Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
antiProton Unstable Matter Annihilation (PUMA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany,Switzerland
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2018-01-01
End date: 2024-03-31
Duration (months): 75.0
Total project cost (EUR): 2548298.0
EU funding (EUR): 2218298.0
Participants: 2
Project status: SIGNED

One of the most fascinating quantum phenomena in nuclear physics is the occurrence of neutron halos and neutron skins in very neutron rich atomic nuclei. Thick neutron skins and halos, not yet evidenced in medium mass nuclei, would be unique low-density neutron matter accessible in the laboratory. Nuclear shell structure is also known to change with the number of protons and neutrons. The nuclear structure of very heavy nuclei at and above Z=100 is barely known, and the existence of new long-lived heavy isotopes is still an open question. The above fundamental phenomena related to the unbalance of neutron and protons in unstable nuclei are essential to understand the complex nature of nuclei and related astrophysical processes. We propose a new physics program to determine the neutron over proton densities at the nuclear surface for the most exotic nuclei that can be produced today, to evidence and to characterize neutron halos and skins in medium and heavy mass regions. PUMA will also allow the spectroscopy of single-particle states in heavy-nuclei above Z=100 will offer a new insight into the unknown shell structure at the top of the nuclear landscape. To address these questions, PUMA explores a new way to study radioactive nuclei produced at very low kinetic energy: the interaction of antiprotons with unstable nuclei. PUMA is based on a new apparatus: a transportable magnetic trap to store antiprotons and maximize their interaction with slow rare isotopes in order to trigger annihilations and measure the following radiations. The PUMA methodology is based on two steps. (i) The storage of antiprotons will be performed at the new AD/ELENA facility of CERN in collaboration with the GBAR collaboration. (ii) The PUMA physics program is to take place at CERN/ISOLDE and, on a later stage beyond the ERC grant period, at the new SPIRAL2 facility in Europe. PUMA will open new horizons for nuclear structure research.
Genetic Mapping of Evolutionary Developmental Variation using Hybrid Mouse in vitro Crosses (HybridMiX)

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: Germany
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-08-01
End date: 2020-07-31
Duration (months): 60.0
Total project cost (EUR): 1499923.0
EU funding (EUR): 1499923.0
Participants: 1
Project status: CLOSED

Discovering the genetic changes underlying species differences is a central goal in evolutionary genetics. Most evolutionarily important traits affecting fitness are complex or quantitative traits, whose genetic bases are elusive. In mammals, dissecting the genetic basis of complex trait variation is particularly challenging, because efficient genetic mapping requires enormous pedigrees or specialized genetic panels that are typically beyond the resources of individual groups. Using a radically novel method to circumvent breeding limitations by “breeding” mice in vitro, I propose to dissect the genetic basis of evolutionary developmental variation. This ground-breaking approach will allow me to create large genetic mapping panels of potentially any size from mouse interspecific hybrids of increasing evolutionary divergence. In vitro crosses promise a breakthrough in evolutionary biology: by bypassing hybrid sterility and inviability, we will ask which genetic changes underlie species differences. The proposed experiments address how genetic changes accumulate during evolution of new species to shape gene regulatory networks and cause phenotypic changes at the gene expression, fitness and organismal level. This research has the potential to revolutionize genetic mapping. If realized, its impact on personalized medicine, agricultural science and evolutionary research cannot be understated.

Keywords: gene mapping,gene regulatory networks,speciation,development,evodevo,qtl mapping,complex trait genetics,hybrid sterility,genotype phenotype map
Personal Assistant for healthy Lifestyle (PAL) (PAL)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Italy,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom
Call: Self management of health and disease: citizen engagement and mHealth (H2020-PHC-2014-single-stage, 2014)
Start date: 2015-03-01
End date: 2019-02-28
Duration (months): 48.0
Total project cost (EUR): 4515460.0
EU funding (EUR): 4515460.0
Participants: 12
Project status: CLOSED

