Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Objects, Spaces and Material Culture. Gender and Politics in Early Modern European Republics (Venice, Genova, XV-XVIII centuries) (OSpaMa)

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: Social Sciences and Humanities
Countries involved: Italy,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 288859.2
EU funding (EUR): 288859.2
Participants: 3
Project status: SIGNED

To this day, and even in Europe, gender balance in decision-making remains a goal to be achieved. This condition has historical roots, and the power of informal leadership still remains to be investigated further. The predominantly male European republics of the modern age were careful to mark gender boundaries, excluding women from the direct exercising of power. In republican contexts, unlike queens, princesses, and duchesses, the consorts of the men in power did not have the privilege of providing the heir to the throne, so traditional historiography has generally considered their role to be very marginal, if not entirely irrelevant. The aim of the project is to challenge this established idea, using new sources and an innovative interdisciplinary methodological approach. Considering, from a comparative perspective, two Italian republics that maintained their independence until the end of the 18th century (Venice, Genoa), the investigation will examine the prominence of the Doges' wives and female relatives, the creation and use of gendered spaces, the purchase and placement of furnishings in public and private apartments, and the display strategies pursued. Particular attention will be given to clothing, jewellery and objects in contact with the body. Alongside written sources, iconographic sources and objects preserved in museums will be analysed, taking into account the sensory dimension and the three-dimensionality of things. The aim is to go beyond the limits of written sources and traditional historiography, focusing on material culture, in order to re-evaluate the identity and role of women in republican political contexts, to define their sphere of influence and agency, to grasp their attempts to negotiate power and their strategies to promote private and public interests, and to bring to light their contribution to the - still open - path towards gender equality.

Keywords: early modern europe european republics,dogi,dogaresse,palazzo ducale,material culture,gender and politics,objects
Correlations-Oriented Representation Learning (CORaL)

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: Physics
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-10-01
End date: 2026-09-30
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

Deep learning methods have propelled many of the recent remarkable achievements of artificial intelligence, yet their inner workings remain enigmatic. How do these methods represent the training examples in their multiple processing layers? How are these representations used to make decisions on previously unseen data? The Correlation-Oriented Representation Learning (CORaL) project delves into the intricate relationship between data correlations and the hidden representations of deep neural networks. CORaL's core objectives encompass: i) characterizing the structure of data correlations in tasks where deep learning methods excel; ii) providing a theoretical description of the interplay between the learning dynamics of deep networks and data correlations; and iii) validating these theoretical insights on benchmark machine-learning datasets. The Researcher will approach these objectives with an effective mix of numerical experiments, scaling descriptions and rigorous arguments, inspired by statistical physics and fostered by the unique interdisciplinary scientific community of SISSA. By describing the impact of data correlations on representation learning, CORaL holds the potential to enhance the interpretability and efficiency of deep learning methods across diverse domains, while also enhancing our general understanding of the principles of learning from examples.

Keywords: deep learning theory,physics of deep learning,representation learning,hierarchical learning
CLIMAte change citizens engagement toolbox for dealing with Societal resilience (CLIMAS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Adaptation to climate change
Destination: Adaptation to climate change
Action type: Research and Innovation actions
Countries involved: Lithuania,Spain,Belgium,Austria,Greece,Romania,Italy,Latvia,Germany,United Kingdom
Call: Local engagement of citizens in the co-creation of societal transformational change for climate resilience (HORIZON-MISS-2021-CLIMA-02, 2021)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 2817902.5
EU funding (EUR): 2817902.5
Participants: 20
Project status: SIGNED

