Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Proton CT reconstruction with a Cone Beam CT prior (protonCBCT)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2019-05-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Proton therapy has become a superioralternative to conventional radiotherapy for certain clinical indications. It potentially allows to deliver high dose to the tumor while sparing healthy surrounding tissue. However, a reduction of treatment uncertainties is required to fully exploit this advantage and precise knowledge of the relative stopping power (RSP) of the patient tissues on the day of treatment is needed to correctly predict the proton range in the treatment planning system (TPS). Modern imaging technology plays a key role here. Developing novel methods to produce volumetric images of the patient while positioned on the treatment couch lies at the heart of this proposal. More specifically, I propose to explore strategies to merge proton computed tomography (pCT) and cone beam CT (CBCT) acquired directly in the treatment room based on which accurate dose-of-the-day calculations can be performed. The idea arises from the complementary advantages of proton and X-ray imaging: The former potentially provides a highly accurate volumetric RSP map while the latter produces images of high spatial resolution. I will develop and implement a "protonCBCT" reconstruction algorithm which uses the CBCT data as prior, compensates for image noise through dedicated regularization methods, and builds the pCT image using state-of-the-art reconstruction techniques. I emphasize the clinical applicability of the project: I will A) consider pCT and CBCT data acquired with clinically available imaging technology, B) propose a treatment work flow to incorporate the new protonCBCT imaging, and C) validate our methods using clinically proven treatment planning software. To my knowledge, a combined pCT/CBCT imaging modality in a clinical context has not been studied yet. It has the potential of providing volumetric images with excellent quality acquired in situ directly prior to a treatment session and could eventually lead to higher treatment quality in proton therapy.

Keywords: computed tomography,proton ct,image guided radiation therapy,proton beam therapy,image processing,tomographic reconstruction
FrameWork methodology for SME innovATion policy SuppOrt within RD tax credits and inceNtives schemes in the EU (WATSON) (WATSON)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Research and Innovation actions
Countries involved: Ireland,Greece,Netherlands,United Kingdom,United Kingdom
Call: Innovating SMEs - segmentation along lifecycle and sectors (analytical research activity) (H2020-INNOSUP-03-07-08-2017, 2017)
Start date: 2017-12-15
End date: 2019-10-14
Duration (months): 22.0
Total project cost (EUR): 999598.75
EU funding (EUR): 999598.75
Participants: 6
Project status: SIGNED

The WATSON project aims to develop and demonstrate a framework methodology for studying the impact of R&D tax credits and incentives on SME-led innovation in Europe. R&D tax credit schemes have been widely implemented as a measure of innovation funding, but most schemes have yet to be subjected to a detailed quantitative study. This impedes their comparability and limits their improvement potential in efficiently funding the wide scope of innovations developed by SMEs, whose inherent differences would benefit from better targeting of the schemes. WATSON will further the study of innovation funding by providing a foundation for detailed study of SME funding through the framework methodology, which will be integrated into the WATSON ICT innovation analytics platform for richer analysis. This tool will identify gaps in funding of European tax credit schemes, and help to better target and improve innovation funding measures. The results of WATSON will thus expand innovation support for SMEs through the provision of instruments better targeted to the funding needs of specific SME segments. The development of the framework will integrate the results of three concurrent studies, which together will paint a picture of SME innovation in Europe, the prevalence and allocation of tax credits for SMEs, and the impact that specific innovating SME segments have on European society. The studies are as follows: - Detailed segmentation of SME market - Study of the impact of R&D tax credits and incentives on the different segments of innovating SMEs - Measurement of impact of SME-led innovation through the development of innovation impact indicators WATSON will set the foundation for innovation benchmarking and will help maximize the impact of innovation funding on European SMEs. The consortium, comprised of 3 SMEs and 3 research institutes, will help shape the future of SME innovation support and thus increase the growth and competitiveness of European R&D performing SMEs.

