Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
European Advanced infraStructure for Innovative Genomics (EASI-Genomics)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Integrating activities and infrastructures
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Estonia,Germany,Germany,Spain,Belgium,Sweden,Sweden,France,United Kingdom
Call: Integrating Activities for Advanced Communities (H2020-INFRAIA-2018-1, 2018)
Start date: 2019-02-01
End date: 2023-07-31
Duration (months): 54.0
Total project cost (EUR): 9991267.0
EU funding (EUR): 9991267.0
Participants: 16
Project status: SIGNED

Next-generation sequencing (NGS) has taken modern research by storm and consequently is one of the most important tools of modern biological and biomedical research. However, the high cost of instrumentation and reagents, the multifaceted expertise required for correct use and the legal and ethical issues hamper access to NGS technologies for many researchers. EASI-Genomics addresses those challenges by unifying the major European genome centers that provide external access to their facilities. The mission of EASI-Genomics is to facilitate access to cutting-edge DNA sequencing technologies to researchers from both academia and industry, within a framework that ensures compliance with ethical and legal requirements, as well as FAIR and secure data management. EASI-Genomics will provide fully funded access to more than 150 transnational access projects, selected through public calls and a rigorous, fair and transparent peer-review process. Each funded study will be supported from design, through sequencing, to data analysis. EASI-Genomics will provide more than 100 Tb of sequence and more than 25,000 hours of bioinformatic, analytical and data management support to the user community. As outlined in the call, EASI-Genomics will provide access to advanced methods that go beyond what is commercially available. The focus will be on more complex procedures involving short-reads, long-reads, in situ sequencing and single-cell analysis. Complex integrative projects and projects on non-human samples will also be highlighted. Finally, EASI-Genomics will support the wider NGS community to improve their quality control processes by offering open inter-laboratory comparisons allowing them to obtain ISO certification and accreditation in line with many of the EASI-Genomic partners. The EASI-Genomics project aims to build a community of practice, which leverages advanced sequencing technologies beyond country and sector borders to tackle global challenges in science.

Keywords: dna sequencing,epigenetic analysis,single cell seq,in situ seq,long read,bioinformatics,integrative analysis,fair data,eosc,community building,harmonization,benchmarking
ADVANCED NANOMEMBRANES FOR EXACT POLYMER PRODUCTION (EXACTYMER)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: United Kingdom,United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-07-01
End date: 2023-12-31
Duration (months): 66.0
Total project cost (EUR): 2499814.0
EU funding (EUR): 1642244.35
Participants: 2
Project status: SIGNED

The production of synthetic polymers with precisely defined monomer sequences – exact polymers, which I call “exactymers” – is highly challenging. Iterative synthesis, in which specific monomers are added one-at-a-time to the end of a growing polymer chain, affords exquisite control over the final sequence, but requires accurate purification of the growing polymer with each and every cycle. EXACTYMER will create new super-stable, ultra-selective nanomembranes, with high permeances, enabling rapid, repeated purifications, which will transform exactymer fabrication. Multiple growing polymer chains will be attached to a central hub molecule to create a macromolecular homostar with enhanced molecular size, promoting accurate separation of the growing exactymer from reaction debris via nanomembrane processing. Automation and engineering will enable rapid, accurate and precise cycles of exactymer chain growth. EXACTYMER objectives will be achieved through curiosity-driven research into (1) the creation of nanomembranes with exquisite molecular selectivity between growing homostars and monomer plus reaction debris; (2) advancing the chemistry of iterative synthesis by creating strategies for step-wise growth of polyethers, polysiloxanes, and polyesters, and side chain functionalised monomers of these species; (3) combining iterative chemistry and nanomembranes together in an automated homostar nanofiltration platform, and; (4) exploring the use of exactymers in healthcare, nanotechnology and information storage. EXACTYMER will undertake pioneering research at the boundaries of membrane technology, polymer synthesis, process engineering and nanotechnology. The most profound anticipated outcome is a new capability to produce synthetic polymers, over 20 monomers in length, with exactly defined monomer sequences to an unprecedented accuracy, at multi-gram scale. New scientific insights will derive from the properties and performances of these newly accessible molecules.

