Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Smart-grid optimisation using rate of change of frequency (RoCoF) to rapidly balance power grid network frequency - enabling more widespread use of unpredictable renewables and minimising blackouts (OptiGRID)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Ireland
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2016-03-01
End date: 2016-05-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Endeco Technologies Ltd is a pioneering, award winning company recognised as the technology leader in smart grid energy aggregation. Our vision is to become the world’s largest fast acting electricity load aggregator, controlling over 350 MW of load and creating Europe’s largest ‘virtual power plant’. This will allow us to grow our company from our current aggregated load of 50 MW, and our turnover of €4.5 million to €43 million per year by 2022. Electricity systems in EU countries are facing significant challenges as penetration of renewable energy (in particular wind) continues to increase to meet ambitious carbon reduction targets. Due to the intermittent and inflexible nature of renewable energy sources, efficient real-time frequency balancing of grids will become a major challenge for grid operators. A deviation of only 1 Hz from the standard grid frequency (50 Hz) can cause blackouts and power outages as the grid loses inertia, requiring grid operators to quickly add/remove load from the grid to restore balance. Following our success with our current smart grid optimisation system we have seen an opportunity to introduce a disruptive new system, OptiGrid, which will use Rate of Change of Frequency (RoCoF) to allow potentially problematic changes in grid frequency to be detected and acted upon within 0.4 seconds, rather than the 10-second state of the art. As well as providing grid security, this will also allow a greater quantity of renewable energy sources to be integrated into the grid as we will be able to effectively and rapidly deliver the required frequency response performance to grid operators. With the frequency response market expected to see imminent high growth, our technology is well placed to take a significant proportion of this target sector. In the five years following commercialisation, we forecast sales of OptiGrid to total €124.8 million and produce a profit of €28.8 million and an ROI of 1:17.5 over 5 years for Endeco Technologies.

Keywords: grid stability,electricity,aggregation,frequency stability,rocof,rate of change of frequency,renewables,revenue generation
Lubricant impregnated slippery surfaces (LubISS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany,Germany,Germany,Germany,Switzerland,Finland,France,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2017-01-01
End date: 2021-06-30
Duration (months): 54.0
Total project cost (EUR): 3722017.32
EU funding (EUR): 3722017.32
Participants: 12
Project status: CLOSED

LubISS, Lubricant Impregnated Slippery Surfaces, is the first European Training Network with the main objectives of designing, characterizing, and modelling low adhesive easy-to-clean surfaces for anti-icing and anti-fouling. In a coordinated effort among 9 world-class academic institutions and industrial partners from 6 European countries (Finland, France, Germany, Great Britain, Netherlands, Switzerland), advanced lubricant impregnated surfaces will be developed. Drawing upon the distinguished expertise within the consortium, textured surfaces impregnated with a lubricating liquid or gel will be designed and fabricated through modern experimental preparation, multi-scale characterization methods, and high power simulation tools. With these broad capabilities, the LubISS network offers a unique training platform for Early Stage Researchers (ESRs) in a multidisciplinary research endeavor of great technological, industrial and environmental importance. The recently introduced concept of lubricant impregnated surfaces is a promising approach to reduce the adhesion of ice as well as biofilm-forming bacteria-to-surfaces. To achieve societal impact, understanding the intimate relationships between the impregnating lubricant, the surface topography, and the adhesion of ice, bacteria, or other biofouling microorganisms is critical. The general aim of this ITN is two-fold: 1) to establish a fundamental understanding between these relationships through academic and industrial collaborations in physics, chemistry, biomedicine, materials science and engineering, and 2) to educate and train young researchers in this vital area of technology. The LubISS network will investigate many aspects of lubricant impregnated surfaces, including the optimization of the lubricant stability under static and dynamic flow conditions, methods for replenishing the lubricant for long-term applications, and benchmarking against state-of-the-art surfaces.

