Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Regaining health through Salmon discards (Salmino)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Nowadays, there's an increasing interest from consumers for protein-rich foods and protein supplements, particularly from certain segments of the population requiring an enhanced muscle/metabolic recovery (elderly suffering from sarcopenia, sport practitioners, cancer patients...). However, protein digestion is slow, long and energy consuming. As a result, the expected health/muscle benefits from protein intake take too long to be perceived. Protein hydrolysates instead, deliver the protein "pre-digested" so that it can be readily absorbable and released into the bloodstream, however this is often not the case with protein hydrolysates on the market, which take too long to be absorbed (their degree of hydrolysis/"pre-digestion" is low so product is closer to intact protein) and their efficacy is not backed by clinical studies. We, Zymtech Life Sciences AS, have developed a natural process (2 patent families) to transform salmon off-cuts (“waste”) into a nutritional supplement (called AMIZATE®) that incorporates all the amino acids, in balanced proportions, that actually match those found in human body proteins. As a result, Amizate provides a source of free form amino acids, short chain peptides and nutrients that are absorbed by the human body 50% faster than any other protein supplement. In contrast to most protein supplements on the market, Amizate has been clinically tested and proven to play a crucial role in patients recovering from illness and surgery, malnutrition, fostering healthy ageing and improving performance in sports practitioners. Amizate will enable a fast recovery to all those individuals weakened by disease, sarcopenia or strenuous exercise, will be a preventive solution that will be able to alleviate costs for the healthcare system from other stronger medications and/or treatments. This project will allow to recover in just three years 940 tons from the waste streams of the salmon processing industry to be upcycled for human nutrition

Keywords: protein,upcycling,patient,salmon
Process engineering for sustainable recovery of valuable metals by ELECTRO-IONometallugy (ELECTROION)

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: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-07-01
End date: 2023-06-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Current process methodologies for mineral and metal processing depend on a significant amount of energy, which is mostly produced by the combustion of fossil fuels. The mass flow and energy efficiencies of these processes are poor, leading to a large volume of solid, liquid and gas waste residues. Although, transition to low-carbon technologies is essential to combat climate change, this will also lead to an increasing demand for strategic minerals/metals. Consequently, if we continue using conventional technologies, high operational cost and rise in CO2 emissions can be expected. In this context, ionometallurgy may provide more efficient and selective processing opportunities, as it makes use of ionic solvents to process metals. ELECTROION will use the so called deep eutectic solvents (DESs), which are mixtures of salts such as choline chloride with hydrogen-bond donors such as urea. These are environmentally benign and the components are already produced in large quantities at low cost. Previous studies have already demonstrated the capability of DES to dissolve metals from a variety of raw materials. Due to their high ionic strength, they also allow the recovery of metals from the solution by electrochemical methods. Hence, the integration of mineral dissolution and metal recovery in ionic solvents can significantly improve space-time yields. Yet, the properties of DESs may be compromised over time, which may inhibit their reuse/recyclability. Also, the effect of oxidising agents on the electrochemical stability of the ionic solvents have not been studied yet. Techno-economic analysis shows that the use of DESs is very reliant on efficient recovery of the liquid. The project will focus on efficient digestion and recovery of all of the economically important streams in the process with the aim of creating a closed loop for the winning and recycling of elements. This new knowledge is vital for the whole closed loop manufacturing chain.

Keywords: ionometallurgy,deep eutectic solvents,green chemistry,sustainable metallurgy,process design,electrocatalysis
Algorithmic complexity of structures and their equivalence relations (ACOSE)

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: Mathematics
Countries involved: Austria,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 252349.44
EU funding (EUR): 252349.44
Participants: 2
Project status: SIGNED

