Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Artificial Intelligence for Air Quality (IntelliAQ)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2023-09-30
Duration (months): 60.0
Total project cost (EUR): 2498761.0
EU funding (EUR): 2498761.0
Participants: 1
Project status: SIGNED

The IntelliAQ project will develop novel approaches for the analysis and synthesis of global air quality data based on deep neural networks. The foundation of this project is the world’s largest collection of surface air quality measurements, which was recently assembled by the principal investigator and plays a pivotal role in the ongoing first comprehensive Tropospheric Ozone Assessment Report (TOAR). This database will be complemented with data from the world’s leading effort to collect global air pollutant measurements in near realtime and combined with high-resolution geodata, weather information, and satellite retrievals of atmospheric composition in order to characterize individual measurement locations and regional air pollution patterns. State-of-the-art deep learning methods will be applied to this unprecedented dataset in order to 1) fill observation gaps in space and time, 2) provide short-term forecasts of air quality, and 3) assess the quality of air pollutant information from diverse measurements. The combination of diverse data sources is unique, and the project will be the first to apply the full potential of deep neural networks on global air quality data. The achievement of the three IntelliAQ objectives will shift the analysis of global air pollutant observations to a new level and provide a basis for the future development of innovative air quality services with robust scientific underpinning. Due to the heterogeneity of the multivariate data, lack of structure, and generally unknown uncertainty of the input data, the project also poses challenges for existing deep learning methods, and will thus lead to new developments in this field. Direct outcomes of the project will be a substantial improvement of global air quality information including methods to assess the quality of air pollution measurements, and a new data-driven method for forecasting air quality at local scales.

Keywords: geophysical data processing,data fusion
Multi-isotopic tracing of human and animal mobility in lowland Europe (ISOPATH)

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-2017, 2017)
Start date: 2019-01-07
End date: 2021-04-07
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

ISOPATH’s main aim is to unlock patterns of mobility – an essential socio-economic strategy – in non-literary societies of Europe. This study will cover a well-defined and surveyed area – the region of Kuyavia, a typical postglacial landscape of the North European Plain. To explore assumed evolutionary changes a long-time perspective is proposed, comprising ~2500 years from Middle Neolithic to Middle Bronze Age (ca. 3700–1200 cal. BC). The main scientific tool selected for the project is strontium (87Sr/86Sr) isotope analysis of human and cattle tooth enamel, using both TIMS and LA-MC-ICP-MS techniques, and sequential oxygen (δ18O) and carbon (δ13C) stable isotope analysis of cattle tooth enamel. They will be applied to samples of human and animal remains from one of the most densely inhabited and best investigated regions in European prehistory. The specific aims of the project are: (1) reconstruction of cattle herding strategies in lowland areas; (2) understanding human’s journeys, residential mobility and individual life histories. ISOPTAH will address the questions of mobility and migration, fundamental problems of the modern world, to some of the earliest generations of Europeans, following the policy European Year of Cultural Heritage (2018). It will also contribute to the development of the European Research Area (ERA) by enhancing the cooperation and knowledge exchange between the Partner Organisation. A comprehensive training-through-research embedded in this proposal aims at significant enhancing of applicant’s career prospects.

Keywords: archaeology,neolithic,bronze age,north european plain,poland,stable isotopes,isotope geochemistry,radiocarbon dating,humans,animals,mobility,subsistence strategies
Fast and effective diagnostic test for the early detection of residual tumours to prevent cancer recurrence (SenolT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2019-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The main concern in cancer treatment is its high rate of recurrence. It may happen soon or years after treatment and it’s very hard to predict/prevent. Removing residual tumour cells is the best way to avoid recurrence, so identifying new tumour markers is the most pressing demand. We have developed SenolT, an innovative diagnostic test for the early detection and monitoring of senescent cells, which appear after chemotherapy/radiotherapy and are directly associated to cancer recurrence. SenolT detects all kinds of tumours, but we focus on pancreatic and triple negative breast (TNBC) cancers because prognosis is very poor for patients and recurrence is their main cause of mortality. Our customers will be pharmaceutical companies, so we have already contacted several of them in the sector. The initial target market will be TNBC/Pancreatic cancer patients that received chemotherapy/radiotherapy in the EU & USA. Competitors focus on liquid biopsy tests and cancer-related protein markers (expensive & slow to get results). No other companies are working in the detection of senescent cells as a diagnostic method to predict recurrence. Senolytic Therapeutics is a company that develops a new class of medicines by targeting damaged cells. Our mission is to advance our portfolio of therapies to clinical trials and improve the lives of patients and families. Our SenolT proprietary technology will be developed and de-risked through Phase2 Clinical trials and then license the validated technologies to pharma companies, to finalise their development and bring them to the market. By 2025 we expect: A) 15% royalties’ rate on net sales with a unit price to healthcare systems of €800; B) 20% market share (70,000 people) from an expected total of TNBC/pancreatic cancer population of over 352,000 in USA & EU; C) TAM growing up to about €57 m; D) NPV of €27.2 m (10% discount rate) and an IRR of 120%; E) Cumulative EBITDA of about €44 m; F) 20 newly created jobs, mainly in R&D and sales.

