Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Inferring hominin population history through space and time using introgressed haplotypes (NEADMIX)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-05-01
End date: 2027-04-30
Duration (months): 60.0
Total project cost (EUR): 1498750.0
EU funding (EUR): 1498750.0
Participants: 1
Project status: SIGNED

In the last decade, ancient DNA studies have increased their throughput from single samples to thousands of genomes published every year, giving us unprecedented data about human genetic history. However, tools and methods that efficiently use this wealth of data are sorely lacking, especially because DNA extracted from fossils is often scarce and contaminated. In this project, I develop population genetic theory and bioinformatic methods that use ancient DNA to refine estimates of when and where archaic and modern humans interbred, to characterize the historical, biological and functional consequences of this gene flow, and to learn about the differences between modern humans, Neandertals, and Denisovans. The first aim of this project is to develop a robust and general genotype-likelihood approach for local ancestry inference that allows efficient use of contaminated, low-coverage data, and to establish approximate haplotype-based methods for inferring introgression tracts. The second aim of the project is to develop the necessary population genetic theory and statistical methods to translate the inferred haplotypes into biological insights. The proposed theoretical, numerical and simulation-based approaches will link the inferred introgression patterns with the underlying population genetic processes. The final aim is to apply these novel tools to study where and when gene flow between Neandertals, Denisovans, and modern humans occurred. I also aim to identify introgressed haplotypes that are a target of natural selection and to quantify the relative importance of positive, negative, and balancing selection on Neandertal and Denisovan gene flow. As a result, this work will expand the tool set available for the analysis of ancient DNA, reveal the precise history of the interactions of Neandertals and modern humans, and provide answers to the key question of what genetic factors contributed to the survival of our species, while all other hominins went extinct.

Keywords: human genetic history
Ultra-Low Design-Effort, Energy-Efficient and Battery-Indifferent Sensor Node for the Green Internet of Things (UBIGIoT)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Italy,Viet Nam,Singapore,Malaysia,Lebanon,France,Ireland
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2022-12-01
End date: 2026-11-30
Duration (months): 48.0
Total project cost (EUR): 1056685.71
EU funding (EUR): 979800.0
Participants: 11
Project status: SIGNED

The rapid technological improvement in the semiconductor industry has enabled smaller and smaller devices to pervade our everyday lives. The real challenge in reducing the size to facilitate a ubiquitous integration of smart functions in any “thing” is drastically reducing the power consumption that constrains the volume to the presence of bulky batteries. An electronic device that dramatically reduces its power consumption can be powered by an alternative "green" source of energy such as light or vibration enabling the vision of the “Internet of Things”. In this scenario, the proposed research activity is intended to substantially enhance the energy efficiency of an IoT sensor node by a synergetic approach targeting both multisource harvesters and the System-on-Chip (SoC) design. The latter one aims in a comprehensive approach in which the macroblocks of different nature are designed exploiting at most an automated (digital) design flow. On this basis, a dramatic human-design effort reduction and silicon area for the same operation is expected for any SoC by a factor in the range of 10x-100x. This implies a faster time-to-market and a reduced cost of energy-autonomous Wireless Sensor Nodes. Challenging problems to be addressed are performance (i.e., resolution, speed). The effectiveness of the proposed approach will be verified and validated on demonstrators of industrial interest. The project targets to be innovative, interdisciplinary, and intersectoral across academies, an EU-based semiconductor company, and partners from MS and TC mostly based in the ASEN.

Keywords: iot sensor node,fully synthesizable design flow,power management ic,ic sensor interface,wireless sensor node,energy harvesting for sensor node
Mad Literature: Own Epistemologies from First-Person Voices (MadLit)

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: Austria,Germany
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): 183600.96
EU funding (EUR): 183600.96
Participants: 2
Project status: SIGNED