Type 1 Diabetes Mellitus (T1DM) portraits a high need and challenge for self-management by young patients: a complex illness with a high and increasing prevalence, a regimen that needs adaptation to patient’s condition and activities, and serious risks for complications and reduced life expectations. When patients do not acquire the knowledge, skills and habits to adhere to their diabetes regimen at childhood, these risks increase suddenly at adolescence. Current mHealth applications have their own specific value for self-management, but are unable to deliver the required comprehensive, prolonged, personalised and context-sensitive support and to reduce these risks persistently. We aim at a Personal Assistant for healthy Lifestyle (PAL) that provides such support, assisting the child, health professional and parent to advance the self-management of children with type 1 diabetes aged 7 - 14, so that an adequate shared patient-caregiver responsibility for child’s diabetes regimen is established before adolescence. The PAL system is composed of a social robot, its (mobile) avatar, and an extendable set of (mobile) health applications (diabetes diary, educational quizzes, sorting games, etc.), which all connect to a common knowledge-base and reasoning mechanism. The robot and avatar act as a child’s pal or companion, whereas health professionals and parents are supported by, respectively, an Authoring & Control and a Monitor & Inform tool. The PAL-project will assess the benefits of the behavioural change on patients’ health conditions, and the profits for the caregivers in longitudinal field experiments. The consortium provides the required network, expertise and tools for this research: (a) a knowledge-driven co-design methodology and tool, (b) medical, human factors and technical expertise, (c) end-user participation and (d) initial PAL building-blocks.

Keywords: mhealth,self management,pediatrics,diabetes,child development,behavior change,health,quality of life,cognitive engineering,co design,dialogue management,sentiment mining
Cross Border SESAR Trials for Enhanced Arrival Management (PJ25 XSTREAM)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Austria,Germany,Germany,Germany,Spain,Ireland,Germany,Switzerland,Switzerland,Norway,Croatia,Sweden,Sweden,Belgium,France,France,Netherlands,Denmark,United Kingdom,United Kingdom
Call: Arrival Management extended to en-route Airspace (H2020-SESAR-2015-2, 2015)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 5784526.24
EU funding (EUR): 3909904.5
Participants: 22
Project status: CLOSED

There are periods during the day when variation in aircraft arrival times combine to exceed the capacity of the destination airport to handle them without incurring airborne delay. Such delay causes increased emissions and noise in the vicinity of the airport, as well as increasing the aircraft operator’s fuel costs. Greater congestion increases the air traffic control workload and can result in less efficient aircraft profiles. To reduce airborne delays near the destination airport and the associated negative effects, two concepts can be used. One is to adjust an aircraft’s departure time by holding it on the ground so that its arrival time avoids the predicted peak in arriving traffic. Other methods involve trajectory extension or slowing down an aircraft in flight. This requires the arrival sequence to be calculated earlier than in current operations so that action can be taken early enough to have a meaningful effect. The XSTREAM project will demonstrate the benefits gained through this latter concept. These methods can be used in combination with the former concept, traditionally regarded as a network management action, but refined through the use of arrival management tools. The project will demonstrate the use of arrival management techniques for pre-departure aircraft, the calculation, updating and passing of arrival management actions for airborne aircraft such as target time, time-to-lose/gain, or speed advisory from the destination arrival management system to upstream control units, and the impact of multiple arrival constraints within an Upper Airspace Control unit. The operational demonstrations will be performed upon aircraft arriving at Paris CDG and Orly, London Heathrow and Gatwick, and Zurich. These optimized arrivals will be supported by several en-route Control units, which also will demonstrate how ‘multiple arrival constraints’ can be handled. The project will demonstrate the use of SWIM and remain aligned with engineering standardization work

Keywords: extended aman,target time,delay sharing
Smart Manufacturing Platform for Industrial Part Production through Artificial Intelligence, Big Data & Robotics (BrainedFactory)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

BasedBased on a Big Data & Artificial Intelligence environment where all data are monitored and implemented continuously, BrainedFactory is a Smart Factory platform integrating the Industry 4.0 and digital transformation to streamline and improve the whole process. It provides quotations, process engineering and manufacturing of industrial parts with maximum customisation in process design, lead time and production cost reduction, higher production plan capacity, scalability, stability, less errors during the process and predictive maintenance. BrainedFactory project relies on edge technology to bring the fully automated factory concept to life, forming a highly advanced Cyber-Physical Production System: - Industrial plant: all machines will be connected and networked to each other and to the main company IT applications. IoT sensors will help make all the steps in the production chain autonomous and work in closed loop, that is, the control system will get instant feedback from the outcomes and performance of every task, optimising the whole process in real-time and reducing cost, energy and waste. - IT infrastructure: Big Data collection, processing and tracking of the data produced by all production machines; Artificial Intelligence and data science analytics will help in making decisions to enable: 1. Real-time quotation and design in the engineering stage, 2. Real-time adaptation of production parameters to ensure manufacturing stage stability and increase productivity, 3. Communication with business IT ecosystem to optimise schedule, capacity and plant performance. Following the addition of a new plant in Ginestra (Italy), the enhancement of our manufacturing technology and the development of new information systems, BrainedFactory represents the next step in our company growth, putting 100% of R&D resources and investments towards its development and complete factory implementation aimed at 2020, expecting to obtain €25.6M additional revenues after 5 years.