Keywords: residual tumors,cancer recurrence,senescence cells,nanoparticles
Integrated Fire Management System (S2IGI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-09-01
End date: 2020-02-29
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The nowadays worldwide wildfire context is defined by extreme fire behaviour characterised by rapid fire spread, intense burning, and unpredictable shifts causing enormous socio-economic impacts. Problems that faced firefighters are: unreliable early-time fire detection tools; unpredictability of fire ignition and unpredictable behavior of fire. S2IGI is a end-to-end Decision Support System (DSS), that aims to support actions in the three main phases of fire management -1. forest fire prevention and mitigation, 2. event management and 3. post-fire recovery. S2IGI through satellite images, in-situ ancillary data and weather numerical predictions, assures timely and reliable fire forecast information. The principal S2IGI target market are public administrations responsible for fire monitoring, prevention, management and damage mitigation; privates as insurance companies and financial entities are also potential customers. S2IGI was developed by Nurjana Technologies in collaboration with CNR-IBIMET the Aerospace Engineering School of the Sapienza University of Rome (SIA). Nurjana Technologies provides expertises in systems development, real time applications/simulations and programs management for Defense, Aerospace and Space market through a Customer Integrated Project Team approach. The objective of the present project is to prove the commercial potential of the S2IGI system in Europe and worldwide, enhance its growth potential and favors private investment opportunities. 30% of the project cost will be financed by the company own capital. The revenue model is based on annually recurring revenue, which favors customer loyalty and service scalability. S2IGI is distributed as a Software as Service (SaaS). The feasibility assessment will be carried on EU (Mediterranean, Balcanic and Northern) and worldwide countries with the highest fire risk as USA, Canada, Australia and Russia. The expected turnover in 4 years from S2IGI sales is about € 5 M. and a 40% of market share

Keywords: wildfire management,simulations,modeling,earth observation,copernicus,remote sensing,forest fires,weather forecasting,early time fire detection,fire front propagation,civil protection
Collective Approach of Research and Innovation for Sustainable Development in Highland (HIGHLANDS.3)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Austria,Spain,Austria,Germany,Spain,Italy,Argentina,Algeria,Ethiopia,Italy,Austria,Greece,Switzerland,Norway,Greece,Poland,Romania,China,Colombia,Tanzania, United Republic of,Norway,Romania,Slovenia,Slovenia,France,France,France,France,France,France,Portugal,Nepal,Peru,Montenegro,United Kingdom,United Kingdom,Portugal,Cabo Verde,Morocco,Brazil,United Kingdom,Malawi,Viet Nam
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2019, 2019)
Start date: 2020-01-01
End date: 2025-08-31
Duration (months): 68.0
Total project cost (EUR): 2484000.0
EU funding (EUR): 2484000.0
Participants: 47
Project status: SIGNED

