Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
z-Movi cell screening and sorting platform (LUMICKS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 2875000.0
EU funding (EUR): 2012500.0
Participants: 2
Project status: CLOSED

Cell immunotherapy is a breakthrough treatment that uses immune cells to directly attack tumours. It is considered the most exciting development in cancer treatment in years. When it works, patients with life-threatening cancers live far longer or may even be cured. But so far, immunotherapy only works for few types of cancer and few patients, and finding the most effective immune cells is still an immense challenge. LUMICKS is developing z-Movi, the first high-throughput platform that screens and sorts immune cells based on their functionality using non-invasive techniques. z-Movi is a unique and powerful solution that now allows researchers to look at thousands of immune cells and find the right ones within a couple of minutes – a process that would take months with standard technologies. Therefore, z-Movi is the perfect R&D tool to help and speed up the process of bringing new immunotherapy treatments to market. z-Movi is expected to disrupt the immunotherapy market, which is mostly driven by innovation and is expected to reach €100B by 2021. LUMICKS started by teaming-up with immunotherapy leaders such as the Dutch Cancer Institute and Institut Pasteur to develop z-Movi. The first developed z-Movi was already introduced to early adopters. After completing optimisation, a new generation z-Movi will target the immunology research institutes, biotech and pharma markets. Users from those segments have already demonstrated concrete interest in our solution, or are in the process of acquisition. The incremental z-Movi revenue stream from this EIC Accelerator project will be around €20M by 2022 and the net profit margin will double. LUMICKS’ post-EIC ultimate goal is to go beyond the

Keywords: high throughput,screening and sorting,cancer therapy,microfluidics,image analysis
Acquisition of Mathematical Concepts in the Human Brain (NeuroMath)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2023-07-28
Duration (months): 33.0
Total project cost (EUR): 246844.32
EU funding (EUR): 246844.32
Participants: 2
Project status: SIGNED

How do humans learn and manipulate mathematical concepts? In previous research, I have shown that (1) advanced mathematical reflection on concepts encoded for many years does not recruit the brain circuits for language; (2) non-verbal acquisition of geometrical rules call upon a language of thought that is independent of natural spoken language. However, the question remains to understand whether advanced mathematical acquisition in schools, where knowledge is taught verbally, also dispenses with the human ability for language. Building on the expertise I have acquired in functional MRI testing of math experts, with the help of my supervisors, the present project proposes to track the evolution of children and adults' brain activity during learning. To this end, we will expose participants to typical classroom lessons with math-related content. Using fMRI, coupled with traditional general linear model and original inter-subject correlation analyses, we particularly aim to investigate whether (1) similar learning neural mechanisms are at work in adulthood and childhood; (2) language plays a role in mathematical acquisition; (3) understanding dropout correlates with a specific neural marker. A first experiment will aim to identify brain activation that changes with learning of math versus general semantic concepts in adults. It will be conducted in Italy, under the supervision of Pr. Piazza who is a leading expert in the field of math cognition, and mainly uses fMRI to study the plastic changes occurring in the brain during learning in particular of symbols (words, numbers, and math symbols). A second experiment will probe whether the neural patterns observed during adult learning of math laws also apply to children's learning of math laws such as commutativity. It will be conducted in the US, under the supervision of Pr. Spelke who is renowned for her work on the infants’ development especially of math “core knowledge”.

Keywords: mathematical cognition,conceptual learning,functional mri
Solutions to Tackle Energy Poverty (STEP)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Cyprus,Lithuania,Poland,Bulgaria,Slovakia,Belgium,Latvia,Czechia,United Kingdom,United Kingdom,United Kingdom,Portugal,United Kingdom
Call: Mitigating household energy poverty (H2020-LC-SC3-EE-2018, 2018)
Start date: 2019-06-01
End date: 2022-05-31
Duration (months): 36.0
Total project cost (EUR): 1999485.0
EU funding (EUR): 1999485.0
Participants: 14
Project status: CLOSED

