Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Pathways for transitions to sustainability in livestock husbandry and food systems (PATHWAYS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Italy,Spain,Germany,Spain,Belgium,Poland,Sweden,Sweden,Belgium,Romania,Switzerland,Poland,Romania,Sweden,France,France,France,Netherlands,United Kingdom,Denmark,United Kingdom,United Kingdom,Denmark
Call: Husbandry for quality and sustainability (H2020-FNR-2020-2, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 9026907.49
EU funding (EUR): 8998906.26
Participants: 35
Project status: SIGNED

The PATHWAYS project will deliver co-developed transition pathways that directly address societal demands for increased resilience in the provision of safe, nutritious, affordable livestock-based food, whilst reducing environmental impacts, and supporting the economic sustainability of the European livestock sector. Visions, scenarios and transition pathways will be co-developed through an ambitious participatory approach based on innovative practice hubs, living labs and interaction within a European multi-actor platform and a wider community of practice. Existing and future, co-designed livestock systems will be characterised and assessed within a scientifically robust, holistic sustainability assessment framework, comprising refined key performance indicators and cutting-edge models, to enhance understanding of productivity, biodiversity, health and welfare, greenhouse gas emissions, human nutrition, trade and economics, and ecosystem service impacts. Living labs and practice hubs will identify bottom-up interventions and adoption routes that will drive a transition to improved livestock system development. Consumer preferences, diet choices and willingness to pay will be supported by consequential LCA and economic analysis of trade and supply chain impacts, addressed through stakeholder input and modelling. The participatory development and application of a holistic sustainability assessment will deliver a scientifically robust analysis for the co-development of scenarios and transition pathways to inform key stakeholders throughout livestock-based food systems, driving a transition to greater sustainability. PATHWAYS will improve the role of livestock in supporting a circular bioeconomy and the place of animal products in future diets through an interactive online platform and policy toolkit to provide user-friendly instruments for a range of stakeholders.

Keywords: sustainability assessment,livestock,participatory,food systems,biodiversity,human nutrition,greenhouse gases,scenarios,circular economy,ecosystem services
“Bridging the technology gap: Integrating Malta into European Research and Innovation efforts for AI-based language technologies” (LT-BRIDGE)

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: Ireland,Germany,Malta
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 899995.0
EU funding (EUR): 899995.0
Participants: 3
Project status: SIGNED

Following European Parliament's Report on Language equality in the digital age, Language-centric artificial intelligence offers new opportunities for digital and technology-enabled communication and products in all European languages (and beyond), and thus both economically and cultural, are a central cornerstone for the European Digital Single Market and inclusion of citizens. However, although smaller or minority languages like Maltese are the ones to gain most from language technologies (LT), tools and resources for them are often scarce — in some cases non-existent which leads to a widening technology gap between large, well-resourced languages and smaller languages like Maltese. The overall goal of the "LT-BRIDGE" project hence is to integrate University of Malta's AI Department and Institute of Linguistics and Language Technology into the European research community in the area of AI-based language technologies by significantly strengthening its the research and networking capacities and reputation aiming to create a European-level Centre of Excellence in the this field in Malta (Widening Country) and thus closing the technology gap. Two leading European research organizations, the German Research Centre for Artificial Intelligence (DFKI) and Dublin City University's ADAPT Centre (DCU) will work in order to help UM to attain this objective. The Science Strategy and corresponding research and innovation programme proposed by the LT-BRIDGE consortium will address the carefully selected and mutually-relevant research topics jointly shaping important new applied research areas. As a result the project will foster new young European level research teams in UM capable of carrying out competitive research in the priority scientific areas. The Innovation and Research Management capacity building programmes will allow UM to extend and improve its portfolio of services oriented towards the needs of national, regional and European public authorities, businesses and NGOs, as well.