Keywords: industry 4 0,smart factory,smart manufacturing,lean manufacturing,big data,artificial intelligence,digital transformation,process engineering,manufacturing,cyber physical production system
Smartphone Thermal ANalysis for Diabetic foot Ulcer Prevention and treatment (STANDUP)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Colombia,France,France,United Kingdom,Morocco,Peru
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-01-01
End date: 2023-10-31
Duration (months): 70.0
Total project cost (EUR): 504000.0
EU funding (EUR): 504000.0
Participants: 8
Project status: SIGNED

Diabetic foot (DF) disease includes neuropathy, peripheral arterial disease and infection which may lead to ulceration and subsequent lower limb amputation. DF ulcers could be further reduced according to diabetes experts. Temperature is one of the possible clinical parameter which is not currently well exploited. Recently, smartphones can acquire thermal images thanks to dedicated thermal camera. The STANDUP project proposes a smartphone based system such that mobile, accurate, friendly, low cost and fast thermal analysis of the plantar foot surface can be achieved. The smartphone thermal imaging system will be composed of a smartphone and of a FlirOne thermal camera. In the STANDUP project, two smartphone applications will be developed. The first one (A1: hyperthermia detection and analysis of thermal variations in time) will permit to detect possible hyperthermia of the plantar foot surface and will analyze temperature variations on targeted regions of interest. The second smartphone application will assess temperature, color, and 3D shape of DF ulcer along time. These smartphone applications will be evaluated during clinical trials in hospitals. In the first clinical trial, a cold stress test will permit to detect neuropathy and peripheral arterial disease. In the second clinical trial, temperature, color, and 3D shape in DF ulcers will be studied during its treatment. The third clinical study will assess the effectiveness of new insoles, these new insole will be developed during STANDUP with the objective to relive hyperthermia in DF. These 2 smartphone applications will be enhanced to result in an advanced prototype of smartphone based system for the targeted medical applications. This advanced smartphone thermal prototype, and the new insoles, will be developed during STANDUP to rapidly address novel market demands in DF early diagnosis, and in DF ulcer prevention and treatment and will lead to economic benefits for social and healthcare system.

Keywords: smartphone,diabetes,diabetic foot,thermography,image processing,software,clinical trials,biomedical engeneering,3d process,thermal camera,insole
CO2 to light olefins conversion by cascade reactions over bifunctional nanocatalysts: an ‘all X-ray’ approach (CASCADE-X)

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: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-07-01
End date: 2020-06-30
Duration (months): 24.0
Total project cost (EUR): 196400.4
EU funding (EUR): 196400.4
Participants: 1
Project status: CLOSED

In a waste-to-value perspective, CO2 can represent a sustainable carbon source to produce light olefins, representing key building blocks for petrochemical industry. CASCADE-X proposes an ultimate approach to directly convert CO2 to light olefins through cascade reactions over a bi-functional catalyst, obtained by molecular scale integration of an active metal alloy for the CO2-to-methanol reaction onto a zeotype catalyst for selective methanol-to-olefins conversion. Such a single-reactor cascade approach enables a simplified process scheme while overcoming the thermodynamic restrictions of the methanol synthesis by its sequential conversion. The action will generate fundamental knowledge on properties-performances relationships for the combined system, providing a rational for the optimization of catalyst and process conditions, as well as an improved understanding of key fundamental issues in both hydrogenation and methanol-to-olefins chemistry (restructuring, deactivation mechanisms, confinement effects). These goals will be pursued by an ‘all-X-ray’ approach, synergizing in situ and operando X-ray absorption spectroscopy and diffraction/scattering at the laboratory and large-scale facility level in combination with complementary physico-chemical methods, to identify activity/selectivity/stability descriptors for the bifunctional catalyst. Multi-modal synchrotron nano-mapping of individual catalyst particles will elucidate the space-resolved dynamics of restructuring and deactivation phenomena. Integrating the applicant’s experience in X-ray spectroscopy, the Host’s excellence in structural analysis, testing and rational optimization of zeotype catalysts, as well as the industrial know-how of the private sector partner (a leading Company in recycling and manufacturing precious metal catalysts, where a Secondment is planned), CASCADE-X provides a unique platform to diversify the proponent’s individual competences and to promote trans-sectoral knowledge transfer.

