Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
River hydraulics, morphology, and vegetation: A case for improved knowledge and numerical model capabilities (River-HMV)

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: Environment and Geosciences
Countries involved: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-01
End date: 2017-09-30
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

The interdisciplinary knowledge and ability for river managers to effectively predict flood risks, restore rivers, and assess future alterations are currently restricted to the limited understanding of how river hydraulics, morphology, and vegetation alter a river’s planform, effect sediment mobility, and control the surrounding habitats. To improve this knowledge and capabilities, this research seeks to i) use physical model flume experiments to quantify the hydraulic, morphologic, and vegetation interactions of a braided channel as well as investigate the use of manipulated channel avulsion as an innovative method to increase a river’s floodplain conveyance, ii) to quantify the accuracy of a cutting-edge numerical model’s simulations, and iii) to improve the numerical model’s functionality. Through increased knowledge, improved model capabilities, and potentially identifying a new technique to increase a degraded river’s floodplain dynamics, this research can improve the efficacy of river managers around the world. In particular, Europe could utilize the contributions of this research to help meet the ecological-morphological aspects of the Water Framework Directives and Flood Directives and to restore many of the heavily altered rivers of the European Alps.

Keywords: river hydraulics,morphology,and vegetation a case for improved knowledge and numerical model capabilities
Combined HEat SyStem by using Solar Energy and heaT pUmPs (CHESS-SETUP)

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: Innovation actions
Countries involved: Spain,Germany,Spain,France,Netherlands,United Kingdom,United Kingdom
Call: Buildings design for new highly energy performing buildings (H2020-EE-2015-1-PPP, 2015)
Start date: 2016-06-01
End date: 2020-09-30
Duration (months): 52.0
Total project cost (EUR): 3718454.57
EU funding (EUR): 3364315.14
Participants: 13
Project status: CLOSED

The project objective is to design, implement and promote a reliable, efficient and profitable system able to supply heating and hot water in buildings mainly from renewable sources. The proposed system is based in the optimal combination of solar thermal (ST) energy production, seasonal heat storage and high efficient heat pump use. Heat pumps will be improved technically in order to obtain the best performace in the special conditions of the CHESS-SETUP system. The used solar panels will be hybrid photovoltaic and solar thermal (PV-ST) panels, which is a promising solution for also producing the electricity consumed by the heat and water pumps of the heating system and part of the electricity consumed in the building. Hybrid solar panels are a key element to achieving energy self-sufficiency in buildings, especially in dense urban areas where the roof availability is one of the most limiting factors. Also will be considered the integration of other energy sources as biomass or heat waste, to make the system suitable for any climate conditions. The project will also explore the possibility to integrate the system with other electricity or cooling technologies (solar cooling, cogeneration). The system operation will be optimized according to some external factors, as electricity price or user requirements by using a smart control and management systems developed specifically for the project. This proposal will be materialized in three pilot experiences: a small-scale prototype in Lavola's headquarters (Spain), 50 new dwellings located in Corby (England) and a new sport centre located in Sant Cugat (Spain).

Keywords: solar energy,heat pumps,seasonal thermal storage,nzeb,management system
Colloidal Inorganic Nanostructures for Radiotherapy and Chemotherapy (ICARO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Italy,Italy
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-03-01
End date: 2020-12-31
Duration (months): 58.0
Total project cost (EUR): 1160000.0
EU funding (EUR): 1160000.0
Participants: 2
Project status: CLOSED

Radio and chemotherapy are the major clinical treatments for cancer. However these treatments lack cell specificity and can have severe side effects against healthy cells, especially when used in combination. My goal is to develop a nanocrystal (NC) platform to merge radio and chemotherapy into a single entity that is more specific towards tumor cells. To achieve ICARO’s goal, three main objectives will be pursued. The first objective is to introduce post-synthesis reactions, namely cation exchange (CE) and intercalation (INT) reactions, as new protocols to replace or intercalate cations that are useful as radionuclides within the crystal lattice of water-soluble NCs. Our goal is to establish protocols for the preparation of radiolabelled-NCs that will be easily translated to the medical practice for radiotherapy. This requires CE/INT reactions that occur in aqueous media, possibly with NCs prefunctionalized with specific recognition molecules to achieve targeted radiotherapy. To minimize the radio exposure of the operator, CE/INT protocols will be carried out as the last step of NC preparation. The second objective of ICARO will be to explore in situ CE/INT reactions with NCs entrapped in a matrix that simulates the tumor mass. By first located NCs at the tumor and then let the CE/INT to occur, enhance therapeutic effect is expected. The third objective of ICARO will be to develop heterostructures to combine radio and chemotherapy. They will include at least one semiconductor NC on which to perform radiolabelling protocols and one portion made of a superparamagnetic (SP) NC for magnetically triggered drug release. With respect to magnetic hyperthermia, which exploits SP-NCs to produce bulk heat (>46°C) at the tumor, the local heat effect generated at the surface of SP-NCs will enable drug release using a lower dose of magnetic material. Finally, new types of heterostructures combining radio and chemotherapy will be tested, for the first time, in preclinical trials.

