Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A novel drug candidate for the treatment of Eosinophilic Esophagitis - an innovative solution for a significant unmet medical need (theEoE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Portugal
Call: Supporting innovative SMEs in the healthcare biotechnology sector (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-12-01
End date: 2017-04-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Thelial Technologies, S.A. is a revenue generating drug discovery company that applies its unique, proprietary fly embryo-based technology to find new candidate compounds for the treatment of diseases that can be addressed by cell polarity modulation. By modulating cell polarity it is possible to specifically target a series of indications, where reduced integrity of epithelial cellular barriers is a key to pathologies. Using Thelial’s patented discovery platform theLiTETM the company has identified 28 candidate compounds, of which one – theEoE has been prioritized for further development based on toxicology, efficacy, bioavailability, IP and manufacturing decision points. theEoE will be the first approved product for treatment of Eosinophilic Esophagitis (EoE). EoE is an inflammatory disease of the esophagus elicited by foods and possibly environmental allergens. It occurs when a type of white blood cells, eosinophils, accumulate in the esophagus and persists, causing local injury and inflammation. Currently, there are no specific cure for the EoE, causing patients’ reduced wellbeing due to uncontrolled and persistent symptoms (e.g. high difficulty in swallowing, pain, nausea, regurgitation, and vomiting). Thelial offers a targeted topical treatment that reduces the clinical symptoms, modifies disease progression through tissue remodeling, and increases the duration of treatment response. These features will allow physicians, patients and payers to benefit from a revolutionary new treatment with fewer side-effects, and lower risk of health complications thanks to a better management of the disease over time. By promoting a first in line targeted therapy for EoE, Thelial’s innovation project perfectly fits the “Europe2020 challenges – for a healthier EU” 1) spending smarter but not necessarily more in sustainable health systems and 2) investing in people’s health, particularly through health-promotion programmes.

Keywords: eosinophilic esophagitis,orphan disease,rare disease,drug repositioning,topical treatment,cellular polarity,epithelial disease,cellular integrity
Strategic Energy Technology Plan 2016 – Central European Energy Conference X (SET Plan 2016-CEEC X)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: New knowledge and technologies
Action type: Coordination and support actions
Countries involved: Slovakia
Call: SET Plan Conference 2016 - Central European Energy Conference X (H2020-IBA-ENERGY-SETPLAN-2016, 2016)
Start date: 2016-06-01
End date: 2017-04-30
Duration (months): 11.0
Total project cost (EUR): 333332.5
EU funding (EUR): 249999.38
Participants: 2
Project status: CLOSED

The main objective of the project is the organization of the international conference “SET Plan 2016 - Central European Energy Conference X” during the presidency of the Slovak Republic in the second half of 2016. The SET Plan 2016 conference will be conjoined with the 10th annual Central European Energy Conference (CEEC X). The conference will aim to examine the process of accelerating the development and deployment of low-carbon technologies and creating the European Energy Union, focusing on the research and innovation strategy. Its ambition is to improve the visibility of the Strategic Energy Technology Plan and Energy Union, to identify policy options and priorities and to plan future actions. Based on that, the proposal stipulate these the main objectives of the SET Plan 2016 – Central European Energy Conference X: to examine achievements in the implementation of the Energy Union with a special focus on the role of its Research & Innovation dimension; to assess progress and evaluate the role of Central European member states in the implementation of the goals of the Energy Union within the other four priority dimensions of the Energy Union, including security of supply, creation of an integrated energy market, improving energy efficiency and reduction of emissions; to create a platform for a discussion, dialogue and networking for member states, civil society, business, science and academia, regional and local authorities and other stakeholders in the area of strategic energy technologies; to foster visibility and understanding of the Energy Union and the topic of Strategic Energy Technologies, and to disseminate information. Planned activities include plenaries and panel discussions with international keynote speaker, parallel thematic dinner sessions, side events, poster session and social events.

