Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Novel Target for Treatment of Chronic Inflammatory Diseases (Notid)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-11-01
End date: 2020-11-30
Duration (months): 25.0
Total project cost (EUR): 3170983.75
EU funding (EUR): 2219688.63
Participants: 1
Project status: CLOSED

Lipum AB has discovered a novel target protein for treatment of chronic inflammatory diseases. We are now developing a biological drug that will inhibit the target molecule. We propose an entirely new therapeutic mode of action as an alternative to current therapeutics that do not provide adequate response in as much as 1/3 of patients. Our research and preclinical results indicate that our approach can be applied for treatment of an array of autoimmune and autoinflammatory conditions, and that the suppression of the patient immune system can be avoided, which otherwise is a common negative side effect limiting treatment options. Currently, Lipum is focused on delivering a humanised candidate drug. Our aim is to to reach a drug development phase where toxicology and safety tests can be started and establish collaborations needed to proceed with the clinical studies. Within the lifecycle of this project, Lipum will focus on providing preclinical evidence, securing IP and reaching out to partners interested in exploitation of our approach for the treatment of Rheumatoid Arthritis and Juvenile Idiopathic Arthritis. These are chronic and debilitating conditions that affect around 1% of adult population (RA) or thousands of children (JIA) worldwide. Both RA and JIA are important cause of disability and generate high costs of healthcare and lost productivityLipum AB is a Swedish SME founded in 2010 with the aim to bring to the market a new biological drug for chronic inflammatory diseases. An effective and safe alternative has been long expected by the millions of patients that struggle with chronic and debilitating conditions like Rheumatoid arthritis (RA), Psoriatic Arthritis (PsA), or Inflammatory Bowel Disease (IBD), and by the rheumatology opinion leaders that have been highlighting the unmet clinical need in this domain. Apart from the patients’ well-being and quality of life, chronic inflammatory diseases incur high social costs of healthcare and lost productivity.

Keywords: chronic inflammatory diseases,autoimmune,biological drug,inflammation,antibody,juvenile idiopathic arthritis,rheumatoid arthritis
Autonomous Robotic Surgery (ARS)

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: Italy
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-10-01
End date: 2023-09-30
Duration (months): 72.0
Total project cost (EUR): 2750000.0
EU funding (EUR): 2750000.0
Participants: 1
Project status: SIGNED

The goal of the ARS project is the derivation of a unified framework for the autonomous execution of robotic tasks in challenging environments in which accurate performance and safety are of paramount importance. We have chosen surgery as the research scenario because of its importance, its intrinsic challenges, and the presence of three factors that make this project feasible and timely. In fact, we have recently concluded the I-SUR project demonstrating the feasibility of autonomous surgical actions, we have access to the first big data made available to researchers of clinical robotic surgeries, and we will be able to demonstrate the project results on the high performance surgical robot “da Vinci Research Kit”. The impact of autonomous robots on the workforce is a current subject of discussion, but surgical autonomy will be welcome by the medical personnel, e.g. to carry out simple intervention steps, react faster to unexpected events, or monitor the insurgence of fatigue. The framework for autonomous robotic surgery will include five main research objectives. The first will address the analysis of robotic surgery data set to extract action and knowledge models of the intervention. The second objective will focus on planning, which will consist of instantiating the intervention models to a patient specific anatomy. The third objective will address the design of the hybrid controllers for the discrete and continuous parts of the intervention. The fourth research objective will focus on real time reasoning to assess the intervention state and the overall surgical situation. Finally, the last research objective will address the verification, validation and benchmark of the autonomous surgical robotic capabilities. The research results to be achieved by ARS will contribute to paving the way towards enhancing autonomy and operational capabilities of service robots, with the ambitious goal of bridging the gap between robotic and human task execution capability.