Keywords: chemotherapy,metal based internal radiotherapy,nanostructures,drug release,nanocarriers,drug delivery,radiolabelled nanoparticles
A CLOUD APPLICATION PLATFORM FOR RATIONAL DRUG DISCOVERY USING HIGH THROUGHPUT MOLECULAR DYNAMICS (Cloud-HTMD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain
Call: European SME innovation Associate - pilot (H2020-INNOSUP-02-2016, 2016)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 75000.0
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Since 10 years, Acellera is at the forefront in the development of Molecular Dynamics (MD) applications for drug discovery, and is committed to developing next generation tools that facilitate adoption of this technology by a wider segment of the drug discovery community. Acellera’s strategy is to develop a powerful cloud-computing platform to widen access to high-throughput molecular dynamics simulations SaaS solution (Software as a Service). The aim is to accelerate market uptake of computational drug discovery and drive down the cost of development in the pharmaceutical industry. To this end a new software technology platform was released recently open source (HTMD.org) in order to help create a large community of scientists acquainted with our technology. HTMD aims to help dramatically accelerated pre-clinical research and to provide an order of magnitude increase in productivity compared to traditional in-vitro screenings. In this project, Acellera proposes a new integrated computational chemistry solution for Cloud computing. The objectives that Acellera would like to achieve by recruiting an Innovation Associate are a) to develop a web-application to facilitate the use HTMD on cloud for biotech companies and smaller pharmaceutical companies, and b) to develop an innovative medicinal chemistry protocols via a web based and cloud-powered infrastructure. The IA will be in charge of solving an industrial problem reported by the market. The development of the new tools will allow answering the unmet need to enable any small, medium company to perform similar in-silico protocols of top-pharmaceutical companies for accelerating their discovery pipelines.

Keywords: high throughput molecular dynamics,cloud,drug discovery
Facilitating Collaboration in ReseArch and Development to Foster Further Innovation in European AeroNautics (RADIAN)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Countries involved: Ukraine,Italy,Italy,Germany,Estonia,Germany,Poland,Belgium,Hungary,France
Call: Identification of gaps, barriers and needs in the aviation research (H2020-MG-2016-SingleStage-INEA, 2016)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 1996662.65
EU funding (EUR): 1996662.5
Participants: 11
Project status: CLOSED

Aviation is a vital industrial sector of Europe’s society and economy. For several historical reasons the economic activities in this field are unevenly distributed across Europe. Statistics show that also the R&D effort, which always comes along with the aviation, mirrors this allocation. On one hand, there are countries and regions featuring low involvement in aviation research and also low participation in the EU Framework Programmes; on the other – some regions are heavily involved in aviation R&D and are origin of wealth and prosperity. RADIAN is a multi-step project which intends to overcome this misbalance by identification of barriers for international collaboration in aviation research at EU level and by subsequent development and verification of solutions and measures on level of the European regions. The initial step is to assess the impact of regional, national and international environment on aviation actors. An impact is considered to become a “barrier” in case it has a detrimental nature or significantly differs from the pan-European average. By systematically comparing single impact scenarios for various actors located in different European regions, barriers for cooperation will be identified. Having this verified knowledge, 12 target regions are identified to derive, verify and execute tailored activity plans aiming at the enhancement of the actor’s ability to cooperate by reducing the disadvantageous impact or by the advancement of actor’s own assets, knowledge and abilities. Another field of work of RADIAN is a self-sustaining collaboration platform which acts as a host for transnational exchange. The platform aims at becoming a live portal, for providing personalised information related to the users’ interests such as open calls, available funding schemes, recent advancements etc.

Keywords: analysis of the european research area in aeronatics and air transport,widening networks of european stakeholders active in aat
Enabling Visual IoT Applications with Advanced Network Coding Algorithms (ENVISION)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-01-15
End date: 2020-01-14
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The latest advances and integration of several key technologies such as wireless communications, low-power sensing, embedded systems, Internet protocols and cloud computing, have enabled the emergence of the Internet of Things (IoT) paradigm. However, the ever-growing deployment of the visual sensing applications within IoT deployments is expected to strain the network and cloud infrastructures used to deliver and store massive amounts of visual data. To partly address these challenges, prototypes of neuromorphic visual sensors, a.k.a. dynamic vision sensors (DVS), have been produced in the last two years. Instead of the conventional raster scan of video cameras, DVS devices record pixel coordinates and timestamps of reflectance events in an asynchronous manner, thereby offering substantial improvements in sampling speed and power consumption. ENVISION argues that, in order to fully exploit the advantages of neuromorphic sensing for IoT applications, such devices should be coupled with appropriate transmission and storage mechanisms that would take advantage of the visual data properties to achieve even higher bandwidth, power and storage efficiency. The ENVISION project aims at developing such data-driven delivery and storage algorithms based on advanced network coding techniques for data acquired by both conventional frame-based video cameras and DVS devices. Specifically, ENVISION is pursuing three interconnected research objectives: (i) designing advanced content-driven network codes for efficient transmission of the visual content captured by neuromorphic and conventional visual sensors to the cloud service under bandwidth and power constraints, (ii) developing novel content-aware network codes for storage of the visual content under the cost-performance optimisation framework, and (iii) investigating approximate decoding techniques including both the theoretical analysis of the performance and the implementation of practical low-complexity decoders.

