Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A Collective Intelligence Platform to Support Cancer Champions (LifeChamps)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Spain,Ireland,Israel,Spain,Belgium,Sweden,Greece,Netherlands,United Kingdom,United Kingdom,Luxembourg,Portugal
Call: Big data and Artificial Intelligence for monitoring health status and quality of life after the cancer treatment (H2020-SC1-DTH-2019, 2019)
Start date: 2019-12-01
End date: 2023-11-30
Duration (months): 48.0
Total project cost (EUR): 4999915.0
EU funding (EUR): 4999915.0
Participants: 17
Project status: SIGNED

The steady increase in life expectancy, mean age and cancer survivorship across the developed countries together with evidence from cancer and geriatrics care research bring forward the urgent need to deal with the “age issue” as a key component of global cancer care strategies. In 2012, an estimated 6.7 million new cases of cancer were diagnosed in adults aged 65 years and older, representing 47.5% of the total number of new cancer cases worldwide while 8% of the world population in that time was aged 65 years and older. On the other side, increasing age and comorbidities are often associated with a discriminant lower use of aggressive cancer therapies, as well as a higher neglection for their preferences in health‐related quality of life (HRQOL) care support. To address the above, LifeChamps delivers a novel, context-aware and large-scale analytics framework capable of delivering multi-dimensional Quality of Life (QOL) support to all the different cancer life champions during and after their treatments. LifeChamps is providing support to middle aged and older (pre-frail and frail) cancer patients, as well as their caregivers and healthcare professionals, with an integrated Big Data-driven solution capable to improve their QOL via a timely and more accurate clinical decision support at the point of care. Its Artificial Intelligence (AI) and analytics engine, running both at the cloud and at the mobile edge, can determine accurately which factors affect the oncological patients’ QOL the most, during and after their treatment. Furthermore, complemented by a health recommender system LifeChamps offers personalized healthcare services (i.e., symptom monitoring, treatment and rehabilitation) to these patients and their caregivers. The LifeChamps platform will be validated in four multi-national pilot use case scenarios aimed at demonstrating its applicability and validity for all the requirements of the SC1-DTH01-2019 Call (prediction, care, advice).

Keywords: cancer,frailty,quality of life,data security and privacy,machine learning,ai based intuitive end user applications,hcp analytical dashboard
GeometRic ANalysis of Dilute PlasmAs (GRANDPA)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-07-01
End date: 2020-06-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The ultimate goal of this Fellowship is to understand the long time behaviour of plasmas governed by the relativistic Vlasov-Maxwell system (RVM). The main difficulty is the hyperbolic nature of Maxwell's equations (the electromagnetic fields propagate at the speed of light): particles that travel close to the speed of light nearly interact with their own fields. It is not currently known whether particles can be accelerated to such speeds, and, if so, whether this necessarily leads to development of singularities. This is a major open problem. My expertise in the analysis of hyperbolic equations and in microlocal analysis, complemented by my host's expertise in kinetic theory will put us in a unique position to make progress on this problem. As an integral part of this Fellowship I will train in kinetic theory, and my host and I will share our mutual networks in Europe and around the world to help us study this major open problem. To this end, I have identified several workpackages with intermediate objectives to facilitate the progression: WP1: TOY MODEL. First I will analyse a toy model of RVM that preserves the hyperbolic nature, yet is simpler to handle. WP2: THE LINEARISED SYSTEM. I will then analyse the linearised RVM system using novel tools from microlocal analysis. WP3: PARTICLE TRAJECTORIES. Returning to the RVM system, I will use the previous results, together with further hyperbolic techniques (such as Strichartz estimates) to improve existing a priori estimates for particle trajectories. I also have robust career development and public outreach agendas, to complement the scientific aspects of this proposal. Combined, all these elements will establish me as a prominent research leader upon my return to the Beijing Institute of Technology, with extensive links throughout Europe.