Climate change is one of the most critical issues to tackle today as it is foreseen to have detrimental social, environmental and economic impacts in the near future. The last climate change events, such as flooding in Germany and Belgium in both Continental and Atlantic regions, heat waves and lack of water in both Mediterranean and Boreal regions, show that the policymakers, experts and stakeholders' actions are not enough, and a 360º citizens engagement is urgently needed. Therefore, we need to learn from the good experience in citizens' engagement in climate change action and build up citizens` supporting infrastructure for climate adaptation measures to help the 150 European regions and local communities to resist. Climate assemblies and Living labs are considered as sustainable and reasonable tools to stimulate deliberative democracy in climate policymaking. The ambition of the current project is to support a transformation to climate resilience by offering an innovative problem-oriented climate adoption Toolbox, co-designed together with stakeholders by applying a values-based approach, design thinking methods and citizen science mechanisms. It is expected that the use of the Toolbox will anticipate possible tensions, points of controversy and dilemmas vis-a-vis the adaptation to resilience - therefore enabling empowerment and engagement strategies that produce a society "resilient by design". In addition, CLIMAS will include the empirical component for testing this Toolbox and formulating scientific-based guidelines for policymakers on how to shift Climate Assemblies from technically based deliberations that belong to climate change experts to multi-stakeholders deliberations based on solving the dilemmas from a bottom-up, more societal and value-based perspective. CLIMAS outcomes will positively influence policy development and awareness-raising process and offer sustainable strategies to enhance the acceptance of citizens' led decisions by policymakers.
Ramping up production capacity of groundbreaking space propulsion systems (EMBRACE II)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-08-01
End date: 2024-12-31
Duration (months): 29.0
Total project cost (EUR): 3515000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: CLOSED

The space industry is experiencing rapid growth with 24 000 satellites expected to be launched in the next ten years. Electric propulsion systems are needed for satellite mission success but conventional systems almost exclusively use xenon propellant which is expensive and must be stored at high pressures. In addition, conventional propulsion suppliers do not provide a complete system and subsystems are engineered separately by different suppliers. ThrustMe’s solution is a complete, standalone propulsion system that makes use of the groundbreaking alternative propellant iodine which can be stored unpressurized as a solid and is almost 100x cheaper than xenon. ThrustMe has recently performed the world’s first in-space demonstration of this new technology and has confirmed customer interest. Funding is needed to ramp up production capacity to help ThrustMe realize its full commercial potential to become market leaders, and to begin development of our next generation systems.

Keywords: streamlined satellites,sustainable space propellants
Stereotypes and Opportunities: Fostering Interactions and Awareness (SOFIA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-07-01
End date: 2029-06-30
Duration (months): 60.0
Total project cost (EUR): 1499875.0
EU funding (EUR): 1499875.0
Participants: 1
Project status: SIGNED

Stereotypes are often at the origin of biased behaviour and can contribute to the widening of socioeconomic inequalities in diverse societies. This is especially true in the schooling context, where both teachers and students may hold negative stereotypes towards certain groups. The overarching goal of this proposal is to study the formation of stereotypes and test policies designed to mitigate educational inequalities, building on insights from behavioural economics and causal machine learning techniques. The proposed research combines several innovative aspects: (i) cutting edge datasets merging administrative data with newly collected surveys, including psychological measures and incentivized experiments (ii) quasi-natural experiments to shed light on the determinants of stereotypes and biased behaviour, and (iii) randomized controlled trials to test scalable and cost-effective policies. SOFIA is composed of three workpackages (WP), focusing respectively on evidence from Italy, Finland, and Chile. WP1 provides innovative evidence on the role of selective memory in the formation of gender stereotypes for adolescents and teachers (Project A), and evidence on how causal machine learning techniques can be used to mitigate inequalities (Project B). WP2 focuses on the implications of exposure to immigrants on the development of stereotypes and inter-ethnic relationships (Project C) and on how to improve social cohesion through innovative interventions that exploit behavioural insights (Project D). WP3 investigates the role of self-stereotypes in explaining limited access to opportunities in education (Project E). The proposal speaks to the policy debate on how to effectively mitigate discrimination to foster educational achievements of disadvantaged or underrepresented groups. It is my hope that the combination of innovative solutions inspired by behavioural insights and solid evidence generated through credible empirical strategies will help inform this debate

Keywords: education,stereotypes,gender,immigration,social class,social interaction
Post-Authoritarian Norms and the Ideological Legacy of Dictatorships (POSTNORM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Italy,United Kingdom
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 1896800.0
EU funding (EUR): 1896800.0
Participants: 2
Project status: SIGNED

