Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
CIRSEAU. BUILDING A WATER-SMART ECONOMY AND SOCIETY (CIRSEAU)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Other Bio-environnement destinations
Action type: Coordination and support actions
Countries involved: Spain,Netherlands,Norway,Belgium,Greece,Germany
Call: Harnessing the innovation potential and market uptake of successful circular economy water related projects (HORIZON-CL6-2023-CIRCBIO-01, 2023)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 2225632.24
EU funding (EUR): 1999989.38
Participants: 11
Project status: SIGNED

To accelerate the transition to a circular economy, the European Commission (EC) promoted alternative water resources in the Horizon 2020 Framework. To increase water use efficiency and reuse, the call CE-SC5-04-2019 funded five different projects (B-WaterSmart, WIDER UPTAKE, REWAISE, ULTIMATE and WATER-MINING). These five projects run from 2020 to 2025, with a total budget of 84 M€, and EU contribution of 71.5 M€, and share the objectives of identifying alternative water sources, reducing water consumption, increasing use efficiency, recovering valuable materials from water, producing carbon-free water cycles, and increase resilience to climate change. To leverage the resources from EC wisely, the five coordinators decided to share common knowledge, promoting synergies and avoiding reinventing the wheel. This resulted in the creation of a cluster called CIRSEAU, to connect 143 partners in more than 20 countries, reaching almost all members stated of the European Union (EU), in addition to countries like India or Ghana outside the EU. Building on the alliance formed to foster cross-promotion, communication alignment, and impactful outreach for the five projects funded under the EU research call on building a water-smart economy and society (CE-SC5-04-2019). To reach the outcomes of this CSA, additional experts and partners have been asked to complement experience and competence of CIRSEAU. This consortium brings together 10 partners from 6 countries (BE, DE, ES, GR, NL and NO) to provide multidisciplinary expertise and trans-nationality required to foster cross-promotion, communication alignment, and allow impactful outreach to public authorities, policy makers, and standardization bodies. The main objective of the CSA is to build a collaborative ecosystem that generates strong synergies among the Circular Water Economy Community formed across EU projects, and to expand the CIRSEAU cluster to enhance market uptake, collaboration and knowledge sharing.
Growing up among bright books and generous genes: The InterGenerational cycle of educational achievement (InterGen)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 1663193.0
EU funding (EUR): 1663193.0
Participants: 1
Project status: SIGNED

Poor educational achievement in childhood is a major risk factor for poor health and low income in adulthood. Poor educational outcomes tend to run in families, generating a cycle of inequality. Children whose parents talk and read less to them, tend to struggle in school. This parent-child association has been interpreted as a causal effect of parenting, but parents provide their children not only with a rearing environment, but also genes. We can only discover causal effects of the home learning environment (e.g., parent-child interactions, reading storybooks) if we control for genetics or run an RCT. My overarching aim is to discover which aspects of the home learning environment causally impact children’s language, reading, and math development. INTERGEN will use a variety of innovative observational and experimental designs. We will employ existing rich datasets and collect novel data to triangulate four intergenerational (i.e., parent-child) designs. Using an online-learning platform, we will assess parent and child literacy and numeracy in 3000 twin families. In an RCT, 2000 of these families will get access to the online-learning platform to boost the home learning environment. INTERGEN will: 1. Include gene-environment interplay in studying children’s motivation, literacy and numeracy development 2. Discover which features of the home learning environment have a causal impact on learning 3. Test the effectiveness of offering families an online-learning platform to practice literacy and numeracy My training and established network in both education and genetics, combined with recent breakthroughs in statistical modelling, gene-finding work, and educational technology, make me uniquely suited to lead this timely project. INTERGEN has the ground-breaking opportunity to unravel the mechanisms underlying familial educational disadvantage. This will inform policy on how to target malleable causal mechanisms to ensure that all children can learn and thrive.