We will investigate the algorithmic complexity of mathematical structures and its connection with notions of complexity studied in descriptive set theory at. The main subject area of the planned research is computable structure theory — an area of logic concerning itself with the computational complexity of countable mathematical structures. Mathematicians usually consider structures up to some equivalence relation. For example, a number theorists works in the standard model of arithmetic, the natural numbers with addition and multiplication, but it is of little interest to him whether he works in the canonic representation or in some isomorphic copy as this does not impact his work. However, for computational matters the choice of representation is highly important. Therefore one usually measures the algorithmic complexity of a structure by its degree spectrum, the set of Turing degrees of structure equivalent to the structure under a given equivalence relation. Degree spectra are the main subject of investigation in computable structure theory. A natural way to think of degree spectra is as sets of subsets of the natural numbers, and these sets are studied in descriptive set theory. So far the relation between the descriptive complexity of a set and whether it can be a degree spectrum under a given equivalence relation has been overlooked. The goal of this project is to relate the descriptive complexity of sets with their realizability as degree spectra under some equivalence relation. We plan to obtain new results and develop new techniques which will be beneficial to both descriptive set theory and computable structure theory and hope to form a lasting connection between those fields. The fellowship will be carried out over 36 months, 24 months at the University of California, Berkeley under supervision of Prof. Antonio Montalbán and 12 months at TU Wien under the supervision of Professors Ekaterina Fokina and Matthias Baaz.

Keywords: computability theory descriptive set theory
Circular Economy applied to LI-ION batteries for smart electric mobility in cities (CELION)

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 in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Recycling of automotive Li-ion batteries is complicated and not yet established because few End of Life (EoL) batteries will need recycling for another decade. Currently, re-using Li-ion batteries in 2nd-life applications is not as simple as removing a battery from a vehicle then installing it directly into a stationary system. Before a battery can be reused, it first must be manually removed from a vehicle and the pack disassembled into individual cells that must be tested to determine the battery’s state of health (SoH), sending batteries without sufficient remaining capacity to be recycled. Even within the batteries suitable for reuse, cells must be sorted by similar remaining capacity, or else the 2nd life system performance would suffer. Thus, there are still clear technological, environmental and social needs in the field of reconditioning and reuse of existing Li-ion batteries of electric and hybrid cars within the small Electric Vehicles (EV) sector. They must be satisfied to get a smooth transition towards e-mobility model. Under this scenario, ALBUFERA has developed an innovative Business Model (BM) based on circular economy principles capable to place on the market a set of 5 new products & services: 1) Technical advisory services for 1st life batteries (1) (Customer: Large EV manufacturer); 2) Supply of 2nd life batteries for electric motorcycles (2), electric bicycles (3) and golf carts (4) (Customer: small EV manufacturer) and O&M services and 3) supply of recycled materials of useless 2nd life batteries (5) (Customer: recycling companies). For that, the main objective of CELION “Circular Economy applied to LI-ION batteries for smart electric mobility in cities” is to know better both qualitatively and quantitatively the main limiting factors (technical, economic, environment and social) related to the development of a new generation of 2nd-life batteries for minor e-mobility applications through the development of an feasibility study.

Keywords: lithium ion li ion,battery,circular economy,levelized cost of storage lcos,electric vehicle ev,end of life eol,operation and maintenance oandm,recycling,reuse,reconditioning
HEALTHY TAKE-AWAY ON SUBSCRIPTION - delicious, organic, plant-based food in season whenever you need it. To promote good health of the European Union’s population. (SIMPLE FEAST)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Denmark
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The overall project will focus on to get healthy food on the table in a way that offers more convenience and quality than existing services provide today. Today, it’s a lot more convenient to eat unhealthy food because fast-food and processed food is readily available everywhere providing unparalleled convenience. To solve for this enormous problem, you must create an offering that makes it more convenient to eat healthily than the opposite and that demands a solution that 1. Knows exactly who you are and can provide you with a personalized and scientifically backed up meal plan that will help you cook great, relevant food on the days where you have the time to cook and 2. A solution that delivers ready-made, scientifically backed-up healthy meals delivered to you in on the days where you don’t have the time to cook. The feasibility study will accomplish the following desired outcomes: • Market analysis and validation of our subscription-based food delivery service, offering healthy, 80%-100% plant-based organic dishes cooked by chefs in Denmark • The SME instrument program will enable Simple Feast to take our 8 dishes to market as ready-to-order and delivered dishes. • Successful launch of our product in Denmark with input from users through marketing events in Q2 2017, to get feed-back from our end-users Our service will disrupt the current market players (both meal-kit and take-away markets), by creating a new chef-prepared food delivery paradigm that will bring unprecedented convenience and healthy, nutritional meals tailored to your needs/ preferences. Simple Feast Real Food project wants to seize the market opportunity, in an underserved market by offering a healthy and convenient food delivery service. With our organic take-away subscription service, we want to provide a convenient alternative to meal kit services, and a healthy and organic alternative to take-away.