This MSCA Fellowship is a deeply personal project tied to my firsthand experience. This project delves into my previous lines of research, focused on subaltern experience and contemporary autobiographical modes, the construction of subjectivities through narrativity, and the use of archives in shaping personal narratives. MadLit is designed to transform the paradigm in which madness and literature authored by psychiatrized subjects are examined, thereby contributing to the field of Mad Studies from an embodied knowledge. Mad Studies is a relatively unexplored field in Europe, though it has gained some traction in other countries such as Canada, where it focuses on studying the experiences, history, and culture of individuals identifying as psychiatric survivors. However, this methodology has not yet been applied to literary production. This will be the first project entirely centered on creating an epistemology to psychiatrized subjects through their autobiographical texts. Additionally, I will delve into the theoretical analysis of the autobiographical, examining it from two perspectives: the historical, as a key genre for bourgeois subjects in the 19th century, and also as a contemporary vehicle for the subaltern voices. To achieve this, I will divide the project into three parts. Firstly, I will analyze first-person literary texts, with special attention to German-language literature from the 19th to the 21st century, in order to trace the current state of the emancipatory struggle of psychiatrized subjects in Europe. Secondly, I will study the use of narrativity in the mad activism to demonstrate its potential as a productive element of subjectivity. Lastly, my third objective will be to engage with my own experience of psychiatrization, allowing me to narrate it using the acquired tools. In embarking on this journey, my aspiration is to challenge a historical debt to those whose voices have long awaited to be heard.

Keywords: autobiographical writing,narratology,cultural studies,situated knowledge,subalternity
Designing Social Media Recommendation Algorithms for Societal Good (DeSiRe)

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: Austria
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 2037464.0
EU funding (EUR): 2037464.0
Participants: 1
Project status: SIGNED

Social media platforms are central for civic discourse yet evidence is mounting that they play a causal role in deteriorating social cohesion. User behaviour on social media platforms is governed by content recommendation algorithms that maximise engagement, leading to unintended consequences such as the promotion of outrage. The EU's newly enacted Digital Services Act mandates social media platforms to assess their systemic risks for society. However, the current challenge lies in translating abstract risks to concrete platform design changes that reduce such risks. We will bridge this gap by combining approaches from social science and computer science to incorporate the reduction of risk to civic discourse into content recommendation algorithms of social media platforms. To this end, we will employ a participation-based approach to develop novel algorithms that consider various aspects of civic discourse, such as information quality and diversity, and the civility of language. We will develop Open Source digital twins of social media platforms to enable experimentation with new algorithms independent of platform companies. To balance the reduction of risk to civic discourse and freedom of expression, we will solicit people's preferences in different scenarios such as a public health crisis and elections, and develop balanced algorithms. Lastly, we will develop a scenario-based risk assessment framework to assess algorithms and provide policy recommendations for interventions in content recommendation algorithms. The originality of DeSiRe stands out in that to date democratic values and fundamental rights played no role in the design of content recommendation algorithms.

Keywords: social media content recommendation algorithms civic discourse democratic values risk assessment simulation computational social science misinformation
A Novel compact and Advanced hybrid Microalgae-membrane photobioreactor Optimized for Retrofitting decentralized water and wastewater management systems (NAMOR)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Other Bio-environnement destinations
Action type: Innovation actions
Countries involved: Greece,United Kingdom,Finland,Spain,Slovenia,Belgium,India,France,Korea, Republic of
Call: New circular solutions and decentralised approaches for water and wastewater management (HORIZON-CL6-2024-CIRCBIO-02, 2024)
Start date: 2025-06-01
End date: 2029-05-31
Duration (months): 48.0
Total project cost (EUR): 5329100.0
EU funding (EUR): 4950237.5
Participants: 14
Project status: SIGNED

NAMOR project pioneers a next-generation water treatment solution that combines the co-cultivation of microalgae and bacteria with advanced membrane filtration in a modular plug-and-play system. This innovative approach enables decentralized treatment of diverse water and wastewater streams and supports a sustainable and resilient urban water cycle. NAMOR's hybrid system is designed for maximum adaptability, with demonstrations across three different climate zones — high, medium and low temperatures — under different lighting conditions to ensure robust performance in a variety of environmental scenarios. The system will deliver high quality, fit-for-purpose effluents with minimal energy consumption and environmental impact, improving urban water management. It will integrate seamlessly into existing centralized water networks and enable local, site-specific treatment. In addition, the biomass produced will be efficiently valorized for nutrient and energy recovery, contributing to a circular economy. At the heart of NAMOR’s innovation is the development of a digital twin model equipped with a sensor network and predictive analytics to monitor and predict system performance in real time. This is complemented by a Decision Support System that optimizes energy efficiency and maximizes water and nutrient recovery, tailored to the specific local requirements. NAMOR also places great emphasis on citizen engagement and social acceptance of decentralized water solutions. Through an inclusive, participatory approach, citizens are actively involved from planning to implementation. Social science methods will assess public opinion and willingness to adopt these systems, while targeted policy recommendations will encourage greater public participation. NAMOR is also researching the global market and regulatory landscape to find ways to adapt its solutions to international contexts, thus positioning itself as a pioneering solution for future urban water systems worldwide.