Keywords: nanomembranes for molecular separations,iterative synthesis,automated lab plant for reaction and homostar nanofiltration
European Coordinated Research on Long-term ICT and ICT-based Scientific and Technological Challenges (CHIST-ERA IV)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: ERA-NET Cofund
Partnership: CHIST-ERA IV (ERA-NET)
Countries involved: Austria,Estonia,Spain,Ireland,Italy,Israel,Bulgaria,Finland,Greece,Hungary,Lithuania,Poland,Sweden,Switzerland,Türkiye,Belgium,Romania,Slovakia,Latvia,France,Czechia,Luxembourg,Portugal,United Kingdom
Call: FET ERA-NET Cofund (H2020-FETPROACT-2018-02, 2018)
Start date: 2019-12-01
End date: 2024-11-30
Duration (months): 60.0
Total project cost (EUR): 18716537.0
EU funding (EUR): 6000000.0
Participants: 27
Project status: SIGNED

CHIST-ERA is a network of research funding organisations in Europe and beyond with programmes in Information and Communication Science and Technology (ICST), at the intersection of the FET and the ICT and ICT-based domains. CHIST-ERA IV ERA-NET aims at supporting transnational research projects addressing long-term scientific challenges in the domain of ICT or at the interface between ICT and other domains. It also fosters the maturation of the corresponding research topics and the structuration of the corresponding communities. Another goal is to encourage Open Science best practices, raise awarness about responsible Research and Innovation and support the exploitation of the research projects funded by CHIST-ERA by the industry. In the framework of CHIST-ERA IV, three joint transnational calls are planned (the Calls 2019, 2020 and 2021), each covering two topics. The two topics for the Call 2019 are "Explainable Machine Learning-based Artificial Intelligence" and "Novel Computational Approaches for Environmental Sustainability". The topics for the Calls 2020 and 2021 will be decided in 2019 and 2020 respectively.

Keywords: era net,joint transnational call,use inspired research,future and emerging technologies,strategic research agenda,fet proactive,fet flagships,open science
Faster Upcoming Technology Uptake Relevant for the Environment in FOOds Drying (FUTURE-FOOD)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Innovation actions
Countries involved: Italy,Serbia,Belgium,Sweden,Netherlands,Netherlands
Call: Innovative solutions for sustainable novel food processing (H2020-SFS-2014-2, 2014)
Start date: 2015-03-01
End date: 2018-08-31
Duration (months): 42.0
Total project cost (EUR): 2602973.75
EU funding (EUR): 2094031.62
Participants: 7
Project status: CLOSED

Future Food aims at demonstration and first market application of an eco-innovative solution for sustainable food drying. The process makes use of high pressure CO2 technology as drying medium which enables efficient drying at close-to-ambient temperatures in absence of oxygen. Research and development studies have shown it feasibility of being an ecological and economical alternative to freeze-drying, for products categories vegetables and fruits, specialty ingredients such as proteins and biopolymers. Besides good preservation of a food quality, microbial inactivation occurs in situ which attributes to ensuring food safety. The main objectives are: (i) minimize risks that could prevent CO2 drying to enter the market and (ii) to demonstrate its market replication potential via a first application to the market. The base of the project is to provide on the one hand prototyped products and on the other prototyped process extensions that will increase the market potential. Prototyping processing elements will demonstrate the energy reduction of the process and the full width of applications at a pilot scale. By preparing three product prototypes the aim is to demonstrate the full potential of this technology to the industry at a foodgrade level, resulting in validation of the process. On the basis of the prototype assessments, in close conjunction with industrial (SME) parties, the process will be certified, (economically) validated and demonstrated to the industry. The final step is demonstrating the process in a near-operational environment to identify all the benefits for consumer and the food chain. By doing so, the drying process will evolve from a TRL 4-5 to a TRL 8. By intensive dissemination to increase visibility, the technology will disseminated to SME’s in Europe to maximize uptake of the technology in the market and realizating impact on sustainability, food safety and economy.

