Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Resistance to anti-gender politics: The role of coalitions and affects (CORESIST)

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: Belgium,Sweden,Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 175920.0
EU funding (EUR): 175920.0
Participants: 3
Project status: CLOSED

Gender and sexuality became highly politicized, especially after the emergence of the first anti-gender campaigns in Europe in the mid-2000s. Mobilisations took place in several countries against sexual and reproductive rights, LGBTQI rights, children’s rights, gender, laws and policies against hate speech and discrimination. While the expanding literature on anti-gender campaigns has allowed us to gain significant insights about the larger political project of those involved, we know less about resistance to anti-gender politics. Although resistance to anti-gender politics seems to involve a multiplicity of actors, internally heterogeneous, at times organised in coalitions, the sparse literature on the topic focuses mostly on single-issue movements or campaigns, adopting a rather public policy approach. When accounting for the multiple actors involved, studies are based on the implicit idea that some social groups are “natural allies”, as for example, women, LGBTQI or racialized people, leaving unaddressed the tensions and challenges permeating coalition-making, as well as the processes that create and maintain boundaries between actors. The present project - CORESIST attempts to fill in these gaps by analysing the ways in which the foregrounding of coalitions between actors contribute to strengthening and/or weakening of the resistance to anti-gender politics as well as the tensions and challenges that permeate coalition-making. Additionally, it will explore the ways in which different actors making resistance articulate the relationship between the various issues targeted by anti-gender politics. To do so, it adopts a comparative framework of the most dissimilar cases – France and Romania, grounded in political sociology, gender studies and decolonial theory.

Keywords: social movements,political resistance,anti gender politics,coalitions,feminism,lgbtqi,race and ethnicity,decolonial theory,intersectionality,affects,gender and sexuality
Towards the prevention of rebound effects within complex socio-technical systems (REBOUNDLESS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Denmark
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1999478.0
EU funding (EUR): 1999478.0
Participants: 1
Project status: SIGNED

Society´s most well-intended efforts to solve sustainability challenges have not yet achieved the expected gains due to rebound effects, which are unintended consequences of interventions that arise due to induced changes in system behaviour. Rebound effects are widely acknowledged, but fundamental scientific gaps hamper their prevention. REBOUNDLESS aims to develop the reboundless design theory, a paradigm shift in design science that will establish the scientific knowledge for preventing rebound effects by: - Explaining systemic rebound effect mechanisms triggered by sustainable design strategies. - Modelling and simulating the magnitude of rebound effects arising from design decisions. - Enabling the design of resilient systems by means of reboundless design strategies. The reboundless design theory will provide novel methodologies, simulation models and strategies for the design of reboundless solutions (i.e. products, product/service-systems and socio-technical systems that are resilient to rebound effects). Building on the strong foundation of systems theory, REBOUNDLESS is uniquely positioned to bridge the interdisciplinary gap in the interplay of sustainable design and rebound effects, qualitative and quantitative models, engineering and social sciences, theory and practice. The reboundless design theory will be the starting point of a prominent research field, with extensive applicability within and beyond sustainable design (e.g. sustainability assessment, sustainability transitions, policy-making). Never before has there been a stronger global focus on solving the pressing sustainability challenges, but the expected positive societal impact will not be achieved unless rebound effects are prevented. Building on my 15-year track-record on sustainable design theory and practice, REBOUNDLESS will give me the opportunity to enable the urgently needed shift towards the design of sustainable and resilient systems.

Keywords: rebound effects,sustainable design,system dynamics,design science,ecodesign
SCALABLE AND SUSTAINABLE PILOT LINE BASED ON INNOVATIVE MANUFACTURING TECHNOLOGIES TOWARDS THE INDUSTRIALISATION OF SOLID-STATE BATTERIES FOR THE AUTOMOTIVE SECTOR (SPINMATE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Cross-sectoral solutions for the climate transition
Action type: Research and Innovation actions
Partnership: Batteries (co-programmed)
Countries involved: Belgium,Germany,Italy,France,Spain,Portugal,Norway
Call: Manufacturing technology development for solid-state batteries (SSB, Generations 4a - 4b batteries) (Batteries Partnership) (HORIZON-CL5-2021-D2-01, 2021)
Start date: 2022-08-01
End date: 2026-07-31
Duration (months): 48.0
Total project cost (EUR): 6976599.5
EU funding (EUR): 6976599.0
Participants: 13
Project status: SIGNED

