Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Elucidating the Basal Ganglia Circuits for Reward Expectation (ExpectBG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 1498100.0
EU funding (EUR): 1498100.0
Participants: 1
Project status: SIGNED

Predicting future outcomes is fundamental for adaptive behaviour. Reward-predicting stimuli evoke a state of expectation, which informs motivation, guides attention, and drives preparatory motor behaviour. Reward expectations are crucial for learning since they serve as a comparison to actual outcomes. This comparison allows animals to determine if there is a prediction error (i.e. if an outcome was better or worse than expected). Even though reward expectation signals are observed in many areas of the brain how they are computed remains unknown. The main reason for lack of progress is the absence of a clear understanding of where expectation is generated and which circuits are involved in its computation. Consequently, we are missing the prerequisite knowledge for determining where reward expectation arises, how it is computed, and how expectations are learnt. We hypothesize, based on preliminary data and prior literature, that specific circuits within the basal ganglia are crucial for computing reward expectation. We will utilize cutting edge viral methods, combined with electrophysiological recordings and calcium imaging techniques, to identify the specific circuits and cell-types within the basal ganglia nuclei that compute reward expectation. The causal role these identified circuits play in learning will be determined using cell-type specific manipulations in mice performing reinforcement learning tasks. Finally, we will pioneer approaches to manipulate elements of the basal ganglia circuit, while simultaneously recording from specific cell types in the ventral tegmental area, that are involved in computing reward prediction error. Together, this work will uncover how specific basal ganglia cell types causally contribute to the computation of reward expectation and the calculation of reward prediction error. This will provide a foundation for understating how reward expectation influences adaptive behaviour and is perturbed in psychiatric disease.

Keywords: basal ganglia,lateral habenula,reward expectation,reward prediction error,learning,reward
FUTURISTIC BEEHIVES FOR A SMART METROPOLIS (HIVEOPOLIS)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Germany,Austria,Switzerland,Belgium,Bulgaria,Latvia
Call: FET Proactive: emerging paradigms and communities (H2020-FETPROACT-2018-01, 2018)
Start date: 2019-04-01
End date: 2024-03-31
Duration (months): 60.0
Total project cost (EUR): 6999508.75
EU funding (EUR): 6999508.75
Participants: 8
Project status: SIGNED

Honeybees are important pollinators and support various important ecosystems with their ecological services. Rapid anthropogenic changes cause disruptive disturbances of their habitats which are currently endangering honeybee colonies around the world and incurring an immense financial toll. We aim to help the bees in coping with these adverse environmental factors by establishing technologies in and around a futuristic honeybee colony that allow the colony to perform well in very challenging environments, for example within high-precision farming, including monocultural agriculture involving pesticide, within smart cities of the future and within highly industrialized areas. We aim to make technologies available to honeybees that are naturally inaccessible for them (internet, databases, satellite data, robots...) and to feed information collected by bees through these channels back to humans and other hives. This collection of hives, technologies and humans is called HIVEOPOLIS in our concept. HIVEOPOLIS technology will be integrated in a way that it provides a synergistic added value to the colony, to its owner and to society in general. It will be sustainable from the ecological point of view and also from the intellectual point of view (open software, open hardware, open data, citizen scientists). Our society will benefit from the pollination services and other bee-derived services and products, in a more stable and controllable way, even in harsher ecological conditions of the future. The emphasis on community-forming activities of the project will bring together makers, beekeepers, farmers, programmers, environmentalists, educators and many other stakeholders. Ultimately, HIVEOPOLIS will bring honeybee societies into a new future and will integrate them into the hearts of our own future smart cities.