Why have once successful left-wing parties in Poland nearly died out by 2015 (Grzymala-Busse 2019)? Why has Portugal been one of the last countries in Western Europe to see a radical right party in the national parliament? Why are right-wing individuals more likely to protest in Eastern Europe than left-wing individuals (Kostelka and Rovny 2019)? POSTNORM proposes a theory postulating that these seemingly unrelated patterns are the product of a single process: the rejection of the ideological brand of the past authoritarian regime. Through novel survey experiments, POSTNORM will examine how in new democracies, the ideological associations with the old regime serve as a focal point for norms that govern what are appropriate political positions for voters and parties: in democracies following left(right-)wing dictatorship, voters and political elites avoid associating themselves with the left(right) respectively. POSTNORM further derives a set of testable expectations about how this bias shapes both the demand- and the supply side of party competition. The bias colors citizens’ ideological preferences; perceptions about parties’ stances in these issues; national identity; political discussions; the supply of new parties; post-transition party names and pro-grammatic stances; and party elite discourse. POSTNORM will deliver a parsimonious new theory that will help make sense of heterogeneity in political competition across new democracies

Keywords: norms,left right ideology,bias,parties voters identity communism military regimes
Free Information Geometry (FREEINFOGEOM)

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: Mathematics
Countries involved: Denmark
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 247553.28
EU funding (EUR): 247553.28
Participants: 1
Project status: SIGNED

This project will develop an information geometry for free probability theory. Free probability is a theory of non-commuting random variables that describes the large-n behavior of many families of n x n random matrices. Free probability has had applications to data analysis, communication, finance, and many other topics where matrices appear, as well as to the structure of von Neumann algebras, which is a wide-ranging and challenging field of pure mathematics. Information geometry refers to the synthesis of optimal transport together with measures of information such as entropy, which has shaped much recent work in partial differential equations, optimization, and data analysis. Information geometry has motivated many corresponding results in free probability theory, but several deep questions remain open concerning the relationship between optimal transport and entropy in free probability, and whether it accurately describes the large-n limit of the classical information geometry for random matrices. This project aims to show that free entropy is concave along optimal transport geodesics, establish the existence of momentum measures in free probability, give an optimal control formulation of free entropy, and exhibit counterexamples to regularity properties for optimal transport through connections with quantum information. The project will be supervised by Magdalena Musat in the Department of Mathematical Sciences at the University of Copenhagen, which provides a wealth of training and resources on operator algebras and quantum mathematics.

Keywords: free probability,information geometry,wasserstein distance,random matrix,quantum channel
Dynamics of Protein–Ligand Interactions (DynaPLIX)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Sweden,Denmark,Germany
Call: ERC Synergy Grants (ERC-2022-SYG, 2022)
Start date: 2023-05-01
End date: 2029-04-30
Duration (months): 72.0
Total project cost (EUR): 8721625.0
EU funding (EUR): 8721625.0
Participants: 3
Project status: SIGNED

Proteins are biological macromolecules that are vital to all processes of life. Understanding the functions of proteins has great scientific and commercial value: proteins are used as industrial enzymes, as pharmaceutical treatments, and many proteins are the targets of drugs. Current knowledge of protein function is primarily based on static structures, which have provided great insights about structure-function relationships that today form the basis for protein science and protein engineering. Proteins are, however, not static molecules, but undergo spontaneous transitions between alternative structural states, some of which are rare, transient conformations that are essentially invisible to traditional methods. These dynamical properties are known to be critically important for function, but high-resolution studies of dynamics have so far been conducted merely as an “add-on” following structural studies. To change the situation, we aim to establish “integrative biomolecular dynamics” by developing methods that integrate time-resolved X-ray crystallography, nuclear magnetic resonance spectroscopy, and molecular simulations to study the motions of proteins while they carry out their function. We focus on the challenging problem of molecular recognition because it represents a poorly understood frontier in molecular science where advances are expected to have great impact. Specifically, we will address the question of how proteins bind ligands by describing with atomic resolution the entire dynamic process to reach a consistent kinetic, thermodynamic, and structural view. We are at a point where it will be possible to develop the individual techniques required for our integrative biomolecular dynamics approach. As a team we can leverage ongoing developments in hardware and methods, while ensuring the tight integration between methods that is needed to study complex dynamical systems. We thus aim to move structural biology into a new era of protein dynamics.

