Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Security framework to achieve a continuous audit-based certificationn in compliance with the EU-wide cloud security certification scheme (MEDINA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Italy,Italy,Germany,Spain,Finland,Sweden,Slovenia
Call: Building blocks for resilience in evolving ICT systems (H2020-SU-ICT-2019, 2019)
Start date: 2020-11-01
End date: 2023-10-31
Duration (months): 36.0
Total project cost (EUR): 4480308.75
EU funding (EUR): 4480308.75
Participants: 13
Project status: SIGNED

Despite the evident benefits of cloud computing, its adoption is still limited partially because of EU customers’ perceived lack of security and transparency in this technology. Cloud service providers (CSPs) usually rely on security certifications as a mean to improve transparency and trustworthiness, however European CSPs still face multiple challenges for certifying their services (e.g., fragmentation in the certification market, and lack of mutual recognition). In this context, the new EU Cybersecurity Act (EU CSA) proposes improving customer's trust in the European ICT market through a European certification scheme. The proposed EU CSA’s cloud security certification scheme conveys new technological challenges due to its notion of “levels of assurance” (e.g., high-assurance through continuous certification for the whole supply chain), which need to be solved in order to bring all of EU CAS’s expected benefits to EU cloud providers and customers. In this context, MEDINA proposes a framework for achieving a continuous audit-based certification for CSPs based on EU CSA’s scheme for cloud security certification. MEDINA will tackle challenges in areas like security validation/testing, machine-readable certification language, cloud security performance, and audit evidence management. The MEDINA consortium is composed of academic and industrial partners, which play key roles in the EU cloud security certification ecosystem (e.g., research, cloud providers/customers, and auditors). MEDINA will provide and empirically validate sustainable outcomes in order to benefit EU adopters.

Keywords: cloud certification scheme,cybersecurity act,continuous auditing,continuous certification,smart contracts,certification language
Reinforcement learning from post-ingestive calories: from body to brain in health and disease (CalorieRL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Portugal
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-11-01
End date: 2025-10-31
Duration (months): 60.0
Total project cost (EUR): 1499945.0
EU funding (EUR): 1499945.0
Participants: 1
Project status: SIGNED

The drive to eat is one of the strongest in the modulation of behaviour. Selection of food is guided by sensory feedback, including post-ingestive information about energy content, that has been studied across several species, paradigms and nutrients. In rodents, post-oral administration of sugar is associated with striatal dopamine release and conditions robust preferences, in part as a result of viscerosensory information transmitted through the vagus nerve. Consistently, in humans there is evidence that pairing a flavour with a tasteless carbohydrate will enhance pleasantness of the pre-ingestive stimulus and increase its consumption. However, available data in humans have provided limited mechanistic underpinnings for this process and, in our own experiments, performed with greater control of pre-ingestive stimulation, while we reproduced increased consumption of conditioned flavours, we found no evidence for post-ingestive mediated changes of pleasantness. Critically, this suggests that the impact of nutrient conditioning on behaviour and choice reflects the modulation of the value of actions, rather than that of associated stimuli. The application of computational reinforcement learning theory to human probabilistic decision-making tasks, which has allowed for renewed sophistication and progress to understand the mechanisms of appetitive learning, is yet to be applied to address this question. In CalorieRL, we will use computational reinforcement models applied to instrumental conditioning, in addition to brain functional and molecular imaging and peripheral nerve stimulation, to study post-ingestive reinforcement of food-seeking behaviour. We hypothesize such behaviour has a dopaminergic substrate and is associated with neural activity in brain reward circuits, resulting from sensory information transmitted through the vagus nerve. Importantly, we will also address if post-ingestive reinforcement is relevant in the context of obesity.