Keywords: membrane photobioreactor decentralized compact system microalgae bacteria cocultivation
Understanding the Working Mechanisms of Quaternary Blend Organic Photovoltaics (OPVs) (QuBics)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2026-01-31
Duration (months): 29.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: SIGNED

In response to recent climate tragedies, European Union (EU) is taking rapid action with its ambitious European Green Deal (EGD) to transform our economies and societies greener. As a result, the EU is encouraging the transformation of our buildings and vehicles from energy consumers to energy producers by installing lightweight, flexible, colourful, transparent, low-cost, and environmentally friendly solar panels. These are precisely the features of organic photovoltaics (OPVs). Despite the benefits, the commercialization of OPVs has yet to occur, with power conversion efficiency (PCE) being the primary impediment. In recent years, significant advancements in developing novel design architecture, such as quaternary blend systems (q-OPVs) that employ cutting-edge non-fullerene acceptors (NFAs), helped achieve PCE of over 18%. However, a lack of understanding of the fundamental mechanisms behind novel q-OPVs has impeded further advancement. As a result, Dr. Arunagiri Lingeswaran (experienced researcher (ER)) intends to solve this issue by employing advanced spectroscopic techniques to develop a new design rule for fabricating one-of-a-kind and highly efficient q-OPVs that go beyond the state-of-the-art. ER intends to bring an efficiency breakthrough in the OPV field by utilizing the inter/multidisciplinary aspects of research involving physics, chemistry, materials science, and device engineering to achieve this ambitious goal using the host institution's excellent infrastructural resources. The proposed project (QuBics) complements the ER's expertise in fabricating cutting-edge q-OPVs and the host scientist's knowledge of studying device physics. Overall, the new skills and expertise obtained via this fellowship will help ER mature into a better researcher capable of managing his research group in a few years, ideally in Europe, his desired career path.

Keywords: quaternary organic photovoltaics,non fullerene acceptors,renewable energy,device physics,optoelectronics,semiconductors,emerging solar technology,clean energy transition
ULTRA-ENERGY EFFICIENT AND SECURE NEUROMORPHIC SENSING AND PROCESSING AT THE ENDPOINT (NimbleAI)

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: Research and Innovation actions
Countries involved: Spain,France,Netherlands,Czechia,Italy,Belgium,Germany,Austria,United Kingdom
Call: Ultra-low-power, secure processors for edge computing (RIA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-10-01
End date: 2026-03-31
Duration (months): 42.0
Total project cost (EUR): 8822235.5
EU funding (EUR): 8822235.5
Participants: 22
Project status: SIGNED

Today only very light AI processing tasks are executed in ubiquitous IoT endpoint devices, where sensor data are generated and access to energy is usually constrained. However, this approach is not scalable and results in high penalties in terms of security, privacy, cost, energy consumption, and latency as data need to travel from endpoint devices to remote processing systems such as data centres. Inefficiencies are especially evident in energy consumption. To keep up pace with the exponentially growing amount of data (e.g., video) and allow more advanced, accurate, safe and timely interactions with the surrounding environment, next-generation endpoint devices will need to run AI algorithms (e.g., computer vision) and other compute intense tasks with very low latency (i.e., units of ms or less) and energy envelops (i.e., tens of mW or less). NimbleAI will harness the latest advances in microelectronics and integrated circuit technology to create an integral neuromorphic sensing-processing solution to efficiently run accurate and diverse computer vision algorithms in resource- and area-constrained chips destined to endpoint devices. Biology will be a major source of inspiration in NimbleAI, especially with a focus to reproduce adaptivity and experience-induced plasticity that allow biological structures to continuously become more efficient in processing dynamic visual stimuli. NimbleAI is expected to allow significant improvements compared to state-of-the-art (e.g., commercially available neuromorphic chips), and at least 100x improvement in energy efficiency and 50x shorter latency compared to state-of-the-practice (e.g., CPU/GPU/NPU/TPUs processing frame-based video). NimbleAI will also take a holistic approach for ensuring safety and security at different architecture levels, including silicon level.

