Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Enriched Minimal Expressivism and Higher-Order Concepts (EMEHOC)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-01
End date: 2017-09-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

One (unum), True (verum), and Good (bonum), the Medieval transcendentals, are concepts that philosophers have always kept at the centre of their concern, as has occurred with logical notions such as therefore, epistemic notions such as knowledge and belief, and deontic notions such as ought. And for good reasons. The meaning of these concepts is complex, and language sciences have needed a sophisticated degree of development to be able to cope with this issue. All these notions encode what we now call “higher-order concepts”. The defining characteristic of higher-order concepts is that they are predicative notions that have other predicables (including 0-adic predicables, i.e. propositions) as arguments. Logical constants, quantifiers, and alethic, epistemic, and deontic modalities belong to the general class of high-order concepts. EMEHOC aims at developing a unified and comprehensive treatment of higher-order concepts, Enriched Minimal Expressivism, which benefits from the several insights that philosophers have put forward related to some particular sets of them, and also of the latest linguistic proposals on procedural and non-truth-conditional meaning. EMEHOC will develop the first-ever general theory of higher-order concepts. To date, philosophers and linguists have given some useful insights on them but EMEHOC will be the first to examine their functioning from an interdisciplinary perspective. EMEHOC’S impact will reach any areas of knowledge in which accurate discourse and precise argumentation are essential. This includes ethics and political theory, and in general public and scientific uses of language. EMEHOC will use a collaborative methodology that will contribute to the emergence of new, promising interdisciplinary areas, according to the objectives of the EU Framework Programme for Research and Innovation (Horizon 2020), avoiding duplications and maximizing resources.

Keywords: meaning,higher order concepts,philosophy of language,pragmatism,expressivism,non descriptivism,epistemic modals,deontic operators,analytic philosophy
ENABLING MARITIME DIGITALIZATION BY EXTREME-SCALE ANALYTICS, AI AND DIGITAL TWINS (VesselAI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Finland,Greece,Norway,Norway,Norway,Greece,France,Netherlands,Portugal
Call: Big Data technologies and extreme-scale analytics (H2020-ICT-2020-1, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 5998877.5
EU funding (EUR): 5998877.5
Participants: 13
Project status: SIGNED

Shipping is the lifeblood of global economy, consequently one of the leading sources of greenhouse gases and one of the high-incident domains, due to heavy traffic especially in congested waters, therefore facing escalating pressure for safety, energy efficiency improvement and emissions reduction. Meanwhile, shipping generates extremely large amount of data in every minute, which potential, however, still remains untapped due to the involvement of enormous stakeholders and the sophistication of modern vessel design and operation. To address these challenges, VesselAI aims to develop, validate and demonstrate a unique framework to unlock the potential of extreme-scale data and advanced HPC, AI and Digital Twin technologies, and hence to promote the adoption and application of Big Data-driven innovations and solutions in maritime industry and beyond. By combining Digital Twin technologies and practices, VesselAI can efficiently fuse and assimilate huge amount of data, coming from both observations and simulations, to achieve highly accurate modelling, estimation and optimization of design and operation of ships and fleets under various dynamic conditions in near real time. Their technical enhancements and practical performance improvements are further demonstrated in 4 maritime industry pilots, tackling practical challenges for 1) global vessel traffic monitoring and management, 2) globally optimal ship energy system design, 3) short-sea autonomous shipping and 4) global fleet intelligence. VesselAI brings in a consortium of renowned actors in maritime and ICT domains, providing a perfect mix of high-level expertise in both domains and readily accessibility to huge amount of data for industry-leading research and innovation in the project. Together, VesselAI addresses the challenges of implementing extreme-scale analytics in industries and showcase how AI, cloud computing and HPC can encourage, and enable deeper digitalization in the maritime and wider industries.

