Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Multi-instrument analysis of Rosetta data – Establishing a new paradigm for cometary activity (MiARD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Switzerland,France,Netherlands,United Kingdom,United Kingdom
Call: Scientific exploitation of astrophysics, comets, and planetary data (H2020-COMPET-2015, 2015)
Start date: 2016-03-01
End date: 2018-08-31
Duration (months): 30.0
Total project cost (EUR): 1659064.5
EU funding (EUR): 984437.5
Participants: 9
Project status: CLOSED

The MiARD project will use a wide range of data sets from the Rosetta mission (including the Philae lander) to refine the 3D topography of specific areas of comet 67P/Churyumov-Gerasimenko, to study the activity and changes caused by subliming volatiles as the comet nears the Sun, to make inferences about the nature of the top 10 cm of the surface of the comet, to assess whether the landing site on the comet is representative of the entire comet, and to create an improved outgassing model. The new knowledge will be used to improve models of cometary orbits and dust generation in order to allow better hazard assessment. A strong emphasis will be placed upon public communication activities, making full use of the visual nature of the data products to be produced by the project.
Digital Campaigning and Electoral Democracy (DiCED)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: United Kingdom,United Kingdom,United Kingdom
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 2499394.0
EU funding (EUR): 1366715.0
Participants: 3
Project status: SIGNED

Overview: This project will set a new agenda and direction for the study of political campaigns. It will examine whether and how new digital technologies are transforming election campaigns and citizen behaviour in new and established democracies. More specifically, it will assess claims that democracies are now entering a new data-driven era of political campaigning that is profoundly reconfiguring how campaigns’ are run, who runs them and their implications for the quality of voter decision-making, the vibrancy of political parties and ultimately, the future of representative democracy. It will do so in three main stages: (1) First, it will define what data-driven campaigning is and critically assess whether it forms new and distinct era of electioneering in conceptual and historical terms? In particular, it will argue that the two key traits of this new mode of campaigning are the increased individualization or micro-targeting of party messages and the automated use of misinformation to mobilize and persuade voters. (2) Based on this definition it will map the ‘supply’ of the new mode of campaigning across new and older democracies by designing an innovative new index to compare use of data-driven techniques by parties. Where is it most commonly seen and why are some parties and countries more likely to promote its growth? (3) Finally, it will assess the impact of these new methods on key political actors and assess the consequences for the longer term future of liberal democracy. Does use of these techniques help counter recent declines in voter turnout by identifying under-mobilized groups? Or, do they ensure parties focus on the already engaged, bypassing those that are harder to reach? Can data-driven campaigning improve citizen choices by giving them the information on the issues they primarily care about or does it help to increase disinformation and even manipulation of voter choices?

Keywords: digital campaigns,data driven,big data,elections,machine learning,artificial intelligence,fake news,voting,political behaviour,polarisation,knowledge gap
Joint European Research Infrastructure of Coastal Observatories - Design Study (JERICO-DS)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Research and Innovation actions
Countries involved: Estonia,Ireland,Spain,Germany,Germany,Spain,Italy,Italy,Belgium,Sweden,Norway,Norway,Finland,Greece,Croatia,France,France,Netherlands,Netherlands,Denmark,Portugal
Call: Design Studies (H2020-INFRADEV-2019-3, 2019)
Start date: 2020-10-01
End date: 2024-01-31
Duration (months): 40.0
Total project cost (EUR): 2555531.25
EU funding (EUR): 2555531.25
Participants: 24
Project status: SIGNED

