Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Uncovering the core dimensions of visual object representations (COREDIM)

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: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-07-01
End date: 2027-06-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 2
Project status: SIGNED

Our ability to interact with our visual world is a remarkable feat: Despite drastic changes in their visual appearance, we can effortlessly make sense of thousands of objects and carry out meaningful actions on them. To understand the nature of our visual representations that underlie this ability, a central goal of cognitive neuroscience is to determine the properties – or dimensions – that make up our representational space of objects. While much progress has been made at identifying the building blocks of visual processing in brain and cognition, our scientific understanding of visual representations remains fundamentally limited by (1) our ability to capture the complexity and variability of our visual world for determining the dimensions underlying our object representations and (2) the difficulty in disentangling visual and semantic contributions to these representations. COREDIM is an ambitious, interdisciplinary program that aims at overcoming these limitations and provide a detailed, interpretable characterization of the core dimensions underlying visual object representations. To reach this goal, COREDIM capitalizes on extensive, targeted sampling of behavioral and neuroimaging data and cutting-edge artificial intelligence methods that allow the identification of interpretable representational dimensions. Project 1 aims at uncovering the core representational dimensions of objects across ventral visual cortex, using a biologically-inspired neural network model tailored to each individual’s functional neuroanatomy and trained to identify the most informative stimuli. Project 2 will identify the relative role of vision and semantic knowledge in shaping our core representational dimensions, through experimental manipulations at the level of the stimulus, task, and with cross-species comparisons. Together, COREDIM promises to transform our understanding of visual processing, laying the foundation for a comprehensive characterization of visual cortex function.

Keywords: object recognition vision perception representation fmri meg
Groundbreaking tools and models to reduce air pollution in urban areas (MODELAIR)

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: Information Science and Engineering
Countries involved: Spain,United Kingdom,Belgium,Sweden,Netherlands
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 2930573.66
EU funding (EUR): 2685400.8
Participants: 11
Project status: SIGNED

MODELAIR proposes a combination of theoretical, experimental, numerical, and data-driven science that will simulate, control and design new disruptive technologies for future sustainable cities and will provide specialized training to 10 doctoral candidates (DCs) to make these new technologies available to city Councils and relevant industrial sectors. MODELAIR contributes to EU Mission: Climate-neutral and smart cities, reducing gas emissions and offering cleaner air to citizens. MODELAIR will develop an Artificial Intelligence (AI) - based tool to help make informed and sensible decisions to control air pollution in urban areas. For such aim, MODELAIR will develop novel analysis tools and new Reduced Order Models (ROMs) based on both non-intrusive sensing and innovative data sources. Assessed by the industry and city councils from Bristol, Brussels and Madrid, MODELAIR will improve the current state-of-the-art modeling capability, taking into account the influence that buildings, roadways and other structures have on the flow and dispersion of air pollution . The limits of applicability of the novel AI-based tool will be tested in three specific problems related to air pollution in urban areas by: (i) studying the influence of the urban topology on air pollution, (ii) characterizing the Ixelles District (Brussels-BE) to develop a real-time decision-making tool that will assess about the disposition and maintenance of the sensor network to provide a high-quality air pollution monitoring service, and (iii) investigating the influence of the pollutant emission source (strength and location) to optimize traffic routes to reduce air pollution. The final aim is to obtain transferable outputs using novel tools and methodology approaches (addressing three different challenges) to improve air quality dispersion models that will serve to city councils and industry to develop new regulations to control air pollution.

Keywords: air pollution reduced order modelling computational fluid dynamics machine learning data driven methods
The response of coccolithophores - calcifying marine phytoplankton- to TRAce Metals and Alkalinity Enhancement (TRAMAE)

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: Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-02-01
End date: 2027-08-31
Duration (months): 43.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 1
Project status: SIGNED

Keeping global warming below 2°C will require drastic reductions or even planetary-scale negative emissions that must be initiated within this decade to remove hundreds of gigatons of CO2 from the atmosphere. Ocean alkalinity enhancement (OAE) is one of the most promising methods to actively remove CO2 from the atmosphere whereby suitable rocks are extracted, pulverised, and dispersed over the oceans or land surfaces. CO2 is chemically absorbed during weathering and safely stored mainly as bicarbonate for geological timescales. However, the effect of introducing gigatons of alkalinity and dissolved metals in marine pelagic ecosystems remains mainly unknown. TRAMAE will be among the first to investigate some of the most relevant impacts of OAE and associated trace metals released by alkaline material, on coccolithophores. –calcifying marine phytoplankton– which are major drivers of the marine carbon and calcium carbonate cycles as they contribute 1-10% to marine primary production and ~50% to pelagic calcium carbonate sedimentation. The project aims at quantifying if and how an increase in alkalinity stimulates calcifiers and to what extent this would offset or strengthen the efficiency of OAE. Next to the focus on the calcification response towards OAE, TRAMAE aims to investigate the environmental effect of the most relevant dissolution products (i.e. trace metals) released by the minerals employed for enhancing alkalinity on the marine phytoplanktonic community. This is an urgent need to evaluate the possible risks in the real-world of the application of OAE. The fellowship will be carried out at GEOMAR (Kiel, Germany) where the proponent will be included in a team of experts on OAE in marine biology and geosciences. The results will be disseminated to raise awareness of global changes and ocean ecosystem dynamics. TRAMAE will be spearheading the assessment of OAE which may become an essential tool to counteract climate change.

