Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Temporal Structure of Perception and Neuronal Stimulus Processing (TeSP)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-05-01
End date: 2021-11-30
Duration (months): 36.0
Total project cost (EUR): 239860.8
EU funding (EUR): 239860.8
Participants: 2
Project status: CLOSED

Conscious stimulus perception in humans operates on time scales differing across sensory modalities. At the brain level it remains unknown if the temporal structure of stimuli from different sensory modalities is processed fundamentally differently, or if sensory input from different sensory modalities is sampled similarly. Neuroscientific evidence shows that neuronal oscillatory activity in sensory cortices is crucial for the conscious temporal perception of sensory stimuli by defining discrete perceptual cycles which discontinuously determine temporal perception. However, it remains inconclusive if the neuronal correlates of this discrete sampling mode differ across sensory modalities. The present proposal addresses this question by investigating temporal perception in the visual and tactile domain by means of MEG and ECoG measures of neuronal activity and the analysis of oscillatory and arrhythmic brain activity patterns. The findings provide an understanding of the temporal structure of neuronal stimulus processing, which will be implemented in clinical research. Within the scope of the Global Fellowship, the applicant aims to visit a partner organisation at the New York University, which is internationally renowned for neuronal processing of visual stimuli and the analysis of arrhythmic brain activity. Since the applicant exhibits an expertise on the neuronal processing of tactile stimuli and the analysis of oscillatory brain activity, the expertise of the partner organisation perfectly matches the applicant’s skills. By acquiring these novel capabilities, the applicant will exhibit all skills necessary for a holistic analysis of neuronal information processing, thus significantly increasing his future career chances as an independent researcher. Since the research on neuronal stimulus processing is a critical component for the fundamental understanding of the human brain, this action will greatly increase the European expertise in the field of neuroscience.

Keywords: tactile perception,visual perception,conscious perception,perceptual temporal resolution,perceptual cycles,ecog,neuronal oscillatiory activity,arrhythmic neuronal activity
Education for Data Intensive Science to Open New science frontiers (EDISON)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Support and infrastructures
Action type: Coordination and support actions
Countries involved: Germany,Italy,Germany,Spain,North Macedonia,Norway,Netherlands,United Kingdom
Call: New professions and skills for e-infrastructures (H2020-INFRASUPP-2015-1, 2015)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 10
Project status: CLOSED

The EDISON project will focus on activities to establish the new profession of ' Data Scientist', following the emergence of Data Science technologies (also referred to as Data Intensive or Big Data technologies) which changes the way research is done, how scientists think and how the research data are used and shared. This includes definition of the required skills, competences framework/profile, corresponding Body Of Knowledge and model curriculum. It wil develop a sustainability/business model to ensure a sustainable increase of Data Scientists, graduated from universities and trained by other professional education and training institutions in Europe. To achieve this, EDISON will work with the major Data Science stakeholders from academic, research communities and industry, as well as with the professional community to help them to obtain proper education and training and/or formal certification for already practicing self-made Data Scientists, grown from the advanced research projects who want to build a new career in Data Science. Consistent Data Science education and professional training requires besides theoretical knowledge access to real scientific data infrastructure and real large data sets to acquire practical experience and develop data centric thinking. For this, EDISON will leverage on EGI infrastructure and community/activities, as well as products from the APARSEN project, to create a supporting infrastructure for Data Science education and training that will include both example datasets and virtual labs which will allow the students or trainees to work with real data sets, infrastructure and tools. EDISON will facilitate the establishment of a Data Science education and training infrastructure at major European universities by promoting experience of 'champion' universities involving them into coordinated development and implementation of the model curriculum and creation of cooperative educational and training infrastructure.

