Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Qualitative Jump in Customer Experience: Omnichannel Impact of Distributional Semantics (SentiSquareCX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Czechia
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-06-01
End date: 2019-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Understanding customer voice is fundamental in building products, services and customer facing processes. Although companies have abundance of data, they still lack insight. According to Gartner, fewer than 10% of companies have a 360° customer view, and only 5% are able to use it to systemically grow their businesses. The reason is that listening to customers has been difficult and technologies available either arduous to use, non-scalable or providing skewed interpretation of the data collected. To meet the needs of data intensive industries and deliver cost-effective NLP, we offer our AI-based, self-learning solution for any text. It is language agnostic, applicable thus to any language without limitations and even in multi-language datasets. Compared to alternatives, where search content is predefined (pre-tagged), our disruptive technology genuinely reflects the actual meaning of text, not being limited by lexicons or biased by content predefinition. The unique qualitative advantage of our engine stems from our research in Distributional Semantics. This approach enables the vectorial representation of word meaning. Every word is associated with a vector which reflects the contextual (distributional) information across a text dataset. Vectorial representation allows us to quantify the similarity between meanings. On this basis, our algorithms are employed to automatically discover hidden patterns. We realize that most data in organizations is about customer engagement. For this reason, we want to offer the portfolio of products covering the entire multichannel 360° view: providing AI-powered analytics from insights, through inbound communication assistance, to contact center process automation to semantic segmentation. Private and public organizations, with large volumes of daily communication or large base of customers are our main target segments, representing substantial business opportunity across industries and geographies.

Keywords: natural language processing,customer experience,machine learning,artificial intelligence,language technologies,language independent,public opinion,call center,process optimization
Laser Ionization and Spectroscopy of Actinide elements (LISA)

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: Physics
Countries involved: Germany,Germany,Germany,Germany,Germany,Belgium,Finland,Sweden,Switzerland,France,France,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2019-11-01
End date: 2024-09-30
Duration (months): 59.0
Total project cost (EUR): 3994657.56
EU funding (EUR): 3994657.56
Participants: 13
Project status: SIGNED

LISA aims to train the next generation of atomic, nuclear and laser scientists by conducting research to increase our understanding of the atomic and nuclear properties of the chemical elements known as the actinides. Of long-standing interest to the fields of fundamental atomic and nuclear physics, this effort is an essential prerequisite for unravelling the structure of the superheavy elements at the end of Mendeleev’s table. This knowledge is required for the effective production, identification and handling of these elements, and is thus a necessary foundation for our goals of understanding and exploiting the potential for practical applications of the actinides in the fields of medical physics, nuclear applications and environmental monitoring. Our consortium of world-leading experts in radioactive ion beam research and applications, laser spectroscopy, scientific laser technologies (industrial partners) and nuclear and atomic theorists will recruit and train 15 doctoral students. LISA will form a cohesive and symbiotic collaboration for training young scientists in the pursuit of the following research objectives: Develop laser-based actinide ion beam production and purification techniques; develop laser technology; measurement of ionization potentials and electron affinities; extract atomic and nuclear properties from laser spectroscopy studies; enhance the prospects for direct use of the actinide isotopes themselves (theranostic applications), or the application of techniques for their detection (environmental monitoring). LISA will be structured into 7 work packages (WP), separated according to specific types of technical or research challenges, training, communication and management, but highly interlinked to ensure a close interaction between the ESR fellows. This structure is designed to expose all trainees to the breath of activity types across the network and also to foster working relationships that will endure long after the project ends.

Keywords: actinides,tuneable lasers,resonance ionization,laser spectroscopy,ionization potential,electron affinity,nuclear properties,medical radioisotopes,radioecology,radioactive ion beams
Territories as Responsive and Accountable Networks of S3 through new Forms of Open and Responsible decision-Making (TRANSFORM)

Framework: Horizon 2020 — Science with and for Society
Programme: Integrate society in science and innovation issues, policies and activities in order to integrate citizens' interests and values and to increase the quality, relevance, social acceptability and sustainability of research and innovation outcomes in various fields of activity from social innovation to areas such as biotechnology and nanotechnology
Action type: Coordination and support actions
Countries involved: Spain,Italy,Belgium,Norway,Belgium,United States
Call: Supporting the development of territorial Responsible Research and Innovation (H2020-SwafS-2019-1, 2019)
Start date: 2020-01-01
End date: 2022-12-31
Duration (months): 36.0
Total project cost (EUR): 2083187.5
EU funding (EUR): 2083187.5
Participants: 14
Project status: CLOSED

