Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Ultrasensitive BIOsensing platform for multiplex CELLular protein PHEnotyping at single-cell level (BIOCELLPHE)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Spain,France,Portugal
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2020)
Start date: 2021-04-01
End date: 2025-03-31
Duration (months): 48.0
Total project cost (EUR): 3577312.5
EU funding (EUR): 3577312.5
Participants: 9
Project status: SIGNED

BIOCELLPHE provides frontier scientific and technological advancements to generate a breakthrough technology realizing the identification of proteins (i.e. phenotyping) as diagnostic biomarkers at single-cell level with unmatched sensitivity, multiplexing capabilities and portability. BIOCELLPHE proposes the generation of engineered bacteria able to recognize and bind to specific protein targets on the surface of circulating tumor cells (CTCs) responsible for cancer metastasis, thereby triggering the production of chemical signals that can be detected simultaneously, and with extremely high sensitivity by surface-enhanced Raman scattering (SERS). SERS is a powerful analytical technique that employs plasmonic nanoparticles as optical enhancers for ultrasensitive chemical analysis achieving single-molecule detection level. BIOCELLPHE will implement these advancements toward the generation of an optofluidic lab-on-a-chip SERS device enabling ultrasensitive identification and multiplex phenotyping of CTCs. We anticipate that BIOCELLPHE long-term vision and scientific breakthrough will lead to a sky limit technology that will be widely applicable, not only in the diagnostic arena, but also in many other applications (e.g. biomedical, environmental). No one has previously been able to attempt this vision due to current challenges and technical limitations, but we believe to be in a position to pave a way for achieving this now. To realize this highly ambitious project, BIOCELLPHE gathers a highly multidisciplinary community of leading experts in synthetic biology, nanotechnology, plasmonics, microfluidics, artificial intelligence, and cancer diagnosis. We believe that successful deployment of BIOCELLPHE has the potential to usher in a new era of medical diagnostics and it will provide new paradigms in biology and biomedicine, advancing frontier science and technologies at the European academic and industrial sectors.
Spark-Tube Biobanking System (STBS) (SPARK-TUBE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Poland
Call: Supporting innovative SMEs in the healthcare biotechnology sector (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-09-01
End date: 2017-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Spark-Tube Biobanking System (STBS) was invented to make current complex methods of blood preservation and biobanking more efficient, robust and simplified. The need for such system unfolded when conducting research projects aimed at identification and validation of disease biomarkers in blood. There were two major limitations in the state-of-the-art blood-based biomarker diagnositcs, lack of technical solution allowing fully automated, high-throughput blood preservation combined with laborious and very expensive manual procedures. Given the limitations in currently available methodes, STBS thanks to its novel technology (separation of blood-fractions, long term-preservation, and banking) is expected to overcome the roadblocks in accessing blood preservation solutions and become universal biobanking platform. System will find wide application in medical diagnostics (including genetic biobanks), clinical drug trials, and clinical research. STBS is not only a high impact medical ‘tool’ but also a great business opportunity as it can be utilized in many different economical environments where cost effective solutions are necessary to change the social limitations of clinical blood processing.

Keywords: biobanking,blood,preservation,separation
SUrvey Network for Deep Imaging Analysis and Learning (SUNDIAL)

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: Physics
Countries involved: Germany,Italy,Spain,Spain,Italy,Belgium,Finland,Switzerland,France,France,Netherlands,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2017-04-01
End date: 2021-09-30
Duration (months): 54.0
Total project cost (EUR): 3602483.52
EU funding (EUR): 3602483.52
Participants: 15
Project status: CLOSED

