Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Liquid biopsies and Imaging for improved cancer care (LIMA)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,France,France,France,Netherlands,Netherlands,United Kingdom
Call: New concepts in patient stratification (H2020-SC1-2017-Two-Stage-RTD, 2017)
Start date: 2018-01-01
End date: 2022-06-30
Duration (months): 54.0
Total project cost (EUR): 6292873.75
EU funding (EUR): 6292873.75
Participants: 12
Project status: CLOSED

LIMA’s overall objective is to develop and validate technologies and tools to include liquid biopsies in the clinical workflow, aiming at introducing a more precise and dynamic genetic characterization of tumor at the diagnosis and during treatment phases. This will be done by combining molecular information from liquid biopsies and direct in-vivo tumor characterization from advanced MR imaging, taking into account the current clinical workflow. The LIMA project will be based on following 5 conceptual pillars: 1. A robust method to measure and genomically analyze ct-DNA for tumor-driving mutations, which can be measured in a quantitative manner allowing therapy response prediction and monitoring. 2. A workflow for Circulating Tumor Cell isolation and computational model-based quantitative signal pathway analysis on single CTC mRNA expression levels. This allows for assessment of tumor heterogeneity in pathway activity (to relate back to tumor heterogeneity), targeted therapy response prediction and monitoring 3. Correlation of computational, model-based cancer pathway activity assessment from cancer tissue samples before and after neoadjuvant treatment and from liquid biopsies with MR imaging features. 4. Advance in MR imaging to better probe and image the cancer lesion and its microenvironment 5. Clinical analysis, correlating liquid biopsy/imaging –based results to clinical outcome, that is the response to (targeted drug) neoadjuvant therapy in selected breast cancer and rectal cancer patients. These 5 pillars will be investigated in longitudinal observational studies that will follow patients undergoing neoadjuvant treatment (either chemotherapy or targeted therapy or the combination) for primary rectal and breast cancer. LIMA will demonstrate that prediction of drug therapy response, monitoring of response and detection of resistance can be improved over the current state of the art.

Keywords: liquid biopsy,ct dna,molecular pathway modeling,diagnosis,treatment monitoring,cancer,breast,rectal
Incremental Nonlinear flight Control supplemented with Envelope ProtecTION techniques (INCEPTION)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,France,United Kingdom,Portugal,Portugal
Call: Breakthrough innovation (H2020-MG-2016-Two-Stages, 2016)
Start date: 2017-06-01
End date: 2020-11-30
Duration (months): 42.0
Total project cost (EUR): 2386456.25
EU funding (EUR): 2386455.75
Participants: 5
Project status: CLOSED

Recent developments in the areas of nonlinear control theory and sensor technology paved the way to the derivation of flight control laws that are significantly less dependent on nominal aircraft model data. In addition, novel and complex methods which make use of advanced fault detection and online identification algorithms to estimate the aircraft’s achievable flight envelope and to provide protection in case of adverse conditions, such as system failures or damages are arising. Project INCEPTION proposes to develop and combine the abovementioned research topics, exploring the INCEPTION of an innovative approach to the design of automatic flight control systems, supported by sensor-based (almost model-independent) control laws with the ability of online reconfiguration following failure scenarios. By employing self-reconfigurable mechanisms and control laws that are less sensitive to model mismatch INCEPTION aims to provide an enhanced level of safety for future aircraft. The objective is to predict and adapt to safe flight regimes of operation, even in the presence of unprecedented and unknown failures, and to enable the development of generic flight control systems, applicable to different aerial platforms. These motivations are completely aligned with the European vision for aviation safety portrayed in the ACARE Flightpath 2050 Report, which envisages the prediction and mitigation of technical and operational issues through advanced on-board systems. Project INCEPTION focuses on researching and developing the best approach to achieve the proposed targets, to implement it into a coherent system and to test its performance in Unmanned Aircraft and evaluate its future applicability to General and Commercial Aviation. To accomplish these tasks, the INCEPTION Consortium includes renowned universities within the domains addressed by the project, a company that develops advanced inertial sensors and an SME that engineers and operates its own UAV fleet.