In TRANSFORM three European regions join forces and open up their R&I activities to co-create more responsible approaches to innovation. Lombardy in Italy, Brussels in Belgium and Catalonia in Spain are all leaders in experimenting new pathways for territorial development. TRANSFORM brings them together to design, test and disseminate three sound co-creation methodological frameworks (participatory research agenda setting; design for social innovation; and citizen science). These frameworks will be at the forefront of implementation of Smart Specialisation Strategy (S3). They provide approaches and application areas of responsible and accountable territorial development through new forms of local decision-making. They have also proven beneficial in aligning science, innovation and society, making R&D more responsive to citizens’ needs, concerns and aspirations. The three initiatives will implement a mutual learning process within and beyond Europe, pairing with a parallel co-design exercise in Boston (Massachusetts, US). The work in these three clusters will support and increase co-creation and participatory processes within their R&I ecosystems, both building on existing regional commitments towards transformative opportunities and strengthen the opening effect on the organisations involved. Regional governments involved in TRANSFORM will reflect on, experiment with, learn from and adopt RRI approaches to their R&I policies and actions. Concrete examples of inclusive and sustainable territorial development will be attained, thus providing a set of reliable Policy Recommendations to transforming regional R&I ecosystems towards RRI. TRANSFORM will also be integrated into Strategic Roadmaps for the implementation of RRI within S3, addressed to S3 key players, for maximum benefit across all S3 Thematic Platforms.

Keywords: public engagement,participation,randi agenda setting,citizen science,social innovation,design thinking,co design,co creation,deliberatory forum,territorial development
Reprogramming of the leukemic microenvironment by small extracellular vesicles: from characterization to therapeutic application (EVIL)

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: Life Sciences
Countries involved: Luxembourg
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-12-01
End date: 2024-04-11
Duration (months): 24.0
Total project cost (EUR): 178320.0
EU funding (EUR): 178320.0
Participants: 1
Project status: SIGNED

The proposed program, to be developed by Dr Pablo Morande, aims at investigating interactions between chronic lymphocytic leukemia (CLL) B-cells and their microenvironment, with a focus on small extracellular vesicles (sEV). CLL is the most frequent hematological malignancy of the adult in Europe. Despite recent advances in the standard of care, there is still no curative therapeutic option. Small EV represent an important part of the cell-to-cell communication. They play a key role in promoting cancer by influencing multiple tumor-related functions like cellular proliferation, migration, and metastasis; and can also impair an efficient anti-tumor immune response. In this proposal, Dr Morande will study the mechanisms underlying sEV-induced cellular modifications in vivo in the context CLL, using transgenic murine models and patient samples. The host group has proved experience in the field of sEV in cancer and recently deepened into the role of sEV in leukemia development in vivo. The candidate will dissect the mechanisms enabling sEV uptake in various types of target cells in vivo, and test inhibitors or neutralizing antibodies to block the pro-tumoral role of sEV in leukemic mice. He will study the functional impact of sEV on the immune system leading to tumor evasion, focusing on immune checkpoint ligands, and design bioengineered sEV to test them as immunotherapy in preclinical models. Finally, he will focus on sEV understudied cargoes such as metabolites by investigating their occurrence on sEV and the consequences on metabolic activity of target cells, to reveal new directions for the development of innovative therapies. The development of the present proposal will enable Dr Morande to achieve a broad range of new technical and management skills through a variety of multidisciplinary training programs. This will represent a key step for his final objective to become an independent scientist.

Keywords: small extracellular vesicles,chronic lymphocytic leukemia,immunotherapy,immune checkpoint,cancer metabolism
Literacy in the Old Babylonian City of Nippur (MESOPOLIT)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-02-01
End date: 2022-01-31
Duration (months): 24.0
Total project cost (EUR): 219312.0
EU funding (EUR): 219312.0
Participants: 1
Project status: CLOSED

