Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Human Subcortical-Cortical Circuit Dynamics for Remembering the Exceptional (RememberEx)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Spain
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-05-01
End date: 2024-04-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Our memory system is optimised for remembering the exceptional over the mundane. We remember better those events that violate predictions generated by the prevailing context, particularly because of surprise or emotional impact. Understanding how we form and retrieve long-term memories for important or salient events is critical for combating the rapidly growing incidence of pathologies associated with memory dysfunction with huge socio-econonomic burden. Human lesion and non-invasive functional imaging data, motivated by findings from animal models, have identified subcortical structures that are critical for upregulating hippocampal function during salient event memory. However, mechanistic understanding of these processes in humans remains scarce, and requires better experimental approaches such as direct intracranial recordings from, and focal electrical stimulation of, these subcortical structures. This project will characterise human subcortico-cortical neuronal circuit dynamics associated with enhanced episodic memory for salient stimuli by studying direct recordings from human hippocampus, amygdala, nucleus accumbens, ventral midbrain and cortex. Within this framework, I will elucidate the electrophysiological mechanisms underlying amygdala-hippocampal-cortical coupling that lead to better memory for emotional stimuli, extend the hippocampal role in detecting unpredicted stimuli to define its role in orchestrating cortical dynamics in unpredictable contexts, and discover the neuronal response profile of the human mesolimbic dopamine system during salient stimulus encoding. The predicted results, based on my own preliminary data, will offer several conceptual breakthroughs, particularly regarding hippocampal function and the role of dopaminergic ventral midbrain in memory. The knowledge gained from this project is a fundamental requirement for designing therapeutic interventions for patients with memory deficits and other neuropsychiatric disorders.

Keywords: memory,emotion,salience,hippocampus,amygdala,nucleus accumbens,ventral tegmental area,human intracranial recordings,functional mri fmri,magnetoencephalography meg
The Role of Prefrontal Cortex in Functional Brain Organization of Number Processing in Infants (NumBraInf)

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: Life Sciences
Countries involved: Germany,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-11-01
End date: 2024-09-30
Duration (months): 36.0
Total project cost (EUR): 264669.12
EU funding (EUR): 264669.12
Participants: 2
Project status: CLOSED

One of the most critical quests of neuroscientists is the discovery of the origin of human cognition, such as number processing. Previous studies have shown that the ability to process numerical information in adulthood can be traced back to the first months of life. Although the natural number concept is not expressed until childhood it is built upon a nonsymbolic competency (e.g., child A has more toys than child B) that has an evolutionary origin and is available early in life. The human infant brain is the only known system, which is able to master a natural language and symbolic knowledge that represents the external world. Fascinatingly, infants are able to represent and discriminate quantities, solve addition and subtraction problems, calculate probabilities, and understand ordinality. These abilities rely on two core systems: (1) track a small number of individuals and (2) estimate the numerosity of large sets across different sensory modalities. However, the role of supportive cognitive abilities in number processing has been overlooked in both behavioral and neuroimaging studies in infants. Studies in adults, and even more in children, frequently reveal that in addition to the above-mentioned magnitude processing ability – understanding the quantities – different cognitive abilities – e.g., working memory, inhibition, sustained attention – are needed for number processing and arithmetic. These cognitive abilities mainly rely on prefrontal activation. Furthermore, as an index of maturation, myelination in the prefrontal cortex takes place before that in several other brain regions, such as the temporal lobe. Infant studies in other domains have already revealed the involvement of the prefrontal cortex in response to the mother’s voice, and when working memory is elicited. So, in this project, I investigate the role of prefrontal cognitive abilities in number processing in infancy, which might be crucial to explaining human learning.