Keywords: nonlinear flight control,nonlinear dynamic inversion,backstepping,incremental control,adaptive control,online identification,safe flight,envelope prediction,envelope protection,flight testing
Electrochemical Graphene Sensors as Early Alert Tools for Algal Toxin Detection in Water (GrapheneBiosensor)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-26
End date: 2019-11-07
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Episodes of harmful blue algae blooms and the associated algal toxin microcystin-LR (MC-LR) occur frequently in bodies of water worldwide as consequences of eutrophication resulting from anthropogenic activities such as agricultural run-off, urban waste, and manufacturing of detergents and global warming. It had been confirmed that microcystins were responsible for some poisonings of animals and humans where water sources contained toxic cyanobacteria blooms. Microcystins were potent and specific in inhibiting protein phosphatases 1 and 2A (PPl, PP2A). Acute or prolonged exposure to microcystins would cause liver damage, followed by a massive intrahepatic hemorrhage and probably leading to death. In 1998, the provisional guideline concentration limit of 1 μg/L MC-LR in drinking water was assigned by the World Health Organization (WHO). The development of reliable methods for monitoring MC-LR in water resources is of great interest to determine the occurrence and to prevent exposure to the toxin. Several methods have been developed to detect MC-LR, such as high-performance liquid chromatography/mass spectrometry (HPLC/MS) , bio-, biochemical- and immune-assays, which require long processing times, sophisticated instruments, complex procedures, or high processing cost and are in general used in the laboratory, not in situ. A sensitive, specific, simple, and rapid method for monitoring MC-LR could help to prevent exposure to the toxin. The unique physical and electrochemical properties (e.g., high electrical conductivity, ease of functionalization, high electrochemically active surface area, and broad range of working potentials in aqueous solutions) of graphene make them a candidate material for developing novel and fit-for-purpose electrochemical biosensors/immunosensors as alternatives to the time-consuming, expensive, non-portable and often skills-demanding conventional methods of analysis involved in water quality assessment.

Keywords: graphene,mc lr,biosensor,electrochemical detection,nanomaterials
A Bayesian sense of probability in the human brain: Its characteristics, neural bases and functions (NEURAL-PROB)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-02-01
End date: 2026-01-31
Duration (months): 60.0
Total project cost (EUR): 1499963.0
EU funding (EUR): 1499963.0
Participants: 1
Project status: SIGNED

Bayesian inference optimally estimates probabilities from limited and noisy data by taking into account levels of uncertainty. I noticed that human probability estimates are accompanied by rational confidence levels denoting their precision; I thus propose here that the human sense of probability is Bayesian. This Bayesian nature constrains the estimation, neural representation and use of probabilities, which I aim to characterize by combining psychology, computational models and neuro-imaging. I will characterize the Bayesian sense of probability computationally and psychologically. Human confidence as Bayesian precision will be my starting point, I will test other formalizations and look for the human algorithms that approximate Bayesian inference. I will test whether confidence depends on explicit reasoning (with implicit electrophysiological measures), develop ways of measuring its accuracy in a learning context, test whether it is trainable and domain-general. I will then look for the neural codes of Bayesian probabilities, leveraging encoding models for functional magnetic resonance imaging (fMRI) and goal-driven artificial neural networks to propose new codes. I will ask whether the confidence information is embedded in the neural representation of the probability estimate itself, or separable. Last, I will investigate a key function of confidence: the regulation of learning. I will test the implication of neuromodulators such as noradrenaline in this process, using both within and between-subject variability in the activity of key neuromodulatory nuclei (with advanced fMRI), the cortical release of noradrenaline during learning and its receptor density (with positron-emission tomography) and test for causality with pharmacological intervention. Characterizing the sense of probability has broad implications: it should improve our understanding of the way we represent our world with probabilistic internal models, the way we learn and make decisions.

