (EPBD), Energy Performance Certificates (EPCs) represent a relevant instrument supposed to be strongly structuring for the assessment of buildings energy performance, decision support regarding energy retrofit projects, development and articulation of financing instruments (public and private), benchmark of building assets and market value recognition. However, the potential for this instrument remains largely under exploited because of several challenges: The improvement in terms of reliability – referring to results variance depending on the assessor, input data and calculation tools, the lack of understanding between predicted and actual energy performance, etc. – represents a crucial issue to unlock confidence, decision support, and articulation for financing. Besides, to engage end-users towards deep renovation, the certification is to structure tangible pathways to ambitious targets with respect to building overall quality and energy performance improvement. Furthermore, the design for the overall process and certification outputs must be even more owner and occupant-centric and allow European benchmark and public policies analysis. To tackle the above challenges, and leveraging on the business operations of consortium partners, EPC RECAST will set a well-structured process and a toolbox supporting the development, implementation and validation of a new generation of Energy Performance Assessment and Certification, with a deliberate focus on residential buildings, more specifically existing ones, for which retrofit is one of the most challenging and pressing issue.

Keywords: smart readiness,inverse modelling,smart meters,retrofit,building passport,digital logbook,residential,reliability,user friendliness,comparability
An innovative class of nanoparticles (“SmartCubes”) for the targeted delivery of protein therapeutics (SmartCubes)

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: Chemistry
Countries involved: Sweden
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-06-01
End date: 2019-05-04
Duration (months): 24.0
Total project cost (EUR): 185857.2
EU funding (EUR): 185857.2
Participants: 1
Project status: CLOSED

'SmartCubes' are an innovative class of nanoparticles for the targeted delivery of protein therapeutics. The objective is to deliver high levels of membrane proteins to cancer cells to combat disease. I will achieve this by creating novel 'sponge-like' targeted nanoparticles (SmartCubes) to selectively deliver unprecedented levels of a cancer therapeutic protein to colon adenocarcinoma cells. ‘SmartCubes’ are based on a cubic membrane structure. They contain a highly stable lipid bilayer displaying a 'honeycomb-like' construction. This structure has prevented previous applications as the water channels were too small for large proteins to enter and reconstitute into the membrane. I am uniquely able to tune the sizes of the water channels within the 'SmartCubes' to create water networks sufficiently large to house a whole new class of proteins. I will achieve this new class of nanoparticles by creating 'SmartCubes', modifying the outer surface of the 'SmartCubes' with a selective antibody, loading the cubic membrane with a cancer therapeutic protein and delivering them to cancer cells. Protein therapeutics are an exciting alternative to conventional cancer treatments due to reduced side effects and their high target selectivity. I can surpass previous attempts which were limited by rapid protein degradation and the instability of the delivery vehicle. As protein therapeutics increase in complexity, there is a need for stable, high surface area, membrane based delivery systems. This project, hosted in the 2014 European life sciences group of the year, will transform my fundamental research into a platform technology that will revolutionise the field of protein therapeutics.

Keywords: nanoparticles,cubosomes,delivery,protein therapeutics,targeted,live cell raman spectroscopy
Supergene evolution in a classic plant system - bringing the study of distyly into the genomic era (SuperGenE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Sweden
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 1475636.0
EU funding (EUR): 1475636.0
Participants: 1
Project status: SIGNED

Understanding how adaptive combinations of traits are maintained is a central question in evolutionary biology. Supergenes are clusters of genes that can maintain favorable trait combinations because they are inherited as a unit. Studying supergenes allows us to address fundamental questions on the origin and evolution of complex adaptations and the effects of suppressed recombination, and is therefore of broad significance. Distylous plants offer a particularly promising opportunity to study supergene evolution. In distylous plants there are two floral morphs that differ reciprocally in the placement of stigma and anthers. These character combinations are maintained by a supergene, the distyly S-locus. While distyly has interested many generations of biologists, we still know little about the origin and evolution of this supergene, and progress on this front has been hampered by the lack of molecular genetic data on the S-locus. Here, we aim to make full use of the latest advances in genome sequencing technology to bring the study of distyly into the genomic era. Specifically, we will develop the classic Linum genus as a model for supergene evolution. We will first combine de novo assembly of the genomes of six Linum species with genetic studies to identify S-linked regions. Then, we will test whether the S-locus exhibits similarities to sex chromosomes with respect to recombination suppression, genetic degeneration and gene expression evolution. Finally, we will investigate the genetic causes and population genetic consequences of recurrent loss of distyly in Linum. The high-quality genome assemblies produced during this project will pave the way for future studies of the molecular basis of adaptive floral differences first identified by Darwin. The results from this project are of great general importance for our understanding of the evolution of coadapted gene complexes and will shed new light on the important and fascinating phenomenon of supergenes.
ERA-Net on INtesTInal MICrobiomics, diet and health, implementing JPI HDHL objectives (HDHL-INTIMIC)

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: ERA-NET Cofund
Partnership: HDHL-INTIMIC (ERA-NET)
Countries involved: Austria,Germany,Spain,Italy,Israel,Germany,Sweden,Belgium,Belgium,France,Netherlands
Call: ERA-NET Cofund: Public-Public Partnerships in the bioeconomy (H2020-SFS-2016-1, 2016)
Start date: 2016-12-01
End date: 2023-05-31
Duration (months): 78.0
Total project cost (EUR): 10602500.0
EU funding (EUR): 3498825.0
Participants: 19
Project status: SIGNED