This project bridges a gap between the sciences and humanities by focusing on the acquisition, use, and development of literacy and knowledge in a distinct and remote population, the ancient city of Nippur (located in Southern Iraq in the early 2nd Millennium BCE). It asks, “in this time and place, how and to what extent did education relay the practical knowledge necessary for a professional career?” To answer this question, it will study prose, documentary, and numerical literacy, between male and female professionals from Nippur, the intellectual and ideological capital of early Mesopotamia. To do this, it will examine economic and academic texts originating primarily from Nippur. A key archive that is the basis to my study is currently in the process of being analyzed and published, and this fellowship would allow me to make a unique contribution to this effort. This study will be of use to economic and educational researchers and policy makers as a case study to compare against future endeavors. The applicability of education is an elusive subject in Assyriology (the study of ancient Iraq and its interactions with the greater Near East). No systematic study of the applicability of education exists for the ancient Near East. However, three methodological improvements will be developed with this project to allow such a study. My work at Yale University studying Old Babylonian archival practices, my work at Paris studying errors, mistakes, and rounded values in Old Babylonian mathematics, and my current research in numeric literacy at the Max Planck institute give me the ideal background to undertake this project. This project will be the first of a series of studies on literacy in the ancient world, which will allow for a comparative study of the impact of

Keywords: prose literacy,document literacy,numeric literacy,education,practice,archival studies,mathematical economics
Artificial Intelligence for Large-Scale Computer-Assisted Reasoning (AI4REASON)

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: Czechia
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2020-10-31
Duration (months): 62.0
Total project cost (EUR): 1499500.0
EU funding (EUR): 1499500.0
Participants: 1
Project status: CLOSED

The goal of the AI4REASON project is a breakthrough in what is considered a very hard problem in AI and automation of reasoning, namely the problem of automatically proving theorems in large and complex theories. Such complex formal theories arise in projects aimed at verification of today's advanced mathematics such as the Formal Proof of the Kepler Conjecture (Flyspeck), verification of software and hardware designs such as the seL4 operating system kernel, and verification of other advanced systems and technologies on which today's information society critically depends. It seems extremely complex and unlikely to design an explicitly programmed solution to the problem. However, we have recently demonstrated that the performance of existing approaches can be multiplied by data-driven AI methods that learn reasoning guidance from large proof corpora. The breakthrough will be achieved by developing such novel AI methods. First, we will devise suitable Automated Reasoning and Machine Learning methods that learn reasoning knowledge and steer the reasoning processes at various levels of granularity. Second, we will combine them into autonomous self-improving AI systems that interleave deduction and learning in positive feedback loops. Third, we will develop approaches that aggregate reasoning knowledge across many formal, semi-formal and informal corpora and deploy the methods as strong automation services for the formal proof community. The expected outcome is our ability to prove automatically at least 50% more theorems in high-assurance projects such as Flyspeck and seL4, bringing a major breakthrough in formal reasoning and verification. As an AI effort, the project offers a unique path to large-scale semantic AI. The formal corpora concentrate centuries of deep human thinking in a computer-understandable form on which deductive and inductive AI can be combined and co-evolved, providing new insights into how humans do mathematics and science.

Keywords: automated reasoning,automated theorem proving,interactive theorem proving,formal mathematics,formal verification,formal libraries,isabelle,mizar,flyspeck,large theory automated reasoning
The Added Value of Seasonal Climate Forecasts for Integrated Risk Management Decisions (SECLI-FIRM)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Fighting and adapting to climate change
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Spain,France,Netherlands,United Kingdom,United Kingdom
Call: Exploiting the added value of climate services (H2020-SC5-2017-OneStageB, 2017)
Start date: 2018-02-01
End date: 2021-10-31
Duration (months): 45.0
Total project cost (EUR): 4638500.0
EU funding (EUR): 4638500.0
Participants: 10
Project status: CLOSED

The central objective of SECLI-FIRM is to demonstrate how the use of improved climate forecasts, out to several months ahead, can add practical and economic value to decision-making processes and outcomes, primarily in the energy sector, but also in the water sector. Specifically for the energy sector, SECLI-CLIM will assess the impact on operational planning and portfolio management, such as hedging and asset optimization, thus enabling quantification of the value-add provided by seasonal forecasts which have been calibrated, evaluated and tailored for each specific application. Improvements in management decisions will ultimately lead to an improved supply-demand balance and therefore to a more efficient energy system, particularly with respect to renewable energy, with corresponding benefits for climate change mitigation. A simple, but effective, methodology will be used to assess value added. A control case will only utilise climatological conditions based on historical averaged values – currently the most common approach – while a test case will also consider individually optimised and tailored state-of-the-art probabilistic seasonal forecasts. This will be done for nine case studies for Europe and South America: recent seasons with anomalous/extreme climate conditions leading to problematic and quantifiable impacts for the energy and/or water industry. Crucially for success, the case studies will be co-designed by industrial and research partners. These case studies will provide the basis for developing pilot climate services for a number of specific applications, allowing evaluation of the added value of near real-time information for decision making. Thus SECLI-FIRM will promote research advances in the optimization of seasonal forecasts for specific applications (e.g. by evaluating both local processes and large-scale teleconnections), as well as promoting the uptake of seasonal forecasts by industry and hence expansion of the climate services market.
Silicon-Carbide-Fiber Pilot-production in Europe (SPE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-07-01
End date: 2021-12-31
Duration (months): 30.0
Total project cost (EUR): 4208750.0
EU funding (EUR): 2500000.0
Participants: 2
Project status: CLOSED

