Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A disruptive air filtration system for cleaning-free operation in dust-intensive process industrial environments (JetConveyor)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Denmark
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2017-12-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Current air industrial filters typically rely on sucking particles from process chambers, which are captured by filter bags that get heavily clogged quickly and require nearly continuous cleaning– either requiring production halts or redundant filtering systems that allow to clean one filter, while another is operating –, thus increasing CAPEX or OPEX. While remaining a critical operational bottleneck in several industries, incremental innovation has set the tone of technical developments in this field – with drum filters remaining the inefficient yet undisputed forefront standard in the industry. JetConveyor represents a disruptive innovation against the current state-of-the-art in industrial air filtering technologies, providing a sizeable set of advantages against alternative methods, including: (1) 24/7 operation with minimum maintenance requirements; (2) significant reduction of health occupational hazards; (3) virtually risk free against system breakdown (no moving parts); (4) significant energy savings against clogged filters; (5) it enables improved recycling of process byproducts, enabling its direct reutilization in the manufacturing process. In addition, and provided that JetConveyor’s draws its advantages from an innovative system design rather than specific filter components, overall system costs remain directly in-line with conventional alternatives in the market. To bridge the remaining steps towards full scale commercialization of JetConveyor, MultiAir will leverage from the current SME instrument application as a vital stepping stone to prepare the company’s business strategy, enabling also to secure IPR prior to engaging with showcasing activities to enroll early adopters of the technology. JetConveyor will not only significantly contribute to increase the profitability for the end-users, but it will also untap a very large business opportunity for our company, summing up to €73.8 mn revenue over the 5-years post market introduction.

Keywords: industrial ventilation,advanced industrial air filtering,paper and textile production process
Safeguarding Water Distribution Systems from Contamination Threats using the SmartTap Platform (WATERGUARD)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: Cyprus
Call: Critical infrastructure protection topic 7: SME instrument topic: “Protection of Urban soft targets and urban critical infrastructures” (H2020-SMEINST-1-2014, 2014)
Start date: 2015-07-01
End date: 2015-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The objective of the proposed innovation project is the commercialization of the SmartTap Platform: An early-warning real-time water contamination monitoring system for the protection of water distribution systems against accidental or malicious chemical contamination events, provided as a service to utilities. Currently, water utilities rely on manual sampling to monitor water quality; however it may take days before a contamination event is detected. Competition relies on expensive sensors; as a result, most water utilities can only install such specialized sensors at very few locations within a network, thus offering reduced coverage. SmartTap is a cyber-physical system comprised of low-cost wireless sensory devices (physical) and smart cloud software (cyber) that are seamlessly integrated, so that the software is able to analyze the data in real-time, as well as to compensate hardware inaccuracies. The SmartTap devices monitor several physicochemical water parameters with low-cost sensors and fuse multi-sensor data at a local level to infer possible contamination events. The goal is to provide real-time water quality monitoring information to consumers and utilities and to reliably detect any contamination events within 1-2 hours, instead of days, thus significantly reducing the financial and societal impact of that event. The SmartTap Sensor System already exists as a home/industry product of Aqualligence, and is currently being field-tested by a water utility. In addition, Aqualligence provides consulting services for water security. Aqualligence envisions to offer a contamination alert service for the protection of water utilities, a very niche market which is not affected by strong competition. The feasibility study will present the analysis of the market segments/customer needs, the competition and the competitive advantages, the various business models and the best IP Management strategy, the risks and the financial projections under various scenarios.

Keywords: water distribution networks,critical infrastructures,contamination detection,water security,fault,event detection,large scale systems
Research platform on antibiotic resistance spread through wastewater treatment plants (REPARES)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Poland,Czechia,Netherlands,Netherlands,Denmark,Portugal
Call: Twinning (H2020-WIDESPREAD-2018-03, 2018)
Start date: 2019-10-01
End date: 2023-06-30
Duration (months): 45.0
Total project cost (EUR): 781856.25
EU funding (EUR): 781856.25
Participants: 6
Project status: SIGNED

Development and proliferation of antibiotic resistance is classified among major global threats by the World Health Organization. Sanitation of the water cycle is essential to sustain environmental and human health. Within urban water systems, public and governmental perception is rising on the role of wastewater treatment plants (WWTPs) and their microbiomes as putative hotspots for the proliferation of antibiotic resistances, and the need for new quality criteria and installation upgrades. However, because of methodological biases, our knowledge remains limited on the emission, fate and possible amplification or removal of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) across WWTPs. There is an urgent need to develop standardized methods and database for the accurate identification, characterization, and quantification of antibiotic resistances in such complex water matrices. REPARES brings excellence in research on spread of antibiotic resistance in WWTPs through establishing cooperation of UCT with leading European innovators and internationally-renowned expert of the water-related antibiotic resistance field: UCP will share its expert leadership in wastewater-mediated antibiotic resistance; TUDelft will deliver methods to successfully apply for international projects; Wetsus will propel cooperation with the non-academic sector; AAU will integrate the REPARES database within the world-accepted MiDAS database. REPARES aims at advancing the European community‘s know-how on antibiotic resistance across sanitation waterways, which in the future will bring society to closer achieve Sustainable Development Goal of the United Nations. REPARES will act as an essential vector to disseminate information on antimicrobial resistance spread within European WWTPs beyond science and technology in order to reach the non-academic community by means of open events, popularization publications, and operation of the REPARES web platform.

