Data-Gouv-ML/pcri-erc-participations-et-projets-laureats huggingface dataset:
Projet ERC : SYST-E-MET (Horizon Europe, appel 2025, Starting grants)
Domaine scientifique : Life Science
Panel : Prevention,  Diagnosis and T reatment of Human Diseases
Entité participante : Université de Linköping — Pays : Suède — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1499987.0 €

What would you do if you were diagnosed with pancreatic cancer? The chance that it would happen is not that high (life-time risk of 1/60), but neither is the chance to survive (10%). In addition, the quality of life as a patient is severely compromised by inadequate understanding of the metastatic process, and lack of targeted treatment options or biomarkers to individualize treatment, leading to severe side-effects despite lack of treatment response in most cases. To make a difference and challenge this disease, by appreciating the systemic nature of cancer, I propose to focus on the role of the liver, the main organ of metastasis leading to subsequent death, in pancreatic cancer. I recently demonstrated the potential of using liver-derived information to predict outcomes in pancreatic cancer patients undergoing resection for localized disease (Bojmar et al., Nature Medicine, 2024). With this proposal, I suggest that the liver plays an active role in the progression of pancreatic cancer, and that this can be used to inform on treatment decisions, thereby improving the survival and quality of life in this patient group. I will investigate this concept through a translational study led by my team to evaluate treatment decisions guided by liver-based diagnostics, aiming at directing treatment locally or systemically, based on the metastatic biology of the cancer. Improving our knowledge about this stage of the disease could provide a treatment-window and open the door for tailoring chemo- and immuno-therapy, based on the systemic nature of the disease. I am uniquely positioned to lead this study, with my previous experience from the U.S., leading the first study of the human “pre-metastatic liver” in pancreatic cancer patients. Now independently established with my translational team and liver-based trials in the Swedish population, I aim to understand and tackle pancreatic cancer’s metastatic potential, thereby improving the life of afflicted patients.

Mots-clés : pancreatic cancer,metastasis
Projet ERC : 4D-PhytoHybrid (Horizon Europe, appel 2021, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Materials Engineering
Entité participante : Université de Linköping — Pays : Suède — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1499477.5 €

Modern technology relies on fully artificial systems. While in many cases these systems are high performing there have been approaches to add further complexity or intelligence inspired by natural processes. Biomimetic systems however are purely synthetic and cannot fully mimic the high complexity of living systems. The overall goal of the 4D-PhytoHybrid is to develop photosynthetic biohybrid systems that maintain fundamental properties of the living components and set the foundation for the development of a generic hybrid technology. The biohybrid system will consist of four dimensions with increasing level of complexity and sophistication. The first dimension consists of the plant cells with their natural ability to photosynthesize and produce sugars, oxygen, sequester CO2 but also produce materials as cell wall components. The second dimension is represented by the non-native functionality of the living cells that is acquired with electronic, biocatalytic and structural materials that integrate into the plant cell wall. The third dimension is the 3D spatial organization of cells and physicochemical gradients with additive manufacturing. The fourth dimension is time that will enable responsive and evolvable functionality of the biohybrid system driven by the cell processes. I have a background in organic electronic materials, bioelectronics and plant based biohybrid systems. I was the first to demonstrate plants with augmented electronic functionality, but also to discover conjugate oligomers that can polymerized in vivo by the plant and assemble into functional components in the plant cell wall. My unique skillset and expertise will therefore ensure the successful implementation of the proposed high risk / high gain project. With the ERC funding, I will establish a team for developing next generation technology based on photosynthetic biohybrid systems in order to open the pathway for new technological concepts and launch a European hub for living technology.

Mots-clés : photosynthetic biohybrids,3d bioprinting,organic electronics,plant biology,conjugated polymers
Projet ERC : PRD (Horizon Europe, appel 2022, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : Institutions, Governance and Legal Systems
Entité participante : Université de Catane — Pays : Italie — Rôle : Partner
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 39625.0 €