Keywords: physical chemistry,surface modifications,wetting,adhesion,interfacial tension,superhydrophobicity,easy to clean,icing,biofouling,lubricant,droplet,flow,confocal microscopy,replenishing
Optimal Lightning Protection System (Opti-LPS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Denmark
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-10-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

EU has set the goal that 20% of our energy should come from renewable sources by 2020. The impact of lightning strikes on wind turbines has long been an issue for the industry. Already in the technical report from IEC published in 1998 (IEC TR 61400-24) blade damages was contributing with the highest repair cost, and the longest outage time. This tendency has continued the last decade, where the blade lengths have increased from 20-30m to blade lengths of 60-80m. Specifically, lightning-related failures and consequent maintenance and repair activities is the primary cost in operating wind turbines, for instance a lightning strike offshore can cost up to €1.5 million when accounting for the expenses related to crane vessel, offshore repair operations and loss in energy production. Currently, all OEMs implement lightning protection systems (LPSs) in their blades. However, laboratory experiments and field experience often find these protection systems inefficient. This has drastic economic consequences for wind farms owners/operators. The Opti-LPS project mitigates this problem by developing an innovative new blade agnostic LPS product, increasing the protection efficiency (interception and lightning current conduction), lowering the costs of the LPS system, and greatly simplifying the installations and logistics compared to recent solutions seen at many manufacturers. The consequence is a lowering of initial costs and servicing that ultimately increases the economic feasibility of wind turbines. The innovation project will bring the Opti-LPS closer to market by design optimisation, work flow optimisation and demonstrations using prototypes. The feasibility study comprises of: a market study, feasibility of technical and economic factors and development of a business plan.

Keywords: wind turbine,offshore,onshore,lightning
My Active and Healthy Aging (my-AHA)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Australia,Austria,Italy,Germany,Spain,Korea, Republic of,Netherlands,United Kingdom,Japan,Portugal
Call: Advancing active and healthy ageing with ICT: Early risk detection and intervention (H2020-PHC-2015-single-stage, 2015)
Start date: 2016-01-01
End date: 2020-03-31
Duration (months): 51.0
Total project cost (EUR): 5168451.25
EU funding (EUR): 4247233.75
Participants: 17
Project status: CLOSED

Background We propose a holistic view of interrelated frailties: cognitive decline, physical frailty, depression and anxiety, social isolation and poor sleep quality, which are a major burden to older adults and social and health care systems. Early detection and intervention are crucial in sustaining active and healthy ageing (AHA) and slowing or reversing further decline. Aims and Relevance The main aim of my-AHA is to reduce frailty risk by improving physical activity and cognitive function, psychological state, social resources, nutrition, sleep and overall well-being. It will empower older citizens to better manage their own health, resulting in healthcare cost savings. my-AHA will use state-of-the-art analytical concepts to provide new ways of health monitoring and disease prevention through individualized profiling and personalized recommendations, feedback and support. Approach An ICT-based platform will detect defined risks in the frailty domains early and accurately via non-stigmatising embedded sensors and data readily available in the daily living environment of older adults. When risk is detected, my-AHA will provide targeted ICT-based interventions with a scientific evidence base of efficacy, including vetted offerings from established providers of medical and AHA support. These interventions will follow an integrated approach to motivate users to participate in exercise, cognitively stimulating games and social networking to achieve long-term behavioural change, sustained by continued end user engagement with my-AHA. Scale and Sustainability The proposed platform provides numerous incentives to engage diverse stakeholders, constituting a sustainable ecosystem with empowered end users and reliable standardised interfaces for solutions providers, which will be ready for larger scale deployment at project end. The ultimate aim is to deliver significant innovation in the area of AHA by cooperation with European health care organizations, SMEs, NGOs.

Keywords: frailty,cognition,falls,depression,sociability,empowerment,exercise
Common Oncogenic Mechanisms in Multi-Partner Translocation Families in Acute Myeloid Leukemia (ONCOMECHAML)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Austria
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-06-01
End date: 2020-05-31
Duration (months): 60.0
Total project cost (EUR): 1499500.0
EU funding (EUR): 513990.75
Participants: 2
Project status: CLOSED

