Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Diagnosis test for immuno-oncology therapies. (IMMUNOTRAP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-09-01
End date: 2020-02-29
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Cancers exhibit a large heterogeneity in terms of genetic mutations, so they respond differently to the same drugs. This is why oncology is rapidly drifting towards treatments with new disrupting personalised inmuno-oncology therapies based on adoptive T-cell transfer (ACT). These therapies aim at selecting the most efficient T cells against tumors and transferring them back to the patient. This kind of Immunoassays are generally carried out with endpoint measurements like Surface Plasmon Resonance or Flow Cytometry. However, these techniques do not allow assessing the binding process between the immune and the target cell, which represents a fundamental step of the recognition phase where large efforts against cancer focus. IMPETUX has developed a solution to address this unmet need. The characterization of this affinity will be achieved through the measurement of the interaction force between them with IMMUNOTRAP: a platform for cell screening based on IMPETUX‘s optical tweezers. This technology uses a highly-focused laser light to mechanically interact with the sample without physical contact. The recent 2018 Nobel Prize in Physics was awarded to the intellectual father of this technique for his ground-breaking invention in the 1980s. However, it was not until few years ago that forces could start being measured on non-homogeneous samples, such as cells, thanks to the technology developed by IMPETUX. The IMMUNOTRAP has the potential to become the workhorse in the screening of the best performance receptors for their use in immunotherapies and offers IMPETUX the opportunity to address a high-growth potential market: the pharmaceutical industry and clinical diagnosis. It represents, therefore, a key opportunity to boost the company’s growth. Thus, the objectives of the present innovation project is precisely to confirm the potential of the proposal to create value and to identify the most suitable marketing and commercial routes for a successful market entry.

Keywords: immuno oncology,immunotherapies
Rewriting and (Re-)Framing Memory in Late Medieval Historiography. The Case of Brabant (14th-15th c.) (ReFraMed Histories)

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-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: CLOSED

This project will investigate how medieval historiographers employed a range of rewriting strategies to reproduce and subvert narratives of social order and dissent and constructed complex and fluid group identities. The ability of chroniclers to influence the sociopolitical views of their imagined audiences,makes them, in collusion with their patrons, into powerful opinion makers with the ability to reshape social reality. The case study that will be developed here is that of the medieval duchy of Brabant in the Low Countries. Its longstanding and coherent historiographical tradition will facilitate the comparative analysis of the social and political discourses propagated by a number of well-know and anonymous chroniclers over a period of nearly two centuries. Point of departure will be the social and political views of Jan van Boendale, municipal clerk of Antwerp and author of a considerable oeuvre of historiographical and didactic texts. This project will demonstrate how Boendale’s work was reframed by subsequent scribes/authorsto better suit the needs and expectations of new political and social circumstances. Alongside other less canonical texts, this research will present a first in-depth investigation of the 'Livre des cronicques', a compilation of Middle Dutch historiographical texts, translated into French by Jean d’Enghien and dedicated to the Duke of Burgundy. Not only will the project's approach along the lines of narrative theory offer new perspectives on the dynamics of medieval textual culture and pre-modern modes of historiography, it will also yield new insights in processes of transculturation and the importance of languages in the construction of group identities. More generally, results will be of interest to literary scholars, researchers in political theory, historiography and social sciences. The project's engagement with multilingualism and complex identities in composite states is particularly relevant to the Europe of the regions

Keywords: historiography,low countries,conflict,social identity,urban identity,burgundy,brabant,narrative theory,reframing strategies,discourse analysis,new philology
Training school on entrainment in offshore wind power (Train2Wind)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany,Switzerland,Norway,Denmark,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-02-01
End date: 2024-07-31
Duration (months): 54.0
Total project cost (EUR): 4233354.48
EU funding (EUR): 4233354.48
Participants: 5
Project status: SIGNED