Keywords: educational behavioural genetics twin studies on reading ability gene environment interplay children of twins model
Protease‐guided tumor targeting tools to revolutionize cancer diagnosis and treatment. (OncoProTools)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Belgium,Denmark,Germany,Spain,Portugal,Italy,Netherlands,Switzerland,Hungary
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 2431879.26
EU funding (EUR): 2255359.72
Participants: 22
Project status: SIGNED

Europe has a high cancer burden: in 2020, 2.7 million EU citizens were diagnosed with the disease and 1.3 million lost their lives to it. This toll is expected to increase further, mainly because Europe's population is ageing: by 2035, cancer will be the leading cause of death in the EU. In 2021, the EC published its ‘Europe's Beating Cancer Plan’ (EBCP), calling for a big push in cancer research. Cancer diagnostics and therapeutics should rapidly become more effective and selective, patient-friendly and personalized. All these goals are directly addressed by developing better tumor targeting strategies. Typically, they consist of equipping diagnostics and therapeutics with a vector unit. The vector unit binds to a protein that is overexpressed on cancer cells or in the Tumor Micro-Environment (TME), causing the diagnostic or therapeutic payload to accumulate in the tumor. Over the last decades, huge effort has gone in approaches that use antibodies as vectors, but return-on-investment has overall been rather poor. Exciting, recent innovations rely on small molecule vectors that target TME proteases. Proteases are ideal candidates for tumor targeting: they are often strongly overexpressed in the TME and possess an active site that allows high-affinity anchoring of vectors. Members of this consortium have played a leading role in these developments. OncoProTools wants to force breakthroughs in cancer diagnosis and therapy by: 1) Exploring innovative venues for protease targeting in CAR T cell therapy. 2) Discovering novel vectors that bind to other TME proteases: cathepsins S, B, L and granzyme B 3) Personalize applications of protease targeting: deliver innovative diagnostics through deeper understanding of TME biology. At the same time, OncoProTools will deliver a training program that truly captures the MSCA values, to 10 Doctoral Candidates. They will be provided with all capabilities to become leaders of tomorrow's R&I in Europe.

Keywords: protease,oncology,diagnostics,pet,tumor targeting
Innovative alkaline earth systems for the activation and functionalization of dinitrogen and other challenging substrates (AE-FUN)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-06-01
End date: 2025-05-31
Duration (months): 24.0
Total project cost (EUR): 172018.56
EU funding (EUR): 172018.56
Participants: 2
Project status: CLOSED

Catalysis is a powerful tool to address profound challenges in Europe’s energy transition. However, many current catalytic systems face important limitations in relation to activity, selectivity, or cost efficiency. Particularly, the production of ammonia relies upon the century-old energy-intensive Haber-Bosch process, which is estimated that consumes up to 3% of the global energy produced every year. This EU-funded AE-FUN project will develop innovative systems based on earth-abundant, readily available alkaline earth metals for the challenging conversion of dinitrogen into ammonia and other nitrogen-containing valuable chemicals. This will be achieved by harnessing the unexplored modes of cooperativity between transition metals and low-valent alkaline earth elements. We envision that unusual participation of d the orbitals from the Ae element and the redox activity of transition metals will give place to unseen synergies that will facilitate the activation of highly challenging substrates (N2, CO2, CO, H2) and their functionalization.

Keywords: main group chemistry,bimetallic chemistry,alkaline earth metals,nitrogen reduction,homogeneous catalysis
Truly Carbon Neutral electricity enhanced Synthesis of Liquefied Natural Gas (LNG) from biomass (CarbonNeutralLNG)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Greece,Italy,Austria,Sweden,Lithuania,Canada
Call: Hybrid catalytic conversion of renewable energy to carbon-neutral fuels (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2022-11-01
End date: 2027-02-28
Duration (months): 52.0
Total project cost (EUR): 3306160.0
EU funding (EUR): 3306160.0
Participants: 14
Project status: SIGNED