Keywords: bayesian inference,computations,multi modal neuroimaging,neuromodulation metacognition
Women Writing Architecture: Female Experiences of the Built 1700-1900 (WoWA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Switzerland
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-02-01
End date: 2026-01-31
Duration (months): 60.0
Total project cost (EUR): 1454735.0
EU funding (EUR): 1454735.0
Participants: 1
Project status: SIGNED

WoWA studies female experiences of architecture as recorded in documentary writing drawn from specific regions in South America and Europe between 1700 and 1900. While architectural histories often focus on male-dominated processes of design and production, this project takes a new stance by unearthing women’s contributions to the architectural sphere through writing and editing. While not part of the canon, articles, travelogues, domestic manuals, or pamphlets authored by women in the period consistently featured descriptions of or commentary on buildings and cities, but these have never been examined collectively by architectural historians. Through a combination of macro and micro research, close and distant reading, geographical mapping and tracing of experience, WoWA addresses this gap opening up a new corpus and presenting architecture’s past through the female eye. I suggest that, by exploring women’s writing, we can uncover female agency within architecture in a period that has thus far been considered as male governed. I believe that architectural history as a discipline has to look beyond the production of buildings to processes of reception and appropriation in order to fully understand the past of the built environment as experienced and shaped by colonised groups, such as women. Over a period of dramatic social, political, technological, and architectural transformations on both sides of the Atlantic, WoWA explores specific case studies of women documenting both everyday experiences of built spaces as well as canonical architectural events. Interdisciplinary in method and scope and employing feminist approaches focusing on modes of writing, voice, and subjective experience, the team of PI, Postdoc, and PhD will expose female publics of architecture in and between Chile, Peru, Argentina, Britain, and German-speaking Europe a time of industrialisation, colonisation and revolution, nation building and independence, historicism and professionalisation.

Keywords: architectural experience,women s history,representation,print cultures,the public sphere,colonial and post colonial history,transnational history,nation building
Governing activation in Ireland: comparing Ireland's mixed-economy of public employment services (GAII)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-01-06
End date: 2022-01-05
Duration (months): 24.0
Total project cost (EUR): 196590.72
EU funding (EUR): 196590.72
Participants: 1
Project status: CLOSED

Public employment services (PES) are undergoing major reform in Ireland. Mandatory job search and other forms of conditionality are being extended to more and more people while the delivery of programmes targeted at the long-term unemployed are being privatised. These reforms have been actively promoted by the OECD and form a core plank of the Irish government’s strategy to achieve its employment targets under the Europe 2020 Strategy. Yet their impact on the labour market reintegration of long-term unemployed remains unclear due to the total absence of independent research on the contracting-out of activation services in Ireland. I am an experienced Irish researcher currently based within a high-profile research team at the University of Melbourne that has been studying the contracting-out of PES for nearly 20 years. This fellowship will enable me to return to Ireland to undertake the first sustained comparative study of PES contracting in Ireland, under the supervision of Dr Mary Murphy, one of the leading contributors to national debate on welfare reform in Ireland. It will be undertaken at Maynooth University (National University of Ireland) and include cross-sectoral secondments – with Department for Employment Affairs and Social Protection, the Irish Local Development Organisation (which represents Local Employment Services), and the Irish National Organisation of the Unemployed - designed to maximise the project’s impact through rapidly integrating me into policy networks, advocacy and practitioner communities. In providing the first comparative study of contracted-out PES provision in Ireland, and the impact of marketization on the labour market re-integration of disadvantaged social groups, the fellowship will build understanding of how recent welfare reforms have contributed to the attainment of key National Strategic Policy objectives and wider European and UN Sustainable Development Goals.

Keywords: new public management,market governance of activation
Sinofinancialization and urban change in Addis Ababa and Nairobi: an ethnography of private Chinese capital in African cities. (SURGE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,South Africa
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2023-09-30
Duration (months): 36.0
Total project cost (EUR): 194433.6
EU funding (EUR): 194433.6
Participants: 2
Project status: SIGNED

SURGE is a qualitative, ethnographic study of urban transformation driven by private Chinese capitals in Africa. Current research on Africa-China relationships focuses on major government-driven investments, such as the Belt and Road initiative, which is the most recent example of China’s increasing presence in Africa. Scholarly attention is thus directed toward the state and the continental scale, overlooking private and provincial Chinese investments in Africa and their consequences on cities. Very little is known about non-state-driven financial operations of Chinese entrepreneurs, or about the responses of African cities to the influx of Chinese capitals. SURGE addresses these knowledge gaps with an urban ethnography of the sinofinancialization of two African cities that offer two different models of China’s involvement in Africa: Addis Ababa, for manufacturing, and Nairobi, for high-value services. The research will explore the key urban sites of these financial operations: special economic zones, new towns, technology hubs and master-planned estates, charting the spatial and economic consequences of private Chinese capitals in the making of 21st-century African urban worlds. Methodologically, SURGE will be a multi-sited ethnography of financialization and will combine two disciplines: economic geography and social studies of finance. The overall aim of SURGE is to contribute to postcolonial urban studies, by foregrounding the diversity of Chinese capital in Africa, and the agency of African cities in attracting and harnessing these investments for purposes of social justice and sustainability that are at the forefront of urban restructuring in the continent.