Keywords: dynamic vision sensing,network coding,internet of things,low power visual sensor networks
Bilingual inhibitory control: N-2 language repetition costs unchained (BIC)

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: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

A multitude of models have proposed different mechanisms underlying bilingual language control, a process that restricts bilingual language processing to the target language. Many, but not all, of these models assume that inhibition plays an integral role during bilingual language control. However, there is little empirical evidence for such a claim. In the current proposal, a list of 8 experiments are put forward that investigate, in both production and comprehension, whether there is inhibition and whether this inhibition persists and is reactive, as proposed by several models. Moreover, the current proposal also allows for an investigation into the locus of inhibitory control, which is a largely neglected subject. To investigate inhibition, n-2 language repetition costs would be examined, which entail worse performance on language A in ABA than in CBA sequences (with A, B, and C being trials in different languages). Finally, based on a previous comprehension-based computational model of language control (BIA-model) and the data obtained in the current proposal, a computational model of inhibitory control during bilingual language production would be constructed, which is novel in the field.

Keywords: psycholinguistics,language production,language comprehension,bilingualism,inhibition
iLocator - Map, track and manage point-based-assets (iLocator)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Denmark
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-01-01
End date: 2015-05-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The problem: OECD countries, on average, spend more than 2% of GDP on maintenance of road, rail, sewage, water, park, power, telecom, and harbour and airfield infrastructure. Specifically, sewage maintenance is an increasing cost for municipalities with the growing number of flash floods in Europe, which in turn puts enormous pressure on gullies to diverge water. It is expected that the occurrence of these events will continue to increase in the near future. Therefore, servicing and maintenance of this infrastructure will become even more important to prevent flooding. The market: Local authorities/municipalities are typically responsible for the service and maintenance of physical infrastructure such as roads, traffic signs, storm drains (gullies) and trees (i.e. assets). Municipalities across Europe spend a large part of the renovation budget on gully cleaning, given the number and high frequency of the maintenance service. Due to the sheer number of gullies within a single municipality, logistics are becoming increasingly difficult and cumbersome. Furthermore, there is currently no reliable/easy-to-use, commercially available systems for managing assets (gullies). Consequently, cleaning schedules and general upkeep of the gullies are inconsistent, inefficient and costly. The solution: iLocator is a lean early-stage born global company, pursuing a Software-as-a-Service (SaaS) business model. We have developed a unique platform and a range of tools to unlock a huge addressable global market, which is the effective management of gully cleaning. iLocator has clearly identified a significant potential for optimizing these maintenance processes with preliminary results indicating a reduction in maintenance and management expenses by 20%.

Keywords: storm drain,tablet,geolocation,asset,management
SAGE (SAGE)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Sweden,France,France,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-09-01
End date: 2018-08-31
Duration (months): 36.0
Total project cost (EUR): 7882531.25
EU funding (EUR): 7882531.0
Participants: 13
Project status: CLOSED

Worldwide data volumes are exploding and islands of storage remote from compute will not scale. We will demonstrate the first instance of intelligent data storage, uniting data processing and storage as two sides of the same rich computational model. This will enable sophisticated, intention-aware data processing to be integrated within a storage systems infrastructure, combined with the potential for Exabyte scale deployment in future generations of extreme scale HPC systems. Enabling only the salient data to flow in and out of compute nodes, from a sea of devices spanning next generation solid state to low performance disc we enable a vision of a new model of highly efficient and effective HPC and Big Data demonstrated through the SAGE project. Objectives - Provide a next-generation multi-tiered object-based data storage system (hardware and enabling software) supporting future-generation multi-tier persistent storage media supporting integral computational capability, within a hierarchy. - Significantly improve overall scientific output through advancements in systemic data access performance and drastically reduced data movements. - Provides a roadmap of technologies supporting data access for both Exascale/Exabyte and High Performance Data Analytics. - Provide programming models, access methods and support tools validating their usability, including ‘Big-Data’ access and analysis methods - Co-Designing and validating on a smaller representative system with earth sciences, meteorology, clean energy, and physics communities - Projecting suitability for extreme scaling through simulation based on evaluation results. Call Alignment: We address storage data access with optimised systems for converged Big Data and HPC use, in a co-design process with scientific partners and applications from many domains. System effectiveness and power efficiency are dramatically improved through minimized data transfer, with extreme scaling and resilience.

Keywords: high performance computing,data storage,exascale,exabyte,data centric computing efficiency,o intensive,data volumes,hpda,big data,bdec,object storage,nvram