Keywords: food drying,carbon footprint reduction,energy cost reduction
Reversing the epigenetic state of oligodendrocyte precursors cells in multiple sclerosis (EPIScOPE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Sweden
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2021-08-31
Duration (months): 60.0
Total project cost (EUR): 1895155.0
EU funding (EUR): 1895155.0
Participants: 1
Project status: CLOSED

Oligodendrocytes (OL) are glial cells that mediate myelination of neurons, a process that is defective in multiple sclerosis (MS). Although OL precursor cells (OPCs) can initially promote remyelination in MS, this regenerative mechanism eventually fails in progressive MS. OPCs go through several epigenetic states that ultimately define their potential to differentiate and myelinate. OPCs in progressive MS stall in a distinct epigenetic state, incompatible with differentiation and remyelination. We hypothesize that these OPCs regress to an epigenetic state reminiscent of the state of embryonic OPCs, which remain undifferentiated. In this proposal, we aim to uncover the causes behind the remyelination failure upon disease progression in MS. We will determine the epigenetic/transcriptional states of OPCs during development and in MS, using single cell and bulk RNA sequencing and quantitative proteomics. We will further investigate how the interplay between transcription factors (TFs), chromatin modifiers (ChMs) and non-coding RNAs (ncRNAs) contributes to the transition between epigenetic states of OPCs. The results will allow the identification of ChMs and ncRNAs that can modulate these states and thereby control OPC differentiation and myelination. We will use this knowledge to investigate whether we can reverse the epigenetic state of OPCs in MS, in order to promote their differentiation and remyelination. The unique combination of leading-edge techniques such as SILAC coupled with immunoprecipitation and mass-spectrometry, single-cell RNA sequencing, ChIP-Sequencing, among others, will allow us to provide insights into novel epigenetic mechanisms that might be underlying the effects of environmental and lifestyle risk factors for MS. Moreover, this project has the potential to lead to the discovery of new targets for epigenetic-based therapies for MS, which could provide major opportunities for improved clinical outcome of MS patients in the near future.

Keywords: epigenetics,non coding rnas,chromatin,oligodendrocyte development,myelin,multiple sclerosis
Delivering Better Starting Points for Drug Discovery: New Compound Libraries Driven By Intelligent Design (iDESIGN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-01-01
End date: 2021-12-31
Duration (months): 48.0
Total project cost (EUR): 1565180.58
EU funding (EUR): 1565180.58
Participants: 6
Project status: CLOSED

Whilst the need to generate new therapeutics has never been more important, drug discovery is at the same time becoming much more difficult. In short, we need to be more efficient at developing drugs. One way of achieving this is to reduce the attrition rates, which currently blight the drug-discovery process, by populating compound screening libraries with more structurally diverse and higher quality, i.e. designed, molecules to provide better starting points for drug development. Pharma also needs a new type of researcher given an increasing proportion of scientists are now finding employment in smaller companies, where they need to be more flexible, entrepreneurial and business-aware. iDESIGN seeks to address these key challenges by combining the complementary expertise from both academic and industrial sectors. iDESIGN has the following Principal Objectives: 1) to use the ESRs' individual research projects to develop new, structurally diverse, 'smart' compound libraries for the sector to use in hit-identification screening campaigns; 2) to provide a training programme which will see the ESRs becoming expert synthetic and medicinal chemists, confident research scientists, consummate professionals, effective communicators and innovators with a creative and entrepreneurial spirit. iDESIGN will begin with an academic training phase, during which the ESRs will undertake project-wide training whilst acquiring the synthesis skills to generate bespoke molecular scaffolds, which they will elaborate and validate using in silico and experimental methods. The ESRs will then transfer to one of the industrial partners to take full advantage of their Industrial Supervisors' expertise and the available instrumentation to complete the library-generation aspect of their research projects. All 6 ESRs will return to Birmingham for their final 2 months to allow their Academic Supervisors to oversee directly the final stages of their PhD thesis preparation.

Keywords: chemical libraries,diversity oriented synthesis,lead like molecules,chemical space
Infinitary Rewriting for Type Systems (InfTy)

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: Information Science and Engineering
Countries involved: Denmark
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-08-01
End date: 2018-07-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Infinite objects are ubiquitous in computer science, e.g., an interactive program may be modelled as taking for input a stream (an infinite list) of requests and producing a stream of responses. In theoretical computer science infinite objects play an important role e.g. in automata theory and exact real number arithmetic. Representing and reasoning about infinite computations is crucial in designing safe software systems. The objective of InfTy is to devise mathematical methods for reasoning about programs manipulating infinite objects, developing compositional typed formalisms and integrating them with infinitary rewriting techniques. Our methods will be compositional and applicable to higher-order programs, while still adopting the operational perspective of rewriting, thus opening up a new viewpoint on higher-order typed formalisms for corecursion. We will extend Pure Type Systems with coinductive types, providing a general yet simple theory for type systems with infinite objects and unifying previous type-based and rewriting-based work on productivity. By establishing infinitary normalisation and infinitary confluence for typable terms, we will construct Böhm models for type systems with corecursion. Recently, a coinductive approach to infinitary rewriting has been proposed by Endrullis et al., and coinductive proofs for some results in infinitary rewriting have been developed by the fellow. The coinductive approach simplifies investigations in infinitary rewriting and thus it is our chosen methodology. This approach, which we will further develop, is by itself of high interest to the rewriting community, but our work will also be relevant to the typed lambda calculus and programming languages communities. The supervisor has strong expertise in rewriting, particularly infinitary rewriting. He developed much of the theory of Infinitary Combinatory Reduction Systems crucial for the present proposal.

