Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Galileo-Enhanced MOTIT: an electric scooter sharing service for sustainable urban mobility (G MOTIT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Innovation actions
Countries involved: Spain,Spain,France,United Kingdom
Call: Small and Medium Enterprise (SME) based EGNSS applications (H2020-Galileo-2014-1, 2014)
Start date: 2015-01-01
End date: 2017-03-31
Duration (months): 27.0
Total project cost (EUR): 1288525.0
EU funding (EUR): 947717.5
Participants: 6
Project status: CLOSED

Causing peaks in pollution, wasted time and noise nuisance, traffic jams are one of the greatest challenges to overcome for the majority of large cities around the world. It’s a problem that affects the richest countries and developing countries alike, and the possible solutions are as slow to put in place as they are difficult to enforce. Moreover, the reduction of global greenhouse gas emissions is one of the major challenges of the 21st century. These facts highlight the need of efficient and environmentally sustainable urban mobility services that do not generate CO2 emissions and ease traffic congestion. Within this context, an innovative service has been developed in order to solve mobility problems in the city of Barcelona and potentially major metropolitan areas in Europe. MOTIT is a unique and innovative electric scooter sharing service, in which users may pick up and drop off vehicles wherever and whenever they want. MOTIT allows users to reserve a scooter with their smartphone, and some minutes before the start of the trip he receives a notification on his smartphone with the position of the vehicle assigned. Vehicle positioning performance is key for the success of the service, since the user is informed on where to pick up his vehicle based on this source. During initial pilot operations, supported by European Commission R&D funding , GPS-based solution (embedded on the tablet device of the vehicle) has proven not to be a reliable solution because of: • Lack of availability in certain areas of the city (deep urban) • Positioning errors, and therefore misleading scooter location information to user Therefore, G-MOTIT project aims to overcome these problems by developing and integrating an EGNSS-based location technology. The location solution will be validated both functionally and operationally through a small-scale demonstration in Grand Paris region.

Keywords: egnos,electric vehicle,scooters,carsharing,urban,mobility
Improved energy and resource efficiency by better coordination of production in the process industries (CoPro)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries
Action type: Research and Innovation actions
Countries involved: Spain,Austria,Germany,Germany,Spain,Spain,Germany,Germany,Germany,Germany,Spain,Switzerland,Belgium,Greece,France,France,United Kingdom,United Kingdom
Call: Plant-wide monitoring and control of data-intensive processes (H2020-SPIRE-2016, 2016)
Start date: 2016-11-01
End date: 2020-06-30
Duration (months): 44.0
Total project cost (EUR): 6537270.0
EU funding (EUR): 6059645.0
Participants: 21
Project status: CLOSED

The goal of CoPro is to develop and to demonstrate methods and tools for process monitoring and optimal dynamic planning, scheduling and control of plants, industrial sites and clusters under dynamic market conditions. CoPro will provide decision support to operators and managers and develop closed-loop solutions to achieve an optimally energy and resource efficient production. In most plants of the process industries, the energy and resource efficiency of the production depends critically on discrete decisions on the use of equipment, shutdowns, product changeovers and cleaning or regeneration of equipment. CoPro will consider these discrete decisions in plant-wide dynamic optimization and develop integrated scheduling and control solutions. Advanced online data analytics will be developed for plant health and product quality monitoring. The detection of anomalies will trigger fast re-scheduling and re-optimization. CoPro will demonstrate advanced plant-wide and site-wide coordination and control in five typical use cases that cover a wide range of sectors of the process industries, and the whole value chain: - Petrochemical production site - Base chemicals and polymer production site - Recycling system in cellulose production - Consumer product formulation and packaging plant - Food processing plant In addition,CoPro will develop methods for the coordination of plants in industrial parks that belong to different companies, thus providing a basis for future industrial symbiosis. CoPro pays special attention to the role of operators and managers in plant-wide control solutions and to the deployment of advanced solutions in industrial sites with a heterogeneous IT environment. As the effort required for the development and maintenance of accurate plant models is the bottleneck for the development and long-term operation of advanced control and scheduling solutions, CoPro will develop methods for efficient modelling and for model quality monitoring and model adaption