Keywords: honeybees,biohybrid societies,hive minds,ecosystem services,animals and robots,computational models of self organizing systems
Sustainable Historic Environments hoListic reconstruction through Technological Enhancement and community based Resilience (SHELTER)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Cultural heritage
Action type: Research and Innovation actions
Countries involved: Italy,Spain,Italy,Italy,Spain,Austria,Spain,Italy,Italy,Italy,Spain,Belgium,Türkiye,Croatia,Türkiye,Belgium,France,France,Czechia,Netherlands,Netherlands,United Kingdom
Call: Resilience and sustainable reconstruction of historic areas to cope with climate change and hazard events (H2020-LC-CLA-2018-2, 2018)
Start date: 2019-06-01
End date: 2023-05-31
Duration (months): 48.0
Total project cost (EUR): 5999448.75
EU funding (EUR): 5999448.75
Participants: 25
Project status: SIGNED

Over the last decades, as a consequence of the effects of climate change, cultural heritage has been impacted by an increasing number of climate related hazards, posing new challenges to conservators and heritage managers. SHELTER aims at developing a data driven and community based knowledge framework that will bring together the scientific community and heritage managers with the objective of increasing resilience, reducing vulnerability and promoting better and safer reconstruction in historic areas. The first step to enhance resilience is associated to the improvement in understanding the direct and indirect impacts of climatic and environmental changes and natural hazards on historic sites and buildings, by linking concepts commonly used in disaster risk management and climate change adaptation with cultural heritage management, in order to provide inclusive and informed decision-making. Comprehensive disaster risk management plans need to be drawn up, based on the specific characteristics of cultural heritage and the nature of the hazards within a regional context, taking into account the diverse heritage typologies as well as the specific socioeconomic conditions, since this directly affect the vulnerability of such systems. By a deep understanding of the hazard, the exposure and the vulnerability of the historic area, the local dynamics and the provision of innovative governance and community based models, it is possible to provide useful methodologies, tools and strategies to enhance resilience and secure sustainable reconstruction. Due to the information complexity and the diverse data sources, SHELTER framework will be implemented in multiscale and multisource data driven platform, able to provide the necessary information for planning and adaptive governance. All the developments of the project will be validated in 5 open-labs, representative of main climatic and environmental challenges in Europe and different heritage’s typologies.

Keywords: resilience,sustainable reconstruction,historic areas,natural hazards
Developing Sustainable Energy Investment (SEI) metrics, benchmarks, and assessment tools for the financial sector (SEI Metrics)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Market uptake of energy innovation
Action type: Coordination and support actions
Countries involved: Germany,Germany,Belgium,Switzerland,France,United Kingdom
Call: Improving the financeability and attractiveness of sustainable energy investments (H2020-EE-2014-3-MarketUptake, 2014)
Start date: 2015-03-01
End date: 2018-02-28
Duration (months): 36.0
Total project cost (EUR): 2498253.75
EU funding (EUR): 2349378.75
Participants: 10
Project status: CLOSED

The challenge we aim to address in this project is the lack of investment in sustainable energy and energy-efficient assets from public and private financial institutions. The core approach of the project is to define what a sustainable asset and a sustainable investment portfolio is, and to develop an assessment framework in order to allow financial institution to measure their ‘performance’ and set progress targets vis-à-vis energy-climate goals. This approach builds on the research done over the past few years by various organizations. The project will develop an assessment framework allowing investors to measure and manage their ‘climate performance’ (i.e. their exposure to sustainable energy and energy efficiency investments). This framework will include a translation of climate-energy investment roadmaps into targets for the finance sector, an assessment methodology for assets (e.g. equity shares in companies), and an assessment methodology for investment portfolios. The project will embed the framework into the standard toolbox used by investors to inform their asset allocation strategy, which will include an upgrade of databases used by investors; the integration of Sustainable Energy Investment performance metrics into portfolio optimisation tools, in order to allow investors to optimize climate and financial performance at the same time; and SEI benchmark indices in order to allow asset owners to integrate climate goals in the mandates of asset managers. The project will lead to several publications and a series of workshops with practitioners on Sustainable Energy Investment Metrics including a study on the risk-adjusted returns of SEI strategies; a study dealing with the implications of SEI metrics for financial policy-makers; and various workshops across Europe involving experts and financial institutions, to discuss methodological options, train practitioners on the assessment frameworks, and get feedbacks from road tests.

