Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ENHANCING RESEARCH AND INNOVATION CAPACITY OF TUBITAK MAM FOOD INSTITUTE ON MANAGEMENT OF MYCOTOXIGENIC FUNGI AND MYCOTOXINS (MycoTWIN)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Spain,Italy,Türkiye
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2020-12-01
End date: 2024-05-31
Duration (months): 42.0
Total project cost (EUR): 899806.25
EU funding (EUR): 899806.25
Participants: 3
Project status: SIGNED

MycoTWIN aims to significantly strengthen a defined field of research (researches on mycotoxigenic fungi and mycotoxins) in TUBITAK (an institute from a widening country) by linking it with CNR and UVEG (two internationally-leading research institutes in Member States Countries). MycoTWIN will support the entire value chain from planning of the cropping system to cultivation of crops, harvest, storage, transport, processing and consuming, all of which can be affected by mycotoxins. This multi-actor partnership approach will integrate the EU Commission food safety policy as well as relevant supranational guidelines (e.g. CODEX). MycoTWIN will provide knowledge and experience transfers on mycotoxigenic fungi and mycotoxins achieved from other FP7 and H2020 projects (e.g. MycoRed and MycoKey), and clustered in three operational areas: i) Integrated Information System; ii) Toxigenic Fungi and Mycotoxin Monitoring; iii) Prevention, Intervention and Remediation MycoTWIN will enhance the scientific and technological capacity of the all three institutions in this specific field with a principal focus on TUBITAK. Five specific objectives have been identified: OBJ1 – to increase knowledge, experience, and skills of research staff with a specific focus on involvement of early stage researchers through exchange of knowledge among project partners with scientific activities OBJ2 – to achieve rapid and effective communication with relevant parties/stakeholders in the field of mycotoxigenic fungi and mycotoxins OBJ3 – to provide effective dissemination and exploitation of MycoTWIN outcomes by organizing scientific events open to all parties/stakeholders including industrial/commercial user groups OBJ4 – to raise awareness on MycoTWIN through external scientific events and scientific papers OBJ5 – to strengthen cooperation and formulate scientific strategy among the project partners for further researches in the field of mycotoxigenic fungi and mycotoxins

Keywords: mycotoxins,mycotoxigenic fungi,aflatoxin,aspergillus,rapid test kits,advanced analysis
Programme for Post-Doctoral Talent Attraction to CEI UAM+CSIC (InterTalentum)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Fellowship programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Spain,Spain
Call: Marie Skłodowska-Curie Co-funding of regional, national and international programmes (COFUND-FP) (H2020-MSCA-COFUND-2015, 2015)
Start date: 2016-06-01
End date: 2021-05-31
Duration (months): 60.0
Total project cost (EUR): 2548800.0
EU funding (EUR): 1274400.0
Participants: 5
Project status: CLOSED

The Programme for Post-Doctoral Talent Attraction to CEI UAM+CSIC, InterTalentum, is a programme developed by the Universidad Autónoma de Madrid (UAM), which intends on building particularly favourable environment to attract the best experienced researchers in the four Focus Research Areas of CEI UAM+CSIC: Biology and Biomedicine, Nanoscience, Nanotechnology and Advanced Materials, Theoretical Physics and Mathematics and Social Sciences, Legal Sciences and Humanities. The program aims at exploiting the full potential of the CEI UAM+CSIC to offer the fellows a truly interdisciplinary and intersectorial training that will strengthen their curricula and provide the region of Madrid with a pool of researchers capable of preserving the long standing tradition for scientific excellence and bridging the gap between academic and applied research. Within the proposed 60 months co-funding period (48 months of fellowships), distributed in two International Calls, InterTalentum will offer to 18 incoming experienced researchers, of any nationality, the opportunity to develop her/his research project within the framework of a vast network of institutions participating under CEI UAM+CSIC, an International Excellence initiative and a Global Campus, including some worldwide reference research laboratories at Universidad Autónoma de Madrid (UAM, included its Joint Research Institutes and Health Institutes), Consejo Superior de Investigaciones científicas (CNB - Centro Nacional de Biotecnología, ICMM - Instituto de Ciencia de Materiales de Madrid, ICP - Instituto de Catálisis y Petroquímica , ICV - Instituto de Cerámica y Vidrio, IMM - Instituto de Microelectrónica de Madrid), Madrid Advanced Research Institutes “IMDEAS” (IMDEA – Alimentación, IMDEA Nanociencia). Researchers will be selected through a transparent and international evaluation process taking into consideration the whole range of experience of the candidates.