CarbonNeutralLNG targets the truly carbon neutral use of biogenic carbon to replace fossil fuels for the transportation sector with renewable electricity enhanced bioLNG. Non-electric transport will depend on liquid and gaseous energy carriers like Liquefied Natural Gas (LNG). BioLNG is particularly advantageous as high density liquid fuel for the heavy duty truck and the marine transportation sector. A proposed hybrid catalytic process combines chemical catalytic and biological methanation with electro methanogenesis in order to reduce process complexity and maximise carbon efficiency. Low-cost renewable electricity will be the main driver for reduced marginal costs for the bioLNG’s production. The experimental work addresses the hybrid catalytic process chain’s main units and focuses on the development and testing of a “Sorption enhanced e-gasifier” (WP1), and additively manufactured “Chemical Catalytic Raw Methanation” reactor (WP2) and the “Biological Methane conditioning” (WP3) by means of biological methanation and electro-methanogensis. Work packages 4 and 5 will include an “Impact assessment at environmental and socio-economic level” (WP4) and a “Roadmap to replication: market and policy assessment” (WP5). They will mainly address monitoring and avoidance of fugitive methane emissions facing the upcoming Regulation (EU) on “Methane emissions reduction in the energy sector” and will in particular prepare technical and legal recommendations to avoid methane emissions in LNG infrastructures. Artificial Intelligence (AI) based “Advanced Process Control and Scale-up considerations” (WP6) and the operation of the complete process chain will finally provide a proof-of-concept for the proposed process at TRL 3-4. The work package „Coordination and Dissemination” (WP7) establishes a “Technology transfer and Dissemination Multiplier Board” with stakeholders and policy makers and will include several workshops, conferences and social media communication.

Keywords: lng,catalytic methanation,biological methanation,electro methanogenesis,carbon neutral
Increasing biomass conversion efficiency to carbon-negative sustainable biofuels by combination of thermal and bio-electrochemical processes (NET-Fuels)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Spain,Poland,United Kingdom,Austria
Call: Carbon-negative sustainable biofuel production (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2022-11-01
End date: 2026-10-31
Duration (months): 48.0
Total project cost (EUR): 4501739.0
EU funding (EUR): 4501739.0
Participants: 8
Project status: SIGNED

NET-Fuels develops a novel pathway to produce carbon-negative biofuels from low value biogenic residues (such as digestate, calamity wood, pruning) through a combination of thermochemical conversion, separation of hydrogen from the syngas, oxy-fuel combustion of the tail gas, bio-electrochemical conversion of CO2 into methane and carbon sequestration in the biochar. The process will also generate as an additional product a biofuel intermediary (high quality pyrolysis oil) which has proven conversion route into drop-in fuels. The project will take the integrated process to TRL 5, providing a platform (in terms of technical feasibility, economic performance, and environmental and social sustainability) for further demonstration and validation projects. In doing so it brings together a consortium of internationally recognized experts in biomass thermochemical conversion, bioreactors design, environmental sustainability and life cycle analysis, dynamic modelling, biochar utilisation, economic analysis and business case development and dedicated outreach, public engagement, and social sustainability analysis. The Net-Fuels system will be able to deliver 25 Mtoe of advanced biofuels in 2030 (7% share of the transport fuel consumption), if exploiting between one third and one fourth of the total pool of available feedstock listed in Part A of Annex IX in Europe. In correspondence of such objective, NET-Fuels will ensure 110 Mt of CO2 of net negative emission.

Keywords: advanced biofuels biochar bio electrochemical methanation carbon capture and utilisation pyrolysis oxy fuel combustion
NEUROMOPHIC SYSTEMS BASED ON MEMRISTOR AND FERROELECTRIC DEVICES FOR COMPUTING APPLICATIONS (NEMERFEC)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Argentina
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2027-02-28
Duration (months): 30.0
Total project cost (EUR): 206641.2
EU funding (EUR): 206641.2
Participants: 5
Project status: SIGNED

Artificial neural networks (ANNs) are simplified models and hardware that simulate how the brain of living beings, especially humans, process information. ANNs are inspired by the nervous system and biological behavior, creating a layered interconnection system of artificial neurons that collaborate to process input data and generate output. ANNs differ from other AI models in having the ability to learn automatically (machine learning). This technology has enormous current impact and potential for future applications, just to mention a few ones: autonomous vehicles, renewable energy, economy and financial predictions, computer visions, and disruptive medicine and health care services. In the last decade, ANNs have become a very popular topic, but the technology itself has been around for many decades with several problems yet to be solved. For example, current computer systems are highly inadequate in terms of data processing, storage and transmission. Aspects related to energy consumption are also an unsolved problem, where the rational use of energy and natural resources is a fundamental objective of global sustainability. NEMERFEC aims to realize novel ANNs through the development of hardware based on memristive and ferroelectric material systems. Such thin films of binary and complex oxides are to be deposited by physical ablation methods, such as PLD and sputtering, with a high degree of control during deposition. Advanced characterization techniques, microfabrication and nanofabrication of devices will be performed at the clean room facilities of the Aragon Nanoscience and Materials Institute (INMA-CSIC) to obtain ANNs at nanometric scales and with an ultra-fast response time. The final ANNs will be implemented in the analysis of thermal images in hyperthermia processes with magnetic nanoparticles at the Nano Scale Biomagnetics company during the non-academic placement period. These possible results will be completely novel in this type of application.