Keywords: kinetic theory,microlocal analysis,vlasov maxwell
Combinatorial Antibody Synthesis for the Discovery of New Anti-Tumour Immunomodulators (BispecificsThatClick)

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: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-03
End date: 2021-06-02
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Cancer represents one of the major challenges for modern medicine as we still lack tools to selectively target malignant over healthy tissues. The main issues with state of the art anti-cancer treatments lie on their inefficiency and their associated side-effects. Improving this treatments has focused a lot of attention of the scientific community and has led to the development of new strategies. Harnessing our own immune system to fight malignant cells is one of the strategies with promising potential to improve cancer treatments, although challenges still remain. An emerging therapeutic modality to trigger our immune system against carcinogenic tissues are bispecific antibodies (bsAbs). bsAbs are the combination of two antigen binding specificities on a common scaffold. The potential of these constructs to bind to two antigens can be used to simultaneously target cancer cells and the immune cell which will effectively kill it. The problem of bsAbs is their slow and tedious production process, which is responsible for their linear development. Herein we propose a methodology to speed up and improve the efficiency of their production. Our approach will consist in using novel site-specific bioorthogonal ligation reactions to tag monoclonal antibodies (mAbs) with linkers that will serve as substrates for an inverse electron demand Diels Alder condensation. By condensation of different combinations of tagged mAbs a library of bsAbs will be assembled. The immunondulatory properties of the bsAbs will be tested in high throughput using a high content imaging platform. We will be able to select potential bsAbs for anticancer treatment from our extense library which will study in more depth using classic immunology methods to determine their mode of action and their anti tumour efficacy. The acceleration of both the synthesis and identification of relevant bsAbs for anticancer treatments would significantly increase the presence and value of this technology.

Keywords: bispecific antibodies,bioorthogonal,inverse electron diels alder,immunotherapy,immunochemistry
Predictive and adaptative algorithms for Smart cities, HR and Finance Industries (hSAI)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

Braincities wants to build a human Supportive Artificial Intelligence (hSAI) with judging and empathy capabilities by using the latest advances in Deep Machine Learning technologies. The idea is to create a context-aware recommendation system to scan, analyse and match patterns, supporting Human Resources, Smart Cities and finance industries with better guidance powered by AI. This design is based on the concepts of Actionable AI, Steady States Analytics, Natural Language Processing and AI-based time series operating over a Decentralised Blockchain Big Data storage system. Braincities has been supported by sponsors, partners and start-up accelerators that are conscious that a great amount of research is needed to plot, construct, test and implement the architecture, logic and training methods of the several Artificial Neural Network algorithms needed to such complex system. To accomplish this, the hSAI has been split into several independent smart layers in order to fulfil specific demands or ‘use cases’ for different allied companies. With Porsche (Stuttgart), the idea is to build a career planning tool adapted for personal planning and based on employees CVs and personal statements. With Careaway we will mine patients habits and emotional steady states to help doctors perform better diagnosis and monitor the overall evolution of the patient. An alliance with Bita Index (Frankfurt) is made to build an AI model ‘able to predict the stock market behaviour’ using stocks and social media data. The research and innovation required for each individual application, and the integration of them into the final system, is expected to be done by an experienced researcher with diverse skills who at the same time should be open to perform several advanced trainings to improve and diversify his competences.

Keywords: human resources,finance,fintech,smart cities,research,development and innovation
Pilot line production of transceiver modules for the next generation of smart RF power applications (SMARTEC)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Spain,Italy,Greece,Belgium,France
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2019)
Start date: 2019-09-01
End date: 2023-09-30
Duration (months): 49.0
Total project cost (EUR): 3648270.0
EU funding (EUR): 2799289.0
Participants: 5
Project status: SIGNED