Keywords: randd tax credits and incentives,sme segmentation,innovation funding,innovation impact,indicators,sme benchmarking,innovation analytics,ict platform
Tethers for sensory mechanotransduction: from molecules to perception (SENSATIONAL TETHERS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-07-01
End date: 2024-06-30
Duration (months): 72.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Touch sensation is built upon the ability of sensory neurons to detect and transduce nanometer scale mechanical displacements. The underlying process has been termed mechanotransduction: the high sensitivity and speed of which is enabled by direct gating (opening) of ion channels by mechanical force. Force detection is functionally compartmentalized and only takes place at the peripheral endings of sensory neurons in vivo. Two molecules are known to be genetically necessary for touch in many sensory neurons, the force gated ion channel PIEZO2 and its modulator STOML3. However, mechanotransduction complexes in all touch receptors absolutely require tethering to the extracellular matrix for function. Tethering is dependent on large extracellular proteins that are sensitive to site-specific proteases. Here we will not only identify the nature of these tethers, but will develop technology to acutely and reversibly abolish tethers and other mechanotransducer components. We will use genome engineering to tag tether and mechanotranduction components in order to visualize and manipulate these proteins at their in vivo sites of action. By engineering de novo cleavage sites for site-specific proteases we will render tethers and ion channels newly sensitive to normally ineffective proteases in the skin. We will engineer mutations into candidate ion channels that dramatically alter biophysical properties to physiologcally “mark” function in vivo. Finally we will develop new behavioural paradigms in mice that allow us to measure touch perception from the forepaw. Psychometric curves for different vibrotactile tasks can then be precisely compared between humans and mice. Furthermore, the impact of acute and reversible manipulation of mechanotransduction on touch perception can be measured. Understanding how molecules assemble to function in a mechanotransduction complex in the skin will open up avenues to develop therapeutic strategies to modulate touch.

Keywords: mechanotransduction,touch,sensory disorders,genome engineering,ion channels
Low Cost Advanced Driver Assistance Systems (ADAS): A cost affordable solution for improved road safety (SMARTCARS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Spain
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-07-01
End date: 2020-03-31
Duration (months): 33.0
Total project cost (EUR): 2844500.0
EU funding (EUR): 1991150.0
Participants: 1
Project status: CLOSED

Road safety is a mayor societal issue with road accidents being main ause of death in industrial countries. According to the World Health Organization, the total number of road traffic deaths remains unacceptably high at 1.24 million per year, occupying the 9th position in the list of top leading causes of death in the world. Advanced driver assistance systems (ADAS) can contribute to a possible solution. ADAS are systems developed to automate, adapt and enhance vehicle systems for safety and better driving. Since 2000, the automotive industry has gradually introduced new ADAS features in vehicles. The progress in this field has been enormous and it has been demonstrated that the most advanced ADAS systems can contribute reducing fatal road accidents by a factor of more than 40%. However, in spite of the huge progress so far, relatively few vehicles on the road today have these systems, and their share of the market is growing at only 2 to 5 percent annually. The major problem preventing ADAS massive implementation is that these systems are only offered to the drivers when purchasing a new vehicle as embedded solutions and the most advanced (securest ADAS) are found only in the high Price vehicle segment. This implies that the improved driving safety is restricted to the high purchasing power consumers and only when replacing their old car, while it is not accessible to the lower-middleclass consumers. The SMARTCARS project is aimed at making the most advanced ADAS systems accessible to everyone. Our technology is not based on an embedded system but on an external hardware solution which can be integrated to any car manufactured after year 2000 by a simple USB connection. SMARTCARS will enable any car owner paying just 550€ and 30€/year for system maintenance, to enjoy the improved driving safety offered by the most advanced ADAS, which nowadays can only be enjoyed when purchasing a new car of the premium-high price segment.

Keywords: vehicle telematics,advanced driver assistance systems
Big Data Models and Intelligent tools for Quality of Life monitoring and participatory empowerment of head and neck cancer survivors (BD4QoL)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Ireland,Italy,Italy,Italy,Italy,Norway,Greece,United Kingdom,United Kingdom
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: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 4985975.0
EU funding (EUR): 4985975.0
Participants: 18
Project status: SIGNED