Keywords: data science,data science body of knowledge,certification and accreditation,model curriculum,education and training support infrastructure,sustainable professional education model
Deconstructing pain with predictive models: from neural architecture to pain relief (PredictingPain)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Germany
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 1499922.0
EU funding (EUR): 1499922.0
Participants: 1
Project status: SIGNED

Pain is a burden for millions of people in terms of suffering, as well as for society in terms of costs. While it is well established that the perception of pain is not necessarily related to the amount of sensory input, a mechanistic framework for this is still lacking at the neurobiological level, although it would be of utmost importance for inspiring new therapeutic approaches. In PredictingPain, I will provide such a framework by applying recent insights from computational neuroscience in the form of ‘predictive coding’ to pain. Predictive coding models assume that perception is an active process in which the brain is not just passively responding to sensory inputs, but is instead constantly generating predictions about its sensory inputs. I will employ three complementary work packages (WP) – all of which use cutting-edge neuroimaging methods in human volunteers – to answer the important question of whether predictive coding can serve as a fundamental mechanism underlying the perception of pain. In WP1, I will elucidate whether the neural architecture of the nociceptive system is capable of implementing a predictive coding scheme. With WP2, I will unravel how the subjective experience of pain is constructed from a rich array of predictive signals. Finally, in WP3 I will employ an experimental model of chronic pain to test how predictions of pain relief exert their beneficial effects when pain is ongoing. A large part of the research in PredictingPain will focus on the human spinal cord, in order to capture predictive signals at this earliest level of central nervous system pain processing, since they will exert a profound effect on processing at higher levels and the resulting pain perception. Together, the outcomes from PredictingPain will provide a novel and mechanistic understanding of pain perception that will provide impetus for the development of new therapeutic approaches in order to reduce the suffering and financial burden that pain imposes.

Keywords: brain,neuroimaging,pain,prediction,predictive coding,spinal cord
Providing Antifouling Additives for Marine Paints Inspired by Nature and Engineered for Industries (BMX-11)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Cross-cutting marine and maritime research
Action type: SME instrument
Countries involved: Portugal
Call: Supporting SMEs efforts for the development - deployment and market replication of innovative solutions for blue growth (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-09-01
End date: 2016-12-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

90% of antifouling paints contain copper and secondary pesticides to make copper effective, which is toxic. But any company or individual who owns assets submerged to water for long periods need antifouling paints. There is increasing regulatory pressure from different governments that copper cannot be used for this reason anymore. A lot of research has gone into the subject with us being the first to find a real solution that is cheaper and more effective than copper as well as harmless to nature. We have found the solution that ensures antifouling that is harmless and bio-degradable: We are producing BMX-11, a green antifouling additive for marine paints. BMX-11 can have the following quantifiable financial impact: the yearly savings are $500,000 for vessels stationed in heavy fouling areas and between $350,000 and $370,000 for medium fouling development. In other words, BMX-11 is the only way to save €51 billion per year in energy costs without spreading toxins into our oceans. The overall objective of the Phase II BMX-11 Project is to finish prototyping the compound, to test the compound with additional paints at sea and to scale it up even further for industrial production and internationalization in order to enter the market upon Phase II project end. The Expected Outcome of the Phase II project will be a formulation of the BMX-11 that is ready to be sold to antifouling paint manufactures. The specific objectives of Phase I Feasibility include: Technological Feasibility Study, Market Assessment, Business Model Assessment, Risk Assessment, IP Assessment, Work Plan for Phase II, Business Plan BMX-11 is important for Europe from a political point of view and from an economic point of view, counting all economic activities that depend on the sea, then the EU's blue economy represents 5.4 million jobs and a gross added value of just under €500 billion per year. BMX-11 is fully aligned with our overall strategy and its financial impact is substantial.

Keywords: efficient anti fouling paints,harmless anti fouling biocide,non toxic marine anti fouling paint,aquaculture,novel biocide for anti fouling paints,bio degradable anti fouling paint
Computable Law (CompuLaw)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Italy,Italy
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-11-01
End date: 2025-10-31
Duration (months): 72.0
Total project cost (EUR): 2273550.0
EU funding (EUR): 999350.0
Participants: 2
Project status: SIGNED