Keywords: plant wide control,plant monitoring,site wide coordination,inter company coordination,efficient model development,integrated scheduling and control,it integration platform,advanced hmi
Exploring new applications of amino acid covariation analysis in modelling proteins and their complexes (ProCovar)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-11-01
End date: 2022-04-30
Duration (months): 66.0
Total project cost (EUR): 2433679.0
EU funding (EUR): 2433679.0
Participants: 1
Project status: CLOSED

As a result of the rapid development of next generation sequencing, we now have access to hundreds and often many thousands of sequences which belong to the same family. Such a large amount of sequence data for a particular protein family, along with recent developments in computational statistics, enables an entirely new kind of evolutionary analysis to be performed on sequences, where for the first time we can compute statistically significant networks of correlated mutations. The proposal describes an integrated programme of work to fully explore the potential applications of the new amino acid covariation techniques in predicting aspects of protein structure and function. A particular emphasis in this proposal are proteins which are difficult to study by experimental techniques i.e. disordered proteins, transmembrane proteins and large complexes. The first objective will be to explore key developments in the underpinning algorithms, tackling both the issue of needing very large numbers of homologous sequences and also the downstream 3-D embedding to produce viable models. The second objective will involve experimental work with a collaborator where the idea that de novo protein design techniques might be exploited to artificially expand the set of available sequences for a given proto-family will be explored. The third objective will focus specifically on transmembrane protein modelling, where covariation-based approaches have proven to be highly effective. Here the goal will be to extend our existing FILM3 method to encompass both beta-barrel type TM proteins, but also to try to handle the issue of homomultimers, which is a critical aspect of TM protein modelling as so many families are known to adopt higher orders of structure than the fold level alone. Finally, applications of covariation analysis to probing multiple conformations of disordered proteins will be developed, with a specific focus on interactions of disordered proteins with DNA and RNA.

Keywords: protein co evolution,protein structure prediction,transmembrane proteins,natively disordered proteins,protein design,correlated mutations,protein protein interactions
Olfactory processing of repellent and attractive stimuli in the brain of Drosophila (OPRAS)

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: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-04-01
End date: 2019-03-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Mosquito-borne diseases present one of the greatest threats to human health. Mosquitoes find humans by detecting human body odour and CO2 with their olfactory system. This project addresses the fundamental and still unresolved question of how odorant valence is coded in the brain and why odorants that are attractive (positive valence) at low concentrations, switch to being repulsive (negative valence) at high concentrations. This phenomenon of valence switch is well conserved throughout the animal kingdom and represents an ideal paradigm to address a key question in the neurosciences, i.e. how information processing in neuronal networks leads to behavioural responses. To advance the understanding of valence coding and olfactory processing, the Experienced Researcher (ER) will capitalise on her detailed knowledge of the evolutionary well conserved olfactory system of the fruitfly Drosophila melanogaster, using its powerful genetic and experimental approaches (e.g. Riabinina et al, 2015, Nature Methods; Gao et al, 2015, Nature Neuroscience). The key goal of the project is to identify patterns of neuronal activity that code for odorant valence. To achieve this goal, we will record responses of small subsets of genetically labelled second-order olfactory neurons by patch-clamp while activating olfactory receptor neurons optogenetically or by odorants of known behavioural valence. We will apply statistical and machine learning techniques to detect parameters of neuronal activity, indicative of odorant valence. This project is significant for three reasons. First, it will dramatically improve our understanding of the mechanisms of olfactory processing likely applicable across species. Second, it will create new genetic reagents and experimental solutions, widely applicable across research areas and model organisms. Third, it will create a solid foundation for future development of powerful olfactory control strategies of insect disease vectors.

