Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0 (TALON)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Italy,Greece,Luxembourg,Cyprus,Spain,United Kingdom
Call: Verifiable robustness, energy efficiency and transparency for Trustworthy AI: Scientific excellence boosting industrial competitiveness (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2021-HUMAN-01, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 3769382.5
EU funding (EUR): 3769382.5
Participants: 18
Project status: SIGNED

Next-generation industrial systems promise to deliver unprecedented excellence not only in terms of performance, but also explainability, trustworthiness and transparency. To achieve this new objectives, state-of-the-art concepts of artificial intelligence (AI), edge-to-cloud (E2C) computing, blockchain, and visualisation need to be de-risked and applied. Motivated by this, TALON aims at sculpturing the road towards the next Industrial revolution by developing a fully-automated AI architecture capable of bringing intelligence near the edge in a flexible, adaptable, explainable, energy and data efficient manner. TALON architecture consists of three fundamental pillars: a) an AI orchestrator that coordinates the network and service orchestrators in order to optimise the edge vs cloud relationship, while boosting reusability of datasets, algorithms and models by deciding where each one should be placed; b) a lightweight hierarchical blockchain schemes that introduce new service models and applications under a privacy and security umbrella; and c) new digital-twin empowered transfer learning and visualization approaches that enhance AI trustworthiness and transparency. It combines the benefits of AI, edge and cloud networking, as well as blockchain and DTs, optimized by means of a) new key performance indicators that translate the AI benefits into insightful metrics; b) novel theoretical framework for the characterisation of the AI; c) blockchain used to deliver personalised & perpetual protection based on security, privacy and trust mechanisms; d) AI approaches for automatically and co-optimising edge and cloud resources as well as the AI execution nodes; e) semantic AI to reduce the learning latency and enhance reusability; and f) digital twins that visualize the AI outputs and together with human-in-the-loop approaches. All the technological breakthroughs are demonstrated, validated and evaluated by means of proof-of-concept simulation and four real-world pilots.

Keywords: self configured artificial intelligence,greener ai,human machine communication,socially aware ai,distributed edge ai networks
ImprovinG waste management through an AI-powered detection system of batteries utilising data from X-Ray detectors and pick-and-place robots. (Grinner)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Poland,Belgium,Greece,Sweden,Romania,Italy,United Kingdom
Call: AI, Data and Robotics for the Green Deal (AI, Data and Robotics Partnership) (IA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 2528422.5
EU funding (EUR): 2078673.0
Participants: 7
Project status: SIGNED

The WEEE (waste from electrical and electronic equipment) management chain has realised an explosion of fire incidences, caused by carelessly discarded batteries into either recycling bins or black rubbish bags, where they are easily damaged by sorting equipment and start to burn, endangering human lives, disrupting waste services and causing millions of Euros of damage (from €190,000 up to €1.3m per fire incident). The Grinner project aims at commercialising an autonomous AI-enabled robotic sorting system capable of detecting and removing waste containing batteries from current waste streams before they enter inhospitable-to-battery machines that crush and consolidate waste. The system will comprise (i) the fastest Energy-resolved X-Ray detectors in the market, (ii) an ML-enabled software module that will analyse X-Ray data and effectively detect waste containing batteries while passing through the waste flow and vision-based pick-and-place robot(s) that will remove the flagged WEEE. Project objectives: • Build an X-Ray data set of WEEE scrap. • Customisation of the X-Ray system • Develop the AI software module for detection of batteries within WEEE using X-Ray data. • Deploy a vision-based robotic solution capable of Picking-and-Placing WEEE • Develop, integrate and install a prototype system in a WEEE facility environment to conduct live trials and validate Grinner. • Explore the potential exploitation of Grinner as an economically viable, stand-alone product for recycling facilities.