Keywords: robotic surgery,service robotics
Machine Learning in Disordered Photonics (MALDIP)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-06-01
End date: 2022-05-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

The field of disordered photonics has increased its importance immensely over past decades as it finds widespread application in several fields from biomedical imaging, to solar energy harvesting, paint, pigments, food and cosmetic industry. However, the current development of highly scattering materials is often hindered by lack of ways to quantitatively predict and model their structural morphology and photonic properties. This action aims to characterize disordered photonic structures made of organic materials by analyzing their 3D structures using Gaussian Processes (GP) based machine learning techniques in conjunction with numerical optical simulations. The inherent randomness in the 3D arrangement of disordered photonics, makes them both intuitively and theoretically ideal to be modeled with GP. The novelty of this action consist of using state-of-the art GP method not only analyze 3D structures, but also to reconstruct them from lower dimensional data, like 2D images and spectroscopic data. Moreover by using the quantitative GP descriptors, we are able both generate input models for numerical simulations and using the feedback iteratively update those models to optimize them for high scattering. We expect that the complementary expertise in characterization and computational methods of the Host and the Researcher will produce not only invaluable insights, but also practical tools to characterize, quantify and exhaustively model and optimize complex photonic structures.

Keywords: machine learning
Quantifying Quantum Gravity Violations of Causality and the Equivalence Principle (QUANTIVIOL)

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: Netherlands
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Quantum gravity must violate at least one of three principles at the foundations of physics: unitarity, causality, or the equivalence principle. Recent theoretical work on black holes has shown that such violations are not limited to extremely short distances, where quantum gravity effects are expected, but also occur at distances much larger than the Planck scale. This work has revealed a huge gap in our understanding: we have no working criterion for when quantum gravity violations of the usual laws of physics are important. This theoretical crisis is also an opportunity, since quantum gravity effects may be observable if they occur at longer distance scales. I propose a series of concrete calculations in two theoretical situations: ordinary black holes, which evaporate due to Hawking radiation, and black holes in spacetimes with negative cosmological constant, which do not evaporate. These calculations will quantify, for the first time, the size of these violations.The calculations make use of existing techniques and results derived by myself and others, but a focused effort is needed in order to put together all of the necessary ingredients into a coherent quantitative result. We will then generalize our results beyond black holes to obtain a generally applicable formula. The final result will be an answer to one of the most important questions in quantum gravity: how large are quantum gravity violations of the usual laws of physics? The impact of successfully completing this project extends far beyond black hole physics. As one application, our results will either justify existing calculations of cosmological observables, or make a prediction that quantum gravity effects can be observed.

Keywords: black holes
ENhance VIrtual learning Spaces using Applied Gaming in Education (ENVISAGE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Malta,Greece,Greece,Denmark
Call: Gaming and gamification (H2020-ICT-2016-1, 2016)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 1208125.0
EU funding (EUR): 1035250.0
Participants: 5
Project status: CLOSED

Online virtual labs, i.e. virtual spaces emulating real laboratories where students can accomplish a number of learning tasks, have the potential to revolutionize the educational landscape by providing students with distance courses and curricula that otherwise would be difficult if not infeasible to be offered. The objective of ENVISAGE is to offer a solution towards optimizing the learning process in virtual labs and therefore maximize their impact in education. In reaching this challenging goal, ENVISAGE proposes to migrate knowledge from the neighboring domain of digital games, where the capture and analysis of detailed, high-frequency behavioral data has reached mature levels in recent years. In digital games, Game Analytics (GA) is used to profile users, predict their behavior, provide insights into the design of games and adapt games to users. These mature technologies can be readily migrated to learning analytics, especially in the situation of virtual labs as these are delivered online thus enabling detailed tracking of learner behavioral data. Tracking and understanding behavioral data can facilitate decision-making at the design level of a lab, but also can allow for adapting learning content to the personal needs and requirements of students. ENVISAGE thus proposes a data-driven approach to solve the problems of designing, adapting, revising and evolving virtual labs. To this end, ENVISAGE will develop a high-level, easy to use authoring environment that integrates the above methodological paradigms allowing for designing and implementing high-standard virtual labs. The integrated ENVISAGE solution will offer social benefits, as through the enhancement of virtual labs it will permit easy and effective access to education and learning to the greatest part of community, and economic benefits, as due to its optimized operating level, it will be easily absorbed by educational organizations, offering SMEs the possibility to seize new business opportunities.