Keywords: methanol synthesis,methanol to olefins,supported metal nanoparticles,zeotype catalysts,synchrotron characterization
Sustainable finance for a smooth low-carbon transition (SMOOTH)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Italy,Italy
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 1499956.0
EU funding (EUR): 1130587.25
Participants: 2
Project status: SIGNED

The threat of climate change calls for a rapid transition to a low-carbon society. Aligning the financial system with climate stability is a crucial prerequisite for achieving decarbonisation while preserving economic prosperity and societal welfare. However, we currently lack a comprehensive understanding of how the institutional and behavioural features of financial systems may affect the speed and shape of the low-carbon transition. Additionally, the coevolving socioeconomic, financial and environmental repercussions of such a large-scale societal transformation have not yet been systematically analysed. The SMOOTH project will lay the foundations of an innovative macro-financial analytical framework to provide essential insights on the links between financial systems and decarbonisation dynamics. Methodologically, I will introduce a breakthrough by linking macroeconomic analysis with an original evidence-based representation of investment decisions based on forward-looking expectations of transition pathways. In the course of five years, this integrated modelling framework will enable the first comprehensive assessment of the transition financial drivers and obstacles, and their implications for growth, financial stability, employment, private/public debt and functional distribution, with a focus on Europe. Building on this knowledge, a harmonised set of policies aimed at achieving a rapid and smooth transition can be designed. I will go beyond the current state of the art by integrating the analysis of fiscal policies with monetary policies and financial regulation, and investigating their institutional requirements and implications. SMOOTH will create a new interdisciplinary field of research integrating elements from macroeconomic modelling, climate economics, behavioural finance, socio-technical transition theory and political science, lifting the analytical power of transition modelling to a new level and opening up novel avenues for future research.

Keywords: low carbon transition,decarbonisation pathways,sustainable finance,climate related financial risks,stranded assets,macroeconomic modelling,expectations,behavioural finance,planning horizon,investment decisions,central banking,financial regulation,policy design,political economy
Intelligent Trading Interface (ITI)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Slovenia
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-09-01
End date: 2016-02-29
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The challenges of modernizing the electricity grids in Europe lie in enabling an increased flexibility of the European power system and enabling an active participation of users and new market actors. Demand response enables end users to participate actively in energy markets and profit from optimal price conditions, making the grid (heat, cold, electricity) more efficient and contributing to the integration of renewable energy sources. At the same time the Energy Efficiency Directive adopted in 2012 contains provisions to encourage market actors to facilitate demand response. Our product – Intelligent Trading Interface (ITI) is designed to speed up adoption of Demand Side Management (DSM) systems. ITI is an interface between Virtual Power Plant (VPP) Control Centre and prosumer’s Energy Management System (EMS). It is a building block of a modular VPP system, thus enabling the participation of new technology players for making an optimal VPP solution and bring more competition and innovation on the VPP market. With reduced initial investment needed, end users (prosumers) are more likely to participate in Demand Response Management (DRM) programs, at the same time achieveing the savings estimated at 5-10 % of the total electricity costs. Existing and evolving VPP suppliers are considered customers, rather than competition. By addressing several additional business cases (aggregators, OEM for EMS suppliers, transmission and distribution system operators), we increase market potential for ITI. Designed, using knowledge and expertise, gained from development and demonstration of INEA's complete VPP product, ITI contains state-of-the art technologies and concepts for VPPs of the future. Open Top and Open Bottom functionalities make ITI compatible with wide range of existing and evolving VPP and EMS solutions. During Phase 1 we plan to assess defined use and market cases and specify additional functional and technological requirements for ITI exploitation.

Keywords: smart grid ems energy management system virtual power plant dsm demand side management