Keywords: artificial neuronal network,nanotechnology,memristor,ferroelectric,thin films
Overcoming Multilevel INformation Overload (OMINO)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Poland,Japan,United States,United Kingdom,Israel,Austria,Slovenia,Germany,Singapore,Australia,China,Netherlands
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 1336628.57
EU funding (EUR): 1297200.0
Participants: 27
Project status: SIGNED

In today's world, access to information thought of as the resolution of uncertainty; is often considered as a benefit or even as an indisputable human right. There is, however, the “dark side” of information: the abundance of data beyond one’s capacity to process them leads to so-called information overload (IOL). This notion had troubled mankind long before even the print was invented and examined from different points of view, ranging from neuroscience to journalism. IOL is, however, usually considered at the individual level by examining a single factor or a specific level that eventually leads to switching off an active individual. The influence of IOL appearing simultaneously at different levels, i.e., a multilevel information overload is unknown, though. These observations lead to setting the main aim of the OMINO - Overcoming Multilevel INformation Overload project in a form of the following objectives: (1) create and apply means to measure multilevel IOL in different systems as well as methods to model IOL and counter-measures to mitigate this phenomenon, (2) training and knowledge exchange on IOL between partners in different domains using expertise from universities in U.S., Singapore and Japan, (3) intersectoral knowledge transfer between academia and the media industry (Slovenian and Austrian Press Agencies) by exposing researchers to real-life problems and giving business access to innovative methods and tools for information analysis. One of the most important aspects of the undertaken research area is its interdisciplinary nature, requiring joint work of experts in different fields and topics, i.e., social sciences, neuroscience, journalism, computing, data mining and complexity science. OMINO will accelerate individual careers of involved researchers, especially early stage ones and increase their employability. The project will lay foundations for long-term collaboration by strengthening existing links between partners and creating new ones.

Keywords: information overload,data science,complex systems,digital media,press agencies,journalism,information retrieval,recommender systems,altmetrics
Farm-noise: AI-based optimization to minimise tidal turbine noise and the impact on marine fauna (Farm-noise)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,United Kingdom
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-02-17
End date: 2027-02-16
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: SIGNED

Tidal energy presents a promising solution for addressing the growing demand for sustainable energy. Extensive research efforts have been dedicated to refining individual turbine efficiency and optimizing tidal farms to maximize energy output. However, as tidal farms scale up, there's a consequential rise in noise emissions that can prove detrimental to underwater ecosystems. This issue necessitates a dedicated focus on the development of noise-reducing farms. While tidal turbine design has, to date, been focused on energy production, fatigue load and lifespan of the blades and paid little attention to the acoustic footprint and subsequent effects on the environment, it is urgent to design silent energy farms to reduce the noise impact on local fauna. Farm-noise intends to: 1) characterise individual tidal turbines and construct simple models (surrogates) for their representation; 2) provide mechanisms for the acoustic control/minimisation. We will characterize tidal turbines and farms using computational fluid dynamics and large eddy simulations. Based on the simulations and the extracted physical insight, accurate surrogate models for turbines and associated acoustics will be developed to enable optimization of farms that minimize noise while ensuring energy production. Machine learning based reinforcement learning methodologies will be used to optimize and control the trade-off between energy production and noise emission. Compromises between energy and sound generation will finally be reached automatically for specific sites taking into account ambient conditions and local fauna. The expected research results will not only provide theoretical and methodological support for the design and silent operation of large tidal farms but also promote the ecological sustainability of the tidal industry. The outcomes and impacts will be maximized and disseminated to various communities by peer-reviewed articles, conferences, workshops and outreach activities, etc.

Keywords: acoustic tidal turbine large eddy simulation surrogate reinforcement learning machine learning optimization and design marine animals noise emission