Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Delivering a new, key enabling technology that will drive the development of far-reaching advances in photonics, nanotechnology and advanced manufacturing (ActLight)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

ActLight specializes in the developing cutting-edge photonics sensor technology and licensing the intellectual property (IP), as well as providing supporting services like design and technology advice to customers. Our team consists of experts in the fields of devices, materials, integration process, characterization techniques, circuits design, marketing and business development. IP protection and sales are performed by top experts located in US, Japan, and Switzerland. Our advisory board includes leading industrial and scientific experts. ActLight’s Dynamic Photodiode technology represents a paradigm shift in light sensing. Its deployment will substantially improve the efficiency and accuracy of various light sensing applications such as Time-Of-Flight-based distance measuring and gesture control, heart-rate monitoring, 3D cameras and much more. ActLight operates in diverse markets-smartphones and wearable devices, healthcare, autonomous cars, drones and robotics, and more. We are in initial negotiations to conduct pilot programs with leading semiconductor companies, for the next-generation light sensing components required by their OEM customers. The sensors market is very fragmented. In this phase 1 project, we aim to identify the market verticals which can be reached first, and where we will have a significant advantage with respect to competitors. We need to understand which new applications will be still relevant in 3 years, when we will launch our new technology. We are implementing a product-feedback development loop with target customers currently at the vanguard of their market segments. The advances we are developing on our existing technology will allow it to more easily move into target market verticals that require increasingly smaller and more powerful light sensors. Our largest potential customers and end users require high-performance, low energy consumption sensors for next-generation applications.

Keywords: 3d sensor,lidar,photodiode
International Study on Age-related disparity in Cancer patient survival (ISAC)

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: Life Sciences
Countries involved: New Zealand,United Kingdom,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-07-22
End date: 2021-11-10
Duration (months): 24.0
Total project cost (EUR): 201275.52
EU funding (EUR): 201275.52
Participants: 3
Project status: CLOSED

Cancer patients are increasingly surviving their disease, but disparities in cancer outcomes still persist, and even widen, for some groups of patients. This is the case for older adults as they have not benefitted from the improvements in cancer diagnosis and treatment at the same magnitude as their middle-aged counterparts. Older adults account for the largest proportion of cancer diagnoses, and with the number of diagnoses expected to double in two decades such disparities will result in substantial amount of years of life lost due to unfair age-related disparities in cancer survival. The ISAC project thus aims to investigate the role of comorbidities and other factors in cancer survival disparities among older patients compared with younger patients, which will aid interventions to increase the probability of survival regardless of age. Dr Sophie Pilleron will have the opportunity to be trained at the highest possible level, extending her knowledge in comorbidities and health disparities research in the University of Otago, and her knowledge in colon and lung cancer in the THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD. She will also extend her transferable skills (e.g. grant writing, oral communication, and student supervision), which are necessary for a successful career as an independent researcher. Finally, the results of the ISAC project will be disseminated and communicated to the scientific community, policy makers and the general public through a range of activities. For example, the findings of the project will be disseminated through high-impact publications and presentations at international conferences, and the Fellow will directly present her research to policy makers. She will also target non-specialists through media outlets, social networking services, online videos, or presentations at science festivals in order to facilitate the translation of the findings and their related implications to a non-scientific audience.

Keywords: cancer,survival,older adults,disparity,population based study
Your Data Stories (YDS)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Innovation actions
Countries involved: Ireland,Germany,Ireland,Greece,Greece,Belgium,Netherlands
Call: ICT-enabled open government (H2020-INSO-2014, 2014)
Start date: 2015-02-01
End date: 2018-01-31
Duration (months): 36.0
Total project cost (EUR): 2802188.0
EU funding (EUR): 2469038.0
Participants: 10
Project status: CLOSED