Keywords: set plan,low carbon technologies,transformation,energy union,research and innovation,conference,presidency event,slovakia
MANUfacturing ecoSystem of QUAlified Resources Exchange (MANU-SQUARE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: New sustainable business models
Action type: Research and Innovation actions
Countries involved: Israel,Italy,Italy,Italy,Italy,Switzerland,Norway,Switzerland,Switzerland,Latvia,Portugal,Portugal
Call: Business models and industrial strategies supporting novel supply chains for innovative product-services (H2020-NMBP-2017-two-stage, 2017)
Start date: 2018-01-01
End date: 2021-06-30
Duration (months): 42.0
Total project cost (EUR): 3956188.75
EU funding (EUR): 3956188.75
Participants: 14
Project status: CLOSED

The MANU-SQUARE project creates a European platform-enabled responsible ecosystem acting as a virtual marketplace, bringing available manufacturing capacity closer to production demand to achieve their optimal matching thus fostering, on the one hand, fast and efficient creation of local and distributed value networks for innovative providers of product-services and, on the other hand, reintroduction and optimization in the loop of unused capacity that would be wasted otherwise. In a wider perspective the MANU-SQUARE project pursues a paradigm shift that disrupts the traditional static supply chain model and establishes dynamic value networks that can be arranged on-demand to couple the needs of buyers and the availability of sellers of manufacturing capacity. In so doing, this latter becomes an easily and efficiently tradable commodity towards lowered production costs for European companies and improved manufacturing ecosystem actual productivity.

Keywords: marketplace,servitisation,resource efficiency,start ups
MUCKY: The circular solution for the valorisation of mixed municipal waste streams. (Mucky)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Netherlands
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In Europe, each year 250 Mton municipal waste streams (MWS) are produced of which about 55% is non-recyclable and currently dumped on landfills or incinerated. Current state of the art does not offer a solution for upgrading this deteriorated, low quality mixed waste streams without the need of intensive (pre)treatment. The main objective of the overall innovation project is to provide a technical solution, the Mucky, for turning mixed MWS into valuable linear hydrocarbons as a new resource for the chemical industry. The Mucky is not based on pyrolysis. Instead the uniquely dimensioned reactor of the Mucky allows controlled thermal cracking of the mixed waste into linear hydrocarbons up to 20 carbon atoms, giving syngas and solid minerals as side-products in a ratio of roughly 50 : 49 : 1. Landfilling of MWS gives a loss and incineration gives a value return of at best € 25/ton. The Mucky outperforms this by far, leading to an added value of around € 90/ton. The key market for the Mucky consists of all public and private municipal waste chain companies in Europe. The long term ambition of Bi-Energy is the conversion by Mucky of at least 50% of all carbon based, non-recyclable MWS, starting with the introduction of 100 Mucky installations in Europe before 2020. The total potential market consists of 51,500 Mucky units, each processing 2.5 ton of dry waste a day. In this feasibility assessment the final hurdles will be taken towards an Europe wide market introduction supported by convincing demonstrations of the Mucky installation at 10 representative locations. The final hurdles for establishing technical feasibility are obtaining an EU wide accepted certification and reducing manufacturing time and cost of the Mucky. The economic viability depends on solving legal issues, proving a favourable return on investment, creating a competent consortium for executing the Europe wide demonstration project, and writing a strong market implementation roadmap.

Keywords: waste conversion,thermal cracking,decentralised,mixed waste,linear alkanes,syngas,circular economy
PharmaLedger (PharmaLedger)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Public-private partnerships
Destination: Innovative Medicines Initiative 2
Action type: Research and Innovation actions
Partnership: IMI2 (Art-187)
Countries involved: Germany,Germany,Germany,Italy,Israel,Spain,Switzerland,Belgium,Belgium,Belgium,Greece,Belgium,Sweden,Greece,Romania,Romania,United States,Denmark,United Kingdom,United Kingdom,Portugal,Portugal,United Kingdom,United Kingdom
Call: Blockchain Enabled Healthcare (H2020-JTI-IMI2-2018-15-two-stage, 2018)
Start date: 2020-01-01
End date: 2022-12-31
Duration (months): 36.0
Total project cost (EUR): 22118324.75
EU funding (EUR): 8290693.75
Participants: 31
Project status: SIGNED