Keywords: mathematics,numerical cognition,magnitude process,cognitive process,developmental trajectory,infant,prefrontal and parietal cortex,neuroimaging,functional near infrared spectroscopy fnirs
Assessing the economic role of the founder crops prior to the emergence of agriculture (Founders)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: CLOSED

Between 10.7 and 10.2 ka cal. BP a process culminated in southwest Asia that marked the path of human history: the domestication of plants. A group of eight species including wild cereals, pulses and flax become the “founder crops” of Neolithic agriculture, revolutionizing our economy and subsistence for the time to come. But why were these species domesticated and not others? It has often been assumed that these species were staples, and the increasing need to procure more of these daily foods eventually triggered their cultivation, and domestication. However, recent archaeobotanical evidence is starting to challenge this long-held view. Building on eight of the richest and most iconic Natufian hunter-gatherer and Pre-Pottery Neolithic farming sites in SWA (14.6-10.2 ka cal. BP), this project seeks to test the hypothesis that the Neolithic “founder crops” were also staples before the emergence of agriculture. Any deviation from this view will revolutionise our understanding of the factors that triggered the process of plant domestication in SWA. To provide fresh perspectives, the work will focus on one of the most innovative, yet understudied, frontiers of archaeological research: the analyses of charred food remains (CFR). The fellow will receive training on the analyses of CFR, and pioneer an inter-disciplinary approach based on state-of-the-art archaeobotanical and biomolecular techniques, ethnobotany and experimental archaeology. In turn, she will transfer her world-class expertise in hunter-gatherer plant subsistence and archaeobotany and expand the analyses of CFR to periods and regions not previously explored by the host, as well as to foster new collaborations with academic (secondments) and non-academic partners (gastronomic faculties and haute chefs). All together, this project guarantees the two-way transfer of knowledge and represents a solid investment of funds from which the fellow, the host institutions and the European society will largely benefit.

Keywords: archaeobotany,plant domestication,southwest asia,epipaleolithic,neolithic,food,plant subsistence
Unified Theory of Efficient Optimization and Estimation (UTOPEST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-03-01
End date: 2024-02-29
Duration (months): 60.0
Total project cost (EUR): 1993320.0
EU funding (EUR): 1993320.0
Participants: 1
Project status: SIGNED

The goal of this project is to make progress toward a unified theory of efficient optimization and estimation. In many computing applications, especially machine learning, optimization and estimation problems play an increasingly important role. For that reason, a large research effort is devoted to developing and understanding the limitations of efficient algorithms for these problems. For many of these problems, achieving the best known provable guarantees required the use of algorithms that are tailored to problem specifics. In recent years, the PI’s research with collaborators has shown that for many optimization problems, the conceptually simple sum-of-squares meta-algorithm, despite not being tailored to problem specifics, can match and often significantly outperform previous efficient algorithms in terms of provable guarantees. This project aims to better understand the capabilities and limitations of this meta-algorithm, especially for estimation problems, which have only recently begun to be studied in this light. In this way, the project will establish new algorithmic guarantees for basic optimization and estimation problems even in the face of non-convexity and adversarial outliers. In the same way, the project will shed light on the limitations of efficient algorithms for basic average-case problems like planted clique and stochastic block models. The project also aims to transfer the obtained theoretical insights into practical algorithms building on recent works by the PI and collaborators. Toward this goal the project will develop new algorithms with close to linear running times that match the guarantees of the best known polynomial-time algorithms. In order to assess their practicality, the project will perform systematic empirical evaluations of these algorithms.

Keywords: computational complexity,optimization,linear programming,semidefinite programming
Turning space-related ideas into viable businesses and promoting opportunities for entrepreneurs coming from space and non-space sectors. (Astropreneurs)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Coordination and support actions
Countries involved: Spain,Germany,Austria,Belgium,France,France,Czechia,United Kingdom,Portugal
Call: Technology transfer and business generators (H2020-COMPET-2017, 2017)
Start date: 2018-01-01
End date: 2020-12-31
Duration (months): 36.0
Total project cost (EUR): 1999689.5
EU funding (EUR): 1999689.5
Participants: 10
Project status: CLOSED

Astropreneurs: turning space-related ideas into viable businesses and promoting opportunities for entrepreneurs coming from space and non-space sectors. We will support entrepreneurs, startups and SMEs, coming from space and non-space sectors, to create viable business cases and have faster markets approaches by mentoring them on businesses and technical needs, helping them to access private and public funding, but also to overcome the financial, administrative and networking barriers that are now preventing them from more success in the commercial phases. Astropreneurs consortium is solid and sustainable, even at its constitution level. All partners, led by Instituto Pedro Nunes – Portugal, are spread across Europe and represent different types of stakeholders: Verhaert (BE), Brimatech Services GmbH (AT), Science and Technology Facilities Council – STFC (UK), Aerospace Valley (FR), Centrum für Satellitennavigation Hessen – CESAH (DE), CzechInvest (UK), and Knowledge Innovation Market – KIM (SP). The complementarity of skills and expertise gathered in the CSA, aligned with the unmatched geographical reach is a powerful differentiating characteristic of the consortium, together with the direct participation of the ESA BIC Network & ESA Brokers Network.