Keywords: x ray imaging battery fires in weee multi level energy resolving,x ray detectors zombie batteries
The Interchange Between Democratic Institutions and the Globalisation of the Economy (DemoTrans)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Democracy and Governance
Action type: Research and Innovation actions
Countries involved: Belgium,Norway,Netherlands,Czechia,United Kingdom
Call: Economic models and modern democracies (HORIZON-CL2-2021-DEMOCRACY-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 2630148.75
EU funding (EUR): 2630148.75
Participants: 5
Project status: SIGNED

Following World War II, globalisation and market liberalisation triggered a period of unprecedented growth. Recently, these trends appear to reverse, whereby globalisation and corporations started to pose challenges for liberal democracy, social cohesion and environmental sustainability. DemoTrans is an impact-driven research project that will provide theoretically and empirically robust recommendations on how to reinvigorate democratic governance by improving the accountability, transparency, effectThe notion that liberal, representative democracy is in some form of crisis ? or even a terminal decline ? has been brought forward by numerous scholars (for a recent review, see Bickerton & Accetti, 2021). While the globalisation and liberalisation of markets triggered a period of unprecedented growth ? as well as improvements in standards of living and consolidation of liberal democracies ? in the decades following the Second World War, we have recently witnessed a substantial reversal in these trends. Today, globalisation and global corporations rather appear to bring challenges to liberal democracy, social cohesion as well as the environment. The academic literature studying these developments often focuses on describing and interpreting what is going ?wrong?. However, the key challenge is to outline and understand the new type of politics that is emerging in its place as well as to envisage and develop the contours of new promising approaches to re-embed democracy and capitalism. This key challenge lies at the heart of the DemoTrans project, and we address it by bringing together a multidisciplinary consortium of six experienced and leading research groups from four European research universities and an NGO with a strong track record. Building on their wide-ranging expertise, DemoTrans will develop novel theoretical and empirical academic research aimed at robust recommendations that encouraging stronger democratic accountability and inclusion in economic processes.

Keywords: democracy capitalism accountability governance corporate lobbying
Horse Power: Interactions between China, Mongolia and the steppe 2000-0 BCE (Horsepower)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: France,United Kingdom,Germany
Call: ERC Synergy Grants (ERC-2022-SYG, 2022)
Start date: 2023-06-01
End date: 2029-05-31
Duration (months): 72.0
Total project cost (EUR): 8707028.75
EU funding (EUR): 8707028.75
Participants: 5
Project status: SIGNED

Horse Power will examine the complex interactions between the eastern steppe and China from the second millennium BCE to the formation of the Xiongnu empire in Mongolia and the Qin state in China after 300 BCE. From the second millennium BCE two great worlds formed, traded and fought across Eurasia. From Mongolia to the European steppe great horse and herding cultures coalesced across thousands of kilometres of grassland. To the south, a string of states existed from Egypt to the Chinese Central Plains, some already ancient and others newly created. Interaction between these worlds was constant and profoundly formative for all parties, a fact we are only starting to fully appreciate. To examine the connections between the steppe, Mongolia and China’s Central Plains we will combine the latest scientific techniques in genetics and metallurgical analysis with theory concerning politics and power within and between China and its northern neighbours. Three principal empirical elements underpin the project: ancient DNA from horses; the characterization of bronzes to throw light on their movement and recycling; the structure and contents of archaeological sites (mainly graves) in China, Mongolia and the steppe. We will develop theory on the nature of leadership and power, particularly in mobile societies. Science will meet social science in a mutually informative manner and we will work across linguistic boundaries (Chinese, Mongolian, Russian, English) in a spirit of the co-production of knowledge with important partners including The Emperor Qin Shihuang’s Mausoleum Site Museum in China and Mongolian universities. We will reflect on our working practices, engaging a broader public in how a complex research project works. An innovative artistic programme will engage a range of local communities, horse enthusiasts and local artists in the work and results of the project. Working together we will create a picture of this complex region impossible if we had worked alone.