SMARTEC proposes to raise a unique Power-RF nanoelectronics innovation from TRL6 to TRL8, that will radically transform future transceiver RF-power modules (TRX) and to produce them through a dedicated pilot line. These novel TRX of enhanced performance, smaller size and lower manufacturing cost will be core components of new products, addressing several segments of the RF-power market. SMARTEC paves the way to its stakeholders to access new markets and/or help them sustain their positioning in their industry rivalry, as well as increase their market shares. Moreover, SMARTEC will create new value propositions to several other markets (airliners, airports, air & sea vessel manufacturers, tour operators, etc.), as well as to several customer & social groups (passengers, tourists, ecologists & government bodies). The proposed pilot line will fill a gap in the European landscape of power RF manufactures and help European firms using power RF front ends compete global players. Industry faces 2 challenges: (A) In general, upcoming power RF front end markets (e.g. commercial radars, backhaul, SATCOM) demand more and more higher power levels, higher frequencies, the ability to sustain power-ups, and all at smaller size and lower cost. (B) Two specific “RF-Power Systems-based industry”, those of Avionics and Maritime, are about to face an obligatory adaption to new or updated strict EU regulations (RECAT EU3 & COLREGS), regarding, Airport and maritime Safety. The proposed coplanar monolithic GaN MMICs and RF MEMS (only available by TRT and FORTH) product is addressing simultaneously all aforementioned industry problems, while all other competing technologies (commercially available or not) offer partial solutions. Furthermore, the simplified SMARTEC fabrication process alleviates back-end production steps thus lowering cost by 25% which for mass applications (e.g. 5G) can prove the key winning factor.

Keywords: rf mems,pilot line,high power,large scale production,electronic,mmic,packaging
Large scale interactive multi-touch displays (iBoard)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: United Kingdom
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2014-11-01
End date: 2015-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

There is currently an established worldwide market worth annually more than $2 billion for interactive whiteboards. These whiteboards are mainly used in schools and other educational establishments. The end-users expect that a new generation of interactive whiteboards will support multi-touch finger input, yet current touch sensing solutions, while adding thousands of dollars to the cost of a large display, are striving to meet the technical specification for multi-touch interfaces. Our technology will disrupt this existing market. Alterix has invented a novel, highly efficient and low-cost electronic solution for measuring touch inputs. By achieving a hundred-fold increase in the measurement speed compared to the touch interfaces commonly used in tablets and mobile phones, our technology scales easily to large displays with diagonal sizes up to 250cm and is compatible with interactive whiteboards and flat-panel TVs. To serve the educational market the cost of interactive transparent TV display overlays must be reduced by replacing the indium – a critical raw material in short supply - which otherwise would be used to build the transparent sensor grid. To achieve this goal Alterix is transferring the inexpensive technology for making laminated ultrafine (nearly invisible) wires developed in the last decade for heating the windscreens of modern cars. It is now of strategic importance for Alterix to study the feasibility of establishing a functional supply chain, preferably within Germany and Portugal, for manufacturing TV display overlays and interactive whiteboards at the affordable cost point, validate possible issues with the manufacturing yields caused by novel aspects of the integration of large area electronics, and to articulate the company’s commercialisation plans. The outcomes of the project will help to establish a pilot production capability and to secure further investment in scaling up our business with possible support from Phase 2 funding.

Keywords: feasibility of establishing a functional supply chain
Wide scale demonstration of Integrated Solutions and business models for European smartGRID (WiseGRID)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Innovation actions
Countries involved: Spain,Germany,Spain,Italy,Italy,Spain,Italy,Belgium,Belgium,Greece,Romania,Belgium,Greece,France,United Kingdom
Call: Demonstration of smart grid, storage and system integration technologies with increasing share of renewables: distribution system (H2020-LCE-2016-SGS, 2016)
Start date: 2016-11-01
End date: 2020-04-30
Duration (months): 42.0
Total project cost (EUR): 17595500.0
EU funding (EUR): 13854247.27
Participants: 24
Project status: CLOSED