Keywords: maritime digitilisation,digital twin,simulations,vessel traffic management,ship energy design,autonomous ships,fleet intelligence,route planning optimisation
Linking biodiversity, ecosystem functions and services in the Great Serengeti-Mara Ecosystem (GSME) - drivers of change, causalities and sustainable management strategies (AfricanBioServices)

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: Research and Innovation actions
Countries involved: Germany,Tanzania, United Republic of,Norway,Netherlands,Denmark,United Kingdom,Kenya
Call: Biodiversity and ecosystem services: drivers of change and causalities (H2020-SC5-2014-two-stage, 2014)
Start date: 2015-06-01
End date: 2019-08-31
Duration (months): 51.0
Total project cost (EUR): 9891768.5
EU funding (EUR): 9891768.5
Participants: 13
Project status: CLOSED

The direct dependence of humans on ecosystem services is by far strongest in developing regions where poverty restricts access to resources. This dependency also makes people in developing countries more sensitive to climate change than their developed counterparts. Increasing human populations deteriorates natural habitat, biodiversity and ecosystems services which spiral into poverty and low human welfare. This calls for innovative solutions that encompass the entire socio-ecological-economic system, as recognized on a global scale in the Millennium Ecosystem Assessment. However, innovative and practical solutions require downscaling to regional levels for identifying concrete sets of drivers of change. For Africa specifically, the interplay of human population growth, land use change, climate change and human well-being is a major challenge. This project focuses on the Serengeti-Maasai Mara Ecosystem and associated agricultural areas, a region in East Africa that encompasses parts of Kenya and Tanzania. The ecosystem is world-famous for key aspects of its biodiversity, such as the migration of 1.3 million wildebeest. This ‘flagship ecosystem’ role will enhance the international interest in the project. In this project, internationally leading researchers from Norway, the Netherlands, Scotland, Denmark and Germany are teaming up with strong local partners in Tanzania and Kenya. The research will be organised in seven interlinked work packages: 1) assemble and integrate the so far separate Kenyan and Tanzanian relevant data on the region; 2) quantify the connections between human population growth, land use change, climate change and biodiversity change; 3) test how biodiversity change leads to changes in key ecosystem services; 4) quantify the dependence of human livelihoods on these ecosystem services. We will implement innovative ways for communication and dissemination of the results of ‘continuous engagement’ by local stakeholders.

Keywords: human population growth,greater serengeti mara ecosystem
EASIVIRAL (EASIVIRAL)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Ireland
Call: Supporting innovative SMEs in the healthcare biotechnology sector (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-12-01
End date: 2021-11-30
Duration (months): 48.0
Total project cost (EUR): 2969000.0
EU funding (EUR): 2969000.0
Participants: 1
Project status: CLOSED

In September 2016 WHO-Europe stated “Europe is at a critical point with HIV. New diagnoses in the European Region recently increased by 76%”. WHO urges “an accelerated people-centered response” based on taking HIV viral-load (VL) testing out of labs and into local clinics where it is most needed at point-of-care (PoC). No such solution exists today. New disruptive innovations are needed to address this. AltraTech Ltd has developed three proven biotechnologies to capture, purify, and detect the HIV virus from a blood sample, in 40 mins, using proven HIV biomarkers. This enables life-saving clinical intervention, immediate prescription and therapy for the patient, and stops further spread of the virus. The three techniques are innovative. Their combination, in a portable battery-operated kit format, is disruptive. It offers the unique combination of portability, robustness, reduced cost, with simultaneous increase in accuracy, combo-detection of Hepatitis and other viruses, and elimination of refrigerated reagents. It will address the above crisis, the HIV-VL PoC market, and has the potential to disrupt the €1B viral clinical diagnostics market and displace RT-PCR diagnostics that have been used in laboratories for two decades. Following a successful SME-Phase-1 feasibility, the technology received a Seal-of-Excellence in Phase-2(PHC-12-2015) – exceeded funding threshold. TRL improvements have been made in 2016, and a new CEO, management structure, and new venture funding significantly enhances AltraTech capacity to commercialise EASIVIRAL and see it reach market acceptance. The outcomes will enable capture a market leading share of > 30% of the €210M PoC HIV-VL market, reach cumulative EBITDA for this product alone of more than €18M by 2024. AltraTech will create 75 new jobs during this time, grow its portfolio of granted patents on its disruptive EASIVIRAL technology, and increase the revenues, jobs, and competitiveness of its manufacturing supply partners
Standard Interface for Robotic Manipulation of Payloads in Future Space Missions (SIROM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Spain,Spain,Belgium,Greece,United Kingdom,United Kingdom
Call: SRC - Space Robotics Technologies (H2020-COMPET-2016, 2016)
Start date: 2016-11-01
End date: 2019-02-28
Duration (months): 28.0
Total project cost (EUR): 3487442.5
EU funding (EUR): 3487442.5
Participants: 11
Project status: CLOSED