Head and neck cancer can take away a patient’s “right to feel human,” and its impact on physical appearance, physical functioning, psychological status and general quality of life (QoL) can be devastating. Over the past several decades, the number of patients who survive head and neck cancer (HNC) has increased; this makes lifelong surveillance critical. HNC imposes an extremely high socioeconomic burden on patients during and after cancer compared to other tumors, including costs from treatment-induced morbidities, loss of workforce participation and short-term disability. Current survivorship care plans mostly focus on functional and health conditions of treated patients, whereas socioeconomic determinants of quality of life are often neglected due to difficult data collection. The widespread technologies for social communication and unobtrusive personal monitoring embedded in smartphones and object we commonly use and in our living environments have the potential to unobtrusively collect wealth of indicators of individual QoL. BD4QoL objective is to improve HNC survivor’s Quality of Life through person-centred monitoring and follow-up plan by contribution of artificial intelligence and big data unobtrusively collected from commonly used mobile devices, in combination with multi-source clinical, -omic, socioeconomic data and patients reported outcomes, to profile HNC survivors for pBD4QoL objective is to improve HNC survivor’s Quality of Life through person-centred monitoring and follow-up plan by contribution of artificial intelligence and big data unobtrusively collected from commonly used mobile devices, in combination with multi-source clinical, -omic, socioeconomic data and patients reported outcomes, to profile HNC survivors for personalized monitoring and support. The analysis of QoL indicators collected over time will allow to early detect risks, prevent long-term effects of treatment and inform patients and caregivers for personalized interventions.

Keywords: big data,artificial intelligence,headandneck tumor survivors
Moral Impossibility: Rethinking Choice and Conflict (MIGHT)

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: Czechia
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 144980.64
EU funding (EUR): 144980.64
Participants: 1
Project status: SIGNED

The project aims to offer a theoretical framework for a significant yet under-explored set of phenomena which I will call ‘moral impossibility’ (MI), and to use the theoretical understanding achieved to propose a new approach to intractable moral conflict. MI refers to what – for moral reasons – lies outside the range of possibilities available in one’s choices. While empirical and logical impossibilities are widely accepted, moral ones are far less obvious, yet they shape and delimit, often silently, all choices. These include the possibilities we never consider, those we cannot make sense of (e.g. because too morally abhorrent), and those we consider but cannot bring ourselves to carry out. Neglecting the role of MI leads to crucial misrepresentations of situations of conflict in contemporary philosophy. Using recent case-studies, I propose to analyse intractable moral conflict in terms of moral possibilities that are not shared between the parties, in opposition to the dominant ‘disagreement’ model. The objectives of the research are 1) to construct a conceptual framework of MI, 2) to conduct a normative analysis of its most controversial manifestations, and 3) to use the conceptual and normative frameworks to offer a new understanding of the causes, meaning, and possible resolution, of intractable moral conflict. Each objective corresponds to a work package with a distinct methodology and contributing to a different branch of ethics: moral theory/moral psychology, normative ethics, and applied ethics. The action, proposed at a crucial stage in my research career, will be carried out at the Centre for Ethics as Study in Human Value at the University of Pardubice, where I will be trained in its distinctive research methods, case study analysis, and included in its wide European and global networks, and where I will in turn set up a new Czech-Irish link with my home institution (UCD)'s Centre for Ethics in Public Life.

Keywords: ethics,possibility,impossibility,moral psychology,moral commitment,intractable moral conflict,choice,deliberation,moral theory,applied ethics,normative ethics,action
Demonstrating the unique properties of new nanocellulose composite for automotive applications (AquaComp)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Finland
Call: Small business innovation research for Transport (H2020-SMEINST-2-2015, 2015)
Start date: 2015-10-01
End date: 2017-09-30
Duration (months): 24.0
Total project cost (EUR): 1243125.0
EU funding (EUR): 870187.5
Participants: 1
Project status: CLOSED

Elastopoli has developed nanocellulose composite (AquaComp) with superior (>30% better) mechanical, acoustic and haptic properties and is targeting to replace the existing non-renewable polymer composites in automotive market. In vehicles, the weight-to-performance ratio of mineral- and glass-filled composites is substantially improved with AquaComp. In addition, the ability to control the dampening frequencies of the AquaComp material will help to reduce or tune the noise inside a passenger car to desired levels by tuning the resonance frequencies of the produced parts alongside the improved mechanical properties and lowered weight. The main innovation of Elastopoli is the unique manufacturing method of the nanocomposites. The technology is based on wet mixing of polymers and nanocellulose. This is the only known method capable of introducing high amounts of nanocellulose as reinforcing fibres in the polymer matrix. The wet mixing technology solves the two main problems related to conventional dry mixing technologies. First, drying of nanocellulose is difficult and expensive leading to high composite prices. Second, when nanocellulose is dried during mixing, it loses most of its theoretical strengthening capability. This project targets to perform market replication of AquaComp, already validated in the musical instruments market, into the much larger automotive market. The existing technology must be further scaled-up for industrial scale production so detailed investment calculations and market strategy need to be prepared. This will enable Elastopoli to move from a niche supplier of small amounts of materials to a supplier capable of serving the automotive market at full industrial scale. To put this into perspective, in the automotive industry alone, the potential market size when replacing 10% of mineral- and glass-filled composites is 2 Mton of AquaComp in year 2025. This corresponds to 1200M€ of turnover and 6000 new jobs throughout the value chain.