Keywords: protein dynamics,ligand binding kinetics,molecular recognition,energy landscape,conformational ensembles,molecular dynamics simulations,time resolved x ray crystallography,nmr spectroscopy,nmr relaxation
Universal 3D printer bioink for Type 1 diabetes cell therapy (UNIINK)

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: Spain
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2024-01-01
End date: 2025-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Type 1 Diabetes (T1DM) results from autoimmune destruction of pancreatic insulin-producing β-cells. Nowadays, insulin injections remain the leading therapeutic option. However, injection treatment fails to emulate the highly dynamic insulin release that β-cells provide. During the last years, 3D cell-laden microspheres have been proposed as a major platform for bioengineering insulin-secreting constructs for tissue graft implantation and a model for in vitro drug screening platforms. Current microsphere fabrication technologies have several drawbacks: the need for an oil phase containing surfactants, diameter inconsistency of the microspheres, and high time-consuming processes, among others. These technologies have widely used alginate for its rapid gelation, high processability, and low cost. However, its low biocompatible properties do not provide effective cell attachment. To overcome these limitations, Uniink proposes a high-throughput 3D bioprinting methodology that employs an ECM-like microenvironment for effective cell-laden microsphere production. Crosslinking the resulting microspheres with tannic acid (TA) prevents collagenase degradation and enhances spherical structural consistency while allowing the diffusion of nutrients and oxygen. In addition, the approach allows customization of microsphere diameter with extremely low variability. In conclusion, we will develop in Uniink a novel bio-printing procedure to fabricate large amounts of reproducible microspheres capable of secreting insulin in response to extracellular glucose stimuli. We expect that Uniink will represent a valid alternative to islet transplantation in T1DM patients, thus bringing cell therapy closer to the application in humans.
Decentralized pyrolytic conversion of agriculture and forestry wastes towards local circular value chains and sustainability (PYRAGRAF)

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: Innovation actions
Countries involved: Portugal,Germany,Türkiye,Sweden,Poland,Italy,Denmark
Call: Renewable energy incorporation in agriculture and forestry (HORIZON-CL5-2022-D3-02, 2022)
Start date: 2023-07-01
End date: 2027-06-30
Duration (months): 48.0
Total project cost (EUR): 6480642.5
EU funding (EUR): 6128225.0
Participants: 20
Project status: SIGNED

Optimising agricultural and forest residues and waste management to increase renewable energy incorporation and reduce the carbon footprint of agricultural and forestry systems is currently essential and goes hand in hand with improving the resilience and sustainability of remote regions. The PYRAGRAF project will develop a mobile and integrated unit to demonstrate the pyrolytic conversion of forestry and agriculture crops residues and wastes into added-value products. The concept for this mobile demonstration system at TRL 7 is composed of 3 main modules: 1) a solar-assisted gasifier burner, 2) a biomass dryer, and 3) an integrated pyrolysis reactor thus producing sustainable products using renewable sources (solar energy and biomass). This multi-product approach includes two main product categories - biochar and wood vinegar ecosystems services; and energy applications of upgraded pyrogas and bio-oil – that can be integrated with different agriculture applications, thus enabling to reduce GHG emissions and the use of fossil resources and in agricultural practices; improve the development of rural areas, among other benefits. Field demonstrations with the involvement of local stakeholders inside and outside of the project will be conducted in 3 countries (PT, DE and TR) to demonstrate the operation of the mobile pyrolysis unit and evaluate the fertilisation and biopesticide potential of biochars and wood vinegar in different soils/crops and climate conditions. The pyrogas and bio-oil will also be evaluated as energy carriers for dual-fuel engine sand fuel cells as biofuel to be used in local agriculture or forestry practices. Because of its potential impact, the project will work towards reaching the outcomes of the work programme and lead to relevant changes in practice via three well-defined impact pathways that will ultimately contribute to producing low-carbon products that fit the ambitious requirements of the policies and strategies defined by the EU.

Keywords: solar assisted pyrolysis modular design residues conversion local circular economy biochar wood vinegar bio oil pyrogas sub products fuels renewable energy demonstrators business case