The main objective is to develop a standard interface that considers a set of connections that allow coupling of payload to manipulators and payload to other payload. The realization of a modular reconfigurable system depends, among other things, on interfaces, that includes mechanical interfaces connecting the blocks to one other, electrical interface for power transmission, thermal interfaces for heat regulation and interfaces to transmit data throughout the satellite. Multi--‐functional “Intelligent” interface will be considered to interconnect building blocks and also to connect to the satellite with a servicer. The standard interface will require standardization and modularization of the different components in an integrated form (where mechanical, thermal, electrical, data connections are combined) or a separated form. The standard interface shall allow building up large clusters of modules. APMs are considered for demonstration, validation and verification of all properties of the standard interface. An end-effector for a robotic manipulator will be designed according to the layout of the standard interface. The Modular Interface will take into account long duration missions, no logistics support and missions composed of multiple payloads and architectures. Main benefits: - Improve operational capacity - Reduced logistics with common and modular spares - Common maintenance standards - IF architecture flexibility: common infrastructure needed to support the modular design - Mission flexibility (configuration changes) - Standardizes mechanical, data, electrical, thermal Interfaces - Keep existing standards where applicable - Introduce in the design aspects related to interchangeability and interoperability The standard interfaces will allow to develop the SRC end goals. The output of this development will address the Future Low--‐cost EXchangeable/EXpandable/EXtendable SATellite, which targets the demonstration of robotics servicing technology.

Keywords: modular interface,scalable interface,standard interface,payload servicing,orbital scenario,planetary scenario,end effector,robotic manipulation
Development of strategies to eliminate cancer cells from the bone marrow (ELIMINATE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany,Germany
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-02-01
End date: 2024-01-31
Duration (months): 72.0
Total project cost (EUR): 1490825.0
EU funding (EUR): 737450.0
Participants: 2
Project status: SIGNED

The bone marrow (BM) represents the prime location in which cancer cells survive aggressive treatments. This poses a major health challenge because the mortality rate of patients with curable cancer doubles if tumor cells persist in the BM. One unresolved question is why the immune system fails to eradicate cancer cells from this microenvironment even though it represents a lymphatic organ. Surprisingly, despite the ongoing revolution in immune oncology, the regulation and potential therapeutic activation of the immune response in the BM still remains largely unexplored. In this grant application a new line of research is proposed with the overall objective of understanding the cellular and molecular mechanisms, which control anti-cancer immune responses in the BM. The originality of this proposal relates to the hypothesis that innate and adaptive immune cells are suppressed by stroma cells in the BM. Therefore, we will conduct a comprehensive phenotypic and functional profiling of immune and stroma cells in the BM of cancer patients with and without persisting tumor cells. Based on these insights we will develop novel strategies to harness the immune system to eliminate malignant cells from the BM. The ground-breaking nature of the project is that it will shed light on the unappreciated immune microenvironment in the BM. Its specific strength lies in the multidisciplinary design encompassing informative patient cohorts, state-of-the-art mouse models and cutting-edge technologies including Next-Generation-Sequencing as well as innovative drug candidates. Hereby I can build on my internationally recognized expertise in the BM microenvironment field, which has already led to the successful development of a clinical-stage drug. Novel strategies to eliminate malignant cells from the bone marrow are of utmost medical importance because they would increase the cure rate of cancer patients.