Keywords: olfaction,drosophila,odour valence
Reading the genetic history of parchment manuscripts. (SCRIBE)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Medieval texts are a window into the monastic world and an integral part of European written history. Most of our current understanding of the processes of codex construction comes from the careful examination of the clues to manufacture on the object itself, the practice of codicology. Increasingly scholars are interested in the material qualities of the book. How and why were the decisions on the selection of materials made? Recent advances in analytical methods are broadening the reach of codicology in unexpected ways and enabling these questions to be addressed. The SCRIBE project is at the forefront of this burgeoning field of molecular codicology, having developed and implemented an exciting new minimally destructive DNA sampling technique, derived from routine parchment conservation practice. SCRIBE will further implement this method to generate two novel high throughput genomic datasets from parchment manuscripts. Firstly the materiality of the manuscripts will be described by assessing the genetic relationship between the animals used to complete the codices. Secondly SCRIBE will be the first study to combine high throughput metagenomic techniques and novel bioinformatic approaches to a large sample size of documents in multiple archives to look at the microbial fingerprints of parchments, to complement their provenance and curation.

Keywords: parchment,codicology,genomics,microbiology
Transient directing group for catalytic distal C–H functionalisation (distalC-Hfun)

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: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-04-08
End date: 2022-11-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The development of methods for the transition metal (TM) catalyzed functionalisation of C–H bonds has emerged as an extremely important topic in present-day organic synthesis aiming at providing tools that allow treating the ubiquitous and normally inert C–H bonds as any other functional group for synthetic modifications. However, controlling the site of C–H activation or distinguishing between the subtle differences in reactivity of two given C–H bonds is one of the major challenges yet to be addressed. In this context, meticulous design of directing groups (DG) over the last decades has enabled a variety of relatively unreactive C–H bonds to be functionalised under transition metal catalysis. To date, much progress has been made in developing strategies for the ortho-functionalisation of arenes mainly through the installation of DGs in the stoichiometric amount. However, these DGs are not part of the final target molecule; as a consequence, its covalent installation and/or removal from the substrate will add additional steps to the synthetic sequence thus lowering the efficiency and applicability of these approaches. On the other hand, distal meta- and para-C–H functionalisation approaches, are extremely scarce despite these substitutions are widespread motifs amongst biologically active molecules. The research outlined in this proposal aims at developing a process that makes use of a transient DG in a catalytic amount which binds reversibly with carbonyl compounds via imine formation leading to a novel direct meta- and para-functionalisation methodology. Precisely, we seek to develop a protocol that removes the need for the use of stoichiometric directing groups to activate distal C–H bonds. The realization of the proposed objectives will push the boundaries of the state-of-the-art in the area of remote C–H bond functionalisation by providing atom and step economical access to molecules that are difficult to prepare via conventional multi-step routes.

Keywords: transient directing group,c h bond activation,meta c h,para c h,transition metal,catalyst,ligand,metallacycle,palladium,aminoquinoline,imine,enamine
Zooming the link between diet and brain health: how phenolic metabolites modulate brain inflammation (LIMBo)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Portugal
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-04-01
End date: 2025-09-30
Duration (months): 78.0
Total project cost (EUR): 1496022.0
EU funding (EUR): 1199697.0
Participants: 2
Project status: SIGNED

Currently a big concern of our aging society is to efficiently delay the onset of neurodegenerative diseases which are progressively rising in incidence. The paradigm that a diet rich in the phenolics, prevalent e.g. in fruits, is beneficial to brain health has reached the public. However their mechanistic actions in brain functions remain to be seen, particularly since the nature of those acting in the brain remains overlooked. I wish to address this gap by identifying candidate compounds that can support development of effective strategies to delay neurodegeneration. Specifically, I will be analysing the potential of dietary phenolics in both prevention and treatment (i.e delay) of neuroinflammation – key process shared in neurodegenerative diseases. To break down the current indeterminate status of “cause vs effect”, my vision is to focus my research on metabolites derived from dietary phenolics that reach the brain. I will be investigating their effects in both established and unknown response pathways of microglia cells - the innate immune cells of the central nervous system, either alone or when communicating with other brain cells. Ultimately, to attain an integrated view of their effects I will establish nutrition trials in mice. LIMBo considers both pro- and anti- inflammatory processes to preliminary validate the action of any promising metabolite in prevention and/or therapeutics. LIMBo provides valuable scientific insights for future implementation of healthy brain diets. My group is in a unique position to address LIMBo objectives due to multidisciplinary expertise in organic synthesis, metabolomics and molecular and cellular biology, together with our previous data on novel neuroactive metabolites. LIMBo also creates far-reaching opportunities by generating knowledge that impacts our fundamental understanding on the diversity of phenolic metabolites and their specific influences in neuroinflammation and potential use as prodrugs.