Solutions to Tackle Energy Poverty (S.T.E.P) is an ambitious, innovative and replicable model based on proven approaches to addressing energy poverty. STEP, by focussing on countries with the highest incidences of energy poverty, will use existing channels to reach energy poor consumers. Synthesising experience and knowledge of consumer organisations on energy and consumer issues, strengthening partnerships with frontline organisations in daily contact with energy poor consumers, and consolidating best practices from past projects on energy poverty, the project will implement appropriate schemes to alleviate energy poverty in the 9 target countries (Lithuania, Slovakia, Bulgaria, Poland, Latvia, Czech Republic, Portugal, Cyprus and the UK). The general objective of STEP is to alleviate energy poverty by facilitating behavioural change through trusted, tailored advice provided directly to consumers in or at risk of energy poverty and by implementing low-cost energy efficiency solutions in energy poor households. The specific objectives are: - to develop well-functioning and well-trained national networks of advisors from consumer and frontline organisations who are in direct contact with consumers in or at risk of energy poverty - to improve living conditions of consumers in or at risk of energy poverty through behaviour change and implementation of no- or low-cost energy efficiency measures - to create schemes contributing to the alleviation of energy poverty, promote their replication and draw policy recommendations Through low cost energy efficiency measures - such as information campaigns and tips, demonstrations of cost savings, installation of no- and low-cost energy efficiency measures – STEP has the potential to reduce consumer energy bills and provide relief to energy poor households. Furthermore, through the institutionalisation of energy efficiency advice in sustainable consumer networks, we anticipate long term impacts and sustainability of STEP.

Keywords: energy poverty,energy efficiency,behavioural change,vulnerable consumers,energy savings,health impacts,low cost energy measures,frontline workers,consumers,consumer organisations
K-theory, L^2-invariants, manifolds, groups and their interactions (KL2MG-interactions)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Germany
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-11-01
End date: 2020-10-31
Duration (months): 60.0
Total project cost (EUR): 1719583.0
EU funding (EUR): 1719583.0
Participants: 1
Project status: CLOSED

Many milestone results in mathematics emerge from interactions and transfer of techniques and methods between different areas. I want to attack outstanding problems concerning K-theory, L^2-invariants, manifolds and group theory. The time is ripe to use the exciting and profound progress that has been made during the last years in the individual areas to build new bridges, gain new insights, open the door to new applications, and to trigger new innovative activities worldwide lasting beyond the proposed funding period. The starting point are the prominent conjectures of Farrell-Jones on the algebraic K- and L-theory of group rings, of Baum-Connes on the topological K-theory of reduced group C^*-algebras, and of Atiyah on the integrality of L^-Betti numbers. I intend to analyze and establish the Farrell-Jones Conjecture in other settings such as topological cyclic homology of ``group rings'' over the sphere spectrum, algebraic K-theory of Hecke algebras of totally disconnected groups, the topological K-theory of Fr'echet group algebras, and Waldhausen's A-theory of classifying spaces of groups. This has new and far-reaching consequences for automorphism groups of closed aspherical manifolds, the structure of group rings, and representation theory. Recent proofs by the PI of the Farrell-Jones Conjecture for certain classes of groups require input from homotopy theory, geometric group theory, controlled topology and flows on metric spaces, and will be transferred to the new situations. There is also a program towards a proof of the Atiyah Conjecture based on the Farrell-Jones Conjecture and ring theory. Furthermore, I want to attack open problems such as the approximation of L^2-torsion for towers of finite coverings, and the relation of the first L^2-Betti number, the cost and the rank gradient of a finitely generated group. I see a high potential for new striking applications of the Farrell-Jones Conjecture and L^2-techniques to manifolds and groups.