Keywords: nanocellulose,natural composites,renewable material,light weight construction,acoustics,haptics
TRaIning Behaviours towards Energy efficiency: Play it! (TRIBE)

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: Research and Innovation actions
Countries involved: Austria,Spain,Spain,Türkiye,Sweden,France
Call: New ICT-based solutions for energy efficiency (H2020-EE-2014-2-RIA, 2014)
Start date: 2015-03-01
End date: 2018-02-28
Duration (months): 36.0
Total project cost (EUR): 2000032.5
EU funding (EUR): 2000031.75
Participants: 8
Project status: CLOSED

TRIBE project aims to contribute to a citizens’ behaviour change towards energy efficiency in public buildings, through their engagement in the experience of playing a social game, linked by ICT to real time data collected from 5 pilot buildings hosting around 1.300 regular users (employees, tenants…) and almost 12.000 eventual users (visitors). The targeted average energy savings in the pilots is 24,8% of the current energy consumption. TRIBE project will carry out serious game aims to engage more than 750.000 players by the end of the project, involving users of the targeted pilot facilities and their social networks. As a result of the analysis and developments accomplished using the pilot cases of the TRIBE project, and in addition to the game that will serve to collect all the relevant information, a whole and very broad number of tools and guidelines named TRIBE pack will be set up to be used by public building tenants and owners. The goal is foster the spread of the public building users behaviour change as well as to support the deployment of ICTs for energy efficiency among public building owners and operators. The content of the final TRIBE pack will include; (1) an initial energy audit and diagnosis, (2) the development of a virtual pilot in conformity with the image of their real buildings, (3) an adapted ICT for energy efficiency deployment plan, (4) a funding scheme merging existing instruments with clean web solutions and (5) a user engagement campaign addressing the specific behaviour change challenges.

Keywords: energy efficiency,behavior change,public buildings,icts,serious games,users engagement
The economics of lasting peace: The role of policies and institutions (POLICIES_FOR_PEACE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-08-01
End date: 2022-07-31
Duration (months): 72.0
Total project cost (EUR): 1013720.0
EU funding (EUR): 1013720.0
Participants: 1
Project status: CLOSED

This project aims to study what key institutions and policies are best suited to reduce incentives for engaging in appropriation and armed conflict. For achieving and sustaining peace it is crucial to get the incentives right of all main actors in society. While subproject 1 focuses on short-run policies to stop the fighting by drying out the funding of rebel groups and hence move from war to peace, all the remaining subprojects take a medium- to long-run perspective. Subprojects 2 and 3 focus on the medium-run and assess what mix of policies can help to bridge the short- with the long-run and consolidate peace. In particular, drawing on very fine-grained data from Northern Ireland I will in subproject 2 assess the role and interplay of factors of escalation / containment of violence (“Orange marches”, “peace walls”) and factors driving democratic representation (gerrymandering and power-sharing). In subproject 3 I will perform a network and conflict analysis based on Twitter data for the Arab Spring to assess the role of civil liberties and freedom of speech in consolidating peace. Subprojects 4 to 6 study factors that are crucial for sustaining long-run peace. In subproject 4 I will build a model of how the main political institutions affect the incentives for contesting democracy on the battlefield, focusing on the role of electoral systems, coalition governments, federalism and direct democracy. Subproject 5 studies the role of education for sustaining peace. With the help of a game-theoretic model I will study the various channels through which education affects incentives for conflict, before testing the main predictions empirically. Subproject 6 focuses on another key role of modern states: Health policies. After building a theory of how health affects combat incentives, I will exploit medical innovations to assess the causal impact of health improvement on conflict incentives.

Keywords: conflict,policy,institutions,peace,power sharing,contest,education,health