Though Big Data has become common in many domains nowadays, the challenges to develop efficient and automated mining of the ever increasing data sets by new generations of data scientists are eminent. These challenges span wide swathes of society, business and research. Astronomers with their high-tech observatories are historically at the forefront of this field, but obviously, the impact in e.g. commercial applications, security, environmental monitoring and experimental research is immense. We aim to contribute to this general discussion by training a number of young scientists in the fields of computer science and astronomy, focussing on techniques of automated learning from large quantities of data to answer fundamental questions on the evolution of properties of galaxies. While these techniques will lead to major advances in our understanding of the formation and evolution of galaxies, we will also promote, in collaboration with industry, much more general applications in society, e.g. in medical imaging or remote sensing. We have put together a team of astronomers and computer scientists, from academic and private sector partners, to develop techniques to detect and classify ultra-faint galaxies and galaxy remnants in a deep survey of the Fornax cluster, and use the results to study how galaxies evolve in the dense environment of galaxy clusters. With a team of young researchers we will develop novel computer science algorithms addressing fundamental topics in galaxy formation, such as the huge dark matter fractions inferred by theory, and the lack of detected angular momentum in galaxies. The collaboration is unique - it will develop a platform for deep symbiosis of two radically different strands of approaches: purely data-driven machine learning and specialist approaches based on techniques developed in astronomy. Young scientists trained with such skills are highly demanded both in research and business.The duration of the project was originally 48 months, till 31/3/2021. An extension of 6 months till 30/9/2021 was granted. The project therefore last 54 months which is indicated in all related project activities

Keywords: computational intelligence,data mining,galaxy classification,big data,machine learning,learning with privileged data,probabilistic modelling,galaxy formation and evolution,image analysis
Cross-Linguistic Acquisition of Sentence Structure: Integrating Experimental and Computational Approaches (CLASS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Israel,United Kingdom,United Kingdom,United Kingdom,Guatemala
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2022-02-28
Duration (months): 66.0
Total project cost (EUR): 1600000.0
EU funding (EUR): 1329337.6
Participants: 5
Project status: CLOSED

How children acquire their native language remains one of the key unsolved problems in Cognitive Science. This project will answer a question that lies at the heart of this problem: How do children acquire the abstract generalizations that allow them to produce novel sentences, while avoiding the ungrammatical utterances that result from across-the-board application of these generalizations (e.g., *The clown laughed the man)? Previous single-process theories (the entrenchment, preemption and verb semantics hypotheses) fail to explain all of the current English data, and do not begin to address the issue of how learners of other languages solve this learnability problem. The aim of the present project is to solve this problem by developing and testing a new unified cross-linguistic account of the development of sentence structure. In addition to the overarching theoretical question set out above, the research will address four key questions: (1) What do learners bring to the task in terms of cognitive-semantic universals?; (2) How do children form linguistic generalizations in the first place?; (3) Why are languages the way they are; would other types of systems be difficult or impossible to learn?; (4) What is the nature of development?. These questions will be addressed by means of four Work Packages (WPs). WP1 uses grammaticality judgment and elicited production paradigms developed by the PI to investigate the acquisition of basic transitive and intransitive sentence structure (e.g., The man broke the window/The window broke) across six typologically different languages: English, K’iche’ Mayan, Japanese, Hindi, Hebrew and Turkish (at ages 3-4, 5-6, 9-10 and 18+ years). WP2 uses the same paradigms to investigate idiosyncratic language-specific generalizations within three of these languages. WP3 uses Artificial Grammar Learning to focus on the issue of language evolution. WP4 uses computational modeling to investigate and simulate development.

Keywords: child language acquisition,language development
Big Policy Canvas - Needs, Trends and ICT Tools for Advanced Data-Driven Public Sector (Big Policy Canvas)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Coordination and support actions
Countries involved: Germany,Spain,Belgium,Greece
Call: Policy-development in the age of big data: data-driven policy-making, policy-modelling and policy-implementation (H2020-SC6-CO-CREATION-2017, 2017)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 499725.0
EU funding (EUR): 499725.0
Participants: 4
Project status: CLOSED

The rapid transformations of our society to tackle the global challenges of our times, have posed a dire need for governments to profoundly change their modus operandi. As the long-standing e-Government goals of making services and data available online have faded, the new strategic direction evolves around an open and collaborative government model, based on the principles of effectiveness, efficiency, collaboration, transparency, participation and sustainability. In this context, Big Policy Canvas emerges to transform public sector to an effective, efficient, precise, consistent, and evidence-based policy making structure. Big Policy Canvas is designed in a methodical, scientifically sound and verifiable manner towards setting up the appropriate community and providing the necessary knowledge base and supportive material to be used by public sector bodies, practitioners and related stakeholders. Big Policy Canvas will deliver the necessary seeds for public sector organisations and related stakeholders to accelerate the transformation of the public sector through the identification and assessment of public sector needs and trends and an analysis and grouping of emerging methods, tools, technologies and applications, particularly examined from a big data oriented perspective, that hold the potential to disrupt the way the public sector nowadays operates. The mission of Big Policy Canvas calls on understanding and exploring both the technological and the socio-economic landscapes that will influence and will be influenced by advanced public sector performance, in order to guarantee not only the sustainability and effective utilisation of the solutions proposed, but also the nurturing of a more data-inspired, politically educated, smart and caring generation within and outside of the public sector boundaries that will work towards improving the overall life experience in Europe.