Keywords: reinforcement learning,post ingestive,feeding,dopamine,fmri,functional connectivity,vagus nerve,neuromodulation,obesity,weight gain
Qualified Drivetrain for Electric Flight (QualE-fly)

Framework: Horizon 2020 — Societal Challenges
Action type: SME instrument
Countries involved: Sweden
Call: H2020-EIC Accelerator pilot –SME Instrument - Green Deal (H2020-EIC-SMEInst-2018-2020-4, 2020)
Start date: 2020-12-01
End date: 2023-06-30
Duration (months): 31.0
Total project cost (EUR): 4783500.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Heart Aerospace is a Swedish start-up that makes electric aircraft for regional air travel. Heart’s first aircraft is the ES-19, an all-electric nineteen-seater airliner with a range of 400 km, set to enter service in 2025. Heart has validated strong market demand for the ES-19, with signed Letters of Intent (LOIs) from 7 airlines across Europe and North America for 137 aircraft worth approximately €1 billion. Project QualE-fly is centered around Heart’s core innovation, the high-efficiency electric drivetrain that powers the aircraft ES-19 airliner. The drivetrain comprises an electric motor, motor controller and propeller actuators, and is controlled using Heart’s Electric Propulsion Automatic Control System (EPACS). Heart has designed a prototype of the QualE-fly drivetrain with market-leading efficiency and performance. The aim of this project is to take the QualE-fly drivetrain from the prototype stage (TRL5) through the stringent certification and safety standards required for commercial aviation operations, into a product ready for the market (TRL8). The project has two work packages. Work package 1 consists of detailing formal requirements and design of QualE-fly, to ensure certifiability. Work package 2 consists of the manufacturing and qualification ground testing of the QualE-fly drivetrain. After being introduced in the ES-19 aircraft in 2025, the QualE-fly drivetrain will be reused for our 48-seater ES-48 airliner, set to enter service in 2032. The target market for this aircraft is all global short-haul air travel under 2000 km, which currently accounts for 85% of worldwide departures and 43% of global emissions. Electric aviation represents a multi-billion-dollar opportunity to cut aviation emissions and transition to sustainable, revitalized regional communities through enhanced mobility and connectivity.

Keywords: electric aviation
Advanced research and Training Network in Food quality, safety and security (FoodTraNet)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Italy,Spain,Belgium,Greece,Slovenia,Slovenia,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-05-01
End date: 2025-04-30
Duration (months): 48.0
Total project cost (EUR): 3801361.32
EU funding (EUR): 3801361.32
Participants: 10
Project status: SIGNED

FoodTraNet is designed to provide high-level training of a new generation of high achieving early stage researchers (ESRs) in a common platform of advanced mass spectrometry tools for food quality, safety and security. Due to the fast growing and changing area in food science researchers need a multidisciplinary, intersectoral grounding in these tools to extract all the potential from traditional and new available methodologies and techniques. Although already available there is still a big gap between research capability and industrial uptake that needs to be bridged to assure their use in more practical and efficient way. The network is designed to bridge this translational gap by creating a multidisciplinary training and research network that will give ESRs the ability to transfer their knowledge from basic sciences to industrial applications. FoodTraNet will cover techniques including stable isotopes, target, suspect, non-target screening and mass spectrometry imaging to obtain the following objectives: 1) identify biomarkers and bioactive compounds to assure food quality and traceability; 2) characterize novel foods to support food safety and security; and 3) developed and characterize new products based on the latest advances in nanotechnology: edible photonic barcodes; nano-sensors; multi-functional polymer nanostructured materials; and new, active and intelligent packaging. These goals will be achieved by a unique combination of “hands-on” research training, non-academic placements/courses and workshops on scientific and complementary transferrable skills facilitated by the academic-non-academic composition of the consortium. Strong industry involvement in the project, with full participation of CONCAST and SMEs from different sectors, will provide ESRs with the transferable skills necessary for thriving careers in a burgeoning area that underpins food sustainability through innovative technological development across a range of diverse disciplines.