Acute Myeloid Leukemia (AML) is the most frequent cancer of the blood system, with >80% mortality within 5 years of diagnosis. Straightforward clinical decisions are complicated by the genetic complexity of AML. In particular, fusion proteins arising from chromosomal aberrations are recurrently found in AML and often act as strong driver oncogenes. In “Multi-Partner Translocation” (MPT) families, one specific gene is fused to many recipient loci. Due to this modular architecture, MPT families are of particular interest to comparative studies of oncogenic mechanisms. The three most common MPT families in AML represent translocations of the MLL, RUNX1 and NUP98 genes. Despite their clinical significance, the molecular mechanism of transformation remains unknown for the majority of fusion proteins and it is unclear if transforming mechanisms are conserved within and across different MPT families. We hypothesize that common oncogenic mechanisms of fusion proteins are encoded in physical and genetic cellular interaction networks that are specific to MPT families. We propose to delineate critical common effectors of oncogenic mechanisms in AML driven by MPT families through a comprehensive, comparative, functional analysis of 20 clinically representative MLL-, RUNX1- and NUP98-fusion proteins using a unique experimental pipeline. Characterization of protein interactomes and their effects on gene expression will identify common cellular denominators of MPT families, whose functional contribution will be assessed through pooled shRNA screens in clinically relevant model systems. High-confidence hits will be validated in mouse models and primary cells from AML patients. This project will generate large informative datasets and novel experimental systems that are of relevance for basic and clinical cancer research. It will contribute to improved understanding of oncogenic mechanisms, which may directly impact on diagnostic and therapeutic strategies in the management of AML.

Keywords: acute myeloid leukemia,fusion proteins,molecular medicine,oncogenic mechanism,proteomics,transcriptomics,rnai,common molecular mechanisms,diagnosis,treatment
A novel Stratified Medicine Algorithm to predict treatment responses to host-directed therapy in TB patients. (SMA-TB)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: South Africa,Germany,Spain,Norway,Georgia,France,Netherlands
Call: Stratified host-directed approaches to improve prevention, treatment and/or cure of infectious diseases (H2020-SC1-2019-Two-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2024-06-30
Duration (months): 54.0
Total project cost (EUR): 6388104.0
EU funding (EUR): 6388104.0
Participants: 9
Project status: SIGNED

Tuberculosis (TB) is a chronic, life-threatening infectious disease which poses a tremendous challenge for physicians, researchers and Health Systems, which treatment is long, based only on the drug susceptibility of the responsible infective strain and very costly in drug-resistant cases (MDR-TB). The European Region still has the highest prevalence of MDR-TB in the world. Host-Directed Therapies (HDT) have been recently proposed to shorten treatment length and by to improve the patients’ outcomes while not increasing the risk of generating drug resistance. As hyperinflammation is responsible of the lung damage associated to patients’ worse outcomes and sequelae, one of the approaches is to add an HDT with anti-inflammatory effect to the current drug regimen to cure the patients faster while having less permanent lung damage. Because TB has a wide range of clinical forms and severity stages, any therapeutic regimen needs to be studied in clinical trials (CT) as its benefit might differ among patients. No individualized personalized medicine is possible without stratifying the patients by integrating pathogen and host factors that will predict the course of the disease and the response to the intervention. SMA-TB objectives are: • To evaluate in a CT the potential impact of acetylsalicylic acid (ASA) and Ibuprofen (Ibu) (anti-inflammatoriesy HDT) as adjuncts to standard therapy for drug sensitive (DS-) and MDR-TB. This potentially will reduce tissue damage, decrease the length of the treatment and the risk of bad outcomes. • To identify and clinically validate host and pathogen biomarkers for further selection according to their relevance in terms of their ability to predict TB course and outcomes and response to treatment thanks to data science protocol. • To generate a medical algorithm to stratify patients using network-based mathematical modelling for predicting the course of the disease and its response to the intervention, to be applied during clinical management to improve and personalize TB.

Keywords: tuberculosis,host directed therapies,clinical trial,biomarkers,systems biology,health related quality of life,wellbeing
Cellular innovation driving nervous system evolution (NeuralCellTypeEvo)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Cellular, Developmental and Regenerative Biology
Panel description: Structure and function of the cell, cell-cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-06-01
End date: 2024-05-31
Duration (months): 72.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Nervous system evolution involved multiple cellular innovations, enabling fast synaptic transmission, novel sensory modalities, and complex forms of neural connectivity. These innovations were distributed to an ever-increasing number of neural cell types, each specified and maintained by the combinatorial activity of transcription factors. When, where, and how did this complexity arise? This proposal aims at resolving the history of cell type diversification that led to this complexity, from the birth of the first neurons to the many families of neuron types that exist today. Our emphasis will be on reconstructing the cellular diversity in the ancestor of bilaterian animals and finding the key molecular innovations that drove early nervous system complexity. Towards this aim, we will first use whole-body single-cell RNAseq, in combination with a spatial expression atlas at cellular resolution, to comprehensively characterise cell types in the model annelid Platynereis dumerilii, a genetically tractable, slow-evolving bilaterian. We will then generate and compare similar datasets from diverse bilaterians and non-bilaterian outgroups to map the history of neuronal cell type diversification and infer the key regulatory and functional innovations that gave rise to the first bilaterian nervous system. For several such regulatory innovations, we will experimentally validate transcription factor binding to effector gene loci via superresolution microscopy and chromatin immunoprecipitation. We will also investigate neuron family-specific protein complexes, their subcellular localization, and neural functions via biochemical and proteomics approaches, correlative microscopy and loss-of-function analyses. This analysis of neuronal cell type diversity will for the first time trace the evolutionary history of nervous system complexity, unravelling when, where and how key neuronal innovations have driven the success of bilaterian nervous systems.