Keywords: intelligent digital platform,healthy food,plant based food,organic,take away on subscription,promotion of healthy living,sustainable life style,convenience
Vision and Roadmap for European Raw Materials (VERAM)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Coordination and support actions
Countries involved: Germany,Italy,Italy,Italy,Germany,Spain,Belgium,Belgium,Finland,France
Call: Raw materials research and innovation coordination (H2020-SC5-2015-one-stage, 2015)
Start date: 2015-12-01
End date: 2018-05-31
Duration (months): 30.0
Total project cost (EUR): 1431498.75
EU funding (EUR): 1431498.75
Participants: 13
Project status: CLOSED

VERAM aims to provide an umbrella and coordination function for the raw materials related research and innovation activities across the relevant ETPs and their national technology platforms (while maintaining the flexibility and individual visions of each ETP network) as well as related other stakeholders across the raw materials value chain in order to increase synergies and facilitate uptake of research results and innovation across the sectors and their value chains. The project will encourage capacity building as well as transfer of knowledge and innovation capability. It will coordinate the network of people involved in the different Horizon 2020 and other projects and initiatives and will provide a platform for identifying gaps and complementarities and bridge these. We will also advise the European Commission and national governments of future research needs and tools to stimulate innovation and assist in overcoming the fragmentation in the implementation of the EIP on RM SIP. We will look for mutually beneficial information exchange, encourage cross-fertilization between actions undertaken by different raw material industries and will speed-up exploitation of breakthrough innovations. The final result of the activities will be a common long term 2050 vision and roadmap for the relevant raw materials, including metals, industrial minerals and aggregates and wood. The following main deliverables are foreseen as major project results: • Deliver a mapping of on-going initiatives in the field of raw materials at the EU and Member States level as well as regional and local levels, both from the R&I and policy side. The mapping will also consider other international initiatives. • Propose a 2050 roadmap/research agenda for raw materials in coordination and cooperation with all stakeholders across the value chain, based on a comprehensive gap analysis while paying close attention to the specificities of critical industrial sectors as well as possible synergies.

Keywords: 2050 roadmap for raw materials research and innovation,randi coordination
Boosting innovative DIgitech Value chains for Agrofood, forestry and environment (DIVA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Innovation actions
Countries involved: Spain,Ireland,Spain,Italy,Italy,Greece,France,Portugal,Portugal
Call: Cluster facilitated projects for new industrial value chains (H2020-INNOSUP-01-2017-twoStage, 2017)
Start date: 2018-04-01
End date: 2021-03-31
Duration (months): 36.0
Total project cost (EUR): 4165586.14
EU funding (EUR): 4028823.64
Participants: 13
Project status: CLOSED

In the wake of the Digitising Europe Industry initiative, the DIVA project aims at providing support to the emergence and development of new industrial digitech value chains with applications to the Agrofood sector and related sectors forestry and environment. The focus is on digital marketplaces, big data, cloud, robotics & artificial intelligence, cyber-physical systems, IoT and digital/electronic/photonic components. These new technologies bring new perspectives, either to fulfil existing needs from applications sectors or to imagine new services and products. This particularly fertile framework is favourable to cross-sectorial fertilisation between digital industries, applications sectors and other emerging industries such as creative, experience industries, etc. The DIVA project concept relies on the creation of open-spaces in order to boost cross-fertilisation between SMEs, stakeholders from the application sectors and operators of the digital economy. Direct and Indirect support to SMEs will be provided in order to accelerate new ideas all along the innovation chain, from idea emergence up to the demonstration and the internationalization stages with a focus on the creation of new value chains. The consortium of the DIVA project is composed of 10 partners from 6 countries (France, Spain, Portugal, Italy, Greece, Ireland) representing 9 European regions, all strongly involved in digitising initiatives for Agrofood, forestry and environment.The partnership combines skills and competences of both digital and application sectors, and in order to join the capabilities of clusters and RTD performers. The partners and the actions planed in the DIVA project will be anchored in the regional contexts with an expected leverage effect with RIS3 axis actions, and with an ambition towards value creation at the EU level.