TRAIN2WIND is a PhD TRAINing school analysing enTRAINment in offshore WIND farms with computer models and experiments. By its very nature, a wind turbine extracts energy from the wind, which is replenished from the wind field on the sides and above due to the ambient turbulence. However, offshore the turbulence is lower, and wind farms are typically larger than onshore, therefore the wind can only be replenished from above in a process called entrainment. TRAIN2WIND will investigate the entrainment process using advanced high-resolution computer modelling and wind tunnel models together with measurements of the wind field above, in and downstream of large wind farms, using lidars, radars, satellites and Unmanned Aerial Systems. Some of the largest operators of offshore wind farms will provide access to the data and the wind farms in order to investigate whether there is a limit to offshore wind power installation density coming from the refreshment of momentum in very large wind farms or clusters. For them, and for the government agencies currently preparing the Marine Spatial Plan for the European waters, updated knowledge of entrainment and the associated potential limits to wind power extraction offshore is paramount to avoid mis-allocation of tens of billions of euros when planning offshore wind farms too dense or too close. Besides the natural science package, one humanities PhD student will investigate the collaboration between the researchers from a social science and collaboration tools perspective. The project will not only train PhDs, it will also give shorter opportunities to fellows who just want to commit to one year at a time, thus training a total of 20 fellows.

Keywords: entrainment,offshore wind power,wind power,wind energy,wind farm,atmospheric boundary,layer,wakes,lidar,drones,rpas
Psychiatric Ratings using Intermediate Stratified Markers - Sofia ref.: 115916 (PRISM)

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: Italy,Germany,Spain,Germany,Belgium,Switzerland,Belgium,France,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Linking Clinical Neuropsychiatry and Quantitative Neurobiology (H2020-JTI-IMI2-2015-03-two-stage, 2015)
Start date: 2016-04-01
End date: 2019-09-30
Duration (months): 42.0
Total project cost (EUR): 16195875.0
EU funding (EUR): 8080000.0
Participants: 24
Project status: CLOSED

The current nosology of neuropsychiatric disorders allows for a pragmatic approach to treatment choice, regulation and clinical research. However, without a biological rationale for these disorders, drug development has dramatically stagnated in the past decades. In a coordinated effort encompassing academic experts, SMEs, patient and family organizations, regulators, ECNP and EFPIA partners, this project aims to develop a quantitative biological approach to the understanding and classification of neuropsychiatric diseases to accelerate the discovery and development of better treatments for patients. This project will concentrate on Schizophrenia (SZ), Alzheimer’s disease (AD), and Major Depression (MD), as these disorders share part of their symptomatology, in particular social withdrawal and certain cognitive deficits, such as deficits in attention, working memory and sensory processing. By applying innovative technologies (e.g. EEG, cognitive tasks, (f)MRI, smartphone monitoring, and (epi-)genetics) to deep phenotype a clinical cohort of SZ and AD patients combined with a wider analysis of existing clinical data sets from major European and global disease cohorts that also include MD, we will define a set of quantifiable biological parameters best able to cluster and differentiate SZ, AD, and MD patients that do, or do not, exhibit social withdrawal. First, by mining large European SZ, AD and MD cohort datasets with already available social and cognitive proxy measures, and, second, by obtaining objective measures of social exploration levels (using a novel smartphone application), phenotypic relationships with social and cognitive measures will be further tested. For instance we might predict that socially withdrawn individuals may have lower cognitive functioning and poorer clinical course compared to those who are more socially engaged.

Keywords: quantitative and systems biology,psychiatry,neurology,clinical network,patient cohorts,back translation,new drugs,alzheimer s disease,schizophrenia,major depression,pre clinical,imaging
Ratiometric FRET Based Nanosensors for Trypsin Related Human Recessive Diseases (2-NanoSi)

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: Spain,Spain
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2015-04-01
End date: 2016-09-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 101000.0
Participants: 3
Project status: CLOSED