Keywords: language technologies,natural language processing,machine translation,language resources,automatic speech recognition,natural language generation,natural language understanding
POLYBOOST: Renovating the Polyclonal Immunotherapy (POLYBOOST)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Italy,France
Call: Supporting innovative SMEs in the healthcare biotechnology sector (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-12-01
End date: 2017-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

Immunotherapy is an essential field of medicine that allows clinicians to stimulate or to suppress the response of our immune system against specific stimuli. The progressive ageing of the population and the rising incidence of chronic diseases is driving the demand for immunotherapy, as it can be used to fight cancer or autoimmune diseases. One of its major applications today is to prevent the rejection of transplanted organs. Since organs are scarce (+40,000 Europeans on waiting list), patients are administered high doses of polyclonal immunosuppressants for several days around the time of surgery to prevent rejection. However, current polyclonals are not safe or reliable. Patients respond to these products by developing severe side effects that increase the risk for death & the medical costs. Thus, current polyclonals are only open for one time use. Also, the transplanted organ is severely damaged in the process, reducing its life-survival. In response, the consortium XENOTHERA & AVANTEA has created this project with the main objective of bringing to market a unique platform for the production of safer polyclonals (POLYBOOST). Our innovative method will revolutionize the field of immunotherapy, since it enables production of customized polyclonal products of low antigenicity, which retain a full immunological effect but do not induce side effects. We have proven the efficiency of POLYBOOST by customizing a polyclonal for transplantation medicine. In views of this successful achievement, we now aim to move forward towards the market. Thus, in Phase 1 we plan to assess all the aspects influencing the project from the technical, commercial and financial perspectives. We believe POLYBOOST will bring huge benefits for society and medicine, entering the market with a so long waited for product that will disrupt transplantation medicine. In turn, we expect the project to impact our growth significantly, registering €352 M in revenues and hiring 41 new people in 5 years.

Keywords: polyclonal production,engineered antibodies,transplantation medicine,safer immunotherapy,low antigenicity,transplant protection
Targeting leukaemia by modulating hematopoietic stem cell competitiveness (Hemstem)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany,Switzerland
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1984240.0
EU funding (EUR): 1739846.25
Participants: 3
Project status: SIGNED

Human acute myeloid leukemia (AML) remains a devastating disease with less than 30% of patients surviving five years after diagnosis. Despite decades of research and detailed mo-lecular insights provided by mutational profiling, curative treatment still requires high-intensity chemotherapy and the crude approach of allogeneic stem cell transplantation – an effective, yet non-specific immunotherapy that is costly to the patient because of its severe side effects. One reason why the wealth of molecular and experimental knowledge has so far been unable to revolutionize treatments is the fact that AML is driven by small subpopulations of so-called leukemic stem cells (LSCs), which survive chemotherapy and immune surveillance. LSCs have growth advantages induced by oncogenic mutations, but are in many ways similar to healthy hematopoietic stem cells (HSCs). This similarity makes it difficult to target LSCs without simultaneously eradicating HSCs and healthy hematopoiesis derived from these cells. Like HSCs, LSCs home to protective bone marrow (BM) niches promoting stemness and therapy resistance and modify them to displace HSCs and promote their own expansion. This proposal explores strategies to target LSCs based on understanding these interactions. In Aim 1 we investigate how WNT signaling, an evolutionary conserved pathway governing stem cell self-renewal, regulates interactions between leukemic and healthy hematopoietic (stem) cells. In Aim 2, we propose to inhibit the in vivo expansion of LSCs by enhancing self-renewal and niche affinity in their natural competitors, the healthy stem cells with inborn BM homing ability. Aim 3 uses zebrafish to visualize LSC-HSC interactions and screens for molecules supporting healthy instead of (pre-) malignant hematopoiesis. Our studies will im-prove the knowledge on the complex interactions between LSCs and HSCs and provide a rationale for novel treatments that might lead to a paradigm-shift in the clinical management of AML.