Keywords: evo devo,cell type evolution,single cell genomics,nervous system evolution
Big Data for Mobility Tracking Knowledge Extraction in Urban Areas (Track and Know)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: BDVA (cPPP)
Countries involved: Italy,Germany,Ireland,Switzerland,Belgium,Greece,Greece,Belgium,France,Luxembourg,United Kingdom,United Kingdom
Call: Big data PPP: research addressing main technology challenges of the data economy (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2020-12-31
Duration (months): 36.0
Total project cost (EUR): 4848013.75
EU funding (EUR): 4848013.75
Participants: 17
Project status: CLOSED

Track&Know will research, develop and exploit a new software framework that aims at increasing the efficiency of Big Data applications in the transport, mobility, motor insurance and health sectors. Stemming from industrial cases, Track&Know will develop user friendly toolboxes that will be readily applicable in the addressed markets, and will be also investigated in additional domains through liaison activities with running ICT-15 Lighthouse projects. Track&Know integrates multidisciplinary research teams from Mobility Data management, Complex Event Recognition, Geospatial Modelling, Complex Network Analysis, Transportation Engineering and Visual Analytics to develop new models and applications. Track&Know recognizes that Big Data penetration is not adequately developed in niche markets outside the traditional verticals (e.g. Finance) and so the Track&Know Toolboxes will be demonstrated in three real-world Pilots using datasets from niche market scenarios to validate efficiency improvements. Performance and impact benchmarks are elaborated and will be documented during pilots deployment. The Track&Know consortium is composed by complementary partners, coming from addressed research, technological and commercial domains, that have a proven track record of high quality research capacity. Thus, the carefully structured workplan, embodies a holistic approach towards meeting the Track&Know objectives and delivering market-relevant outcomes of significant exploitation potential.

Keywords: urban mobility,heathcare,insurance,big data toolboxes
IONEX AIR IONIZER FOR INSTALLATION IN VEHICLES' CABINS TO IMPROVE ROAD SAFETY FOR EU CITIZENS (IONEXAir)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Slovenia
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

IONEX Ltd, specialized in air ionization technology, has recently developed and tested a working prototype of a new solution, the most efficient and innovative IONEX air ionizer for installation in a vehicle’s cabin, which adds into the air sufficient number of negative ions for normalization of conditions inside a car. The key is in uniquely designed and patented carbon brush, which emits large amounts of negative ions without generating harmful ozone, and cleans the air of carcinogenic particles. We aim to finalize and commercially deploy our solution in the EU and worldwide during Ph.2&3, to create over 100 new employments and revenues reaching €45M by 2022. We have already attracted potential business partners in car industry (BMW) and air treatment industry (=HVAC) for further development of product (see their Letter of Interest). The innovation is significant, because it improves the indoor air conditions in all types of vehicles by integrating air ionization, which results in a calmer, more focused and cautious driver (by some studies, concentration can be improved by 30%), thus increasing safety (fewer accidents), protects health and lowers governmental health treatment expenses. Why are we the best for the job? We have been a SME manufacturer of different types of air ionizers since 1998 and have successfully marketed our ionizers to many EU and other countries (Belgium, Germany, Poland, Italy, Denmark, UK, Norway, UAE), gained rich IP portfolio (3 patents, 2 designs and 1 European trademark; most important patent is for carbon brush), and achieved an Innovation award for proposed solution. In 2016, the innovator and the owner of IONEX company, Lorena Leonardos, has shared her expertise and a collection of scientific studies in her book »Negative ions as a method of healing – Evidence by Scientific Institutes worldwide«. We have attracted interest from automotive manufacturer BMW (D) and a producer of air treatment devices TRM Filter Ltd. (SI).

Keywords: ionizer,passenger safety,pantent portfolio,close to market