Keywords: ocean alkalinity,ocean alkalinity enhancement,carbon dioxide removal,phytoplankton,coccolithophores,climate change,carbon cycle,trace metals
Social Economy Enterprises for Development and Democracy (SoEco4Dev)

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: Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 1
Project status: CLOSED

Eroding liberal economic model and democracy require novel approaches to development cooperation. The new research agenda emphasises the need for more research on the interactions between the nation-states' policies and organisational models. SoEco4Dev aims at responding to these policy and theoretical debates by providing an original and innovative approach and multilevel perspective to understanding the role of the local bottom-up institutions to uphold democratisation and development in post-communist countries. The objective of SoEco4Dev is to analyse how the emerging phenomenon of Social and Solidarity Economy (SSE) organisations drive social innovations and change in three distinct dimensions of SSE: entrepreneurial culture (economic dimension), solidarity bonds (social dimension) and democracy promotion (governance dimension). The research focuses on the nascent entrepreneurial forms of SSE – social enterprises (SE) in two post-Soviet republics, Georgia and Kyrgyzstan that continually strive to develop and democratise their societies. SoEco4Dev project is marked out by its ambitious and interdisciplinary nature that contrasts nation-state and organisational levels, and carefully integrates research and policy, local and global perspectives. The project is underpinned by an innovative and robust methodological approach that aims at constructing a well-grounded theory of SSEs internationalisation in under-explored country contexts. The project is particularly timely in the context of conflicts and increasing inequalities as it aims at gaining an in-depth understanding of the new forms of social organising and their capacity to complement the traditional local development actors, such as civil society organisations and the private sector. SoEco4Dev also aims at the career development of the researcher, broadening her research areas and improving her qualitative research and publication skills to obtain a permanent teaching and research position in the EU.

Keywords: social and solidarity economy,social enterprises,democratisation,development,local development actors,organisational studies,social entrepreneurship,post soviet countries,georgia,kyrgyzstan
Neuronal networks dynamics underlying spike timing precision during brain developmental plasticity and Alzheimer's disease progression. (STDP-development-AD)

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: Life Sciences
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-01
End date: 2025-04-30
Duration (months): 28.0
Total project cost (EUR): 193402.26
EU funding (EUR): 193402.26
Participants: 1
Project status: CLOSED

Brain plasticity and neuronal network oscillations are crucial brain processes that depend on the timing precision of neuronal activity. These processes change during healthy brain development and are disrupted early on Alzheimer’s disease (AD) with controversies on the onset of their impairment. Thus, comprehensive studies of plasticity considering the state of the neuronal network during development and AD progression are missing. Here we will address the mechanisms underlying timing-dependent plasticity by the convergent study of spike timing-dependent plasticity and neuronal networks rhythms in mice hippocampal slices. The work plan includes logical sequential sets of experiments involving ex-vivo electrophysiology combined with multiphoton imaging, optogenetic, calcium dynamics, molecular biology, and immunohistochemistry during healthy development in wild-type mice and the progressive impairment of neuronal circuits dynamic in an AD mice model. The action will be implemented during 2 years in the Laboratory of Cellular Neuroscience and Plasticity (LCNP) lead by Professor Antonio Rodríguez Moreno (supervisor) and hosted by University Pablo de Olavide (UPO) in Seville, Spain. All the premises and infrastructures owned by UPO are at full disposal for both the candidate and the supervisor (Manager of the Infrastructure of Multiphoton Unit). During the action the researcher will acquire intellectual skills and learn sophisticated and cutting-edge approaches to assess synaptic plasticity supported by his previous skills and the strong supervisor's background. The expected outcomes from the insertion in a suitable scientific and academic environment at LCNP and UPO will lead the candidate to establish as a young PI within the Spanish Science System. LCNP and UPO will establish the study of neuronal dynamics in a highly convergent way and nurture from the candidate's expertise acquired in both the KI and during the fellowship.

Keywords: spike timing dependent plasticity,plasticity windows,developing hippocampus,neuronal networks dynamic,theta oscillations,gamma oscillations,alzheimer s disease,early diagnostic tools
Women and Non-Alignment in the Cold War era: biographical and intersectional perspectives (WO-NAM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-11-01
End date: 2028-10-31
Duration (months): 60.0
Total project cost (EUR): 1985458.0
EU funding (EUR): 1985458.0
Participants: 1
Project status: SIGNED