The project addresses the regulation of computations (processes and systems) through an innovative legal & technological framework: it provides epistemic, technical and normative guidance for the de-velopment of computable laws and law compliant computations. The context is the ongoing transformation of the social world into a hybrid infosphere, populated by a huge and growing number of increasingly pervasive, autonomous and intelligent computational enti-ties. The scale, speed, ubiquity and autonomy of computations make it impossible for humans to di-rectly monitor them and anticipate all possible illegal computational behaviours. The law can hold the hybrid infosphere under its rule – providing protection, security and trust – only if it be-comes computation-oriented: legal and ethical requirements must be integrated with, mapped onto, and partially translated into, computable representations of legal knowledge and reasoning. Current legal culture still has not adequately addressed risks and potentials of computable law. My project will fill this gap, providing concepts, principles, methods and techniques and normative guide-lines to support law-abiding computations. It has the normative purpose to uphold the principle of rule of law, translating legal norms and legal values into requirements for computable laws and legally-responsive computational agents. My project will provide major methodological and substantive breakthroughs. On the one hand, it pro-poses a socio-technical methodology for regulatory design and evaluation, integrating three discipli-nary clusters: a social-legal one, a philosophical-logical one and a computing-AI one. On the other hand, it develops a framework including: (a) norms, legal values and principles for developers, de-ployers and users; (b) languages and methods to specify requirements of computations and norms directed to them; (c) cognitive architectures for legally-responsive computational agents.

Keywords: law and logic,legal informatics,technoregulation,electronic agents,autonomous vehicles,autonomous weapons
Combining Electrons and Phonons in Twisted materials (ComEPT)

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-2020, 2020)
Start date: 2021-05-01
End date: 2023-04-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

The recent discovery of correlated insulating states and unconventional superconductivity in twisted bilayer graphene triggered an intense research effort to understand the properties of moiré materials. The ability to manipulate electronic properties through the twist angle between two two-dimensional materials has given rise to the new field of twistronics. Besides novel electronic properties, moiré materials also feature unconventional vibrational properties, such as novel phason modes. The ability to control vibrations by twisting gives rise to the new field of twistnonics. Despite much progress, many experimental observations in moiré materials are not yet well understood. For example, the microscopic origin of the “strange” metal phase with a resistivity which is linear in temperature and the nature of pairing glue that induces superconductivity are hotly debated. To answer these questions, I propose to combine the fields of twistronics and twistnonics and study the role of electron-phonon interactions in twisted bilayer materials. Specifically, I plan to + develop a computational framework to study electron-phonon interactions in moiré materials. Because of the large unit cells of moiré materials, standard implementations of this approach cannot be used. To overcome this challenge, I will combine force-field approaches for phonons with tight-binding methods for electrons and develop a new parallelized computer code. + understand electron transport experiments in different twisted bilayer materials, including twisted bilayer transition metal dichalcogenides and twisted bilayer graphene. + study the electron-phonon mediated superconductivity in twisted bilayer materials. The results of these calculations will enable a detailed understanding of the interactions between electrons and phonons in moiré materials and enable the control of exotic quantum phenomena with the twist angles.

Keywords: electron phonon coupling mediated transport in moire materials,combining twistronics and twistnonics
Biomarker Guided Prostate Cancer Management (BioGuidePCa)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Germany
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2014-11-01
End date: 2015-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The BioGuidePCa project is designed to validate previously reported biomarkers for prostate cancer (PCa) management during surveillance of early and advanced PCa. With availability of PSA-screening an increase of insignificant PCa has been observed leading to over-diagnosis and overtreatment. Consequently active surveillance (AS) is an alternative to immediate therapy. AS is expectant management with curative intervention only for those patients with local tumor progression. Neuhaus et. al reported a peptide panel, derived from seminal plasma for the estimation of PCa aggressiveness. A main objective of the project is the validation of these biomarkers in regards of its use in AS. On the other hand, advanced metastasized PCa is still a deadly disease. The majority of patients initially responding to therapy progress after a median duration of 30 months. Therapy of castrate resistant prostate cancer (CRPC) relies on hormone therapy and cytotoxic chemotherapy. Recent developments have resulted in novel substances for treatment. However the optimal sequence of the drugs has not been determined. Thus there is a clear clinical need for the development of new approaches for early detection of metastatic disease to guide initiation of alternative therapy. We have recently identified urine based biomarkers, specific for cancer progression. The second main objective of this project is to validate these peptides for their use in assessment of risk of progression and development of metastatic disease. Both biomarker panels will be developed into a non-invasive urine tests for the routine monitoring of CRPC and PCa progression. The study uniquely integrates leading PCa clinical experts with experts on proteome analysis and in an implementation-oriented workflow. The proposed study will provide strong evidence for utility of the new BMs and will set the foundation for diagnostic devices to guide early patient management and personalized therapeutic intervention in PCa and CRPC.