This project addresses the question of how people incorporate increasingly prevalent nonelectoral political acts into individual-level repertoires of participation; and how well represented these different types of political participators are. At a time of growing concern about unequal representation in democracies, two conflicting global trends over the last several decades highlight the importance of these questions: a clear decline in voter turnout, especially among lower status groups; and evidence of increased nonelectoral participation, especially among higher status groups. To assess how these trends in political participation affect patterns of representation, PRD’s theoretical framework integrates new approaches for investigating the links between individuals’ participation repertoires (i.e., how individuals combine voting, protest, online activism) and objective and subjective representational outcomes.  PRD’s work packages employ a multi-method approach: “Political acts and political participators” (WP1) analyzes separate surveys and a harmonized dataset and includes methodological innovations using new techniques for identifying participation repertoires. “Participation-representation connection” (WP2) investigates the connections between the political acts and political participators analyzed in WP1 and representational outcomes, and integrates these findings with qualitative fieldwork with activists who focus on unequal representation. Finally, “Mobilizing and organizing low-status groups” (WP3) conducts novel experimental studies using Twitter panel data and field experiments to identify interventions with the potential to produce more equal representational outcomes in the future. By combining an original theoretical framework and methodological innovations, PRD will conduct a uniquely comprehensive empirical investigation of participation repertoires, with a focus on mechanisms that can reduce inequalities in participation and representation.

Mots-clés : political participation,political behavior,unequal representation,digital media,public opinion,responsiveness,congruence,political attitudes,political efficacy,comparative analysis,data harmonization,latent class analysis,latent variable analysis,experimental design,twitter panel
Projet ERC : EFTGrav (Horizon Europe, appel 2025, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Fundamental Constituents of Matter
Entité participante : Université de Murcie — Pays : Espagne — Rôle : PI
Acronyme de l'entité : UM
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1501250.0 €

The detection of gravitational waves (GWs) from binary black holes (BBHs) allows us to test the predictions of General Relativity (GR) in a highly-warped regime for the first time in history. Input from fundamental physics indicates that GR is not a complete theory, and therefore it must undergo modifications that would become relevant in extremely powerful gravitational fields. The next generation of GW observatories will probe extreme gravitational phenomena with a new level of precision, and hence opens a new window to observe the effects of these modifications. This project will describe the most relevant smoking-gun signatures of modifications of GR on GW observations of BBHs, therefore enabling the experimental search of new physics. By working within the framework of effective field theory (EFT) —which captures the most general modifications of GR in an agnostic way — we will analyze the impact of beyond-GR physics on several key observables. We will provide a thorough analysis of the quasinormal modes (QNMs) of black holes — which control the ringdown part of the GW signal — introducing a novel formulation of perturbation theory as well as a correspondence between QNMs and modified geodesics. We will obtain the QNM frequencies of black holes of arbitrary rotation (including the challenging case of highly rotating black holes) and we will also analyze the amplitudes of QNMs. This will allow us to accurately model the ringdown signal and to identify resonances that would amplify the effects of new physics. We will also describe the inspiral of a BBH in the EFT extension of GR, accounting for corrections to radiation reaction and tidal effects — which we will analyze in detail by determining the tidal deformability of rotating black holes. In this way, we will obtain inspiral waveforms for spinning BBHs beyond GR. Our results will make it possible to perform precision tests on modifications of GR with the next generation of GW observatories.

Mots-clés : higher derivative gravity,black hole perturbation theory,binary black holes
Projet ERC : SOC-MISC (Horizon Europe, appel 2022, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : Human Mobility, Environment, and Space
Entité participante : Institut national d'études démographiques — Pays : France — Rôle : PI
Acronyme de l'entité : INED
Type d'entité : Recherche
Financement ERC de l'entité : 981037.5 €

One in four women experience a miscarriage. Loss of pregnancy may affect fertility intentions and lead to adverse mental and physical health. Yet, we know little about how social inequalities affect the risk of miscarriage; how miscarriages may exacerbate existing social inequalities in population health; or how context shapes these experiences. One reason for this is poor quality of data, as miscarriages are often either underreported in surveys or only included in health registers if they require hospital care. Moreover, to date, sexual and reproductive health has often been ignored in life course epidemiology.  This proposal goes beyond the state-of-the-art by being the first comprehensive study of the patterns of social inequality in miscarriage and its outcomes. It reaches this goal by assessing the patterns of miscarriage underreporting in surveys before obtaining its estimates. It will make ground-breaking contributions by:  1) Analysing underreporting patterns of miscarriage and using this in further analyses to obtain more reliable results than before. 2) Showing how individual and family-level social inequalities affect miscarriage risk over the life course. 3) Establishing how mental and physical health consequences of miscarriage depend on one’s social background and may widen social inequalities in health. 4) Uncovering the role of national and sub-national context in social inequalities in miscarriage.  Unlike many previous studies based on small and outdated samples, I use longitudinal population registers and large representative surveys in Finland, France and the UK that are exceptionally rich in miscarriage, socioeconomic, other reproductive and health data, and can be triangulated to obtain more reliable results.  The project will lead to a significantly better understanding of a common reproductive experience affecting mental and physical wellbeing, and can help policy makers improve reproductive and population health.