Keywords: space,space solutions,startups,non space sectors,space based applications,entrepreneurs,downstream applications,business incubation centres
Development of a Decision Support System for increasing the Resilience of Transportation Infrastructure based on combined use of terrestrial and airborne sensors and advanced modelling tools (PANOPTIS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Greece,Greece,Finland,Belgium,Greece,France,France,Netherlands,United States,United Kingdom,United Kingdom
Call: Resilience to extreme (natural and man-made) events (H2020-MG-2017-Two-Stages, 2017)
Start date: 2018-06-01
End date: 2022-05-31
Duration (months): 48.0
Total project cost (EUR): 5138925.11
EU funding (EUR): 4990800.0
Participants: 17
Project status: CLOSED

PANOPTIS aims at increasing the resilience of the road infrastructures and ensuring reliable network availability under unfavourable conditions, such as extreme weather, landslides, and earthquakes. Our main target is to combine downscaled climate change scenarios (applied to road infrastructures) with simulation tools (structural/geotechnical) and actual data (from existing and novel sensors), so as to provide the operators with an integrated tool able to support more effective management of their infrastructures at planning, maintenance and operation level. Towards this, PANOPTIS aims to: - use high resolution modelling data for the determination and the assessment of the climatic risk of the selected transport infrastructures and associated expected damages; - use existing SHM data (from accelerometers, strain gauges etc.) with new types of sensor-generated data (computer vision) to feed the structural/geotechnical simulator; - utilize tailored weather forecasts (combining seamlessly all available data sources) for specific hot-spots, providing early warnings with corresponding impact assessment in real time; - develop improved multi-temporal, multi-sensor UAV- and satellite-based observations with robust spectral analysis, computer vision and machine learning-based damage diagnostic for diverse transport infrastructures; - design and implement a Holistic Resilience Assessment Platform environment as an innovative planning tool that will permit a quantitative resilience assessment through an end-to-end simulation environment, running “what-if” impact/risk/resilience assessment scenarios. The effects of adaptation measures can be investigated by changing the hazard, exposure and vulnerability input parameters; - design and implement a Common Operational Picture, including an enhanced visualisation interface and an Incident Management System. The PANOPTIS integrated platform (and its sub-modules) will be validated in two real case studies in Spain and in Greece.

Keywords: strategic and operational decision support system,resilience of,road,transport infrastructure,identification of climate risk hot spots,quantitative impact,vulnerability and resilience assessment
Field data analytics cloud platform using drone-photogrammetry and computer vision algorithms for construction infrastructure planning, execution and delivery (Datumate)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Large construction projects are difficult to manage with many different stakeholders involved and multiple sub-tasks and activities to be completed. As such, the management of these projects are unable to accurately keep track of the progress of each section and the budget and time can run significantly over. Many projects have a deadline and these delays can result in projects not being completed or failing before completion. Budgets can run out and cause suppliers to withhold materials or services until being paid, extenuating the problems experienced with the over complex supply chains. This has caused many infrastructure projects to be heavily delayed before construction is completed, leaving a wasted business opportunity. To prevent this fundamental problem, better management through improved data analytics for construction companies is required. DatuBIM is an infrastructure software-as-a-service field data analytics cloud platform for construction infrastructure projects, which utilises a drone equipped with imaging and photogrammetry software for a solution that completely aligns a project’s time and budget, through advanced photogrammetry and computer vision algorithms. The solution utilises and expands on our drone-photogrammetry solution already developed for manual construction site surveying and inspections. The analytical platform includes it as part of the process and develop it into an end-to-end solution for improved infrastructure field info. We have received $11M from investments and funding, with a total revenue of $700K in 2017, and annual balance sheet total of less than $2M. We reside in Israel and are part of a Deutsche Bahn accelerator. Currently we have 17 employees, with specialities in all areas necessary to reach commercialisation. The proposed work in Phase 1 of the SME instrument fits into the overall plan to reach market by contributing the financial resources needed for a fast, sound & wider deployment of the solution.