Keywords: game analytics,visual analytics,predictive analytics,game authoring environments,virtual labs,user behavior modeling,decision making
GRASS-BASED CIRCULAR BUSINESS MODELS FOR RURAL AGRI-FOOD VALUE CHAINS (GO-GRASS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive bio-based industries and supporting the development of a European bio-economy
Action type: Innovation actions
Countries involved: Germany,Germany,Spain,Spain,Germany,Belgium,Romania,Sweden,Sweden,Sweden,Hungary,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,Denmark,Denmark,Denmark
Call: Circular bio-based business models for rural communities (H2020-RUR-2019-1, 2019)
Start date: 2019-10-01
End date: 2024-03-31
Duration (months): 54.0
Total project cost (EUR): 10385222.5
EU funding (EUR): 9970772.5
Participants: 24
Project status: SIGNED

The main aim of the GO-GRASS project is to create new business opportunities in rural areas based on grassland and green fodder that will be demonstrated in four EU regions at small scale, ensuring its replicability all through the rural communities of the EU. Inside a circular system, GO-GRASS will provide a range of circular and sustainable business models with high replication potential, to be available to entrepreneurs and local authorities. The project will also demonstrate innovative cost-effective technologies, processes and tools applicable within the diverse DEMO scenarios (deploying demonstrators in different regions in EUas representative places to cover different rural contexts) considering social, economic and environmental circumstances in rural areas with the aim of achieving a large-scale replication, especially in remote areas with unexploited resources. Furthermore, the GO-GRASS project will help EU reducing imports from nutrients like P or even proteins, as well as the dependence from fossil fuels. Thanks to the GO-GRASS project, the Bioeconomy will be consolidated, harnessing regional assets, diversifying and revitalizing the economy and providing quality jobs and opportunities in rural areas. In addition, the production and use of bio-based products replacing existing fossil-based alternatives, such as fertilisers or plastic packaging, can make a considerable impact on the Agro-food systems greenhouse gases emissions at EU level. For achieving this aim, GO-GRASS consortium consists of a multidisciplinary team of 22 partners from 8 European countries (Germany, Spain, Denmark, Sweden, The Netherlands, Belgium, Romania and Hungary). The consortium is built around the four regional demos located in Germany , Denmark , The Netherlands and Sweden that integrate the multi-actor approach concept, with the expertise of multiple appropriate partners (farmers, research centres, technological companies),3 follower partners and other with transversal role

Keywords: rural development,bioproducts,circular economy,grass,new business
Technology to use any standard microscope for correlative imaging (CLS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Poland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-03-01
End date: 2019-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

An increasing demand for high-quality research forces a research community to find new ways of data acquisition. An important part of the scientific results is data acquired from imaging devices. Imaging using various types of microscopy and spectroscopy are the essential techniques used in many types of research in both academia and industry. Imaging of a single sample can be performed using a number of imaging techniques subsequently and the collected data can be correlated. Imaging devices used for correlative imaging are often very sophisticated and require very high initial investments, which most of the laboratories cannot afford. This results in very limited access to the correlative imaging techniques. We have developed and now provide a revolutionary product which allows researchers to use any microscope and any imaging technique for correlative imaging to help to understand and solve the scientific and industrial problems where microscopy is required. Our breakthrough solution fully integrates with the standard experimental and imaging workflows. Hence it doesn’t require any additional verification or validations prior to imaging. Correscopy enables you to get scientific insights which you could never get before. Correscopy is a game changer for the laboratories which want to use correlative imaging and could never afford it, and for those laboratories which wanted to use the techniques that were never available in the correlative microscopes. The global microscopy and spectroscopy market is worth more than 27 billion Euro and grows at CAGR of 5,6%. Moreover, the global market for microscope accessories is expected to grow at a CAGR of 6.5% from 2015 to 2020. We have established a clear timeline for commercialization and signed a number of agreements with partners to make this plan feasible. We have an interdisciplinary and dedicated team to make Correscopy and its products available on the market.
Biofuels through Electrochemical transformation of intermediate BIO-liquids (EBIO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Spain,Italy,Türkiye,Sweden,Norway,Netherlands
Call: Developing the next generation of renewable energy technologies (H2020-LC-SC3-2020-RES-RIA, 2020)
Start date: 2020-12-01
End date: 2024-11-30
Duration (months): 48.0
Total project cost (EUR): 3988603.75
EU funding (EUR): 3988603.75
Participants: 9
Project status: SIGNED