The project aims to create a demo system for cost effective, non-invasive device for rapid detection of cystic fibrosis in humans. The detection of human recessive diseases has been dominated by the use of fluorescent biomarkers, based on organic dyes, helping researchers to study and analyse gene expression, cell cycle, and enzymatic activity. Among several proteolytic enzymes, trypsin has attracted much attention, as it is a target in the study of various important human recessive diseases including, for example, cystic fibrosis (CF). We present herein two colour encoded silica nanospheres (2nanoSi) for the fluorescence quantitative ratiometric determination of cystic in humans. Current detection technologies for cystic fibrosis diagnosis are slow, costly and suffer from false positives. The 2nanoSi proved to be a fast (minutes), a single-step and with two times higher sensitivity than the state-of-the-art biomarkers based sensors for cystic fibrosis, allowing the quantification of trypsin concentrations in a wide range (25-350 μg/L). Moreover, our approach can be used from the 4th day of life when the trypsin concentration is already the same as in adults. Furthermore, as trypsin is directly related to the development of cystic fibrosis (CF), different human phenotypes, i.e. normal (160-340 μg/L), CF homozygotic (0-90 μg/L), and CF heterozygotic (91-349 μg/L), respectively, can be determined using our 2nanoSi nanospheres. We anticipate the 2nanoSi system to be a starting point for non-invasive, easy-to-use and cost effective ratiometric fluorescence biomarker for recessive genetic diseases alike human cystic fibrosis.

Keywords: nanomedicine,health,nanomaterials,cistic fibrosis
Low Emissions Intensity Lime and Cement (LEILAC)

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,Australia,Switzerland,Belgium,Belgium,Switzerland,France,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Enabling decarbonisation of the fossil fuel-based power sector and energy intensive industry through CCS (H2020-LCE-2015-1-two-stage, 2015)
Start date: 2016-01-01
End date: 2021-06-30
Duration (months): 66.0
Total project cost (EUR): 20970635.0
EU funding (EUR): 11932231.0
Participants: 15
Project status: CLOSED

LEILAC, Low Emissions Intensity Lime And Cement, will successfully pilot a breakthrough technology that will enable both Europe’s cement and lime industries to reduce their emissions dramatically while retaining, or even increasing, international competitiveness. LEILAC will develop, build and operate a 240 tonne per day pilot plant demonstrating Direct Separation calcining technology which will capture over 95% of the process CO2 emissions (which is 60 % of total CO2 emissions) from both industries without significant energy or capital penalty. Direct Separation technology uses indirect heating in which the process CO2 and furnace combustion gases do not mix, resulting in the simple capture of high quality CO2. This innovation requires minimal changes to the conventional processes for cement, replacing the calciner in the Preheater-Calciner Tower. For lime there is no product contamination from the combustion gas. The technology can be used with alternative fuels and other capture technologies to achieve negative CO2 emissions. The project will also enable research into novel building materials with a reduced CO2 footprint, as well the upgrade of low value limestone fines and dust to high value lime applications. The high potential of the project is complemented by high deliverability. The requested grant will secure €8.8m of in-kind funding and support from the LEILAC consortium members, which include world leading engineering, cement, lime and R&D organisations. To accelerate further development, LEILAC will deliver a techno-economic roadmap, and comprehensive knowledge sharing activities including a visitor centre at the pilot site near Brussels. In order to reach the required 80% emissions reductions by 2050, CCS will need to be applied to 85% of European clinker production, and LEILAC is uniquely placed to allow Europe to achieve these targets in a timely, effective and efficient manner.

Keywords: direct separation calcining technology to eliminate carbon dioxide emissions from lime and portland cement manufacture at low capital and operating cost and minimal process change
Divide and Collect: Understanding Method in Plato (DICTUM)

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: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2019-05-31
Duration (months): 24.0
Total project cost (EUR): 208400.4
EU funding (EUR): 208400.4
Participants: 1
Project status: CLOSED

DICTUM (Divide and Collect: Understanding Platonic Method) is a research project that investigates the origins of the Western ideal of rational inquiry, Plato’s conception of dialectic. The project examines this conception under the hypothesis that, contrary to a near-consensus in present-day scholarship, Plato’s dialogues embody a unified understanding of dialectic. The experienced researcher tests this hypothesis systematically by minute philosophical analyses of Plato’s dialogues that will be supported by philological and historical considerations. Plato's conception of dialectic is central to his idea of philosophy and consequently to our understanding of Plato. His discussion of dialectic is also the first philosophical inquiry into the nature of method and central to large parts of the Western and Islamic philosophical traditions. Despite this, very few modern attempts to present a unified Platonic dialectic exist, a consequence of interpretative assumptions underlying the bulk of modern Plato scholarship. DICTUM will challenge these assumptions. The interpretation of Plato is important to classical scholarship in philosophy, philology, and history of ideas, as well as to contemporary philosophy concerned with dialectical inquiry. By challenging the interpretative assumptions underlying the now dominant picture of Platonic method, the project is likely to have a significant impact on these fields of study. The main hypothesis of DICTUM subsumes four sub-hypotheses (detailed in the project description), and each hypothesis will be tested in discussion with DICTUM's two supervisors. Four articles will treat of each sub-hypothesis and they will constitute the core of DICTUM's dissemination strategy; the project also includes an international conference on Platonic dialectic as well as workhops and lectures and public dissemination activities.