The revolution in information technology over the last years has proven its ability to process huge amounts of data and made evident that big data can change the world. Open Government Data (OGD), from being an obscure possibility just five years ago, is spreading across the globe at a phenomenal rate, delivering the promise to spur innovation, to deliver better services for less money, to improve planning, to increase transparency, and to reduce corruption. In this context, YourDataStories envisions to bring this promise closer to reality, through a highly customisable online platform for data exploitation focused in the financial flows that are critical for transparency, collaboration and participation. Users, ranging from governmental bodies to journalists and to citizens, will be facilitated by powerful and established tools, not only to discover relevant information but also to remix it with diverse and dynamic data sources: YourDataStories acts like an interactive canvas to enable data citizens to (re)write their own data history. YourDataStories brings an innovative solution whose innovation potential spreads across many directions, from leveraging best practices and proven technologies across Europe, to exploiting the social Web for accessing citizens, and to supporting sustainable public services across borders. Building on top of the "Transparency Portal" initiative of the Greek government, YourDataStories can be viewed as a way to showcase and transfer the existing expertise to European level, in an attempt to transform governments and governance in Europe. At the same time, YourDataStories seeks to exploit and embed in this effort the benefits of the social Web, establishing an innovative bidirectional channel between the Social and Semantic Web. Finally, YourDataStories aims to support sustainable services, supported by a marketing ecosystem of applications offering cross-border services of public finance flows across Europe.

Keywords: social web,linked data,transparency and corruption fighting
Sentinels-based Agriculture Information Service Component (SAGRIS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: SME instrument
Countries involved: Lithuania
Call: Engaging SMEs in space research and development (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2018-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The current project will focus on development of an open-source Sentinels-based Agriculture Information Service (SAGRIS) software component integrated into operational open-source Farmos.org agricultural record keeping software powering a commercial FARMIER service (http://www.farmier.com). SAGRIS module will provide FARMIER service (and potentially other open-source projects) with operational monitoring updates on dynamics of solar irradiation and surface temperature, development of grassland and crops biomass, soil and vegetation wetness, vegetation age and stress indications, geo-location and mapping of “problematic” patches, assessment of drainage systems and operational, delivery of status updates. Our service is targeting small-to-medium-size traditional farms offering a low cost complex decision support service with on-line tools for record-keeping and analysis, planning of farming activities, measurements of physical conditions with inexpensive ground sensors, observation and conditioning of crops by satellite imagery and simple solutions for adapt standard hardware for smart-farming practices. FARMIER and SAGRIS open-source projects will offer benefits of freely available modern Earth observation data products to a large number of traditional farms in a simple and affordable, but appealing and practically useful form to support sustainable “smart farming” practices not only with statistical and geo-spatial information, but also best practice examples along with simple and affordable hardware solutions (sensors, extensions, etc.) to increase efficiency and profitability without investing into sophisticated precision farming solutions and raise competitiveness of many sustainable and ecological farms facing global challenges caused by industrial food production, turbulent markets and climate change. The service will be initially distributed in Europe and the US.

Keywords: copernicus,sentinel,satellite,image,agriculture,information,monitoring,open source
Data-driven Modelling in Dynamic Networks (SYSDYNET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-08-31
Duration (months): 72.0
Total project cost (EUR): 2499690.0
EU funding (EUR): 2499690.0
Participants: 1
Project status: CLOSED

Dynamic models play a key role in many branches of science. In engineering they have a paramount role in model-based simulation, monitoring, control and optimization. The accuracy of the models is key to their subsequent use in model-based operations. With the growing spatial complexity of engineering systems, e.g., in power networks, transportation networks and industrial production systems, also referred to as cyber-physical systems of systems, there is a strong need for effective modelling tools for dynamic networks, being considered as interconnected dynamic systems, whose spatial topology may change over time. Data-driven modelling and statistical parameter estimation are established fields for estimating models of dynamical systems on the basis of measurement data from dedicated experiments. The currently available methods, however, are limited to relatively simple structures, as open-loop or closed-loop (controlled) system configurations. In this project I will make the fundamental step towards data-driven modelling (identification) methods for dynamic networks by developing a comprehensive theory with the target to identify local dynamical models as well as the interconnection structure of the network. I will incorporate the selection of sensing and excitation locations, data synchronization, and the optimal accuracy of estimated models in view of their use for distributed control. Solving these problems is by far beyond the current abilities of the existing identification frameworks in the systems and control community. My internationally recognized expertise in the field of system identification and model-based control, together with recent work on dynamic networks, warrants the feasibility of the project. Identification methods for dynamic networks will become essential tools in the high-level future ICT environment for monitoring, control and optimization of these cyber-physical systems of systems, as well as in many other domains of science.