SPINMATE aims to demonstrate a scalable, sustainable, safe and cost-effective digital-driven proof-of-concept pilot line, at a TRL6 level, as a first step towards the large-scale manufacturing of generation 4b (Gen 4b) SSB cells and module, in order to support the electrification of the automotive sector. To do so, SPINMATE proposes the development and implementation of innovative and scalable manufacturing and processing solutions (notching/cutting, stacking and sealing/packaging steps, among others). Furthermore, new industry 4.0 and 5.0 concepts (Industrial Internet of Things – IIoT and Machine Learning – ML algorithms, Digital Twins, giga-factory line simulation,…) are proposed to be applied for the digitalisation of the proof-of-concept pilot line, as well as the assembly and manufacturing processes. Thus, SPINMATE will manufacture small 1 Ah and large 10 Ah SSB cells, after the development and optimisation of (i) advanced solid polymer electrolyte with high ionic conductivity and wide electrochemical stability, (ii) Li metal foil with surface treatment enabling a more stable interface as anode and (iii) Ni-rich layered oxide cathode with improved cycling stability. Regarding electrodes (i.e. anode and cathode) and electrolyte processing, innovative solvent-free extrusion routes, roll-to-roll approach and optimised solvent casting methods are suggested. SPINMATE’s Gen 4b SSB cells will create a new industry value chain in Europe towards their commercialisation. This new generation technology will ensure (i) enhanced energy densities, overcoming current LIB limitations, (ii) improved safety in both solutions and workers; (iii) increased sustainable mass production; and (iv) decreased carbon footprint and cost.

Keywords: gen 4b ssb cells industry 4 0 and 5 0 digital driven pilot line innovative ssb manufacturing solid polymer electrolytes li metal foil based anode ni rich oxide cathode
Enzymatic chemistry acting on alkyl chains (GREASEDLIGHTNING)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure -properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Portugal
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1995621.0
EU funding (EUR): 1995621.0
Participants: 1
Project status: SIGNED

-As humankind sets out to move towards a sustainable future, the production of organic commodity and speciality chemicals, drugs and other small molecules of interest will gradually incorporate more biochemical processes. Some of these products may be obtained directly from engineered organisms, while others may be generated ex vivo – either through purely enzymatic processes or by interfacing biological chemistry with organic synthesis. Harnessing the efficiency, selectivity and diversity of enzymatic reactions found in nature is key to reaching the goal of a fully-fledged biobased economy. Some enzymes can carry out demanding reactions that have little or no equivalent in synthetic chemistry. In particular, the ability of certain enzymes to selectively act on unactivated carbon centers has attracted much attention as they can be used to functionalize typically intractable positions with high precision. A particular group of bacteria – Cyanobacteria – tend to incorporate saturated fatty acid-derived moieties into their natural products. In many such structures, we find modifications and decorations that can only be explained by the action of regio- and stereoselective enzymes, many acting on unactivated carbon centers. It is this richness of alkyl-chain modifying biocatalysts that we aim to reveal with this proposal. We will use several unusual structural motifs from acyl moieties in cyanobacterial natural products as starting points for enzyme discovery. These will include C-H bond activating enzymes as well as those acting on C-C bonds. We will bring to light an arsenal of biocatalysts that can be used to selectively functionalize or modify a variety of alkyl chain positions that would otherwise be inaccessible to conventional chemical synthesis. GreasedLightning blends discovery and hypothesis-driven research at the chemistry/biosynthesis interface, drawing on the PI’s experience on the (bio)chemistry of lipidic cyanobacterial metabolites.