Keywords: talent attraction,interdisciplinary,intersectorial,cei uam csic,global campus
Discovery and commercialisation of novel compounds targeting redox proteins (REDOXDRUGS)

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: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-09-01
End date: 2018-02-28
Duration (months): 18.0
Total project cost (EUR): 149996.0
EU funding (EUR): 149996.0
Participants: 1
Project status: CLOSED

The Peroxiredoxin proteins represent a currently untapped molecular therapeutic target. We recently characterised a range of novel chemical compounds that could alter the function of one of the peroxiredoxin family members, peroxiredoxin 4 (PRDX4). The approach involved high-throughput computational “virtual” compound screening involving our supercomputer facility at the University of Cambridge. Given our success in finding chemicals that could affect the function of these proteins, we would now like to screen and provide proof-of-principle evidence of the efficacy of novel compounds for further development as therapeutic agents. This process has been very rapid for prototyping novel molecules, from idea to hit compound validation in biological assays in less than 6 months. This rapid development cycle is highly cost-efficient and produces a range of chemical “hits” that could subsequently be taken forward as “lead” compounds for pre-clinical and clinical studies in the future, as novel therapeutics for a range of diseases ranging from cardiovascular and metabolic disease to cancer.

Keywords: circadian,redox,drug discovery,peroxiredoxin,sleep
StakeHolder-based Analysis of REsearch for Decommissioning. (SHARE)

Framework: Horizon 2020 — Euratom
Programme: Nuclear fission and radiation protection
Theme: Decommissioning and environmental remediation
Action type: Coordination and support actions
Countries involved: Germany,Italy,Spain,Norway,Belgium,Finland,Lithuania,France,France,France,France,United Kingdom
Call: Development of a roadmap for decommissioning research aiming at safety improvement, environmental impact minimisation and cost reduction (NFRP-2018, 2018)
Start date: 2019-06-01
End date: 2022-03-31
Duration (months): 34.0
Total project cost (EUR): 1525925.0
EU funding (EUR): 1413159.25
Participants: 13
Project status: CLOSED

SHARE intends to provide an inclusive roadmap for Research, in technical and non-technical fields, enabling stakeholders to jointly improve safety, reduce costs and minimize environmental impact in the decommissioning of nuclear facilities. Through a consultation process among the worldwide community involved in the decommissioning value chain, the project is committed to: • Building confidence in the steps needed for the generation of knowledge on decommissioning and its safety, economic and environmental aspects • Assist policy makers in future decisions about which research areas are most appropriate for financial support over the coming decades. • Create synergies, cooperation and coordination between the decommissioning stakeholder community and with other international platforms and organisations in Europe and beyond, • Engage universities and research laboratories in the innovative approaches, contributing to the maintenance of key skills in decommissioning and environmental remediation and to the development of young engineers in this growing field. A Strategic Research Agenda (SRA) will be is set up to define main decommissioning research actions needing a coordinated effort over the next years and in particular those actions for which enhanced cooperation within the shareholder community are desirable and achievable. These actions will result from a gap analysis where the expected situation answering to the needs and perspectives of different stakeholders will be compared to the present situation with existing and emerging innovative techniques and solutions, international best practices and advanced technologies. Three levels of stakeholders will be considered: the consortium, the expert review panel and the wider community of persons and organizations having an interest in decommissioning. From the topics identified in the SRA, a road map with detailed actions to be implemented in the 10-15 years will be developed, with a proposal of deploy

Keywords: decommissionning,research,innovation,roadmap
Dynamic directed functional connectivity of causal learning (CausalBrain)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: CLOSED