Keywords: food,mass spectrometry,stable isotopes,target and non target analysis,imaging,data managment,safety,quality,traceability,security,nanotechnology,alternative,re use
Active Flow Control for Tilt Rotor (AFC4TR)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Switzerland,France
Call: Active Flow control on Tilt Rotor lifting surfaces (H2020-CS2-CFP10-2019-01, 2019)
Start date: 2020-09-01
End date: 2022-12-31
Duration (months): 28.0
Total project cost (EUR): 600000.0
EU funding (EUR): 600000.0
Participants: 2
Project status: CLOSED

The AFC4TR project will investigate the use of Active Flow Control using Zero Net Mass Flux devices for the Next Generation Tilt Rotor using unsteady CFD. ZNMF devices can be used to control flow separation and vortical flows in order to increase the aerodynamic efficiency, resulting in reduced fuel burn and CO2 and NOx emissions. A multi objective optimization study will be performed to optimize the locations and parameters of the ZNMF devices that will bring the desired aerodynamic benefits. The neasure of success is the report discussing the optimization studies and the results obtained. The results of the AFC4TR project might also influence ongoing and future aircraft development projects, and will contribute to maintaining Europe’s industrial leadership in the aviation sector.

Keywords: flow control,computational fluid dynamics,tilt rotor
Back to the roots of data-driven dynamical system identification (Back to the Roots)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Belgium
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 2485975.0
EU funding (EUR): 2485925.0
Participants: 1
Project status: SIGNED

To obtain data-driven dynamic models for simulation, prediction, monitoring, classification or control tasks, in applications e.g. in Industry 4.0 and eHealth, most identification methods ‘solve’ an optimization problem, relying on some nonlinear iterative algorithm. Undeniably, too many heuristics prevail: What do we mean by ‘solved’? Where did the algorithm converge to? Is the model globally optimal, unique and reproducible? To tackle these scientific deficiencies, we design a framework to deal with inexact data. We solve a longstanding open problem of least squares optimality in system identification: for polynomial dynamical models, the optimal model derives from an eigenvalue problem. Hereto, we generalize notions from Algebraic Geometry (multivariate polynomials), Operator Theory (model spaces), System Theory (multidimensional realization) and Numerical Linear Algebra (matrix computations). The first objective is to develop a mathematically rigorous realization approach that maps data onto new mathematical structures (multi-shift invariant projective subspaces). The second objective is to conceive a ‘misfit-latency’ framework to optimally map inexact data to these mathematical structures. We prove this to be a multiparameter eigenvalue problem. We expect breakthroughs in system theoretic characterizations of optimality (covering all existing methods), in the generalization to multiple input-output and multidimensional models and in finding the global optimum in the linear dynamic H2 model reduction problem. The third objective is to implement matrix computation algorithms for the results of the first two objectives, to root sets of multivariate polynomials, to solve multiparameter eigenvalue problems and to isolate only the minimizing roots. We focus on matrix aspects of large scale, sparsity and structure. Deliverables will be publications, software, graduate course material and science outreach initiatives, in line with the PI’s excellent track record

Keywords: system identification and estimation,system and control theory,multi parameter eigenvalue problems,numerical linear algebra,model reduction,multivariate polynomial optimization
Accounting for genocide: legal and scientific accounting practices in the wake of the Srebrenica genocide (Genocide accounting)

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: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2019-01-14
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

“Accounting for genocide” empirically considers two sociomaterial practices of accounting for the 1995 Srebrenica genocide in Bosnia and Herzegovina. First, it scrutinizes efforts of national and international organizations to (ac)count how many Bosniak men were massacred and who was killed in July 1995. The second question about accounting analyses how those politically responsible at the time of the genocide are legally tried at the International Criminal Tribunal for the former Yugoslavia (ICTY). The first practice of accounting is based on inter alia forensic science, statistics, missing persons lists and witnesses conveniently subsumed under ‘atrocity victim identification’ (AVI), the second practice is the domain of adversarial legal proceedings, developing international criminal law, transitional justice and controversies over the Srebrenica genocide and legitimacy of the ICTY. A rigorous qualitative analysis focusing on the various locations—mass-graves, family assistance centres, forensic laboratories, the ICTY, public domain—where objects like remains, missing persons, identities, crimes, DNA evidence, and legal cases come to matter provides a deep understanding of the question of how both practices of accounting become entangled and co-construct each other.
A novel cost-efficient process to produce best-in-class prebiotics from side-products of the bioethanol industry (BioAXOS)