Keywords: natural products,enzyme discovery,biosynthesis,metagenomics,cyanobacteria
Logics and Algorithms for a Unified Theory of Hyperproperties (HYPER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-11-01
End date: 2027-10-31
Duration (months): 60.0
Total project cost (EUR): 2227500.0
EU funding (EUR): 2227500.0
Participants: 1
Project status: SIGNED

The central role of information technology in all aspects of our private and professional lives has led to a fundamental change in the type of program properties we care about. Up to now, the focus has been on functional correctness; in the future, requirements that reflect our societal values, like privacy, fairness, The central role of information technology in all aspects of our private and professional lives has led to a fundamental change in the type of program properties we care about. Up to now, the focus has been on functional correctness; in the future, requirements that reflect our societal values, like privacy, fairness, and explainability will be far more important. These properties belong to the class of hyperproperties, which represent sets of sets of execution traces and can therefore specify the relationship between different computations of a reactive system. Previous work has focussed on individual hyperproperties like noninterference or restricted classes such as k-hypersafety; this project sets out to develop a unified theory for general hyperproperties. We will develop a formal specification language and effective algorithms for logical reasoning, verification, and program synthesis. The central idea is to use the type and alternation structure of the logical quantifiers, ranging from classic first-order and second-order quantification to quantifiers over rich data domains and quantitative operators for statistical analysis, as the fundamental structure that partitions the broad concept of hyperproperties into specific property classes; each particular class is then supported by algorithms that provide a uniform solution for all the properties within the class. The project will bring the analysis of hyperproperties to the level of traditional notions of safety and reliability, and provide a rigorous foundation for the debate about standards for privacy, fairness, and explainability that future software-based systems will be measured against.

Keywords: hyperproperties,logical specification,formal verification,monitoring,program synthesis,privacy,fairness,explainability
Bringing Intrinsically Disordered Proteins to Biomedical Applications (IDP2Biomed)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Panel: Life Sciences
Countries involved: Hungary,Italy,Germany,United Kingdom
Call: Twinning Bottom-Up (HORIZON-WIDERA-2023-ACCESS-02, 2023)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 1244706.0
EU funding (EUR): 1244706.0
Participants: 4
Project status: SIGNED

The IDP2Biomed twinning program is aimed at strengthening the scientific excellence and innovation capacity at the interface between Chemistry and Biology of the Faculty of Science of Eötvös Loránd University (ELTE). Researchers from ELTE will be working closely together with three leading European research groups in the field of intrinsically disordered proteins (IDPs). This partnership will provide an ideal platform to enable ELTE to increase its ability to generate scientific innovation and clinical translation. This objective will be achieved by focusing on IDPs that are directly involved in diseases with great socio-economic importance, such as neurodegenerative diseases and rare diseases. IDP2Biomed will integrate IDP-related information with biomedical data, advance the understanding of the function of IDPs in normal and disease states and explore new avenues to alter their behaviour in pathological states. The impact of this program will be maximised by fostering cooperation with academic and industrial partners locally and across the EU.

Keywords: protein protein interations,conformational ensembles,disease mutations,biological condensates,nmr,
Optimization and data aggregation for net-zero power systems (NetZero-Opt)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1499888.0
EU funding (EUR): 1499888.0
Participants: 1
Project status: SIGNED

One of the fundamental problems of using optimization models that represent complex systems – e.g. power systems on their path towards achieving net-zero emissions – is the trade-off between model accuracy and computational tractability. Many applied optimization models that use different time series as data input have become increasingly challenging to solve due to the large time horizons they span and the high complexity of technical constraints with short- and long-term time dynamics. To overcome computational intractability of these optimization models, the dimension of input data and model size is commonly reduced through time series aggregation (TSA) methods. However, applying TSA for optimization models that are governed by varying time dynamics simultaneously is quite challenging. TSA methods mostly focus on short-term dynamics, and rarely include long-term dynamics due to the inherent limitations of TSA. As a result, longer-term dynamics are not captured well by aggregated models, which is imperative for reliably modelling many complex systems. Moreover, traditional TSA methods are based on the common belief that the clusters that best approximate the input data also lead to the aggregated model that best approximates the full model, while the metric that really matters –the resulting output error in optimization results – is not well addressed. This belief is mainly based on the lack of theoretical underpinning relating inputs and output error, rendering existing methods trial-and-error heuristics at best. We plan to challenge this belief by discovering the currently unknown relation between input and output error, and to overcome existing TSA shortcomings by developing the novel theoretical TSA framework for optimization models with varying time dynamics, thereby tapping into unprecedented potential of computational efficiency and accuracy. If this project is successful, it would have untangled the Gordian knot of data aggregation in optimization.