BJS Ceramics GmbH (BJS), Gersthofen, Germany, is Europe’s only Silicon Carbide (SiC) Fiber developer and producer in spe. SiC fibers are the key raw material for SiC Fiber reinforced Silicon Carbide (SiC/SiC) composites that are technically indispensable in turbines for aircraft and energy generation to reach a step-change in energy-efficiency due to their outstanding heat resistance (260°C higher than that of the nickel-based superalloys) and light weight. Only turbines with SiC/ SiC components meet the CO2-, NOx- and noise emission reduction targets established by the Advisory Council for Aviation Research in Europe (ACARE), respectively those established by the Federal Aviation Authority (FAA) in the United States. Aviation contributes significantly to the global emissions of CO2 and NOx thereby aggravating the climate change. If the aviation sector was a country, it would rank 7th in the global ranking! Aviation is growing above average, expected to double by 2035. That is why emissions from aviation need a significant reduction. SiC Fibers respectively SiC/SiC composites are key to achieve these emission reductions, but the global supply chain for SiC fibers is fragile due to SiC fibers, their raw materials and SiC/SiC composites being dual use, and subject to export control. To-date, there are only 2 SiC fiber producers in Japan, 1 SiC fiber plant is under construction in the US in close cooperation with the US Air Force – leaving European turbine producers with a risky or no supply chain. In order for Europe to be independent in SiC Fibers and SiC/SiC composites, it is mandatory to build up a European SiC fiber production. BJS with its patented SiC fiber technology will reach TRL4/5 by end 2018. In 2019, the first European SiC fiber line in Bayreuth will start production. BJS will use this line to scale up its technology to commercial scale. For this scale up, BJS applies for EU funding under the Horizons 2020 / SME Instruments framework.

Keywords: sic fiber,silicon carbide fiber,superalloys,ceramics,composites,turbines,energy,aviation,sme lightweight,heat resistance,aero engines,pilot plant
Community-empowered Sustainable Multi-Vector Energy Islands (RENergetic)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Italy,Italy,Austria,Spain,Belgium,Poland,Belgium,France
Call: Integrated local energy systems (Energy islands) (H2020-LC-SC3-2020-EC-ES-SCC, 2020)
Start date: 2020-11-01
End date: 2024-04-30
Duration (months): 42.0
Total project cost (EUR): 6912382.36
EU funding (EUR): 5959425.75
Participants: 17
Project status: SIGNED

The current EU ‘Clean Energy Package’ aims to place local consumers at the heart of the energy transition. In the context of local energy systems with a weak or non-existing grid connection this implies to give the power of operating a renewable-based energy infrastructure to the local people, energy consumers and producers. Private people and organizations should be involved to establish energy island communities, which are based on self-management and -operation. Simultaneously, those communities will improve social cohesion and technical optimization of all energy vectors existing in the specific energy island. The goal of RENergetic is to integrate and demonstrate solutions that will foster a substantial increase of 1) energy efficiency and 2) the level of renewable energies and energy autarky by integrating three main energy vectors (electricity, heat, waste) in three heterogeneous urban energy islands, with an early involvement of the communities and a long-term economic viability: The New Docks in Ghent, Belgium (energy-aware housing), the Warta Campus in Poznan, Poland (data center heat for a campus) and the Hospital and Research campus in Segrate-Milan, Italy (demand response, including electric vehicles). This transdisciplinary endeavor is supported by innovative activities in all relevant areas. On the technical level, optimization and demand response approaches for cross-sector scenarios are combined in a hierarchical approach. This concept integrates innovative smart control strategies and machine learning based-forecasting methods. A thorough regulation analysis feeds into the creation of novel business models, market strategies and value networks on the economic and legal level. This ensures seamless integration with existing energy management systems and cooperation with external networks. Finally, an iterative approach of empowering the energy island communities with participatory structures will be applied on the social level.

Keywords: energy autarky,community driven energy islands,energy islands socio economic viability