Keywords: cosmology,horse genetics
Stationary Random Subgroups (SRS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Israel
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-05-01
End date: 2028-04-30
Duration (months): 72.0
Total project cost (EUR): 2149023.0
EU funding (EUR): 2149023.0
Participants: 1
Project status: SUSPENDED

The notion of invariant random subgroups (IRS) has proven extremely useful during the last decade, particularly to the study of asymptotic invariants of lattices. However, the scope of problems that one can investigate when restricting to invariant measures (on the space of subgroups) is limited. It was recently realised that the notion of stationary random subgroups (SRS), which is much more general, is still extremely powerful and opens up new paths to attacking problems that previously seemed to be out of our reach. Notably, the notion of stationary random subgroups has turned out to be a wonderful new tool in the analysis of discrete subgroups of infinite co-volume, and, in particular, thin subgroups of arithmetic groups. A few months ago M. Fraczyk and I proved, using SRS, the following conjecture of Margulis: Let G be a higher rank simple Lie group and Λ ⊂ G a discrete subgroup. Then the orbifold Λ\G/K has finite volume if and only if it has bounded injectivity radius. This is a far-reaching generalisation of the celebrated Normal Subgroup Theorem of Margulis, and while it is new even for subgroups of lattices, it is completely general. One of the main problems we wish to solve is the variant of the Schoen–Yau Conjecture postulated by Margulis; namely, that higher rank, locally symmetric manifolds Λ\G/K of infinite volume are not Liouville. A positive answer would have many applications in the theory of discrete subgroups of Lie groups. Some exiting applications are possible using partial results.

Keywords: discrete subgroups of lie groups,lattices,arithmetic groups,invariant random subgroups,rigidity,locally symmetric spaces
Development of smart skin for high resolution multi-sensing (Smart Skin)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Italy
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2023-09-01
End date: 2025-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: CLOSED

Artificial skins are made of sensors embedded in flexible matrices that record several stimuli from the environment and transform them into measurable signals. At the moment, different sensors have to be implemented in the electronic skin matrix for each stimulus. As a result, the existing technologies are complex, expensive, sometimes based on toxic materials or are not able to demonstrate multi-stimuli responsiveness and high resolution. With Smart Skin we will create a prototype for artificial skin that will surpass others already existing on the market by responding at the same time to three stimuli: temperature, force and humidity with high spatial resolution and better mimicking with such integrated response the sensitivity of the human skin. The sensing unit is done by a combination of two materials to reduce the required number of active sensing layers, while still being capable of multi-stimuli responsiveness. A smart material, responsive to humidity and temperature, is integrated as core in a piezoresponsive shell. Nano-structuration of such sensing unit in core-shell site-specific geometrical layouts allows to create a sensing network with spatial resolution down to 1mm (human skin’s resolution ) and lower. This unique architecture is achieved thanks to the use of state-of-the-art fabrication techniques with high control over material properties, as well as, material uniformity. The advantage of using dry, vapor-based, processing is that it is possible to cumulate features from precursors with different solubilities and with engineered composition gradients, which are difficult to obtain by conventional chemical synthesis. Robotics and smart prosthetics would greatly benefit from a more integrated and precise sensoring information. Enabling these new features would make robots used in households, for example, aware of dangerous increases in temperature and in general more human friendly because they would be more responsive.
Dissecting early Skin-based immune responses to PARasites in ControLled human infection studies to design novel vaccines (SPARCL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Immunity, Infection and I mmunotherapy
Panel description: The immune system , related disorders  and their mechanisms , biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases , innovative imm unological tools and approaches , including  therapies
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1499894.0
EU funding (EUR): 1499894.0
Participants: 1
Project status: SIGNED