Keywords: time series aggregation,optimization,modeling,aggregate modeling,data aggregation,power system models,clustering,linear programming
Novel biotechnological route for the isolation and investigation of rhamnogalacturonan-I from apple side-streams as model systems (RHAPPLE)

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: Environment and Geosciences
Countries involved: Denmark
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 214934.4
EU funding (EUR): 214934.4
Participants: 1
Project status: CLOSED

As much as 50% of the fruits and vegetables produced globally are wasted, and so are their valuable nutrients. Fruit and vegetable waste mostly consists of primary plant cell walls, which are fibrous and recalcitrant composites of a load-bearing cellulose-cross-linking glycan network as being embedded in a more soluble matrix of polysaccharides, with pectin being the most abundant class of macromolecule within this matrix. Crude pectin extracts are used for a variety of food applications. While the functionality of pectin is sufficient for most current applications, the contribution of different pectic molecules, or structures within the same molecule, to its functionality is still poorly understood, as some structural elements are susceptible to degradation by common pectin extraction procedures. Galactose, rhamnose and arabinose, which form the rhamnogalacturonan-I (RG-I) hairy region within pectin molecules, are acid-labile, explaining the extensive debranching during conventional extraction methods and the low amounts of RG-I in current pectic ingredients. RHAPPLE aims to explore a novel biotechnological route for the selective isolation of intact RG-I from our designated model system apple pomace. We will investigate the application of yeasts that have been genetically modified to secrete a set of enzymes degrading other plant cell wall polysaccharides. We subsequently aim to provide the crucial knowledge on the structure-function relationships of RG-I and unlock its use as hydrocolloid, binding platform, and prebiotic. RHAPPLE is thus a cross-disciplinary project, involving microbiology, molecular biology and physico-chemistry tools. Our fundamental research within precision fermentation will position RG-I as one of the most promising hydrocolloids and prebiotics in the food sector and will help to raise awareness for the loss of valuable compounds by wasting plant processing by- and co-products.

Keywords: pectin,fermentation,enzymes,food biotechnology,rhamnogalacturonan,food waste,gut microbiome,dietary fiber
Field Sensors with Exceptional Energy Resolution (Field-SEER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Spain
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 2402831.0
EU funding (EUR): 2402831.0
Participants: 1
Project status: SIGNED

Field-SEER will develop magnetic sensors with combined spatial, temporal, and field resolution beyond what is possible with existing sensing approaches. The “energy resolution” of a sensor describes this combined performance, and determines a sensor’s ability to detect weak, localized and transient signals. In today’s best-developed sensors, the energy resolution is known to be limited by a combination of intrinsic quantum noise and self-interaction effects. Field-SEER will develop sensors that evade such limits, and in doing so establish a new paradigm for extreme field sensing. The immediate fruits of this new approach will be sensors for two exceptionally demanding contemporary applications: First, a spinor Bose-Einstein condensate co-magnetometer will be developed to search for short-range forces predicted by several models of physics beyond the standard model. Second, optically-addressed nuclear spin ensembles will be developed as high-density vapor-phase magnetometers for next-generation magnetic brain imaging. In both cases, orders-of-magnitude improvement are predicted both for the energy resolution and for application-specific metrics. Field-SEER will also study how spin squeezing, predicted to play an important role in these sensors due to their extraordinary coherence properties, can be harnessed for optimal sensing in this new regime of exceptional energy resolution.

Keywords: atomic sensors,magnetometry,comagnetometer,atomic vapors,bose einstein condensates,quantum non demolition measurement,spin squeezing