The PharmaLedger project will create a blockchain-based framework for the efficient digitization of the healthcare industry. The goal of the project is to provide a widely trusted platform that will support the design and adoption of blockchain-enabled healthcare solutions while accelerating delivery of innovation that will benefit the entire ecosystem, from manufacturers to patients. PharmaLedger will serve as a single source of truth for the healthcare ecosystem and will be designed for efficient decentralized governance, wide adoption by the stakeholders of the ecosystem, compliance with extant and emerging standards and regulation, and end-to-end connectivity and interoperability. Sustainability of the platform will be ensured by leveraging existing, successful blockchain technologies; open source reference implementation; and a fully documented, actionable methodology for evolutionary digitization of the healthcare industry. The project will address the key challenges of the healthcare ecosystem through prioritized delivery of applications and validation of business use cases, including but not be limited to end-to-end product tracking for combating counterfeit medicines and medical supplies; supply chain integrity; efficiency of recruitment and submission in clinical trials; and machine-learning health data marketplaces. The platform will support integrated use of medical devices across the use cases. The PharmaLedger project brings together 28 partners from 10 EU Member States, including 11 large pharmaceutical companies; highly innovative technology SMEs specializing in blockchain development, security, privacy and business intelligence; universities and research institutes specializing in pharmacoeconomic analysis, research of patient requirements, big data analytics and electronic health records; leading clinical trials companies; supply chain partners; patient representatives; and leading healthcare service providers.

Keywords: blockchain based framework,counterfeit medicines,clinical trials,machine learning health data marketplaces
Effective training of transferable skills related to open science and innovation for PhD candidates and early-stage researchers (DISCOVERY LEARNING)

Framework: Horizon 2020 — Science with and for Society
Programme: Make scientific and technological careers attractive to young students, and forster sustainable interaction between schools, research institutions, industry and civil society organisations
Action type: Coordination and support actions
Countries involved: Spain,Slovakia,Norway
Call: Research innovation needs & skills training in PhD programmes (H2020-SwafS-2020-1, 2020)
Start date: 2020-12-01
End date: 2022-05-31
Duration (months): 18.0
Total project cost (EUR): 346812.5
EU funding (EUR): 346812.5
Participants: 4
Project status: CLOSED

DISCOVERING LEARNING aims at creating new knowledge by experimenting towards Proof of Concept of a new model to implement a participatory, empowered and evolutionary work-based learning in PhD programmes for effectively training transferable skills related to open science and innovation; as well as building actionable knowledge for future scalability and sustainability of results and traceable lifelong learning. The final purpose is to build evidence (KPI) about what works in higher education for training transferable skills related to open science and innovation. For this purpose, DISCOVERY LEARNING model involves different players (academic and non-academic) and types of training (digital, gamified…), and taking advantage of blended learning to integrate non-academic environments and “experience-holders” (e.g. industry). It will be tested with a relevant portfolio of contents for training transferable skills related to open science and innovation, integrated into UIO Faculty of Mathematics and Natural Sciences PhD Programme. DISCOVERY LEARNING skill building model combines training methodologies (e.g. self-paced instruction, collaborative learning), focused into actual job tasks under an experience-based model. To make these concepts more actionable, they will be implemented starting from resources readily available from participant partners (particularly those related to previous projects having passed a successful proof of concept), complementing the activities with great expertise in career development. It will become an experimental arena for increasing our understanding around key issues such as fundamental skills for open science and innovation; technology-based game-changing paradigms for training; building actionable knowledge markets for practicebased skills; and tracetraceable lifelong learning and employability.

Keywords: effective training,transferable skills,open science and innovation,long life learning,adult learning
Enhanced Diesel Engine Control (EDEC)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Czechia
Call: Engine Control System (H2020-CS2-CFP04-2016-02, 2016)
Start date: 2017-06-01
End date: 2019-12-31
Duration (months): 31.0
Total project cost (EUR): 638823.75
EU funding (EUR): 506755.88
Participants: 2
Project status: CLOSED

Enhanced Diesel Engine Control (EDEC) project aims to develop modern Electronic Control Unit for new light weight and efficient jet-fuel reciprocating engine for general aviation. Application of diesel engines technology will lead to reduction of fuel burn by 50% to 65% compared to a small turbine engine, and by 30% to 50% compared with an avgas engine, leading to significant environmental effects and drastic reduction of operating costs. It will also lead to reduction of noise thanks to lower speed of rotation. In addition, proposed EDEC design aims to: - Bring highest level of safety/reliability; - Adopt modular design enabling flexible solution for wide range of users; - Introduce special regime with only half of engine cylinders running to further minimise fuel burn; - And research possibilities to use wireless data communication for maintenance purposes. Proposed EDEC project has ambition to introduce for the first time aerospace engine control unit using “control maps concept” to control and optimize engine operation in all modes. As such, it will be able at the same time optimize fuel burn, emissions and ensure safe changes of engine operating modes. Successful development of EDEC (for 6-cylinders jet-fuel reciprocating engine) will lead to significant increase in European share on the market of piston engines for general aviation, which is currently dominated by US companies. Proposed 6-cylinders engine well complements to smaller 4-cylinders diesel engines which enabled significant market success of European Diamond Aircraft. New engine has potential to dominate to the market of general aviation piston engines.