Exerted pressures on the ocean and more particularly on the coastal and shelf seas increasingly disturb increasingly disturb coastal regions and ecosystems, and will strongly impact our future. To improve the understanding of underlying processes, the series of EU-funded JERICO (Joint European Research Infrastructure of Coastal Observatories) projects have consisted, since 2007, in continuously improving observations in European coastal marine areas where most of the world population lives, with the objective to build a pan-European Research Infrastructure (RI) providing high-quality marine data, expertise, services, facilities and observation systems. The data produced in this long-term framework are multidisciplinary, standardized, quality-controlled, sustained, interoperable, and free for access and use. However, to better serve the scientific community and address societal and policy needs, JERICO has to progress towards a structured operational European RI supported by the EU Member States (and associated members) and the EC, and endorsed as a high-value RI at EU level as part of the ESFRI roadmap. JERICO-DS will thus analyze the needs and propose a design for a state-of-the-art, fit-for-purpose, visionary and sustainable observational European RI providing expertise and high-quality data on European coastal and shelf seas, supporting world-class research, high-impact innovation, and visibility of European excellence worldwide. JERICO-DS will conceptually design the entire picture of the JERICO RI, covering both hardware and software components, and including cutting edge technologies from the sensor level to the information and service distribution to users, hence contributing to the Smart Ocean. JERICO-DS will build on nations’ will and involvement to co-construct the JERICO RI, from the scientific and technical design to the business plan and governance strategy, supporting future engagement during the ESFRI process.

Keywords: coastal observation,research infrastructure,sustainability,scientific excellence,governance,strategy,design,esfri,high impact services
ENDObronchial microWAVE Ablation for the minimally invasive treatment of lung cancer (ENDOWAVE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Ireland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-11-01
End date: 2020-02-29
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Lung cancer is the most common cause of cancer deaths in the EU and worldwide with more than 0.4M people diagnosed each year. It has a dismal 5 year survival rate of just 18% and worldwide someone dies of lung cancer every 30 seconds. The impact of the disease on public health is substantial with > 6M hospital admissions in Europe each year (>€18 billion in economic costs). Surgery has been shown to provide a curative solution, but only 20-30% of patients can undergo surgery due to co-morbidities. ENDOWAVE have developed a pioneering device, designed to destroy the targeted tumour in a single, minimally invasive intervention. The patented technology uses a flexible catheter system, which can be navigated through the patient’s airway to deliver targeted microwave heating to the tumour. This will enable physicians provide a curative treatment that can be delivered in an outpatient setting, improving patient outcomes and reducing costs to healthcare system. The global market opportunity for lung cancer exceeds €3.6 billion. This SME Phase 1 Instrument funding will enable ENDOWAVE to complete detailed feasibility and business planning activities that will provide a platform for commercialisation of the technology. This will enable ENDOWAVE to enter the market, where we forecast revenues of €60 million by Year 5 based on conservative market penetration forecasts. This project will lead to job generation within ENDOWAVE and the associated supply chain. Ultimately, ENDOWAVE seeks to improve outcomes for lung cancer patients by providing a curative treatment, which can be delivered in a single minimally invasive procedure.

Keywords: microwave,ablation
Modulation of cortical circuits and predictive neural coding by serotonin (5HTCircuits)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Portugal
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2016-01-01
End date: 2021-12-31
Duration (months): 72.0
Total project cost (EUR): 2486074.0
EU funding (EUR): 2486074.0
Participants: 1
Project status: CLOSED

Serotonin (5-HT) is a central neuromodulator and a major target of therapeutic psychoactive drugs, but relatively little is known about how it modulates information processing in neural circuits. The theory of predictive coding postulates that the brain combines raw bottom-up sensory information with top-down information from internal models to make perceptual inferences about the world. We hypothesize, based on preliminary data and prior literature, that a role of 5-HT in this process is to report prediction errors and promote the suppression and weakening of erroneous internal models. We propose that it does this by inhibiting top-down relative to bottom-up cortical information flow. To test this hypothesis, we propose a set of experiments in mice performing olfactory perceptual tasks. Our specific aims are: (1) We will test whether 5-HT neurons encode sensory prediction errors. (2) We will test their causal role in using predictive cues to guide perceptual decisions. (3) We will characterize how 5-HT influences the encoding of sensory information by neuronal populations in the olfactory cortex and identify the underlying circuitry. (4) Finally, we will map the effects of 5-HT across the whole brain and use this information to target further causal manipulations to specific 5-HT projections. We accomplish these aims using state-of-the-art optogenetic, electrophysiological and imaging techniques (including 9.4T small-animal functional magnetic resonance imaging) as well as psychophysical tasks amenable to quantitative analysis and computational theory. Together, these experiments will tackle multiple facets of an important general computational question, bringing to bear an array of cutting-edge technologies to address with unprecedented mechanistic detail how 5-HT impacts neural coding and perceptual decision-making.
Motivating Motor Learning: The Role of Reward, Punishment and Dopamine (MotMotLearn)