WiseGRID has two intertwined and equally important strategic goals: on the one hand, it aims at successfully putting in the market, within a horizon of 24 months after project completion, a set of solutions and technologies which increase the smartness, stability and security of an open, consumer-centric European energy grid, with an enhanced use of storage technologies and a highly increased share of RES. On the other hand, the project intends to have a significant impact in the business and innovation activities of the consortium -with a planned ROI for the partners of less than 30 months after commercialisation of WiseGRID products and services starts- and the European sector at large, contributing to the creation of jobs, the access to new energy services of citizens and public/private organisations, the saving of CO2, and the increase of of RES, among other impacts. The achievement of these strategic goals will involve the four aspects addressed by LCE-02-2016: (a) Demand Response, (b) Smartening the Distribution Grid, (c) Demonstrating Energy Storage Technologies and (d) the Smart Integration of Grid Users from Transport. WiseGRID technologies and solutions will be packed within 9 different products, the impact of which will be demonstrated under real life conditions in 4 large scale demonstrators –in Belgium, Italy, Spain and Greece-. In order to facilitate the assessment of the performance, transferability and scalability of these solutions, the demonstrations will be conducted following 7 high level use cases.

Keywords: citizen empowerment,electric mobility,demand response,energy poverty,cooperatives
Adaptation Futures 2016 (AF16)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Coordination and support actions
Countries involved: Netherlands
Call: H2020-Adhoc-2014-20 (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-07-31
Duration (months): 19.0
Total project cost (EUR): 700000.0
EU funding (EUR): 700000.0
Participants: 1
Project status: CLOSED

In 2016, the European Commission and the Government of the Netherlands will co-host the fourth edition of the International Climate Change Adaptation Conference, called ‘Adaptation Futures 2016’, with the initiators of the conference series, the Global Programme of Research on Vulnerability, Impacts and Adaptation (PROVIA). The overall objective of this action is to support the preparation and implementation of the 'Adaptation Futures 2016’ conference. The specific objectives are to contribute to the coordination of the conference planning, the overall and local organisation of the programme and venue, the participation of delegates from economically developed and less/least economically developed countries, and the organisation of an industrial exhibition. This proposal relates to the work programme's topic number 8 'International Conference 'Adaptation Futures' – The Netherlands, May 2016' in chapter 'Other Actions' of the revised HORIZON 2020 WORK PROGRAMME 2014 – 2015 for 'Climate action, environment, resource efficiency and raw materials', adopted on 10 December 2013 with a revised version for the 2015 topics (European Commission Decision C (2014)4995 of 22 July 2014). As stated in the work programme, The Ministry of Infrastructure and Environment of the Netherlands has been identified as a designated beneficiary of the grant to implement the coordination and support action. The ministry is experienced in organising international conferences of the scope and at the scale of the 'Adaptation Futures 2016' conference, as recently shown by the organisation of the Deltas in Times of Change II conference in Rotterdam in September 2014.

Keywords: climate change adaptation,conference,provia
The evolution of barriers to gene exchange (BARRIERS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Sweden,United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-02-28
Duration (months): 66.0
Total project cost (EUR): 2499926.64
EU funding (EUR): 1524404.76
Participants: 2
Project status: CLOSED

Speciation is a central process in evolution that involves the origin of barriers to gene flow between populations. Species are typically isolated by several barriers and assembly of multiple barriers separating the same populations seems to be critical to the evolution of strong reproductive isolation. Barriers resulting from direct selection can become coincident through a process of coupling while reinforcement can add barrier traits that are not under direct selection. In the presence of gene flow, these processes are opposed by recombination. While recent research using the latest sequencing technologies has provided much increased knowledge of patterns of differentiation and the genetic basis of local adaptation, it has so far added little to understanding of the coupling and reinforcement processes. In this project, I will focus on the accumulation of barriers to gene exchange and the processes underlying increasing reproductive isolation. I will use the power of natural contact zones, combined with novel manipulative experiments, to separate the processes that underlie patterns of differentiation and introgression. The Littorina saxatilis model system allows me to do this with both local replication and a contrast between distinct spatial contexts on a larger geographic scale. I will use modelling to determine how processes interact and to investigate the conditions most likely to promote coupling and reinforcement. Overall, the project will provide major new insights into the speciation process, particularly revealing the requirements for progress towards complete reproductive isolation.

Keywords: speciation,local adaptation