Keywords: platonic dialectic,platonic metaphysics,philosophical method,socratic dialogue
PRobabilistic PRedictIon for Smart Mobility under stress scenarios (PRISM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Denmark
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): 212194.8
EU funding (EUR): 212194.8
Participants: 1
Project status: CLOSED

PRISM is about designing, implementing and testing methodologies to better predict transport demand in a city. While plenty solutions exist today for this objective, there is general consensus that, under stress scenarios (e.g. large social events, inclement weather, demonstrations, special days), those approaches are insufficient. With new, smart mobility modes, demand prediction becomes even more important. For example, a one-way car sharing (e.g. DriveNow) or an autonomous mobility on demand service, are highly sensitive to rebalancing operations (moving vehicles to where demand is expected). In fact, bad demand predictions can lead to disastrous outcomes, by placing supply where it is not needed, and removing it from where it is required. PRISM approach is to combine latest research from Transport Engineering and Computer Science, by using Probabilistic Graphical Models (PGMs), a tool that combines Bayesian statistics, graph theory and scientific computing. As a research area, PGMs have already reached a considerable level of solid foundations, community size, and software tools. The Experienced Researcher (ER) has recently returned to Europe, after several years of research in Singapore and USA with the Massachusetts Institute of Technology (MIT), and this Marie SkŁodowska-Curie fellowship will be instrumental for his growth and affirmation in the Danish and European context.

Keywords: transport demand modeling,multi output machine learning,probabilistic graphical models
EDI-NET – The Energy Data Innovation Network; using smart meter data, campaigns and networking to increase the capacity of public authorities to implement sustainable energy policy (EDI-Net)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Market uptake of energy innovation
Action type: Coordination and support actions
Countries involved: Germany,Germany,Spain,Germany,United Kingdom
Call: Enhancing the capacity of public authorities to plan and implement sustainable energy policies and measures (H2020-EE-2015-3-MarketUptake, 2015)
Start date: 2016-03-01
End date: 2019-02-28
Duration (months): 36.0
Total project cost (EUR): 1558800.0
EU funding (EUR): 1558800.0
Participants: 7
Project status: CLOSED

The Energy Data Innovation Network (EDI-Net) will use smart energy and water meter data to accelerate the implementation of sustainable energy policy. It will do this by increasing the capacity of EU public authorities to act quickly and decisively. The capacity will be increased by the provision of just the right amount of intelligible information, by training and exchange of experiences of Public authorities and by provision of tools and support to implement and monitor their sustainable energy plans. To move beyond the traditional technical energy manager approach to use the information to engage with decision makers, finance mangers and building users. To make energy more “visible”. To make energy and water date “more exciting” to buildings users. Innovation in terms of using big data analytics to address issues at scale. Big data; thousands of EU public buildings; information for decision makers, finance managers and building users; benchmarking of EU public buildings; and monitoring implementation of Sustainable Energy Action Plans or local Climate Protection Plans. The core of EDI-NET is the analysis of smart meter data from buildings, from renewable energy systems and from building energy management systems (BEMS) using Big Data analytics technologies. The attractive fruit around this core is an online forum to spread knowledge and facilitate exchange of experience and best practice through peer to peer education in a friendly and useful way. The tree that supports and ripens the fruit is the existing European network of Climate Alliance that builds the capacity of EU public authorities to more effectively implement sustainable energy policies. We recognise the smart meter data, by themselves, will not implement sustainable energy policy. However, when combined with on-line discussion forum, local campaigns, awareness raising and peer to peer knowledge transfer it can achieve savings of between 5 and 15 percent; at least 16 GWh/yr, worth over 1.5 M€.

Keywords: smart meter data analysis