Keywords: neuromorphic hardware,3d stacked silicon,bio inspiration,bio inspired hardware,reconfigurable hardware,dynamic vision sensor
Morphologically Linked Old Irish Resource (MOLOR)

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
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: CLOSED

The aim of MOLOR—Morphologically Linked Old Irish Resource—is to make Old Irish distributed lexical resources interact by using state-of-the-art data models and lexicographic standards based on the Linguistic Linked Open Data (LLOD) principles. On the basis of the 8th-century Old Irish Würzburg glosses, MOLOR will fully exploit a set of existing (both textual and lexical) resources by linking the text with a full-form lexicon containing both normalised and variant spellings as well as phonological representations. The integration of resources will benefit many different stakeholders, including lexicographers, philologists, and students, who currently work with inadequate and fragmented resources for a language with a highly complex morphology and an inconsistent and opaque orthography. Thanks to the internationally recognised expertise of the host institution, the applicant will be at the forefront of developments in LLOD and language processing for ancient languages. As a result of the envisaged mutual knowledge transfer, MOLOR is not only expected to lead to a novel standard in resource creation and interlinking for Old Irish, but it will also substantially contribute to and improve language-independent lexicographic data formats and ontologies, as such being applicable to any language and any domain. Finally, the fellowship will significantly improve the applicant’s skillset and employability due to increased interdisciplinary expertise at the intersection of the Humanities and Technology, and the fostering of new partnerships on resource creation and streamlining for ancient Indo-European languages.

Keywords: old irish,linguistic linked open data,linguistic resources,morphology,inflected lexicons
Dissecting the role of rapid auxin responses in plant morphogenesis (MORpH)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cell Biology, Development, Stem Cells and R egeneration
Panel description: For all organisms : Structure and function of the cell, cell -cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Czechia
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 1999660.0
EU funding (EUR): 1999660.0
Participants: 1
Project status: SIGNED

Plant cells, living in their cell walls, are immobile and thus tightly control growth to shape their organs and bodies. Mechanical properties of the cell wall are modulated by pH, which is governed by the activity of plasma membrane proton ATPases. The central regulator of plant growth, phytohormone auxin, regulates gene transcription. My team and I have significantly contributed to recent discoveries of additional auxin signaling pathways that act rapidly, in a non-genomic manner. Surprisingly, all auxin signaling pathways converge on the regulation of ion fluxes and cell wall pH. The central hypothesis of the MORpH project is that the rapid regulation of cell wall pH by auxin plays a fundamental role in plant development. I propose that rapid auxin responses controlled by the TIR1/AFB auxin receptors participate in the morphogenesis of the above-ground plant body and that these receptors also drive rapid responses in grasses. In this project, I will reveal the identity of molecular components of the AFB1-driven cytoplasmic auxin pathway using a forward genetic screen and protein proximity labeling approaches, exploiting the unique genetic material of my team. I will address the role of the rapid cytoplasmic auxin responses in the development of above-ground organs of the Arabidopsis model plant. By embracing a new model system relevant to cereals, Brachypodium distachyon, I will elucidate the significance of rapid auxin responses in grasses. Finally, using a combination of live-cell imaging, proteomics, and genetics, I will analyze and manipulate cell wall pH dynamics during key plant morphogenetic events, and discover the regulatory mechanisms underlying cell wall acidification. The MORpH project will uncover novel fundamental roles of rapid auxin signaling in morphogenesis, and at the same time will expand my research toward plant models relevant to cereal crops.

Keywords: plant cell wall,auxin,morphogenesis,brachypodium,live cell imaging