Mots-clés : miscarriage,sexual and reproductive health,social demography,sociology,social epidemiology,pregnancy,social inequalities in health
Projet ERC : BodyCrave (Horizon Europe, appel 2025, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Compl exity
Entité participante : Cliniques Universitaires Saint-Luc — Pays : Belgique — Rôle : Partner
Type d'entité : Autres
Financement ERC de l'entité : 147425.0 €

Despite extensive research and numerous therapeutic efforts, addiction remains a chronic condition for many individuals, with relapse rates alarmingly high. Traditional approaches predominantly emphasize cognitive and neural aspects of addiction, often overlooking the crucial interoceptive dimension, the perception of internal bodily states. Even though evidence suggests that physiological states contribute to the development and persistence of addiction, and patients report intense bodily sensations during craving episodes, we still lack tools to measure bodily processes associated with craving, understand their role in addiction risk, and effectively address them in therapy.  Through a transdiagnostic and multidisciplinary approach, I will address the interoceptive basis of craving. Work Package 1 involves experimental craving induction and self-administration procedures in non-clinical alcohol and tobacco users to establish how interoceptive processes influence the motivation to consume substances and contribute to escalation in substance use severity. Work Package 2 extends this research to real-world settings using Ecological Momentary Assessment (EMA) in patients diagnosed with alcohol and tobacco use disorder. By integrating real-time data on craving, stress, and interoception into network analyses, I aim to identify interoceptive markers predictive of craving and relapse. Finally, a randomized controlled trial will test the effectiveness of incorporating individualized interoceptive feedback generated from EMA data into cognitive-behavioral therapy.  By focusing on the bodily dimension of craving and relief, this approach brings novel perspectives to the aetiology of addictive disorders and can yield breakthrough interoception-based treatments that can improve therapeutic efficacy and reduce relapse rates, addressing what it feels like to be in the body of someone suffering from addiction.

Mots-clés : interoception,addiction,craving,alcohol use disorder,tobacco use disorder,ecological momentary assessment,network analysis,randomized controlled trial,respiratory interoception,cardiac interoception,psychophysiology,psychopharmacology,alcohol administration,tobacco administration
Projet ERC : LS-Photonics (Horizon Europe, appel 2022, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Systems and Communication Engineering
Entité participante : Ipronics programmable photonics,sl — Pays : Espagne — Rôle : PI
Acronyme de l'entité : IPRONICS PROGRAMMABLE PHOTONICS
Type d'entité : Organismes privés (hors enseignement)
Financement ERC de l'entité : 1499325.0 €

Emerging communications and computing fields are pushing the limits of integrated electronics demanding growing performance and requiring to symbiotically team up with integrated photonics. The development of multipurpose programmable photonic integrated circuits promises cost-effective mass production and the system versatility required in novel dynamic processing scenarios. However, their scalability is a major challenge constrained both by hardware and software. To unleash the potential of programmable photonics it is essential to create novel circuits and components as well as to re-define its fundamentals. Multicore architectures are a potential unexplored solution offering scalability, multitasking, and parallelization, but key technology enablers are required to jump to practical large-scale applications. The aim of this project is to develop the theoretical and technological fundamentals of programmable integrated photonics to unlock their limited-scale by developing the first large-scale multicore programmable photonic processor and its application as a complex-valued neuromorphic computer. To achieve this aim, we will (i) identify the main scalability limits, advanced photonic circuit architectures and component development solutions for large-scale programmable photonic circuits; (ii) develop a functional single-core programmable photonic processor with more than 2500 phase actuators; (iii) demonstrate large-scale complex-valued coherent neuromorphic circuits; and (iv) develop a functional 4-core programmable photonic processor with more than 10000 actuators and demonstrate its experimental application to photonic neuromorphic systems. LS-PHOTONICS’s will have a major impact on high-density integrated photonics circuits by facilitating a new paradigm of general-purpose/application, advanced photonic computing and ready-to-use and flexible devices that will extend the penetration of advanced photonics technology into seamless areas of application.