Keywords: dietary phenolics,phenolics metabolism,brain,neuroinflammation
EVOlutionary Trends in mOrphOLogical diverSity: new comparative tools for high-dimensional data (EVOTOOLS)

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: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-10-01
End date: 2020-09-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

In almost 525 million years, the vertebrates have evolved a vast diversity of morphologies. Yet, understanding how these morphological changes accrue over large (macroevolutionary) time scales is still poorly known. Research into morphological evolution has so far either focused on a handful of today’s successful clades, therefore omitting a major part of the diversity represented in the fossil record, or substituted the complex multi-dimensions of organismal form for simple univariate measures such as body-size. Given that such traits may relate to various aspects of species ecology and life history, it is difficult to identify the environmental, functional, genetic or development factors that drive the evolution of this diversity. Hence, a comprehensive, multivariate characterization of morphology across both fossil and extant species is hugely needed for understanding the evolution of vertebrate diversity but is currently limited by data availability and methodological shortcomings. In this project I will use newly available multivariate, high-quality, datasets of shape (CT and surface scans, 3-D surface morphometrics) for an unprecedented sample of both fossil and extant terrestrial vertebrates and develop new multivariate phylogenetic comparative methods to study the evolution of morphological diversity. Through the EVOTOOLS project, I will provide to the other researchers the phylogenetic comparative toolkit for studying modern, high-dimensional 3-D data and address long-standing questions regarding species evolutionary responses to past environmental and climatic changes. In addition, the project will benefit from the expertise of the NHM staff and a highly respected expert in morphometric studies to characterize the evolution of morphology. The candidate will learn and develop cutting-edge methods, hone his skills for managing data, and strengthen experience with scientific presentations, writing, and publishing.

Keywords: phylogenetic comparative analysis,evolution,geometric morphometrics,vertebrates,fossils,macroevolution,diversification,environment,climate change
Behavioral Foundations of Populism and Polarization (POPULIZATION)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Italy
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-07-31
Duration (months): 66.0
Total project cost (EUR): 1415760.0
EU funding (EUR): 1415760.0
Participants: 1
Project status: SIGNED

Since the Great Recession of 2008, populist parties have scored major electoral successes around Europe. Nonetheless, the populist map of Europe has mixed colors: in some countries, voters rally behind right-wing parties promising closed borders while, in others, resentment towards rising inequality has fuelled left-wing movements; some other countries have been less susceptible to populist rhetoric. Why are populist parties more successful in some places (or times) compared to others? What makes right or left populism more prominent in some countries (or after certain crises)? This project tackles these questions with the tools of behavioral political economy, a blossoming field at the intersection of behavioral economics and political economy, which applies insights from cognitive psychology and methodologies from microeconomics to understand political behavior. I will address two fundamental issues that can shed light on the puzzling pattern of support for populism: the heterogeneity and time (in)stability of preferences and cognitive abilities; and the role of limited attention in shaping preferences and information processing. First, I will focus on the demand side of the market for policies, voters. I will set up and maintain a novel longitudinal study, the European Preferences and Cognition Dataset (EPCD, Project 1), collecting repeated measures of economic preferences, social preferences and cognitive abilities for the same individuals in representative samples of European countries. Second, I will focus on the supply side, politicians. Building on the empirical evidence from the EPCD, I will develop theoretical models to explore how political candidates and elected representatives react to voters’ behavioral factors and unstable preferences (Projects 2-4). The combined output of these projects will greatly improve our understanding of European citizens' political preferences and how they affect economic and political outcomes.

Keywords: political economy,behavioral economics,experimental economics,populism,ideological polarization,economic preferences,social preferences,cognitive abilities,limited attention,unstable preferences,longitudinal studies,electoral competition,strategic communication,information acquisition