Keywords: aviation,engine,engine control,diesel,jet fuel
Cortical markers of L-DOPA-induced dyskinesias (CORLID)

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: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-15
End date: 2021-01-14
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Parkinson’s disease (PD) is a neurodegenerative disorder that affects about 1% of the population over 55. After more than 50 years, dopaminergic treatment is still the gold standard in PD therapy, although, as the disease progresses, several motor complications may arise. One of the most common and debilitating are known as L-DOPA-induced dyskinesias (LIDs), a condition that is observed in up to 80% of patients within five years of L-DOPA or dopaminergic agonists treatment. Although the exact neural mechanisms are still unclear, recent studies suggested that LIDs might be a consequence of an abnormal control of synaptic plasticity at cortico-striatal synapses. The target of this research project is to investigate the presence of cortical markers underlying the development of LIDs. This is a topic of critical relevance: if LIDs development would be predictable from previous cortical dysfunction, it will be possible to adjust the DA therapy, in terms of dose and duration, basing on the grade of LID risk. To this aim, we will use a novel multimodal approach consisting in combining different techniques of non-invasive brain stimulation with electroencephalography (EEG), electromyography (EMG), behavioral task and clinical evaluations. Specifically, the present project encompasses three studies that will investigate cortical dysfunctions at three levels: at a local level, by testing M1 reactivity and inhibitory circuits; at a network level, by testing M1 connectivity with the areas involved in LID development; and at a dynamic level, by testing M1 plasticity mechanisms. Two groups of PD patients, with and without LIDs, will be investigated and monitored with two clinical follow-ups to evaluate the presence/grade of LIDs. An age-matched group of healthy volunteers will be tested as control. The present project potentially have important clinical implications in understanding the cortical dysfunction underlying the development of LIDs.

Keywords: parkinson s disease,l dopa induced dyskinesia,plasticity,transcranial magnetic stimulation
Errors as cost-optimizing decisions? Redefining the origin and nature of human decision errors in light of associated neural computations (OPTIMIZERR)

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: France
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-05-01
End date: 2024-04-30
Duration (months): 72.0
Total project cost (EUR): 1497125.0
EU funding (EUR): 1497125.0
Participants: 1
Project status: SIGNED

Making decisions, from simple perceptual judgments to complex policy-making orientations, often requires to combine multiple pieces of ambiguous or conflicting information. In such uncertain conditions, human decisions exhibit a suboptimal variability whose origin remains poorly understood. Dominant psychological theories attribute the resulting errors to imperfections at the peripheries of an otherwise optimal inference process, and consider them essentially as failures of human cognition. Instead, my research program seeks to redefine decision errors not as cognitive failures, but as cognitive compromises which optimize a trade-off between the expected accuracy of a decision and the cost associated with neural computations required to reach this accuracy. I hypothesize that human decision errors arise to a large part from the limited computational precision of probabilistic inference, and that humans adapt this precision to the cognitive demands imposed by their environment - by increasing it when it is deemed necessary or decreasing it when they can rely on 'cheaper' sources of information to decide. I propose to test this original research hypothesis using a combination of computational modeling and multimodal functional neuroimaging of human decision-making. The degree of generality of the obtained findings will be assessed by bridging research across two types of decisions historically studied separately: perceptual decisions and reward-guided decisions. I will also test the clinical relevance of the hypothesized 'accuracy-cost' trade-off for two psychiatric conditions associated with dysfunctions of decision-making under uncertainty: 1. the emergence of false beliefs in schizophrenia, and 2. the repetitive checking behavior observed in obsessive-compulsive disorders. Together, the proposed research will shed light on previously unsuspected cognitive pressures which shape virtually every human decision, and identify associated neural computations.

Keywords: probabilistic inference,uncertainty,confidence,behavioral modeling,cognitive neuroscience