Keywords: hematopoiesis,hematopoietic stem cells,acute myeloid leukemia,leukemia stem cells,zebrafish,niche,xenograft models,translational cancer research
The MICRO-BIO process: a comprehensive platform to capture CO2 from indoor air, transform it into valuable carbon-neutral commodity chemicals (MICRO-BIO)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-01
End date: 2024-01-31
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: SIGNED

Indoor air quality (IAQ) is an important public health concern since most people spend 80-90 % of their time indoors. The coronavirus pandemic has increased the public awareness of the effects of poor IAQ. In enclosed indoor spaces fresh air supply can be very low or null and CO2 levels can reach health-threatening levels. Therefore, there is an increasing need to develop technologies to mitigate atmospheric CO2 and improve IAQ, but also technologies capable of transforming it into value-added products such as carbon-neutral commodity chemicals. The MICRO-BIO process is proposed as a comprehensive platform to capture CO2 from indoor air, transform it into valuable carbon-neutral commodity chemicals by developing a multi-unit, modular, and scalable platform process. The MICRO-BIO process is composed by three different modules: 1st a CO2 micro-concentrator module (CO2-MCM) to efficiently adsorb CO2 from indoor air. 2nd, the Microbial Electrochemical Synthesis Module where the H2 bioelectrochemically produced is mixed with CO2 from the CO2-MCM to produce short chain commodity chemicals. And 3rd, the Microbioreactor Module where the carbon-chain elongation process is performed in a capillary microbioreactor to produce hexanol, a sustainable liquid biofuel with high market demand. Objectives of the proposal: 1) Design and operation of a CO2-MCM prototype to efficiently adsorb CO2 from indoor air. 2) Development of a real-control system for steering gas bio-electro-fermentation towards selective production of hexanol. 3) Set-up a MICRO-BIO process prototype to demonstrate the optimized operation for hexanol production. This fellowship will contribute to addressing the actions included in the Green deal roadmap of the EU, by investing in environmentally friendly technologies and decarbonizing the energy section. Also shares the target of UN Sustainable Development goal titled "Affordable and clean energy”: to facilitate access to clean energy research and technology.

Keywords: indoor air quality,air pollution control,greenhouse gases,carbon dioxide,biodegradation,bioelectrochemical system,carbon chain elongation,microbioreactor,capillary channels,adsorption material
Investigating the structural basis of TREX function in mRNA export using cryo-electron microscopy and super-resolution fluorescence microscopy (TREXSpliceosome)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 174167.04
EU funding (EUR): 174167.04
Participants: 1
Project status: SIGNED

Eukaryotic mRNA is transcribed, capped, spliced and poly-adenylated in the nucleus, but translated in the cytoplasm. Nuclear mRNA export is a key step in gene expression which is still poorly understood in mechanistic detail, but the multi-subunit transcription and export (TREX) complex plays a central role in the process. TREX bridges transcription, RNA processing and packaging to facilitate mRNA export licensing. Understanding TREX function is relevant to human health, as TREX protects against transcription-associated genome instability, is required for development, and has been linked to human disease, including several types of cancer. Despite its importance, many questions about TREX function remain, in particular, how is TREX recruited to mRNA and how is the export factor NXF1-NXT1 deposited on mature mRNA? Here, I propose to study the mechanistic basis of TREX recruitment and function using structural biology and imaging approaches. The host laboratory recently purified an endogenous multi-megadalton spliceosome–TREX complex, whose three-dimensional cryo-EM structure I aim to determine. This will reveal how TREX is recruited to maturing mRNA to read out and relay the presence of activating and repressive marks to, ultimately, decide whether or not to export the mRNA. In close collaboration with the Balzarotti lab (IMP), I will use super-resolution microscopy (MINFLUX) to visualize post-recruitment functions of TREX in situ and test models of how deposition of the mRNA export factor NXF1-NXT is linked to export competence. Taken together, the proposed work will significantly enhance our understanding of TREX as a chaperone of nuclear mRNA processing and export.