WO-NAM will provide crucial insights into the history of women’s participation in the Non-Aligned Movement during the Cold War era, studying the roles of female leaders, women’s movements and women’s organizations. It will redefine existing interpretations of Cold War history and historiography by conducting groundbreaking research on the significance of Non-Aligned networks in shaping transnational debates on women’s rights within international institutions. Bringing together women’s and gender history, global history, and intellectual history, the project will answer the following research questions: what was the role of female activists and leaders within the Non-Aligned Movement? How did women’s organizations contribute to nation-building, modernization, and development in their respective Non-Aligned countries? What was the significance of the Non-Aligned Movement in transnational Cold War debates on women’s rights before and during the UN Decade for Women (1975–1985)? How did women’s internationalism within the Non-Aligned Movement contribute to an intersectional vision of women’s rights, which viewed women’s oppression as inseparable from wider global inequalities? WO-NAM will draw on rich and diverse archival collections on women’s activism in its focus on the case studies of Yugoslavia, Egypt, Tunisia, India, and Cuba. It will have four research strands: female leaders and activists’ biographies, grassroots and state-sponsored women’s organizations, international conferences at UN and NAM level, and transnational knowledge production. In taking Non-Aligned women’s networks as its vantage point, WO-NAM will be the first project to address how female leaders and activists from the Global East and the Global South intervened in a variety of international institutions that were part of, or affiliated to, the United Nations, in order to shape ongoing debates on women’s rights, family planning, and development.
Unravelling interactions between fermentable carbohydrates and the gut microbiota in patients with IBS (SugarPain)

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: Life Sciences
Countries involved: Belgium
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-01
End date: 2026-04-30
Duration (months): 24.0
Total project cost (EUR): 191760.0
EU funding (EUR): 191760.0
Participants: 1
Project status: SIGNED

"What can I eat?” This is the question that patients with irritable bowel syndrome (IBS) ask their general practitioner. Diet is the first line of treatment for IBS and is based on restricting foods containing a group of sugars (Fermentable Oligo-, Di-, Mono-saccharides and polyol or FODMAPs), which are not fully absorbed by the host and fermented by the gut microbiota. Although effective, this treatment is not sustainable in the long term, as the diet requires limiting beneficial foods such as vegetables and fruits. To date, due to a lack of specific trials, our understanding of which and how specific FODMAPs contribute to IBS symptoms has yet to be uncovered. Based on (1) preliminary results showing a patient-specific response to purified FODMAPs in IBS patients, (2) the central role of the gut microbiota in FODMAP digestion and (3) the interindividual variation of the gut microbiota between individuals and IBS patients, I hypothesise that specific FODMAPs cause symptoms in IBS patients through individualised microbiome activity. By combining my bioinformatics skills and microbiome background with wet-lab microbiology expertise of the host group, I aim to identify bacterial species and metabolites causing the development of symptoms. Firstly, I will analyse samples and clinical data from a trial conducted in the host lab, in which patients were exposed to six purified FODMAPs, to identify microbiome changes in those experiencing symptoms. Next, I will test the interaction between FODMAPs and the identified microbes with high-throughput in-vitro fermentation, monitoring dynamic shifts in the gut microbial ecosystem and metabolic activity upon FODMAP exposure. Finally, I will determine if baseline microbiome or metabolite profiles can predict an individual's tolerance to specific FODMAPs. The outcomes of my research project will pave the way for innovative, effective, non-invasive, and personalised therapeutic approaches for a disorder affecting 10% of Europeans.

Keywords: irritable bowel syndrome fodmaps diet human microbiome
TeleRehabilitation of Balance clinical and economic Decision Support System (TeleRehaB DSS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Greece,Thailand,Serbia,Spain,Italy,Germany,United Kingdom,Estonia,Portugal
Call: Clinical validation of artificial intelligence (AI) solutions for treatment and care (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-12-01
End date: 2026-08-31
Duration (months): 45.0
Total project cost (EUR): 5060563.32
EU funding (EUR): 5060562.0
Participants: 17
Project status: SIGNED

TeleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. An AI-based decision support system (DSS) will be developed expanding upon the existing Augmented Reality (AR) rehabilitation training platform, with its balance exercises, exergames, cognitive training and remote patient monitoring with wearables and IoT devices from HOLOBALANCE project (TL6), to provide suggestive feedback for experts through the entire clinical rehabilitation pathway. The first component of AI models of TeleRehaB DSS will assess prognostic factors for risk of falls, treatment effectiveness, outcomes and side effects at baseline level, using a high volume of retrospective data for initial training. The other AI pillar of TeleRehaB DSS will introduce automated balance intervention planning and management functionality. The DSS will provide for each patient an optimal set of personalised rehabilitation activities, considering the best clinically effective treatment in conjunction with socio-economic effectiveness, and eHealth literacy. The later will be evaluated with a quick and easy to use tool with simple tasks to assess patient's level of technological awareness (i.e. use of smart devices, AR and IoT equipment), in order to predict if this is going to affect compliance and adherence with interventions that rely on the use of such novel technologies. Finally, the most beneficial use of AI in TeleRehaB DSS will consist of automated remote patient monitoring with wearables and IoT sensing devices, allowing rehabilitation training programs to be performed at home. The DSS will evaluate in real-time patient performance, symptoms occurrence with virtual AR physio's providing corrective and motivational feedback as activities are performed. These performance evaluation measures will be fed back to the DSS to support experts with their most time and effort-consuming activities of day-to-day patient management.

Keywords: balance disorders,personalised rehabilitation,decision support,iot,patient management