Keywords: african cities,chinese capital,china africa relations,financialization
An Artificial Intelligence Capable of Detecting Counterfeit Products Using a Cell Phone Camera (Microguard)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-07-01
End date: 2023-03-31
Duration (months): 33.0
Total project cost (EUR): 2010750.0
EU funding (EUR): 1407504.88
Participants: 1
Project status: SIGNED

Counterfeiting is a crime, involving the manufacturing or distribution of goods under someone else's name, and without their permission. According to an International Chamber of Commerce, the total value of counterfeit and pirated goods globally is around €1.77 trillion. Each year EU companies lose €83 billion in sales due to counterfeited products. Although the counterfeiting has been a problem for decades, there is no effective solution that allows consumers to simply verify authenticity of products or for companies to effectively protect supply chains. Moreover, counterfeit goods are generally made from lower quality components that put the health and safety of consumers at risk. In these days of international emergency the news report that China has confiscated over 31 million counterfeit medical face masks that have fled the market due to the Coronavirus (COVID-19) emergency. Global retailers such as Amazon and Etsy have also reported cases. Cypheme introduces two AI-based counterfeit detection systems that allow a consumer to determine if a product is an original branded product using only a standard smartphone camera. Microguard labels use a combination of novel security features, including a micro-structured varnish that can only be read with an artificial intelligence technology developed by Cypheme to authenticate the product. Microguard DeepTrace is an algorithm able to extract deep spectral information from printed pigments, providing a revolutionary measure of authenticity without any modification of the packaging or product. Microguard is unique in the level of security it provides and its resistance to forgery by counterfeiters. Microguard solutions have already gained market traction, trusted to protect more than €140 million worth of products. The Phase 2 project will address the technical challenges to achieve scale up and provide commercial demonstration and validation with suitable partners to facilitate full-scale market entry.

Keywords: counterfeit,anti counterfeiting,varnish,brand protection,consumer good protection,authentication,packaging,label,border security,security feature,covid 19
Interdisciplinary Model of Schooling: Exploring Ethical Culture in International Science Assessments (DISCOVERING)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Israel,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-09-01
End date: 2018-08-31
Duration (months): 24.0
Total project cost (EUR): 177319.8
EU funding (EUR): 177319.8
Participants: 2
Project status: CLOSED

Exploring the effect of School Ethical Culture (SEC) on students' science achievements is the goal of this study. The integrative model that I propose demonstrates the impact of both external and internal school factors on the TIMSS 2011 assessments. The originality of this proposal is rooted in three points: (A) The fact that the focus on SEC as a predictor of student achievement in science is currently unnoticed in international assessment studies; (B) No previous study has investigated the differences in SEC among participating countries; and (C) This study focuses on ethical perceptions from the viewpoints of principals, students, and teachers. Addressing the study's objective, I will conduct a multi-international disciplinary study that will draw on data from approximately 45 countries, including much of Europe and others. The study will examine the dimensions of SEC separately for teachers, students, and principals by calculating the factor loadings of the latent SEC for each questionnaire and applying hierarchical linear modelling to estimate the effect of student-, school- and country-level on science achievement. The hope is that the findings will prompt a rethinking of analytical models of schooling and facilitate the design of ethical policies that could narrow achievement gaps. This approach could establish a new research field in education. The proposed study will draw on Prof. Benavot’s supervision (outgoing host, SUNY at Albany), and his close contacts with many European researchers, as well as on Dr. Klein's (supervisor, return host, BIU) expertise in effective learning and national assessments. I see great potential for using this study to establish long-term collaborations with European and American scientists through my experience and contacts with other European researchers. Moreover, this fellowship will deepen my research, facilitating my advancement to the next stage of my academic career.

Keywords: organisational ethics,school ethical culture,international learning assessment,teachers,students,schools