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: United Kingdom
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-10-01
End date: 2021-03-31
Duration (months): 66.0
Total project cost (EUR): 1497885.0
EU funding (EUR): 1497885.0
Participants: 1
Project status: CLOSED

Motor learning (the ability of the brain to learn and update how an action is executed) is a fundamental process which influences many aspects of our lives such as learning to walk during childhood; the day-to-day behavioural adjustments required as an adult or in healthy ageing; and the rehabilitation process following an illness or injury. Despite the impact to society, it has proved extremely difficult to develop interventions that significantly enhance human motor learning. Therefore, devising protocols which optimise motor learning is a state-of-the-art research question that promises to deliver scientific, clinical and societal impact.Seeking reward and avoiding punishment are powerful factors in motivating humans to alter behaviour during cognition-based learning (selecting which action to perform), with sensitivity to reward and punishment being biased by the availability of dopamine in the brain. Intriguingly, reward and punishment are also known to affect generic motor learning (deciding how an action is executed) tasks which involve multiple underlying mechanisms. However to establish their potential for optimizing motor learning, we must understand how explicit reward- and punishment-based motivational feedback impact motor learning systems with unique computational and anatomical features (use-dependent/model-free/model-based). Using an unprecedented combination of behavioural analysis, computational modelling, genetics and pharmacology, MotMotLearn will provide the first systems-based account of how reward, punishment and dopamine influence motor learning. This novel approach will enable MotMotLearn to develop theoretically-grounded protocols that utilise reward/punishment in conjunction with dopaminergic medication to optimise motor learning in healthy individuals and stroke patients suffering motor impairments. MotMotLearn will have a profound scientific impact in motor learning with applications to development, ageing, rehabilitation and sports.

Keywords: motor system,motor learning,stroke motor rehabilitation,motivation,reward,punishment,dopamine,action execution,motor control
Achieving wider uptake of water-smart solutions (WIDER UPTAKE)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Protection of the environment, sustainable management of natural resources, water , biodiversity and ecosystems
Action type: Innovation actions
Countries involved: Italy,Norway,Norway,Norway,Norway,Czechia,Netherlands,Netherlands,Ghana
Call: Building a water-smart economy and society (H2020-SC5-2019-2, 2019)
Start date: 2020-05-01
End date: 2024-04-30
Duration (months): 48.0
Total project cost (EUR): 12085616.25
EU funding (EUR): 11093336.26
Participants: 19
Project status: SIGNED

The overall objective of WIDER UPTAKE is to co-develop a roadmap for widespread implementation of water smart symbiotic solutions for wastewater reuse and resource recovery, based on the principles of circular economy. WIDER UPTAKE will demonstrate innovative solutions that optimize water reuse, resource recovery and energy utilisation where market utilisation of the recovered resource(s) is achieved through a symbiosis between the utility and industry. The cases will provide applied knowledge on operationalization of the solutions, shared and further co-developed in a community of practice. The demonstrations are: - Reuse of wastewater for urban agriculture, Ghana. - Fertiliser and soil improver by wastewater resource recovery, Norway. - Reuse of wastewater for greening of urban areas, Czech Republic. - Reuse of wastewater for irrigation in agricultural industry, Italy. - Production of new bio-composite material by water resource recovery, Netherlands. WIDER UPTAKE's hypothesis is that the barriers for wider uptake of water-smart solutions are not only technological but also of organizational, regulatory, social and economic character. WIDER UPTAKE will identify and demonstrate common measures for wider uptake through activities on 'Monitoring and control of health and quality risks', 'Circular-economy and efficiency potential', 'Governance and business models for industrial symbiosis' and 'Measuring water smartness and progress towards SDG'. WIDER UPTAKE includes demonstrations of wastewater reuse for agriculture and urban greening, which also reduces the impact of warming from climate change. WIDER UPTAKE also comprises cases with phosphorus recycling, biogas and biochar utilisation, and production of bio-composites for manufacturing materials with resources recovered from the whole water cycle, which demonstrates the upcycling of the resources from wastewater to marketable products.