Keywords: mrna export,splicing,cryo em,super resolution microscopy,minflux
Large-Scale Experiments of IoT Security Trust (ARMOUR)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Belgium,Greece,France,France,France,France,France,Portugal
Call: Integrating experiments and facilities in FIRE+ (H2020-ICT-2015, 2015)
Start date: 2016-02-01
End date: 2018-01-31
Duration (months): 24.0
Total project cost (EUR): 1999558.75
EU funding (EUR): 1999558.75
Participants: 11
Project status: CLOSED

The Internet-of-Things (IoT) is rapidly heading for large scale meaning that all mechanisms and features for the future IoT need to be especially designed and duly tested/certified for large-scale conditions. Also, Security, Privacy and Trust are critical elements of the IoT where inadequacy of these is a barrier to the deployment of IoT systems and to broad adoption of IoT technologies. Suitable duly tested solutions are then needed to cope with security, privacy and safety in the large scale IoT. Interestingly, world-class European research on IoT Security & Trust exists in European companies (especially SME) and academia where even there are available technologies that were proven to work adequately in the lab and/or small-scale pilots. More, unique experimental IoT facilities exist in the EU FIRE initiative that make possible large-scale experimentally-driven research but that are not well equipped to support IoT Security & Trust experiments. But notably, Europe is a leader in IoT Security & Trust testing solutions (e.g. RASEN toolbox, ETSI Security TC, etc.) that can be extended to large-scale testing environments and be integrated in FIRE IoT testbeds for supporting experimentations. The ARMOUR project is aimed at providing duly tested, benchmarked and certified Security & Trust technological solutions for large-scale IoT using upgraded FIRE large-scale IoT/Cloud testbeds properly-equipped for Security & Trust experimentations. To this, ARMOUR will: (1) Enhance two outstanding FIRE testbeds (> 2700nodes; ~500users) with the ARMOUR experimentation toolbox for enabling large-scale IoT Security & Trust experiments; (2) Deliver six properly experimented, suitably validated and duly benchmarked methods and technologies for enabling Security & Trust in the large-scale IoT; and (3) Define a framework to support the design of Secure & Trusted IoT applications as well as establishing a certification scheme for setting confidence on Security & Trust IoT solutions.

Keywords: internet of things,security,trust,large scale,experiments,testbeds,fit iot lab,fiesta,benchmarking,certification,application
Transformations with Neutrals and Turbo analyses (TNT)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

The LHCb experiment at CERN was created in order to investigate decays of beauty and charm mesons produced in the proton collisions of the Large Hadron Collider (LHC). Through measurements of the observables in such decays, for example amplitudes and phases in the angular distributions of decay products, the effects of New Physics can be discovered. Disproving the Standard Model (SM) predictions through so-called flavour observables is an exciting approach to discover the answers to the questions the SM cannot solve, such as the source of the matter-antimatter differences necessary for our existence. The large backgrounds present in proton-proton collisions mean that large quantities of data must be processed, for example if all events were kept from the nominal LHCb luminosity, this would equate to ~50PB of raw data. The TNT project will enhance the physics abilities of the LHCb experiment, and will also dictate the future direction of Big Data analytics in High Energy Physics. The first two goals of this TNT project involve two new analyses of b→s transitions decaying to neutral particles, namely Bd→K*(→KSπ0)μμ and Bs→γγ, that provide complementary experimental inputs to New Physics searches. The study of these transitions will expand the physics case for the LHCb experiment and will involve the creation of new collaboration tools for the optimisation of all analyses with a single neutral particle. The third and final goal of the TNT project aims to optimise the LHCb data processing model through the extensive use of real-time analysis. Building on the success in 2015 and 2016 of the Turbo stream, allowing physics analyses to be performed with the LHCb trigger event reconstruction, the extension of this principle to flexibly save any required part of the event will transform the data processing model, permit all LHCb analyses to be performed in real time.

Keywords: big data,flavour physics