Keywords: prostate cancer,castration resistant prostate cancer,psa progression,active surveillance,metastatic prostate cancer
Artificial Intelligence for Livestock Health Management. (SERKET)

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

SERKET is an innovative and disruptive Animal Recognition Software for Livestock able to collect data using standard security cameras, analyze the data by a proprietary Artificial Intelligence algorithm that detects behavioural pattern anomalies and automatically define the best strategy for the livestock health management. The main benefits are: 1) Reduction of Antibiotics Usage - instead of treating all the animals with drugs and antibiotics, SERKET can early detect the ailments and focus only on the animals that need the treatment; 2) Reducing Mortality Rate - SERKET solution can lessen the livestock mortality rate from 16% to 8%, thanks to the automatic behaviour recognition system; 3) Optimize the livestock management - SERKET is capable of counting animals, of determining feed requirements and automatically adjusting liquid feeding systems. The uniqueness and innovativeness of SERKET solution is: 1) it is the only technology in the market able to perform a real behavioural tracking and to anticipate dangerous situations for the animals; 2) it is simultaneously non-invasive (needing only standard cameras) and accurate; 3) it leads to a huge saving for farmers, thanks to the accuracy and to the support on livestock management (from a preliminary evaluation, a large pig farm owner will save 5.3 €/pig against a SERKET full-service fee of 2.2 €/pig). SERKET intercepts the Livestock market trends, driven by the continuous growth of livestock population, the more and more stringent regulations on antibiotics over-use and the imperative need to enhance the productivity by employing efficient systems to simplify the management of large volumes of animals, which is leading to a booming growth of the Livestock Monitoring & Management Market ($4.84 Billion by 2021 with a CAGR of 17.8% from 2016 to 2021).

Keywords: livestock health management,antibiotics usage in livestock,artificial intelligence,deep learning
Precision Medicine via Diagnostic Enzyme Activity Testing (PreMeDosE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Finland
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

PreMeDosE aims to ascertain the technical and commercial viability of a novel cytochrome P450 (CYP) enzyme activity assay, to enable truly personalised drug dosing for the first time. The CYP enzymes are responsible for the elimination of the majority of therapeutic drugs from the body. However, inter-individual variation in CYP activity leads to personal differences in drug elimination kinetics, both toxic accumulation (too slow elimination) and loss of therapeutic efficacy (too rapid elimination). The resulting adverse drug reactions have considerable clinical as well as economic consequences, accounting for ~5% of hospital admissions and increasing the mean stay from 8 to 20 days, and thereby affecting a patient’s quality of life and increasing healthcare costs. The inter-individual variation in elimination kinetics can have a genetic origin (some critical CYP enzymes are polymorphic), but substantial variations also arise from external factors, such as dietary agents, age, sex, disease state, and drug-drug interactions. Presently, only genetic variation can be measured but is not routinely recommended for clinical implementation because of the limited clinical utility. The PreMeDosE microfluidic assay permits for the first time measurement of the impacts of both genetic and external factors. The PreMeDosE assay permits direct measurement of CYP enzyme activity from a very small (biopsy-scale) liver sample, providing personalized information of drug elimination kinetics and thus paving the way to customized drug dosing. PreMeDosE assay fits standard well plate technology so it is easily implemented in routine laboratory flow. Within this project, we will optimize and validate the PreMeDosE technology with the aim to ascertain its technical and commercial viability.

Keywords: precision medicine,drug metabolism,cytochrome p450,diagnosis,microfluidics,functionalized materials