Keywords: project management,construction infrastructure projects,management system,drone
Ionometallurgy of primary sources for an enhanced raw materials recovery (ION4RAW)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Spain,Spain,Spain,Belgium,Norway,France,France,United Kingdom,United Kingdom,Peru,United Kingdom
Call: New technologies for the enhanced recovery of by-products (H2020-SC5-2018-2, 2018)
Start date: 2019-06-01
End date: 2023-11-30
Duration (months): 54.0
Total project cost (EUR): 5684450.0
EU funding (EUR): 5684450.0
Participants: 15
Project status: SIGNED

The Ion4Raw project proposes an energy-, material- and cost-efficient new mineral processing technology to recover by-products from primary sources by means of innovative Deep Eutectic Solvent (DES) ionic liquids and advanced electrorecovery as an only step. A joint recovery of by-products from primary sources which belong to the Cu-Ag-Au group is proposed. Most of the targeted by-products elements are Critical Raw Materials as bismuth (Bi), germanium (Ge), indium (In), cobalt (Co), platinum (Pt) and antimony (Sb). Accompanying major product metals, e.g. copper (Cu), silver (Ag) and gold (Au), may also be recovered by this process. The flexibility of the process (to be demonstrated to TRL 5 through a prototype) increases its market penetration potential as a sound systemic solution. The technical feasibility of this concept is supported by the TRL 2-3. From this starting point, the Ion4Raw project aims to reach TRL 5 by implementing a process prototype at TECNALIA (TEC) facilities. Furthermore, to produce a sound systemic solution, comprehensive by-product potential mapping will be carried out to link the Ion4Raw process with suitable sources. Finally, Ion4Raw project has a very promising business potential since it will allow mining and mineral processing companies to fully exploit by-product potential by recovering them at their own facilities. This will contribute to unlocking the full potential of Europe’s inner wealth by converting new and currently unexploited resources into reserves.

Keywords: by product recovery,primary sources,raw materials,critical raw materials,ionometallurgy,ionic liquids,deep eutectic solvents
Climate change and European aquatic RESources (CERES)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Ireland,Germany,Spain,Italy,Germany,Türkiye,Poland,Türkiye,Poland,Sweden,Norway,Greece,Romania,France,Netherlands,Netherlands,Netherlands,Denmark,United Kingdom,United Kingdom,United Kingdom,Portugal,United Kingdom,Portugal,United Kingdom
Call: Forecasting and anticipating effects of climate change on fisheries and aquaculture (H2020-BG-2015-2, 2015)
Start date: 2016-03-01
End date: 2020-02-29
Duration (months): 48.0
Total project cost (EUR): 5586851.25
EU funding (EUR): 5586851.25
Participants: 27
Project status: CLOSED

CERES advances a cause-and-effect understanding of how future climate change will influence Europe’s most important fish and shellfish populations, their habitats, and the economic activities dependent on these species. CERES will involve and closely cooperate with industry and policy stakeholders to define policy, environment, social, technological, law and environmental climate change scenarios to be tested. This four-year project will: 1. Provide regionally relevant short-, medium- and long-term future, high resolution projections of key environmental variables for European marine and freshwater ecosystems; 2. Integrate the resulting knowledge on changes in productivity, biology and ecology of wild and cultured animals (including key indirect / food web interactions), and ‘scale up’ to consequences for shellfish and fish populations, assemblages as well as their ecosystems and economic sectors; 3. Utilize innovative risk-assessment methodologies that encompass drivers of change, threats to fishery and aquaculture resources, expert knowledge, barriers to adaptation and likely consequences if mitigation measures are not put in place; 4. Anticipate responses and assist in the adaptation of aquatic food production industries to underlying biophysical changes, including developing new operating procedures, early warning methods, infrastructures, location choice, and markets; 5. Create short-, medium- and long-term projections tools for the industry fisheries as well as policy makers to more effectively promote blue growth of aquaculture and fisheries in different regions; 6. Consider market-level responses to changes (both positive and negative) in commodity availability as a result of climate change; 7. Formulate viable autonomous adaptation strategies within the industries and for policy to circumvent/prevent perceived risks or to access future opportunities; 8. Effectively communicate these findings and tools to potential end-users and relevant stakeholders.

Keywords: climate,economy,fisheries,aquaculture,marine,inland,policy,adaptation