Keywords: resource recovery,value chain optimisation
Prototyping emerging bio-based products from lignocellulose by zero-waste pathways (PURE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Austria
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2020-03-01
End date: 2022-08-31
Duration (months): 30.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The need: The dwindling fossil resources and their increasing price together with concerns related to greenhouse gas emissions and environmental pollution necessitate an urgent transition to the use of renewable starting materials and the fundamental change of our manufacturing practices to cleaner, more sustainable production routes. The challenge: Existing approaches for bio-based production routes are complex and costly, while oftentimes offering limited or no increase in quality over conventional approaches. Several challenges need to be tackled in order to further unlock the great potential of bio-based production methods. There is a pressing need for (i) simple, zero-waste production routes from raw material to end-product with a minimal number of reaction steps and high-yield; (ii) the discovery of novel, emerging products that are superior to existing ones in terms of properties, performance as well as environmental and health impact. The solution: My ERC Starting Grant (CatASus) has introduced fundamentally novel catalytic methods for the environmentally benign, zero-waste, non-toxic, and cost-efficient production of chemical building blocks that find concrete valorisation potential in a wide array of industries, including pharmaceuticals, food, agriculture and fuels/energy sectors. The proof of concept: Bringing PURE as a sustainable yet cost-effective chemical manufacturing process of valuable bio-based building blocks to the multibillion-euro chemical manufacturing market offers a highly attractive business case. In this PURE ERC PoC, I will explore the commercial viability of lignocellulose as renewable resource for the production of high quality fine chemical building blocks, by performing proof of concept studies: (i) confirming feasibility of upscaling to (pre-)industrial scale and (ii) outlining a solid business strategy that delineates the optimal product-market combination and path towards commercialisation.

Keywords: sustainable,bio based,lignocellulose,surfactant,cleave and couple,non toxic,cost efficient,renewable,waste free,chemical building block,catalyst synthesis,waste product valorisation
Efficient Energy Management for Greener Aviation (ENERGIZE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Netherlands
Call: Model-Based identification and assessment of aircraft electrical and thermal loads architecture management functions (H2020-CS2-CFP03-2016-01, 2016)
Start date: 2017-02-01
End date: 2022-07-31
Duration (months): 66.0
Total project cost (EUR): 940645.0
EU funding (EUR): 940645.0
Participants: 2
Project status: CLOSED

The trend towards More Electric Aircraft with higher integration of different sub-systems into a common energy network requires innovative approaches for the energy management. First, a well-designed energy management saves energy by optimizing power split. Second and more important, it allows by its improved handling of loads to reduce the conservatism of the architectural design and hence weight and emissions. Therefore, energy management functions are a key enabling technology that needs to be available in early architectural design. They shall be of limited complexity in order to be quickly developed and potentially certifiable for on-board implementation. The project Energize will create innovative model-based algorithms tailored to exactly meet these demands. The approach is based on the extensive model-base from DLR and NLR. From here, the vital non-linearities are concentrated into cost functions. The logic of supply and demand is then used to generate model-based algorithms for the energy management. This approach will provide a common solution for the electric and thermal domain while taking the domain-specific aspects into account. The maturity and industry acceptance of this proposal has been demonstrated by preceding research activities. Hence, bringing this methodology up to TRL5 in cooperation with the topic manager, will optimize the design of future aircraft and contribute to Flightpath 2050 goals. Energize’s exploitation plan will improve the competitiveness of the European aviation industry but also ensure that vital methodological know-how reaches the scientific community and other European industry sectors. In addition, the use of model-based assessment and algorithms within aviation shall be facilitated as long-term impact. The Energize consortium, consisting of DLR and NLR, is perfectly suited to cover all demanded skills and aspects of the call. The project duration will be 48 months consuming a total budget of 1243 k€.

Keywords: more electric aircraft,energy management,model based algorithm aircraft systems system modelling thermal system,electric system,flight performance engine performance