Keywords: tumor stroma interactions,bone marrow stroma,minimal residual disease,breast cancer,acute myeloid leukemia,immune oncology
Bottom-up PV module energy yield and integrated reliability model for site-specific design optimization (PVMINDS)

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: Information Science and Engineering
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-02-19
End date: 2020-05-12
Duration (months): 24.0
Total project cost (EUR): 172800.0
EU funding (EUR): 172800.0
Participants: 1
Project status: CLOSED

Photovoltaic (PV) module reliability is a critical factor for energy yield predictability, and reduced PV cost of electricity. Today, there is limited understanding of PV reliability issues under real-field conditions; and none of the state-of-the-art energy yield models can predict their long-term performance considering lifecycle degradation and failure propagation. Ultimate objective of the planned research is to develop the first bottom-up reliability model for selected PV failure/degradation modes, coupled with advanced simulation of real-field stress factors. Broader vision of the Project is to yield a novel design-for-reliability (DfR) protocol for site-specific optimization of PV module concepts. Following a “closed-loop learning” approach, the Project will be implemented in three workpackages (WP). In WP1, analysis of field diagnostic and meteorological data will be performed for selected PV installations and climatic zones, aiming to correlate degradation rates and/or failure occurrences, with site-specific stress factors. WP2 will involve the fabrication of PV samples; which, will undergo novel reliability tests based on insights from WP1, and enable the development of a novel physics/chemical PV reliability models that can be adapted to specific sites and module designs. Then, advanced simulations of PV lifecycle degradation, based on the reliability models coupled to bottom-up energy yield modelling will be developed in WP3. Final results of the project will be a predictive reliability tool and site-specific PV design and qualification guidelines. The project brings together the know-how of the Host, in advanced energy yield modelling and PV module technology innovation and characterization, and the applicant’s experience in PV field diagnostics and reliability; thus, giving a multidisciplinary training by research to the applicant in industrial research environment at an independent research center.

Keywords: photovoltaic modules,reliability model,failure analysis,energy yield simulation,design for reliability
Homotopy Theory of Algebraic Varieties and Wild Ramification (KAPIBARA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Poland
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-06-01
End date: 2025-05-31
Duration (months): 72.0
Total project cost (EUR): 1007500.0
EU funding (EUR): 1007500.0
Participants: 1
Project status: SIGNED

The aim of the proposed research is to study the homotopy theory of algebraic varieties and other algebraically defined geometric objects, especially over fields other than the complex numbers. A noticeable emphasis will be put on fundamental groups and on K(pi, 1) spaces, which serve as building blocks for more complicated objects. The most important source of both motivation and methodology is my recent discovery of the K(pi, 1) property of affine schemes in positive characteristic and its relation to wild ramification phenomena. The central goal is the study of etale homotopy types in positive characteristic, where we hope to use the aforementioned discovery to yield new results beyond the affine case and a better understanding of the fundamental group of affine schemes. The latter goal is closely tied to Grothendieck's anabelian geometry program, which we would like to extend beyond its usual scope of hyperbolic curves. There are two bridges going out of this central point. The first is the analogy between wild ramification and irregular singularities of algebraic integrable connections, which prompts us to translate our results to the latter setting, and to define a wild homotopy type whose fundamental group encodes the category of connections. The second bridge is the theory of perfectoid spaces, allowing one to pass between characteristic p and p-adic geometry, which we plan to use to shed some new light on the homotopy theory of adic spaces. At the same time, we address the related question: when is the universal cover of a p-adic variety a perfectoid space? We expect a connection between this question and the Shafarevich conjecture and varieties with large fundamental group. The last part of the project deals with varieties over the field of formal Laurent series over C, where we want to construct a Betti homotopy realization using logarithmic geometry. The need for such a construction is motivated by certain questions in mirror symmetry.

Keywords: etale topology,etale homotopy,wild ramification,irregular singularities,fundamental group,perfectoid spaces,anabelian geometry