Keywords: system identification
VAriable ResolutIon Algorithms for macroMOLecular Simulation (VARIAMOLS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Italy
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2022-12-31
Duration (months): 60.0
Total project cost (EUR): 1339351.0
EU funding (EUR): 1339351.0
Participants: 1
Project status: CLOSED

Within the broad spectrum of biological soft matter systems, large proteins and protein assemblies occupy a central role. These molecules are extremely versatile: they can catalyze chemical reactions, transport atoms and molecules across the cellular membrane, bind to foreign bodies to be destroyed, or combine into large molecular machines that perform a variety of different tasks. One of the most prominent problems in the computational study of these macromolecules is that the cost of using accurate atomistic models dramatically increases with system size. Simplified, coarse-grained representations offer an elegant and effective alternative to high-resolution models, and enable the simulation of large systems over extended time scales; the other side of the coin, however, is that the missing chemical detail often represents an insurmountable limitation to the realistic reproduction of the properties of interest. The main goal of the VARIAMOLS project is to develop and apply novel computer-aided methods for the study of large molecular assemblies and their dynamics, thus bridging the existing gap between computational cost and chemical accuracy. Specifically, the research will unfold along two intertwined lines: 1) the development of non-uniform resolution models of the system, which optimize the balance between detail and efficiency; and 2) the study of dynamics-mediated properties of protein assemblies. The working philosophy of VARIAMOLS has two complementary and strictly interconnected aspects: on the one hand, the theoretical and algorithmic advancement of the methods currently employed to represent and simulate biomolecules; on the other hand, the systematic application of the developed methods to real-life case studies of great relevance for medical science and technology, with a particular focus on viruses and antibodies.

Keywords: multiscale modelling,coarse graining,soft matter
Social Innovation Community (SIC)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Coordination and support actions
Countries involved: Germany,Spain,Italy,Austria,Belgium,Croatia,Netherlands,United Kingdom,Denmark,United Kingdom
Call: Social innovation Community (H2020-INSO-2015, 2015)
Start date: 2016-02-01
End date: 2019-01-31
Duration (months): 36.0
Total project cost (EUR): 2991906.25
EU funding (EUR): 2991906.25
Participants: 12
Project status: CLOSED

Developing an enabling environment for social innovation that links actions across the whole field and supports the full exploitation of their potential is vital to addressing societal challenges both in Europe and globally. While there is increasing interest for social innovation as a means of addressing societal challenges, there is also considerable variation in the extent to which different countries and regions have embraced social innovation. There are many research and policy projects and incubation and acceleration programmes with valuable outcomes but these are still largely disconnected. Thus, the overarching aim of this project is to create a ‘network of networks’ of social innovation actors. This Social Innovation Community (SIC) will identify, engage and connect actors including researchers, social innovators, citizens, policy-makers, as well as intermediaries, businesses, civil society organisations and public sector employees. Through our cross-cutting Work Packages, we will deliver engagement, research, experimentation, learning and policy activities that engage with and support each of the networks. We will ensure that our cross-cutting activities are complementary and build on each other’s work, rather than operating in silos. As such, this SIC aims to deepen and strengthen existing networks, forge new connections between networks, and create new links to actors and networks which hitherto have not been included in the field of social innovation. The aims of such a community are to generate new social innovations, develop and scale up successful ideas to share and spread knowledge more effectively in order to improve research, practice and policy-making. By creating an enabling environment for social innovation, the project will improve the overall framework conditions for social innovation in Europe. This in turn will support the creation of opportunities for growth and for overcoming the current social and economic crisis affecting much of Europe.