The HIGHLANDS’ goal is to contribute to Inclusive Sustainable Development in Highlands (ISDH) through collective and impact-driven Research & Innovation (R&I), based on capacity building, sharing of local-global knowledge, experience, and tools. It will drive a co-innovation process through secondments and research and innovative sessions (R&IS) involving public/private and non-academic partners, to build a shared vision of ISDH, enhance the capacities of researchers, managers, users, policymakers, thus bridging the gap between research and development. Our activities will be organized in 5 integrated work packages (WP): Coordination & management (WP1); Methodology & capacity building for ISDH (WP2); Analysis, comparison and modelling of ISDH (WP3); Building a multi-actor ISDH Decision-Support Platform (DSP) (WP4); Communication, Dissemination & Exploitation of results (WP5). HIGHLANDS is supported by a network of 43 institutions including 31 partners from Europe (~35% non-academic), and skilled and motivated female and male researchers and local stakeholders. The work plan will run 8 successive R&IS (5 in Europe, 3 outside) to promote the exchange among participants as a foundation for innovation. Each R&IS will build upon collective learning principles and a holistic systemic approach, exposing participants to a wide range of world views that will encourage experimentation with practice. Each R&IS will focus on a particular aspect of sustainable highland development and will include collective learning, collaborative research, and capacity-building on data collection/analysis, modeling. To complement the R&IS, long-term secondments will be implemented for researchers and practitioners to deeply train and work together on specific issues identified by the consortium. Collected data on ISDHs will be stored in an online collaborative and interactive decision-support platform that will then be transferred to existing mountain networks.

Keywords: research and innovation,inclusive sustainable development,local to global scale,collective and,transdisciplinary approach,end users integration,knowledge sharing,decision support,platform
Fabricating Twitter: Social media narratives, political dissidence, and false information in Iran (FIonPT)

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: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-01
End date: 2023-09-30
Duration (months): 24.0
Total project cost (EUR): 186167.04
EU funding (EUR): 186167.04
Participants: 1
Project status: SIGNED

This project, 1) explores the networks, processes and mechanisms of production and usage of false information (e.g., fake news, misinformation) on Iranian Twittersphere (Persian Twitter), and 2) investigates the ways in which the Iranian state employs false information to dismantle Twitter narratives and underpin its hegemonic discourse. Despite the importance of Twitter in Iran, we do not yet know much about the production and dissemination of false information on Persian Twitter. Furthermore, there are significant gaps in our understanding of the ways that the state uses false information for deterring Twitter narratives. Based on Hannah Arendt’s philosophical thoughts on speech and storytelling, this study addresses these gaps by investigating Persian Twitter in two recent big events in Iran: Nationwide protests in November 2019, and shooting the Ukrainian passenger flight in January 2020 by Iranian military forces. Having collected two tweet corpora during these cases, I will use a variety of methods (specifically a combination of social network analysis, ethnographic content analysis, and social media critical discourse study) to achieve a distant and close reading of tweets. In this phase, I will investigate users’ generic storytelling practices, state’s intervening strategies by disseminating false information, and finally, the nodal points where users and the state struggle to make their narratives hegemonic. This project contributes to the studies of social media in repressing citizens by focusing on the role of dissemination of false information. It also enhances our understanding of Twitter communication during sociopolitical happenings in a semi-authoritarian, and relatively understudied context: Iran.

Keywords: social media,political activism,social network analysis,misinformation,fake news
DMC grouting tube system (GroutTube)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Denmark
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-07-01
End date: 2016-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The cost of installation of a typical offshore wind farm is approximately 40% to 50% more than that of an onshore wind farm and one of the main cost components is the underwater foundation. Thus, foundations installation, together with O&M costs, have been identified as interrelated R&D priorities for driving down offshore levelised cost of energy (LCOE) over the next 15 years. The SME behind the DMC GroutTube project, Drechsler Marine Consult (DMC), aims to pursue this major market opportunity by bringing its innovative equipment/concept – DMC GroutTube - for offshore grouting of multi-pile foundations of wind turbines, to commercial maturity through the testing, demonstration and certification of this new grouting system. The novel technology holds a range off clear advantages compared to the traditional grouting method used today. All these benefits provide an estimated grouting cost reduction of 68% (228k€ and 304k€ saved per each tripod and jacket foundations installed, respectively), representing a 3.8% LCOE reduction, per offshore wind turbine installed and doubling the number of foundations grouted per day. These saving represent a major step forward to achieve the goal of 5-11% reductions in LCOE that were set for 2015, which were not yet achieved. Overall, this project opens not only an important economic opportunity for DMC – expecting over €20 million profits, 5 years post-project – but will ultimately lead to a lower overall life cycle costs of offshore wind turbines, as well as reduced environmental impact of installation activities. Therefore, DMC GroutTube will directly contribute to low-cost, low-carbon electricity supply, thus directly addressing this important axis in EU energy strategy.