Parasitic diseases cause considerable morbidity and mortality in poverty-stricken areas, affecting hundreds of millions of lives globally. Vaccines are urgently needed to alleviate disease and lift the economic consequences. Plasmodium falciparum malaria, Schistosoma mansoni and Necator americanus hookworms are together responsible for the greatest burden of disease. Vaccination with attenuated parasites is an efficacious strategy in inducing immunity to parasites in animal models. Recently, we have translated attenuated parasite vaccination to humans in proof-of-concept clinical trials in which we protected subsets of individuals from challenge. This unique preliminary data indicates a role for the skin as a prime immunological organ. Based on these findings, I propose to create a next generation highly immunogenic, adjuvanted whole parasite vaccines, ready for pre-clinical testing. We will build on our previous experience with chemical tools to load whole parasites with adjuvants. To measure the potency of the new vaccines, we aim to measure early skin-based humoral and cellular immune markers which correlate with protection in our samples from prior and novel controlled human infection models. We will assess the functionality of antibodies by adapting our current molecular imaging tools to quantitatively analyze movement kinematics of parasites in representative 3D environments resembling the human skin. Cellular correlates of protection in skin will be mapped using imaging mass cytometry on freshly obtained skin biopsies from experimentally infected volunteers. Through combined, parallel analysis of circulating immune markers by high-dimensional flow cytometry, we aim to take a comprehensive approach including local and circulating markers to identify protective immune responses. This high-risk high-gain proposal is aimed to break the impasse in the field of parasite vaccine development and open a novel out-of-the-box avenue to fill the vaccine pipeline.

Keywords: controlled human infection,parasitology,parasite host interaction,plasmodium falciparum malaria,schistosoma mansoni,necator americanus hookworm
Green Crimes and Joint Crime Ventures: Laundering Natural Resources (GREENLAUND)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
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): 1499281.25
EU funding (EUR): 1499281.0
Participants: 1
Project status: SIGNED

The high value and scarcity of natural resources increasingly attracts criminal entrepreneurs operating in the legal economy. The laundering of natural resources is a prime example where illegally obtained natural resources are converted into legal products. Consequently, consumers buy products, such as a gold wedding ring, a hardwood floor, or endangered species, as ‘legitimate’ on the international market and unknowingly become part of a trade with devastating environmental effects. To facilitate laundering, crime groups interact with corporations and state actors, as joint crime ventures. The proposed research aims to understand how and why joint crime ventures launder natural resources and what the environmental impact is. Contemporary developments in environmental crime networks signal the expansion of grey areas of business where the separation between conventional and non-conventional criminals is no longer appropriate for understanding and dealing with the increasing complexities of environmental crime. Therefore, it is essential to develop an innovative approach to fill this theoretical and empirical gap. By analysing coercive, economic, and political interactions between crime groups, corporations, and state actors, this study will build a new line of research and reveal the causes, incentives, and environmental harms of laundering natural resources. The environmental impact of laundering is illustrated by rapidly disappearing rainforests, large-scale pollution, and the mass extinction of species. Yet, laundering natural resources has been the subject of rather limited study. This research introduces a novel combination of cluster analysis of environmental crime cases, multi-sited field research, and crime script analysis that ensures a unique mixed-method perspective. The insights will be crucial for scientists, policymakers, corporations, NGOs, and law enforcement to develop inventive solutions to prevent and tackle the laundering of natural resources.

Keywords: green criminology environmental crime green crimes environmental harm crimes against nature
Development of Kasuria's code tech product- analytical engine (Kasuria GmbH)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Germany
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2023-12-31
Duration (months): 6.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Kasuria applies data science to blockchain data with a purpose to provide its users (financial institutions/bank/ financial regulators) with clarity on how a specific Decentralized Finance applications generate profit and how risky they are. This data enables the customers to optimally align their own investments in cryptocurrencies and tokens as well as other "DeFi" (Decentralized Finance) services. The actual data are quantitative investment metrics using performance and risk indicators that can be calculated retrospectively, i.e. from historical transactions on blockchains, using data analytics. Kasuria's customers need this data for their research and reporting purposes (e.g. for benchmarking or the securities prospectus according to local financial regulatory requirements- such as requested by BaFin in case of Germany) and in particular to be able to quantitatively under- or substantiate the asset selection as part of their own fund and investment strategy.

Keywords: data science,blockchain