Keywords: term rewriting,infinitary rewriting,lambda calculus,type systems
Gene editing and in vitro approaches to understand conceptus elongation in ungulates (ELONGAN)

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: Spain
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2017-10-01
End date: 2023-09-30
Duration (months): 72.0
Total project cost (EUR): 1480880.0
EU funding (EUR): 1480880.0
Participants: 2
Project status: SIGNED

In contrast to human or rodent embryos, ungulate embryos do not implant into the uterus right after blastocyst hatching. Before implantation, the hatched ungulate blastocyst must undergo dramatic morphological changes characterized by cell differentiation, proliferation and migration processes leading to the development of extra-embryonic membranes, the appearance of a flat embryonic disc and gastrulation. This prolonged preimplantation development is termed conceptus elongation and deficiencies on this process constitute the most frequent cause of reproductive failures in ungulates, including the 4 most relevant mammalian livestock species in Europe. The purpose of this project is to elucidate the factors involved in conceptus elongation by gene editing and in vitro culture approaches. A first objective will be to identify key genes involved in differentiation processes by RNA-seq analysis of different embryo derivatives from bovine conceptuses at different developmental stages. Subsequently, the function of some of the genes identified as well as others known to play a crucial role in mouse development or putatively involved in embryo-maternal interactions will be assessed. For this aim, bovine embryos in which a candidate gene has been ablated (KO) will be generated by CRISPR and transferred to recipient females to assess in vivo the function of such particular gene on conceptus development. A second set of experiments pursue the development of an in vitro system for conceptus elongation that would bypass the requirement for in vivo experiments. For this aim we will perform metabolomics and proteomics analyses of bovine uterine fluid at different stages and will use these data to rationally develop a culture system able to sustain conceptus development. The knowledge generated by this project will serve to develop strategies to enhance farming profitability by reducing embryonic loss and to understand Developmental Biology questions unanswered by the mouse model.

Keywords: crispr,bovine,embryo
Enhancing recovery from eating and weight disorders using mHealth and psychological theory (SmartEater)

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: Austria
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-01-01
End date: 2020-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 61250.0
Participants: 2
Project status: CLOSED

Smartphones are ubiquitous in all age groups and socioeconomic levels and digitalization of various life domains is in full progress. While there are several areas where skepticism is justified, the personal health domain still holds high promises, particularly when applied in specific settings. The proposed mHealth app SmartEater provides intelligent mobile logging of stress, and eating behavior as a basis for intervention and follow-up care in clinics treating eating disorders and obesity. Current apps require frequent and cumbersome entries, resulting in low user adherence and poor data quality. Evidence for their usefulness is often missing. Further, therapeutic content is not personalized. In SmartEater, users repeatedly enter data on experienced craving for foods and stress. SmartEater then ‘learns’ from the user through sophisticated machine learning algorithms: data from smartphone usage patterns (e.g. screen-on time, calls, messages, internet traffic) and sensor data (e.g. movement, background noise) are combined to substitute for manual user input, thereby progressively reducing user burden. Temporal pattern analysis of individual time-series allows prediction of stress and craving bouts into the near future. Such predictions allows the app to respond to upcoming eating 'crises’ e.g. overeating/binge eating and launch situation-appropriate tips that have been developed individually for the user during in-patient treatment. SmartEater will be routed in psychological models of eating behavior and rigorously tested in the described population to evaluate efficacy. Due to the sensitive nature of such data, SmartEater enforces strict privacy protection. Targeted markets include health insurances which profit from improved patient health and successful transfer into daily life after professional treatment as well as clinics with an eating/weight disorder focus in German speaking coutries.

Keywords: smartphone app,prediction,stress,eating,ehealth,mhealth,machine learning,eating disorders,obesity