The availability of compact and cost-efficient solutions for sustainable energy production is essential for renewables to become Europe's dominant primary energy source. EBIO will contribute to achieve EU’s ambitious objectives, by providing an innovative technical solution for the sustainable and socially acceptable conversion of low value crude bio liquids, specifically fast pyrolysis oil and black liquor, into energy dense transport fuels. The core of EBIO is the electrochemical upgrading of liquefied biomass to stable and energy dense bio oils and further refinery co-processing to premium transport fuels. The former step consists of successive depolymerisation, hydrogenation and decarboxylation, optimised by developing electrode materials, cell designs, separation processes and efficient integration into existing biorefinery infrastructure. An efficient, compact and safe process will be developed, operating at mild conditions, and targeting a carbon yield from crude bio liquid to transport fuel above 60%. The experimental development is supported by a broad sustainability analysis including economic feasibility, environmental footprint and impact on society and rural development. EBIO will validate the new technology at lab-scale (TRL4), using an integrated approach covering the entire process, using variable feedstock, minimising separation costs, and increasing resource and carbon efficiency. The lab scale process developed will be the prototype for a future fuel production system serving as buffer for fluctuating electricity availability. Wide implementation of EBIO technology will lead to a decrease of at least 190 MtCO2 / year, and the production of at least 61 Mt biofuels/year, considering only pyrolysis oils and black liquor feedstock. The EBIO consortium provides complementary world class expertise along the entire value chain and strong industrial commitment to maximise wide exploitation of the results through industrial implementation.

Keywords: electrochemistry,bioliquids,biofuels,electrochemical upgrading,kolbe electrolysis,lignocellulosic biomass,compact,integration,cost effective,renewable energy,pyrolysis oil,black liquor
Commercialization of Wear3D - Wearable and 3D Display Technology (WEAR3D-POC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Türkiye
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2015-06-01
End date: 2016-11-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Wear3D display technology project is an ERC-Advanced project and offers novel optical solutions for wearable (or head-mounted) displays to achieve very wide field-of-view and natural-looking 3D. The Wear3D technology has a lot of potential as the global consumer market for Head Mounted Displays market was valued at USD 342.7 million in 2011, and is expected to reach US$9.3 billion by 2019. The Wear3D technology is very strong on IPR position and the initial results obtained in the lab are very promising. The objective of this proposal is to exploit the commercial potential of the Wear3D display technology. Such a display integrated with imagers and sensors is a breakthrough technology for the next generation human computer interface

Keywords: wearable devices,3d displays,head worn displays
A Place for the Asylum Seekers. European migration policies and their socio-spatial impacts (PASS)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-02-15
End date: 2020-02-14
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

In the past two years the European Union has seen an enormous influx of migration. More than 1 million people arrived by boats in 2015 and more than 230,000 people in the first six months of 2016. PASS aims to assess the complicated field of discourses and practices of regulating migration flows into the EU, focusing on its socio-spatial impact since 2013, when the last Dublin II Regulation was promulgated (No. 604/2013). On the one hand, the project analyses the very complex stratification of geographical spaces and procedures shaped by the EU and by different national legislation. On the other hand, the research also explores the interaction between the policies and procedures plan and experiences of migrants themselves, often characterized by tensions, resistance and clashes. After a preliminary analysis of EU immigration and asylum law, the project examines the cases of Italy and of the Netherlands. Italy is one of the countries which has seen the highest number of migrants arriving and from where 39,600 asylum applicants are to be relocated under the two EU Council Decisions on relocation to other Member States under a quota system. In the period between 2015 and 2017 about 2.150 refugees are to be relocated from Italy to the Netherlands (European Commission, COM(2016) 165). The project uses a dual perspective: 1. A top-down perspective, involved in the analysis of the European, Italian and Dutch immigration policies; 2. A bottom-up perspective, embedded in the migration experience and focused on the migrants' agentivity. The final goal of PASS is to elaborate empirical data in order to build more human rights oriented policies. PASS intends also to provide an appropriate political response to the needs expressed by the migrants and to combat misconceptions about them through disseminating its results, as requested by the European Commission (Understanding and Tackling the Migration Challenge: The Role of Research, 4-5 February 2016).

Keywords: migration,european policies,relocation,informal settlements,border,italy,the netherlands