Humans have an extraordinary capacity to infer cause-effect relations and form beliefs about the causal effect of actions. This ability provides the basis for rational decision-making and allows people to engage in meaningful life and social interactions. In fact, alterations of cognitive processes involved in causal learning have been found in patients affected by psychiatric disorders such as obsessive-compulsive disorder, schizophrenia and addiction. The formation of causal beliefs relies on learning rules determined by the contingency between actions and outcomes. Although fronto-striatal areas are known to be involved in the cogntive architecture of causal beliefs, it is still unknown how these brain regions interact to learn causal structures. This project aims to unravel the link between functional brain networks and causal reasoning. We hypothesize that causal representation are implemented in a dynamic distributed network of directed functional interactions between brain regions and that this network is shaped by learning. We will characterize the modulations of brain circuits involved in learning phases as well as the brain networks responsible of internal representations of contingency values and associated uncertainty. We are going to pursue these two aims by analyzing magneto-encephalografic and intracranial electro-encephalographic data collected during a causal reasoning task. We will use state-of-the-art methods for dynamic directed connectivity estimation. In addition, we will develop machine learning pipelines to found those subnetworks that implement the cognitive architecture of causal learning. Overall, we will be able to understand whether causal learning and the psychological internal variables predicted by rational theories are reflected in dynamically changing directional influences in whole-brain circuits.

Keywords: functional connectivity,machine learning,granger causality,whole brain modeling
Establishing genetic code expansion as a tool to study neuronal circuit function in an animal (UAAWORM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-04-01
End date: 2022-09-30
Duration (months): 78.0
Total project cost (EUR): 1499520.0
EU funding (EUR): 1499520.0
Participants: 1
Project status: CLOSED

We pioneered technologies that allow the site-specific introduction of chemically synthesized unnatural amino acids (UAA) into a chosen protein within the context of a multicellular organism - the nematode worm C. elegans. The foundational technology for this advance is genetic code expansion. In its most simple form, genetic code expansion to incorporate UAA into proteins requires an orthogonal aminoacyl-tRNA synthetase/tRNACUA pair to be introduced into the host organism. The orthogonal aminoacyl-tRNA synthetase must specifically recognize an UAA and use this amino acid to specifically aminoacylate its cognate orthogonal tRNACUA, which is itself not a substrate for endogenous synthetases. The aminoacylated tRNA then decodes an amber stop codon introduced into a gene of interest at a specific site. Our proposal is at the intersection of synthetic multicellular biology and organismal neurobiology. We aim to engineer photo-activateable proteins in C. elegans neurons by site specifically incorporating photo-caged unnatural amino acids. This will allow us to develop tools to: i) control within an intact, freely moving animal the activity of any desired single neuron or group of neurons, and ii) eventually control the chemical and electrical synaptic connectivity between neurons. We will then apply this technology to investigate how neuronal circuits generate behaviour. In addition and complementary to the development and application of neurobiological tools we will further improve the coding capacity of the worm’s protein synthesis machinery.

Keywords: genetic code expansion,synthetic multicellular biology,neuronal circuit function
NEUral computing aRchitectures in Advanced Monolithic 3D-VLSI nano-technologies (NeuRAM3)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Italy,Switzerland,Belgium,France,France,Netherlands
Call: Generic micro- and nano-electronic technologies (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2019-06-30
Duration (months): 42.0
Total project cost (EUR): 4181015.0
EU funding (EUR): 3216150.0
Participants: 10
Project status: CLOSED

We propose to fabricate a chip implementing a neuromorphic architecture that supports state-of-the-art machine learning algorithms and spike-based learning mechanisms. With respect to its physical architecture this chip will feature an ultra low power, scalable and highly configurable neural architecture that will deliver a gain of a factor 50x in power consumption on selected applications compared to conventional digital solutions; and fabricated in Fully- Depleted Silicon on Insulator (FDSOI) at 28nm design rules. In parallel the project will be validating the modules to realise RRAM synapses both planar and in a 3D monolithic structure. We will complete this vision and develop complementary technologies that will allow to address the full spectrum of applications from mobile/autonomous objects to high performance computing coprocessing, by realising (1) a technology to implement on-chip learning, using native adaptive characteristics of electronic synaptic elements; and (2) a scalable platform to interconnect multiple neuromorphic processor chips to build large neural processing systems. The neuromorphic computing system will be developed jointly with advanced neural algorithms and computational architectures for online adaptation, learning, and high-throughput on-line signal processing, delivering 1. an ultra-low power massively parallel non von Neumann computing platform with non-volatile nano-scale devices that support on-line learning mechanisms 2. a programming toolbox of algorithms and data structures tailored to the specific constraints and opportunities of the physical architecture; 3. an array of fundamental application demonstrations instantiating the basic classes of signal processing tasks. The neural chip will validate the concept and be a first step to develop a European technology platform addressing from ultra-low power data processing in autonomous systems (Internet of Things) to energy efficient large data processing in servers and networks.