Keywords: manifolds,algebraic k and l theory,l 2 invariants,geometric group theory
Protecting the Democratic Information Space in Europe (PRODEMINFO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Austria,Germany,Germany,United Kingdom
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2430115.0
EU funding (EUR): 1454825.79
Participants: 4
Project status: SIGNED

Democracy is under threat. Populist movements—mainly but not exclusively on the political right—have pitted "the people'' against a presumed "elite'' that is variously constructed to include the judiciary, mainstream media, politicians, experts, and academics. PRODEMINFO builds on the realization that factual inaccuracy can be a political asset rather than a liability: Populist politicians may state obvious falsehoods to signal disregard for the "establishment" norm of honesty, thus identifying themselves as authentic champions of "the people." The rebranding of inaccuracy as authenticity reflects a profound shift in the underlying ontology of truth: Whereas liberal democracy is tied to a realist ontology of truth and a shared body of accepted knowledge, the populist ontology of truth is entirely constructivist and subjective. Understanding, documenting, and then addressing this ontological shift is crucial because it drastically changes the way in which one might confront misinformation—there is little point in correcting falsehoods if facts are not considered a relevant attribute of public discourse. PRODEMINFO will build tools to protect democracy in Europe by drawing a strategic arc from the threat arising from the insurgent populist ontology of truth to the development of protective solutions that can be rolled out at scale online. The objectives of PRODEMINFO are (1) to understand contemporary misinformation in Europe and how it connects to people's tacit ontology of truth; (2) to develop countermessages based on inoculation theory that are sensitive to people's different ontologies (e.g., addressing authenticity rather than accuracy of political speech); and (3) to test such countermessages at scale on social media. PRODEMINFO will pursue these objectives by combining controlled behavioural and cognitive experimentation with "big data'' analyses of social media, simulation modelling of behaviour online, and text modelling of large corpora.

Keywords: misinformation and its correction,populism,democracy
Integrability and Linearization of Dynamical Systems (ILDS)

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: Mathematics
Countries involved: Slovenia
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-07-01
End date: 2018-06-30
Duration (months): 24.0
Total project cost (EUR): 157287.6
EU funding (EUR): 157287.6
Participants: 1
Project status: CLOSED

The proposed research includes the following two main directions: (1) Using methods and tools of algebraic geometry and computational algebra, we study the integrability of the nonlinear dynamical systems. We focus on finding the varieties of integrability of dynamical systems with the emphasize on the higher dimensional systems. Our approaches are based on combining symbolic computations with methods of the theory of integrability of dynamical systems. We then study bifurcations of limit cycles and critical periods arising after perturbations of higher dimensional integrable systems of differential equation. Furthermore, we intend to study the problem of isochronicity (which is equivalent to the problem of linearization). (2) We propose to study the global topological linearization, linearization of integral manifold, smooth linearization with the emphasis on the study of the linearization of non-autonomous systems when the nonlinear term is unbounded or linear system does not possess exponential dichotomy (in critical state). Up to now there are few results concerning the linearization

Keywords: bifurcation,linearization,stability
LipidDrive - Lipidomics cloud computing platform and app (LipidDrive)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Finland
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-09-01
End date: 2018-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

LipidDrive is a breakthrough cloud computing platform and mobile app that allows researchers in the growing field of lipidomics to process, store and share analytical data in a standardized format. Lipidomics is the study of lipid molecules in cells, tissues and biofluids. Due to its low cost, high accuracy and deep insights into cellular function, it has the potential to revolutionize medical science. However it is blocked by a lack of data standardization, processing capacity and collaboration. There are no common protocols for lipidomics data output. 70% of lipidomics data is incomparible, wasting €14 million in research costs annually. Tests require large computer processing power, which most researchers do not possess. There are few online resources for data collaboration. Addressing these challenges, LipidDrive is a cloud-based platform for high-quality lipidomics data analysis. Users upload mass spectrometry data sets, which are processed by algorithms to ensure quality control, and are output according to new data standards. LipidDrive’s cloud computing service processes high-throughput data in any format, replacing desktop-based software with limited capacity. It also provides an online resource of latest research, lipid and biomarker libraries, communication tools and APIs for third-party data utilization. LipidDrive is an unrivaled ICT service developed by Dr Kim Ekroos, a leading lipidomics expert. It will target researchers in universities, pharmaceutical and nutritional industries, and hospitals and clinics through direct sales and partnerships with hardware vendors. Demand and willingness to pay have been confirmed by interest from several large pharmaceutical companies. Lipidomics is expected to follow the growth path of proteomics, which is worth €20 billion annually. LipidDrive will become the most valuable online resource for this fast-emerging industry. The proposed feasibility study will test the technology and prepare for commercialization.