Keywords: web 3 0,big data,ict innovation,egovernment,policy modelling,data powered governance
UNDERSTANDING TRITROPHIC INTERACTIONS: PLANT-MICROBE-INSECT. ITS IMPLICATION ON INTEGRATED PLANT PROTECTION AND BIOLOGICAL NITROGEN FIXATION OF LEGUMES (TRITRONITRO)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-04-15
End date: 2021-04-14
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Biological nitrogen fixation (BNF) is one of the key agroecosystem services provided by legumes. Legume crops have a positive impact on the atmosphere and soil quality: i) by lowering emissions of greenhouse gases compared with other crops grown under mineral fertilisation and ii) by supporting BNF to the following crop when grown as components of crop rotations. This results in cost savings on synthetic fertilisers and fossil energy inputs in the system and on tillage, due to improved soil structure. However, factors such as insect attack, foliar disease and root microbial infection have a direct or indirect influence in reducing nitrogen fixation capacity and yield. Therefore, control of root-feeding organisms is essential for maximisation of nitrogen uptake by legumes. Conventionally, agrochemicals have been used to protect legume crops from pest and diseases, but their indiscriminate use has resulted in pest resistance and secondary pest resurgence, and they are detrimental to beneficial organisms for crop defence. The importance of driving reforms in response to the European commitment to sustainable agriculture and food production is directing my research interests towards a long-term mission that enables implementation of a new agricultural concept regarding food production that is safer for humans and the environment. The proposed project will use peas as a plant model to look for innovative strategies for reducing the dependence on chemical inputs, applying cutting edge technologies to leverage the use of beneficial soil microbes in the crop system. I suggest a pest management strategy to control nodule feeder insects by means of entompathogenic fungi (EPF). By exploring tritrophic interactions in plant-microbe-insect relations, this action seeks to evaluate whether EFP inoculated into legume crops can invade plant and nodule tissues, protect plants from pathogens and insects, influence BNF and affect the behavioural responses of aboveground insects.

Keywords: biological nitrogen fixation bnf,entomopathogenic fungi epf,endophyte,plant microbe insect interactions,obligate nodule feeder,tritrophic interactions
Disruptive innovation in healthcare requires disruptive innovation in medical ethics (DIME)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-02-01
End date: 2026-07-31
Duration (months): 66.0
Total project cost (EUR): 1273750.0
EU funding (EUR): 1273750.0
Participants: 1
Project status: SIGNED

Several recent medical innovations do not conform with the way medicine traditionally operates, but rather blur the boundaries of medicine and/or side-line the doctor-patient relationship as an essential aspect of healthcare. Examples of this are healthcare apps, direct-to-consumer genetic testing, disease surveillance, electronic patient records, telehealth and certain types of clinical decision support systems. I postulate that several of these new innovations will fundamentally change the very concept of medicine and thus turn out to be disruptive innovations. Given that medical ethics are tailored to ‘traditional’ medicine, we should be critical about its current ability to cope with these changes and question whether the discipline of medical ethics is sufficiently equipped to guide new, disruptive innovations in healthcare towards their great potential in terms of improving patients’ access to good quality healthcare, while also safeguarding patients/users for the risks that come with them, not only in terms of health, but also in terms of infractions against firmly rooted values such as patient autonomy, the duty of care, confidentiality or privacy. If the medical ethics toolbox is ill-equipped to deal with these challenges, we urgently need to rethink or replace procedures, principles or theories in order to remedy this problem. DIME will address these challenges by focusing on three main objectives: (1) To establish where the most prominent ethical disruptions are located and therefore in which areas re-orientations of ethical principles are most urgently needed. (2) To develop normative arguments regarding which fundamental procedures, principles or theories in medical ethics ought to be reinforced, adapted or replaced in the face of disruptive innovations to better cope with the challenges ahead. (3) To critically analyse the shifting moral responsibilities in healthcare as a consequence of disruptive innovations.