Keywords: climate finance,energy transition,financial products
Disability Advocacy Research in Europe (DARE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Action type: Marie Skłodowska-Curie actions
Countries involved: Iceland
Call: MSCA Special Needs Allowance (H2020-IBA-MSCA-SNLS-2019, 2019)
Start date: 2019-12-01
End date: 2022-12-31
Duration (months): 37.0
Total project cost (EUR): 25812.0
EU funding (EUR): 25812.0
Participants: 1
Project status: CLOSED

Request of financial support to cover the additional costs that researchers/staff members with disabilities face due to the increased costs of their mobility and/or to ensure necessary assistance by third persons or for adapting their work environment.

Keywords: disability,secondment,special needs,researcher mobility
Photonic Integrated Circuits on InP technology plAtform enaBling low cost metro netwOrks and next generation PONs (PICaboo)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Germany,Spain,Greece,France,Netherlands
Call: Advancing photonics technologies and application driven photonics components and the innovation ecosystem (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-06-30
Duration (months): 42.0
Total project cost (EUR): 4907666.25
EU funding (EUR): 4907666.25
Participants: 6
Project status: SIGNED

Cloud applications, 5G and IoT are pushing modern networks over the edge to satisfy the stringent high capacity and low latency demands. Photonic integration is a key enabling technology to tackle the new challenges and to bring new products and services to the market. PICaboo will develop novel building blocks on the InP PIC platform of TUe and III-V Lab based on the generic foundry model aiming to enhance PIC performances and reduce development costs. It will develop compact models of the building blocks and will compile them in PDK-compatible libraries allowing designers to explore their use in a wide range of applications hence maximizing their exploitation potential. PICaboo PIC demonstrators will transform the optical metro and access networks in terms of speed, footprint, power consumption and cost. The high speed EAM-based transmitters will employ all-optical equalization functionality on-chip which will scale PON line rate to 50/100Gb/s reducing the electronic signal pre-processing required for meeting the 29dB power budget of the optical distribution network within the expected dispersion limit. Both single EAM-MZM and coherent EAM-IQM transmitter PICs will leverage power consumption benefits of 50 and 65% respectively compared to 50G EML solutions and overall cost reduction by almost 20%. The dual polarization coherent receiver PIC employs integrated reset-free phase and polarization control allowing for complex DSP functions to be performed directly at the optical domain. In this case, power consumption reduction of more than 30% with concurrent cost benefits 3.6x will be achieved compared to standard coherent transceivers stemming from the use of simplified direct detection DSPs and low-cost tunable lasers, making PICaboo an attractive technology within the 20-80km DCI range. Exploitation of the PIC demonstrators will be pursued by NOKIA and ADVA. VLC will exploit the developed PDK libraries for a fast uptake of PICaboo building blocks by end-users.

Keywords: eam based transmitter with optical equalization,dp coherent receiver with reset free phase and polarization control,optical dsp,generic pic platform,compact building block libraries,metro
European Research Training to Decipher The Ub Code : identification of potential biomarkers and drug targets (UbiCODE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Germany,Spain,Germany,Germany,Spain,Switzerland,Switzerland,France,France,Netherlands,Netherlands,United Kingdom,United Kingdom,Denmark,United Kingdom,Portugal,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-01-01
End date: 2022-12-31
Duration (months): 60.0
Total project cost (EUR): 3407194.44
EU funding (EUR): 3407194.44
Participants: 20
Project status: CLOSED

Essential role of protein modification by members of the Ubiquitin family: Post-translational modifications (PTM) by members of the Ubiquitin (Ub) family represent an efficient way to regulate protein function at several levels: to change their localisation, activity, their interaction with partner proteins or their stability at the right time and cellular compartment, according to the cell requirements. Defects in this homeostatic equilibrium result in pathologies such as cancer, neurodegeneration, inflammation or multiple infections. For this reason, this research area has become very attractive for fundamental scientists as well as for the pharmaceutical industry aiming to identify potential targets for therapeutic intervention. Ub family members hold a homeostatic equilibrium within the cell and are interconnected in various ways including the regulation of enzymes that control the modified status of target proteins. Interestingly, Ub and Ub-like (UbL) proteins can modify themselves, forming intricate and complex chains. This landscape has recently expanded with the discovery of the formation of heterologous chains among UbL molecules including SUMO or NEDD8 but also other PTMs such as phosphorylation or acetylation. This unsuspected complexity of what is now known as the «Ubiquitin Code», which is an unknown universal language that needs to be deciphered to understand protein homeostasis and its associated pathologies. To decrypt this complex code requires joint collaborative multidisciplinary efforts at all levels, including the use of distinct molecular systems and model organisms and the latest technological developments to explore chemical, biochemical, molecular, pharmacological and clinical aspects of protein modification by members of the Ub family. UbiCODE represents an unprecedented effort to understand this code in an integrated manner.