Keywords: cloud computing services,data analysis
Pantograph Active Control System for e-Highways (PACS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Sweden
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Electro-mobility offers a variety of benefits. However, the electrification of road freight transport is not viable by using on-board storage of electricity. The electric roads can solve this problem by providing electrical power to the truck as it is driving through overhead electrical cables. However, the critical problem of electric roads is how to connect the truck, through the pantograph, to the power source. At speeds of 90 km/h, trucks must know the position of the cables 100-150m ahead in order to adjust the pantograph’s position in time to ensure that it correctly engages with the electrical cables. When using current solutions such as Radar, Lidar or Cameras trucks cannot travel at more than 30km/h and even so, often disengage from the cables. This is inefficient, dangerous and can significantly damage the cables. Today there is no technology that can detect and guide a pantograph at high speed and with the accuracy required to effectively charge the truck. At Qamcom Research and Technology AB, we have designed and tested an innovative solution named the Pantograph Active Control System (PACS) that enables fast communication between the energy source and trucks. PACS is composed of two elements: - Communicating devices located on every pole that transmits its position as well the position of the upcoming pole to approaching trucks - A high frequency radar located on top of the truck’s cabin that detects the transponder signals And exhibits the following characteristics: - Modulation of radar signals - Short reading times enabling high speed data transmission - Detection of the geographical position of the data sources PACS has been tested within the e-highway context on an e-highway test strip in Sweden and has shown excellent results. We now what to use the SME instrument to develop the solution alongside truck OEMs and bring PACS to the market. Market estimates predict that by 2024 there will be over 100,000 electric trucks with over 40,000 Km of e-roads

Keywords: electro mobility,road freight transport,electric roads,radar reflector,communication system,radar
PREParE SHIPS - PREdicted Positioning based on Egnss for SHIPS (PREPARE Ships)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Innovation actions
Countries involved: Germany,Sweden,Sweden,Sweden,Norway
Call: EGNSS applications fostering green, safe and smart mobility (H2020-SPACE-EGNSS-2019, 2019)
Start date: 2019-12-01
End date: 2022-05-31
Duration (months): 30.0
Total project cost (EUR): 3461812.5
EU funding (EUR): 2975060.0
Participants: 6
Project status: CLOSED

The objective of the project ‘PREParE SHIPS’ is the development and demonstration of a collaborative resilience navigation solution. It aims to develop and enhance existing software solution by exploiting the distinguished features of Galileo signals as well as combining it with other nautical information on internal as well as external parameters and sensor technologies. The final navigation decision support tool implemented consists of collaborative exchange by ship2ship communication of dynamically predicted future position based on resilient position from Galileo receivers. This will increase safety and efficiency significantly and will be the base of future autonomous operations. Besides the use of vessel on board sensors, ‘PREParE SHIPS’ will also make use of data learning of earlier ship behaviour to exchange near-future positions with vessels in the vicinity and VTS centers (Vessel Traffic Services) to increase safety and improve decision making. In order to define the correct requirements for the PREParE SHIPS combined positioning solution, a collaborative automated vessel application will be defined and developed. The vessel application will rely on the high availability positioning solution and use it to couple its various navigational systems with ship2ship/ ship2shore and aggregate information received from other connected vessels. As there will be a transition period where a lot of vessels are neither connected nor automated, solutions having high impact during low penetration are in focus. ‘PREParE SHIPS’ will implement and demonstrate a fairway geo-fencing with high precision positioning taking into account various data sources (e.g. wind and current) as well as a traffic monitoring and predicted positions so it can allow for safe decisions based on robust data. This means that ‘PREParE SHIPS’ also will implement perception layer sensor fusion that uses information collected historically in similar conditions based on machine learning-hybrid models.

Keywords: egnss,egnss receiver,resilient positioning,exchange of exact predicted positions,ai hybrid learning algorithms,shore based surveillance,geo fencing,galileo e1,dynamic prediction