Keywords: medical ethics,medical innovation,disruptive innovation,responsibility
Smart Process Optimised Tool (SPOT), an Industry 4.0 world first approach for reliable and repeatable crimping and cutting hand tool technology (SPOT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-09-01
End date: 2019-11-30
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

There is an urgent market demand to eliminate the risk of human error and increase crimping accuracy, from the current 20-25% fail rate. This is particularly prevalent in the automotive and aviation sectors, for safety-relevant components such as airbags, brake systems and on-board electrical systems. In response, we have developed SPOT, an HMI, Industry 4.0 solution that improves process reliability to a 0% fail rate. SPOT contains a new state-of-the-art sensor technology, a patented force distribution system as well as an advanced intelligent central unit. These features enable the tool to perform an optimal force measurement and record the accuracy and quality of the crimp. Additionally, as we have miniaturised, a benefit is realised enabling crimping of extremely small wire diameters as well as high forces despite the manual operation. As a new generation of tool and with our IP position protected, we intend for SPOT to become the industry standard and pave the path for us to maintain our market leadership for decades, therefore, it is key for us to plan this market entry strategy carefully to ensure success is maximised. This feasibility study will allow us to: refine our market knowledge; plan our scale-up for manufacturing; finalise Phase 2 project partners and produce a fully elaborated business plan. As an Industry 4.0 evolution of hand tools, it is necessary for us at WEZAG to build up our internal knowledge for electrical engineering and electronics. This will be achieved via recruitment and training. However, with a legacy as an innovative company, we possess the know-how required to successfully develop, manufacture and market such world novelties and innovations. Having already proven TRL6, at Phase 2 we shall: finalise tool development; create a varying crimping tool group; prepare the technology for serial production; prove to the market the added value of SPOT USPs and demonstrate to the market the reproducible accuracy of SPOT.

Keywords: crimping,tool,industry 4 0,reproducible accuracy,increased safety,force distribution,sensors,automotive,aerospace
Innovative large-scale energy STOragE technologies AND Power-to-Gas concepts after Optimisation (STOREandGO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: Innovation actions
Countries involved: Germany,Italy,Germany,Germany,Germany,Italy,Italy,Italy,Austria,Italy,Germany,Germany,Italy,Germany,Switzerland,Switzerland,Switzerland,Switzerland,France,France,Netherlands,Netherlands,Netherlands
Call: Large scale energy storage (H2020-LCE-2015-3, 2015)
Start date: 2016-03-01
End date: 2020-02-29
Duration (months): 48.0
Total project cost (EUR): 27973369.75
EU funding (EUR): 17937358.63
Participants: 33
Project status: CLOSED

This proposal is an application to the EU programme “Horizon 2020” and its topic “Large scale energy storage” (LCE-09-2015). The presented project “STORE&GO” will demonstrate three “innovative Power to Gas storage concepts” at locations in Germany, Switzerland and Italy in order to overcome technical, economic, social and legal barriers. The demonstration will pave the way for an integration of PtG storage into flexible energy supply and distribution systems with a high share of renewable energy. Using methanation processes as bridging technologies, it will demonstrate and investigate in which way these innovative PtG concepts will be able to solve the main problems of renewable energies: fluctuating production of renewable energies; consideration of renewables as suboptimal power grid infrastructure; expensive; missing storage solutions for renewable power at the local, national and European level. At the same time PtG concepts will contribute in maintaining natural gas or SNG with an existing huge European infrastructure and an already advantageous and continuously improving environmental footprint as an important primary/secondary energy carrier, which is nowadays in doubt due to geo-political reasons/conflicts. So, STORE&GO will show that new PtG concepts can bridge the gaps associated with renewable energies and security of energy supply. STORE&GO will rise the acceptance in the public for renewable energy technologies in the demonstration of bridging technologies at three “living” best practice locations in Europe.

Keywords: power to gas concepts,lconvergence gas and electricity grid infrastructure,biological and catalytic methanation,reduction of co2 by multi usage,green co2,market uptake measurements