HDHL-INTIMIC (INtesTInal MICrobiomics) is a proposal for an ERA-NET Cofund in the field of food, nutrition and health to support the Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL). There is a high burden of non-communicable diseases due to unhealthy diet and lifestyle patterns. The intestine and in particular the intestinal microbiota have an influence on metabolic processes, thereby contributing to the development of lifestyle-related diseases. The 26 members of the JPI HDHL are working together to develop means to (1) motivate people to adopt healthier lifestyles including dietary choices and physical activity, (2) develop and produce healthy, high-quality, safe and sustainable foods and (3) prevent diet-related diseases. Since 2012, JPI HDHL has implemented seven Joint Funding Actions (JFAs) with around 45 M€ national funding. In addition, the first ERA-NET Cofund under the umbrella of JPI HDHL, ERA-HDHL, has recently started, implementing an EC cofunded call on Biomarkers on Nutrition and Health with a committed budget of around 12 M€. Building on these achievements, HDHL-INTIMIC will now further enhance the collaboration between JPI member countries and between the JPI and the EC by providing a platform for implementing further JFAs that address the needs identified in the JPI HDHL Strategic Research Agenda. In particular, a transnational Knowledge Platform on the interrelation of diet, intestinal microbiomics and health will be implemented via an EC cofunded call and an additional JFA. For this, the JPI HDHL members countries have increased their financial commitments comparing to a previous JFA on a similar topic, including also new partners in these activities. Moreover, HDHL-INTIMIC will launch 1-2 other additional JFAs in line to fulfil JPI HDHL objectives.

Keywords: intestinal microbiomics,gut microbiota,diet,food,health,lifestyle related diseases,prevention
Innovation Management Support for SMEs (INNOSUPPORT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Germany,Germany,Germany
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): 90281.25
EU funding (EUR): 90281.25
Participants: 3
Project status: CLOSED

Key account management for H2020 beneficiaries in EIC Innovation Management Support for SME

Keywords: key account management,innovation management
Global business challenge: Breaking the oilgas water dependency with a cost-effective no-waste nanomembrane technology for water reuse (CleanOil)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Spain
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-2-2015, 2015)
Start date: 2016-05-01
End date: 2018-10-31
Duration (months): 30.0
Total project cost (EUR): 1387707.5
EU funding (EUR): 971395.25
Participants: 1
Project status: CLOSED

CleanOil consists on the introduction into the market of an innovative filtration solution to treat and reuse the produced water (PW), a highly polluted oily wastewater which is the largest volume byproduct associated to oil and gas production. The solution will allow achieving up to 80% reduction of water demand for oil extraction through the reuse of up to 99% of the PW, and will be based on a proprietary product - ceramic nanomembranes with an innovative production process - installed in a fully integrated solution with the equipment, instrumentation and advanced fouling monitoring and control tools and software. The project aims to achieve three objectives: (1) reducing the target membrane price up to 4 times, thanks to the upscaling of the nanomembrane production process, (2) launching worldwide highly competitive and cost-effective filtration solutions for the treatment and reuse of PW and (3) international consolidation through the new subsidiaries and strategic partners in high potential markets, aiming for a 3% share of the Likuid’s target industrial filtration market, doubling the existing actual staff and achieving a tenfold increase in EBITDA profit by 2020. Likuid has identified two market segments targeted by its innovative solution: onshore, with 680 Mill.€ target market (USA, Canada, Colombia, Mexico) and offshore, with 490 Mill.€ target market (North Europe and LATAM). Potential customers for Likuid’s solution are (a) the intermediary EPC, OEM and OFS companies and (b) oil producers, as end-users of the technology. In the project, onshore segment will be addressed with a Canadian demonstration for SAGD and tailing ponds and offshore segment is related to a demo study with Petrobras, who has already tested Likuid’s membranes. Successfull demonstration will boost the market uptake of the new highly-efficient and cost-effective Likuid’s solution, thus helping European cutting-edge technologies to position in the lead of sustainable O&G production.

Keywords: produced water,oil and gas industry,worldwide business opportunity,water reuse,ceramic membranes,sustainable eandp,onshore,offshore
Energy-optimized Symmetric Cryptography by Algebraic Duality Analysis (ESCADA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 2514071.25
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

The main scientific contribution of this project will be a breakthrough in the understanding of cryptanalytic and side channel attacks of symmetric cryptosystems. We will do this by a unification of attacks that will a stepping stone to the holy grail of symmetric cryptography: provable security of concrete cryptosystems. The main real-world impact is that we will build cryptosystems that are much more efficient than those used today while having the same strength. Depending on the platform, higher efficiency translates to lower energy/power (in-body sensors, contactless payment cards etc.), but also lower latency (authentication for e.g car brakes or airbags) and/or lower heat dissipation (on-the-fly encryption of high bandwidth data streams). In a software implementation it simply means less CPU cycles per byte. We build our cryptosystems as modes, on top of block ciphers or permutations. For these primitives we adopt the classical technique of iterating a simple round function (more rounds means more security but less efficiency). We focus on round functions of algebraic degree 2. Their relative simplicity will allow a unification of all cryptanalytic attacks that exploit propagation of affine varieties and polynomial ideals (their dual) through the rounds and to precisely estimate their success rates. Moreover, we will design modes that strongly restrict the exposure of the primitive(s) to attackers and that permit security reductions to specific properties of the underlying primitive(s) in a formally verifiable way. In comparison to the classical pseudorandom and ideal permutation models, this will allow reducing the number of rounds while preserving security with high assurance. We will also study side channel attacks of our round functions and ways to defend against them. We will make ASIC prototypes and implement novel efficient countermeasures against side channel attacks and use this to evaluate their effectiveness in practice.

Keywords: symmetric cryptography