Mots-clés : integrated optics,optimization algorithms,programmable photonics,neuromorphic computing
Projet ERC : Health-AI (Horizon Europe, appel 2022, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Soci al World and Its Interactions
Entité participante : Université d'Amsterdam — Pays : Pays-Bas — Rôle : PI
Acronyme de l'entité : UvA
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1499961.0 €

This project will study a multi-sited ethnography of a currently evolving revolution in global health systems: big data/AI-informed national health governance. With health data being considered countries’ ‘future oil’, public and scholarly concerns about ‘algorithmic ethics’ rise. Research has long shown that datasets in AI (re)produce social biases, discriminate and limit personal autonomy. This literature, however, has merely focused on AI design and institutional frameworks, examining the subject through legal, technocratic and philosophical perspectives, whilst overlooking the socio-cultural context in which big data and AI systems are embedded, most particularly organizations in which human agents collaborate with AI. This is problematic, as frameworks for ‘ethical AI’ currently consider human oversight crucial, assuming that humans will correct or resist AI when needed; while empirical evidence for this assumption is extremely thin. Very little is known about when and why people intervene or resist AI. Research done consists of single, mostly Western studies, making it impossible to generalize findings. The innovative force of our research is fourfold: 1) To empirically analyze decisive moments in which data-analysts follow or deviate AI: moments deeply impacting national health policies and individual human lives. 2) To do research in six national settings with various governmental frameworks and in different organizational contexts, enabling us to contrast findings, eventually leading to a theory on the contextual, organizational factors underlying ethical AI. 3) To use innovative anthropological methods of future-scenarioing, which will enrich the anthropological discipline by developing and finetuning future-focused research. 4) The research connects anthropological insights with the expertise of AI-developers, and partners with relevant health decisionmakers and policy-institutions, allowing to both analyze and contribute to fair AI.

Mots-clés : human nonhuman collaboration human algorhitm interaction ethical ai human in the loop responsible ai fair ai human oversight
Projet ERC : PREVENT (Horizon Europe, appel 2022, Starting grants)
Domaine scientifique : Life Science
Panel : Integrative B iology : from Genes and Genomes to S ystems
Entité participante : Hôpital universitaire de la Charité de Berlin — Pays : Allemagne — Rôle : PI
Acronyme de l'entité : Charité
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1498316.0 €

Vascular malformations are clinically very heterogeneous ranging from small local ‘birthmarks’ to life-threatening entities affecting entire limbs, organs or larger parts of the human body. Often, these conditions require surgical and/or pharmacological intervention to prevent further disease progression and to increase patients’ quality of life. Therefore, an accurate diagnosis is crucial for appropriate treatment and management. However, our current knowledge on vascular malformations is very limited, making diagnosis and treatment very difficult due to: 1) An inadequate understanding of the underlying histological alterations causing the phenotype. 2) Very limited genetic diagnostic testing, which in most cases does not allow a confirmed molecular diagnosis. 3) Poor curative surgical and pharmacological treatment approaches. As the current pharmacological therapy regimen with drugs from oncology or transplantation medicine is more like a try & error than a precision medicine approach, there is a high risk of drug side effects and non-response to therapy and thus progression of the disease. I want to tackle these obstacles with a multidisciplinary approach to precision medicine for vascular malformations to prevent disease progression and improve patient outcomes. Therefore,my proposed workflow provides: 1) A novel histological classification based on deep phenotyping using diagnostic AI-assisted 3D-Histology, 2) Improved diagnostic testing through analysis of the coding and non-coding genome using state-of-the-art sequencing techniques and bioinformatics tools, and 3) Patient-tailored pharmacological treatments based on FDA-approved drug sub-library screenings tested on the patient-derived cells using state-of-the-art imaging techniques. This innovative approach to precision medicine has the great potential to transform clinical practice and provide for the very first time state-of-the-art diagnosis and treatment for patients with vascular malformations.

Mots-clés : precision medicine,vascular diseases,rare diseases,genetic testing,histology,imaging,pharmacological treatment of rare diseases