Keywords: neuromorphic computing,neural networks,cognitive computing,monolithic 3d,fdsoi,rram,perceptron
Neogenesis of new functional Beta Cells through Modulation of Neurogenin-3 Expression to provide Regenerative Therapy for Diabetes Patients (Neobetacell)

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 Grant (ERC-2015-STG, 2015)
Start date: 2016-10-01
End date: 2021-09-30
Duration (months): 60.0
Total project cost (EUR): 1499875.0
EU funding (EUR): 1499875.0
Participants: 1
Project status: CLOSED

Diabetes mellitus is a chronic metabolic disorder characterized by elevated blood sugar levels with increased risk of cardiovascular complications. The currently available therapy for type 1 diabetes (TIDM) consists of daily injections of exogenous insulin in order to delay disease progression. However, these treatments do not provide a real cure since long-term secondary complications cannot be avoided. As TIDM is characterized by the highly specific immune-mediated destruction of one cell type, this disease represents a particularly ideal candidate for cell replacement therapy. Transplantation of human islets, isolated from cadaveric donor pancreas, potentially represents a genuine cure for TIDM but is limited by a shortage of transplantable islets. In the current application I will create an unprecedented humanized mouse model to test pharmacological therapies for diabetes. In a first step I will study the actions of Geminin on the regulation of the pro-endocrine transcription factor Neurogenin3 during mouse and human development and postnatal beta cell regeneration from the exocrine cells of the pancreas. These experiments will provide tools to control Neurogenin3 expression and thus endocrine cell differentiation in the human pancreas. Using the knowledge gained from in vivo mouse studies, I will create a novel clinically relevant humanized mouse model. I will use this model to develop a cytokine-based treatment to convert human acinar cells to functional beta-like cells in a Neurogenin3 dependent way. Finally, I will design a strategy to deliver the pro-endocrine treatment in a cell-specific manner. The humanized model will serve as a unique platform to test treatment for human diabetes in the pre-clinical phase. This project utilizes a multidisciplinary approach to develop a strategy based on pharmacological treatment rather than cell therapy, paving the way for clinical application.
Relativistic non-linear optical property calculations with density functional theory (RelPro)

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: Chemistry
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-18
End date: 2019-04-17
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Non-linear optical properties of molecules with strong relativistic effects play an important role in current research e.g. for photochromic materials and bioimaging. Up to now, there is no computational treatment of these molecular properties such as two-photon absorption (TPA) and first hyperpolarizabilities using density functional theory (DFT). Such a computational technique will, however, be very benefitial for research in this field as by result prediction and computational assistance for the interpretation of results, it will allow for a much more efficient use of synthesis ressources both regarding manpower and chemicals. The molecular properties will be treated in terms of energy derivatives w.r.t. the electric field using response theory. Relativistic effects will be taken into account as part of the zeroth-order Hamiltonian. Namely, the four-component Hamiltonian will be used. As the first main task of the project, the so-called second exchange-correlation kernel, the third derivative of the exchange-correlation energy with respect to the variational parameters, will be formulated and implemented. Due to the innovativeness of the response theory approach to be used, TPA, first hyperpolarizabilities and excited state dipole moments will be available at the same time allowing for a large variety of applications right from the start. This project is a big challenge for quantum chemical method development as taking into account relativistic effects using the four-component Hamiltonian operator renders the fundamental expressions very complex. However, the risk behind this project will be minimized by the organization in terms of work packages which ensure that the implementation will be performed in different steps with increasing complexity.

Keywords: response theory,molecular properties,relativistic quantum chemistry,non linear optics