Keywords: offshore wind energy,installation costs,underwater grouting,offshore wind turbine foundations
A cybersecurity situational awareness and information sharing solution for local public administrations based on advanced big data analysis (CS-AWARE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Improve cyber security
Action type: Innovation actions
Countries involved: Austria,Germany,Italy,Ireland,Italy,Switzerland,Greece,Greece,Finland,Netherlands,Denmark,United Kingdom
Call: Cyber Security for SMEs, local public administration and Individuals (H2020-DS-SC7-2016, 2016)
Start date: 2017-09-01
End date: 2020-08-31
Duration (months): 36.0
Total project cost (EUR): 4648362.5
EU funding (EUR): 3728603.75
Participants: 16
Project status: CLOSED

Cybersecurity is one of today's most challenging security problems for commercial companies, NGOs, governmental institutions as well as individuals. Reaching beyond the technology focused boundaries of classical information technology (IT) security, cybersecurity includes organizational and behavioural aspects of IT systems and also needs to comply to the currently actively developing legal and regulatory framework for cybersecurity. For example, the European Union recently passed the Network and Information Security (NIS) directive that obliges member states to get in line with the EU strategy. While large corporations might have the resources to follow those developments and bring their IT infrastructure and services in line with the requirements, the burden for smaller organizations like local public administration will be substantial and the required resources might not be available. New and innovative solutions that will help local public administration to ease the burden of being in line with cybersecurity requirements are needed. For example, cooperation and coordination is one of the major aspects of the NIS and EU cybersecurity strategy. An enabling technology for cooperation and coordination is cyber situational awareness and information sharing of cyber incidents. In this project we propose a cybersecurity situational awareness solution for local public administrations that, based on an analysis of the context provides automatic incident detection and visualization, and enables information exchange with relevant national and EU level NIS authorities like CERTs. Advanced features like system self-healing based on the situational awareness technologies, and multi-lingual semantics support to account for language barriers in the EU context, are part of the solution.

Keywords: cyber situational awareness,cybersecurity information exchange,system self healing,multi lingual semantics support,complex decision making,system and dependency analysis
EUTOPIA - Transformation of Research and Innovation (EUTOPIA-TRAIN)

Framework: Horizon 2020 — Science with and for Society
Action type: Coordination and support actions
Countries involved: Spain,Belgium,Slovenia,Sweden,France,United Kingdom
Call: Support for the Research and Innovation Dimension of European Universities (Part I) (H2020-IBA-SwafS-Support-1-2020, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 6
Project status: SIGNED

EUTOPIA-TRAIN is an ambitious research initiative launched by the EUTOPIA Alliance, a network of six universities that has been awarded an Erasmus+ ‘European Universities’ pilot project. It brings together Goeteborgs Universitet, Vrije Universiteit Brussel, CY Cergy Paris Université, Univerza v Ljubljani, Universitat Pompeu Fabra and University of Warwick, in fostering the emergence of a challenge-driven knowledge-creation community and capitalizing on their joint potential to promote innovation and societal impact. EUTOPIA-TRAIN aims to extend its challenge-led educational model to the development of its research and innovation (R&I) activities and tackle two main challenges: (1) to integrate pan-EUTOPIA research and innovation communities and (2) to open up EUTOPIA research communities and structures to society, business, students and policy-makers. Three cross-cutting objectives will be targeted: • Developing R&I Synergies and Delivering a joint Research Strategy • Mutualizing Resources and Tools • Defining a shared R&I Policy. These objectives will drive the activities in six key areas: • Developing a strategy for delivering the EUTOPIA R&I agenda and sharing knowledge with stakeholders • Developing a cross-institution innovation strategy and supporting engagement with business • Mainstreaming Open Science and engaging with citizens and society • Developing a joint Human Resources strategy, and supporting the skill development and mobility of researchers • Setting up a EUTOPIA grants, legal and innovation office • Setting up joint research governance and management structures. Combining top-down and bottom-up approaches, the initiative will support the institutional transformation of the EUTOPIA Alliance in synergy with its education dimension. It will also build up EUTOPIA research capacity in both human and technical resources, disseminate and co-create policies for European Universities and contribute to the development of the EU R&I performance.

Keywords: european universities,research,innovation,institutional transformation,open science,human capital,mobility,infrastructure,global challenges,stakeholder,public engagement,international