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: Ireland
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2018-04-01
End date: 2020-03-31
Duration (months): 24.0
Total project cost (EUR): 2682788.75
EU funding (EUR): 1877952.0
Participants: 1
Project status: CLOSED

Prebiotics (just like other fibres) are carbohydrates—humans do not digest them, but probiotic bacteria in our gastrointestinal tracts flourish on them, making it more difficult for dangerous pathogenic bacteria to multiply. Prebiotics occur naturally in many fruits & vegetables—in chicory roots, avocados, peas, dandelion greens, as well as in whole & sprouted grains. There is a growing body of clinical studies & other scientifical evidence attesting to their positive effect on our health. At the moment the most widely used prebiotic is inulin (40%+ market share). More efficient recent prebiotics, XOS and more recently AXOS have attracted a lot of attention , since they substantially improves on other characteristics of other types of prebiotics. We have developed BioAXOS—a novel effective prebiotic from XOS family that fulfils the described criteria can replace inulin in at least half of its applications, taking a market share of at least 20%. In the EU only this represents a total addressable market of €200m. This process can be run on any bioethanol production plant (or grain milling facility) enabling additional revenue streams for them. As a result of our Phase 1 feasibility study we have secured a strategic partnership with Pannonia Ethanol to produce BioAXOS, which will accelerate our time to market by 2 years. With BioAXOS we are targeting at least 10% of the total prebiotics market by 2027, and at least 40% in the longer term. In this Phase 2 project we are requesting a €1.9m contribution to industrialize the BioAXOS process, undergo necessary regulatory approval to be able to sell into human food applications, as well as carry out 3 trials with functional food producers.

Keywords: prebiotic,xylo oligosaccharides,bioethanol,ethanol transformation
Integrated resilience assessment of bridges and transport networks exposed to hydraulic hazards (ReBounce)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Bridges are key assets of transport networks, a pylon for the society and its economic growth. Hydraulic actions, especially scour are the leading causes of their failure worldwide. Exacerbated by climate change, bridge failures induce fatalities and traffic disruptions with severe economic and societal consequences. To date, the lack of fragility functions and recovery models has prevented the development of a reliable framework for risk and resilience assessment of bridges exposed to hydraulic hazards. As a result, network operators are unable to prioritise restoration and allocate resources objectively and systematically. The ultimate goal of ReBounce is to fill this important capability gap by delivering an integrated framework for the quantification of risk and resilience of flood-critical bridges and the associated transport networks upon which they reside. To this end, the project will deliver for the first time in the international literature: (i) realistic and sufficient flood intensity measures for representative bridge typologies; (ii) rigorous fragility models that will dynamically take into account temporal variations of critical parameters, e.g. scour, debris built-up and ageing; (iii) novel multi-parameter restoration functions that will simulate the effect of restoration tasks on the capacity and functionality of bridges accounting for uncertainties in the idle times and resourcefulness; (iv) test-application of the developed assessment framework on two different road networks in the EU and recommendations for increased system resilience. The proposed research will be carried out by Dr Marianna Loli, under the supervision of Dr S Mitoulis, University of Surrey. Secondments have been agreed with the French Institute of Science and Technology for Transport, Development and Networks and JBA (UK), world-leaders in transport resilience and flood risk management who will provide cutting-edge training to the Fellow and increase the impact of ReBounce.

Keywords: bridges,hydraulic hazards,scour,vulnerability,fragility models,risk,restoration models,adaptive resilience models,numerical modelling,soil structure interaction,transport network resilience