Keywords: engagement,research,experimentation,learning,policy activities,network,policymaking
High Speed, Cost Effective Optical Communications Module Enabling the Next Generation of Ethernet 400 GbE (RocketChip)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Netherlands,United Kingdom
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-11-01
End date: 2019-11-30
Duration (months): 37.0
Total project cost (EUR): 3368250.0
EU funding (EUR): 2357775.0
Participants: 2
Project status: CLOSED

Project “RocketChip” will develop a 400 Gb/s optical communications module for optical fibre transmission. The core technology for this high speed, communications module is Photonic Integrated Circuits (PIC). This technology allows the transmit- and receive-functionality of the system to be integrated onto single chips. The size of the integrated chips will allow the module size to meet the requirement of an industry standard common form factor. This will make it physically compatible with current system vendors’ products. PIC chips are key to the next generation of telecommunications networks that will demand even higher performance, smaller size and lower cost. EFFECT Photonics are leaders in the field of Photonic Integrated Circuits (PICs) and will combine their PIC technology (based on technology spun out from TuE) with their unique and low cost PIC chip packaging technology (15x cheaper than traditional gold box packaging). This will give EFFECT Photonics a significant cost advantage over competing technologies and products, making it economically viable to manufacture the product in Europe. On completion, this 2 years and 9 months project will deliver a market ready and cost effective 400 Gb/s optical communication module. The project is a key enabler of 400Gb Ethernet (400 GbE), providing a timely solution to the urgent, unrelenting issue of rapidly increasing bandwidth demand, converting world leading European research and innovation into €148M of revenue and securing Europe’s position at the forefront of an emerging Photonic Integrated Circuit industry. This project will enable EFFECT Photonics to develop a leadership position in the next generation of PICs and hence develop a strong, profitable and growing business in Europe.

Keywords: dwdm,optical communication,photonics
Development of a Simultaneous Saccharification and Fermentation Technology for Valorisation of Ulva spp. from Macroalgal Blooms (MACSSFT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 337400.64
EU funding (EUR): 337400.64
Participants: 1
Project status: SIGNED

Uncontrolled macroalgal blooms, also known as green or golden tides, is an increasingly frequent global phenomenon and is partly attributed to the increased eutrophication of the marine environment caused by anthropomorphic industrial and agricultural activities. The green opportunistic macroalgae genus Ulva thrives in such conditions and accounts for more than half of global blooms. Various environmental and economic problems have been associated with the occurrence of such blooms; however, if utilised appropriately, the biomass generated from these tides has the potential to be economically rewarding. Ulva spp. have an interesting chemical composition that is predominated by carbohydrates (≤65% dry weight), followed by proteins and lipids. Ulvan, a sulphated polysaccharide consisting of rhamnose, glucuronic acid, iduronic acid and xylose, is the predominant molecule, followed by cellulose. Contemporary research has focused on exploiting the cellulose fraction only, with ulvan, consisting of unique monosaccharides, being overlooked due to the unavailability of suitable saccharification enzymes. Although work on the saccharification of ulvan is gaining momentum, the complete enzymatic breakdown is still a bottleneck. Similarly, the unique monosaccharide composition of ulvan has not been explored to its full potential for fermentation to value-added products. This project, therefore, aims to develop a suitable technology to saccharify both ulvan and cellulose from the biomass and ferment all the monosaccharides present in the hydrolysate to value-added products. Novel and commercial enzymes would be identified and trialled in individual processes for saccharification and fermentation first; with a simultaneous process subsequently optimised to minimise resource inputs and generate minimum waste streams. The developed process would finally be evaluated at a pilot scale to demonstrate its potential to be implemented at the industrial level.

Keywords: macroalgae,green tides,saccharification,fermentation,value added products