Keywords: ubiquitin,ubiquitin like,ligases,proteases,drug targets,drug discovery,biomarkers,technology,ubiquitin chains,signalling,dna repair,cancer,infections,neurodegeneration
CANITEST: Proof-Of-Concept of a PCR test designed to identify the dogs carrying the more virulent strains of Capnocytophaga canimorsus (CANITEST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Belgium
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2017-12-01
End date: 2019-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The idea to be taken as proof of concept is drawn from the ERC Advanced grant N°293605-CAPCAN (2012-2016). This grant aimed at understanding the molecular and genetic bases of the dramatic human infections caused by Capnocytophaga canimorsus. One of the questions that we addressed in the frame of CAPCAN is why are there so few cases of human infections while so many dogs carry C. canimorsus? In other words, are all C. canimorsus strains equally dangerous and, if not, could we prevent the disease by detecting the dogs carrying the more dangerous strains? During CAPCAN, among others, we showed that C. canimorsus is endowed with a capsular polysaccharide (CPS) and its assembly pathway was characterized [1]. We also showed that the CPS of 25/25 strains isolated from human infections present a limited variability, with 3 dominant capsular serovars. In contrast, only 4 out of 52 C. canimorsus isolated from dog mouths did belong to these three serovars [2]. This implies that a small minority of dog-hosted C. canimorsus strains are virulent for humans than most strains and that these strains can be identified by capsular serotyping. We also set up a PCR test to achieve this capsular serotyping [2]. The proposal to be taken to proof of concept is to market the PCR test designed to identify the dogs carrying the more virulent strains of C. canimorsus.

Keywords: diagnostics,infectious disease,dogs,capnocytophaga canimorsus
Past, present and future of turbid reefs in the Coral Triangle (4D_REEF)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany,Spain,Australia,Italy,Germany,Germany,Austria,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,Portugal,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-09-01
End date: 2024-02-29
Duration (months): 54.0
Total project cost (EUR): 4039155.72
EU funding (EUR): 4039155.7199999997
Participants: 15
Project status: SIGNED

Coral reefs are the economically most highly valued ecosystems in the world. However, ongoing anthropogenic environmental changes have severely degraded their environments. Analyses of fossil data show that reefs living in so-called turbid habitats, characterized by the influence of terrestrial run-off, played an important role in the origins and maintenance of reef ecosystems. Key questions addressed in 4D-REEF are: 1) What did pristine reefs look like?; 2) Can we predict which areas will most likely support coral reefs in future climate change scenarios?; 3) Is it possible to develop monitoring tools that can be used to compare current and past conditions? We will study examples from the Holocene, prior to significant anthropogenic impact, and the Pliocene, a future greenhouse analogue, and compare them with the present-day reef conditions. These new data will provide the essential baselines for predicting the impact of ongoing global environmental change. 4D-REEF will develop new techniques for data collection, analysis, and visualisation that can be applied in future data-intensive projects in the Earth and Life Sciences. The increasingly complex, large size and 3D nature of datasets calls for the application of innovative techniques to be developed and standardised through cross-sectoral collaborations between Earth and Life scientists and visualisation experts. 4D-REEF will bring together leading groups and experts from a range of research environments, including universities, natural history museums, an applied science institute, SME, and NGO. This will generate a training environment in which the ESRs can make informed decisions to pursue high-level careers in or outside academia, and modify their training programme accordingly. Because of our interdisciplinary approach, the current need to understand biotic response to on-going environmental change, we believe that this is an ideal topic for the training of a cohort of Early Stage Researchers.

Keywords: coral reefs,ecosystem services,environmental change,computer vision,earth system modeling