Keywords: agrofood,forestry,environment,digital,ris3
Quantum Artificial Neural Networks with Tensor Network Algorithmus (Q-ANNTENNA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-01
End date: 2019-03-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

During the recent years, modern machine learning (ML) has sparked a revolution in areas so diverse as computer vision, voice recognition, medical diagnosis and finance. On its own, quantum information processing (QIP) has also gained tremendous momentum and a novel field, quantum machine learning (QML), has emerged from the intersection of the two disciplines. Interestingly, much of the understanding underlying the last revolution of ML is strongly connected to insights gained from condensed matter and statistical physics. It is then natural to use well-understood techniques to describe quantum many-body systems, namely, tensor networks (TN) in the context of ML. The objective of Q-ANNTENNA is to develop a thorough understanding between ML processes and TN. The action will involve state-of-the-art theoretical research at the frontiers of QIP, TN and ML: (1) describing ML processes within the TN formalism, (2) importing TN insights into ML, (3) studying the renormalization process and (4) assessing physical implementations. The experienced researcher, Dr. Jordi Tura, is an expert in QIP in many-body systems. The supervisor, Prof. J. I. Cirac, is a world-expert in QIP, TN and quantum computation, head of the Theory division of the Max Planck Institute of Quantum Optics (MPQ) since 2001. The combined expertise between the fellow and the host is uniquely suited to establish Q-ANNTENNA as a ground-breaking framework for understanding the connections between QIP, ML and TN. The action has a tremendous potential impact onto industry and prospects for patents are likely. In addition, it will contribute to EU’s excellence in QML research, where North America is leading industrial and scientific efforts –by far. The action will greatly increase the applicant’s mobility within EU, create a large network of collaborators for him and MPQ and shape his future career options, with the long-term goal of becoming an independent scientist and establishing his own research group.

Keywords: quantum machine learning,tensor networks
Synergy and antagonism of cholinergic and dopaminergic systems in associative learning (CholAminCo)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Hungary
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-05-01
End date: 2023-10-31
Duration (months): 78.0
Total project cost (EUR): 1499463.0
EU funding (EUR): 1499463.0
Participants: 1
Project status: SIGNED

Neuromodulators such as acetylcholine and dopamine are able to rapidly reprogram neuronal information processing and dynamically change brain states. Degeneration or dysfunction of cholinergic and dopaminergic neurons can lead to neuropsychiatric conditions like schizophrenia and addiction or cognitive diseases such as Alzheimer’s. Neuromodulatory systems control overlapping cognitive processes and often have similar modes of action; therefore it is important to reveal cooperation and competition between different systems to understand their unique contributions to cognitive functions like learning, memory and attention. This is only possible by direct comparison, which necessitates monitoring multiple neuromodulatory systems under identical experimental conditions. Moreover, simultaneous recording of different neuromodulatory cell types goes beyond phenomenological description of similarities and differences by revealing the underlying correlation structure at the level of action potential timing. However, such data allowing direct comparison of neuromodulatory actions are still sparse. As a first step to bridge this gap, I propose to elucidate the unique versus complementary roles of two “classical” neuromodulatory systems, the cholinergic and dopaminergic projection system implicated in various cognitive functions including associative learning and plasticity. First, we will record optogenetically identified cholinergic and dopaminergic neurons simultaneously using chronic extracellular recording in mice undergoing classical and operant conditioning. Second, we will determine the postsynaptic impact of cholinergic and dopaminergic neurons by manipulating them both separately and simultaneously while recording consequential changes in cortical neuronal activity and learning behaviour. These experiments will reveal how major neuromodulatory systems interact to mediate similar or different aspects of the same cognitive functions.

Keywords: neuromodulatory systems,dopamine,acetylcholine,rodent cognition,learning,optogenetics,electrophysiology,computational modelling