Keywords: antibiotic resistance,args,wwtp,international research experience,golden analytical standards,database,knowledge platform
International cooperation for selective conversion of CO2 into METHAnol under SOLar light (METHASOL)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Israel,Germany,Spain,Switzerland,China,France,France,France,France,United States,Netherlands,United Kingdom
Call: International Cooperation with USA and/or China on alternative renewable fuels from sunlight for energy, transport and chemical storage (H2020-LC-SC3-2020-NZE-RES-CC, 2020)
Start date: 2021-07-01
End date: 2024-12-31
Duration (months): 42.0
Total project cost (EUR): 5190102.5
EU funding (EUR): 3999633.75
Participants: 17
Project status: SIGNED

Methanol is an appealing energy vectors, with attractive volumetric and gravimetric energy values, storable in liquid phase at ambient conditions of pressure and temperature, and that can be used as fuel directly or converted into chemicals or gasoline. However, its production lacks a sustainable route. Thus, the METHASOL project aims to produce methanol through a sustainable and cost-effective process based on the selective visible light driven gas phase CO2 reduction, with a solar to methanol energy conversion efficiency of 5%. During 42 months, METHASOL will gather 14 partners from EU/Associated MS, China and the USA, including some of the world’s most recognized researchers on artificial photosynthesis, to achieve a ground-breaking combination of a CO2 reduction reaction (CO2RR) system based on Metal-Organic Framework (MOF) and a graphitic Carbon Nitride (g-CN) for photocatalytic oxygen evolution reaction (OER), through a Z-scheme heterojunction. Following the definition of the system specifications (WP1), a first set of materials for OER and CO2RR will be synthesised and their photocatalytic activity and stability will be screened (WP2). The most promising materials will be further analysed thanks to experimental characterisation and modelling (WP3), leading to guidelines used for designing an enhanced CO2RR and OER materials (WP4). The best systems will then be integrated through a Z-scheme heterojunction, either with or without a mediator, and tested in tailored reactors operating in the gas phase under different conditions (WP5). A complete sustainability analysis will be conducted (WP6) to ensure the clean production of methanol. The cooperation between European and Chinese research entities will be consolidated to last beyond the project lifetime through the creation of a common exploitation plan (WP7). Through its ambitious activities on photocatalyst developments for solar to methanol conversion, METHASOL will propose a new path for decarbonizing Europe.

Keywords: methanol,photocatalysis,direct sunlight conversion,co2 conversion,oxygen evolution reaction,z scheme heterojunction
Chromosomal rearrangements and diversification on environmental gradients (INVERTIDAL)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-09-01
End date: 2018-08-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Chromosomal rearrangements (CRs) are considered to foster adaptation (and speciation) by protecting advantageous combinations of alleles from recombination. This is supported by the frequent observation of inversion clines linked to environmental gradients. However, direct evidence for the proposed allelic interactions within CRs and their role in diversification remains elusive. The rocky intertidal is a natural laboratory to study adaptation along gradients and its contribution to speciation. In particular, the parallel evolution of divergent ecotypes in Littorina saxatilis offers a unique opportunity to investigate the genetic basis of phenotypic variation associated with spatial environmental changes (i.e. the genomic architecture of adaptation and speciation). Although advances on genomics have allowed the identification of loci involved in these processes, the role of structural variation has not yet been tested. Here I propose an interdisciplinary project that will combine data on genome organization, genotype and phenotype with modelling and existing ecological and behavioural information; aiming to provide a more complete view of adaptation and diversification when facing abrupt environmental changes. Prof. Butlin, at the University of Sheffield, will give me access to a leading research group in adaptation and speciation genomics and to a highly stimulating department in evolutionary biology; while during two secondments (at University Pompeu Fabra and University of Bari) I will receive further specialized training on CR detection. These new skills in cutting-edge research will put me in a privileged position to establish myself as an independent researcher. The outcome of INVERTIDAL will not only have an impact on basic evolutionary knowledge but will also address a major societal concern (climate change) and give key information to biodiversity managers, helping to bridge research and decision-making, in line with the Horizon2020 framework.

Keywords: adaptation,adaptive introgression,chromosomal rearrangements,conservation,ecotypes,environmental gradients,intertidal,littorina saxatilis,natural selection,parallel evolution,speciation
The commercial exploitation of mentorship programme outcome intelligence in the global corporate and university market. (MentorPitch)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Ireland
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The MentorPitch platform www.mentorpitch.com is highly disruptive in a global mentoring context. It is the first platform to automate the management and measurement of large scale mentoring programmes. MentorPitch measures the outcomes of mentoring programmes in a corporate and education environment. MentorPitch is a Software as a Service (SAAS) cloud-based business. The platform automates the management and measurement of mentorship programmes, thereby reducing the administration time of managing a programme. It is impossible for humans to manually manage and measure the outcomes of large scale mentorships that occur in a mentoring programme. Corporate and university mentoring programme managers face one common problem – how to manually manage a mentoring programme and capture the outcomes of all the mentorships in a specific programme. Our objectives for this project are: 1) To commercially validate the outcome intelligence for university student-alumni mentoring programmes and workplace (multinational/corporate) mentoring programmes. We will do so by engaging closely with our current customers (Dublin City University, Transterra Media) and pipeline customers (University of Warwick, INSEAD, HEC Paris, Harvard Business School and corporate mentoring customers) to develop and capture outcomes using our in-house developed technology for large scale mentorship programmes. 2) The mentor-mentee matching algorithm (based on common skills areas, skills to develop, work experience, education, location and availability), will be developed further and tested to take into account the outcomes of previous mentorships. 3) Prepare a complete Phase 2 business and commercialisation plan, suitable for an SME-Instrument Phase 2 application, including a localisation plan. In phase 2 we plan to localise the content and mobile applications for all key European and international markets, including France, Germany, Italy, Spain, Netherlands, US, Japan and China.

Keywords: mentoring software
A Centre of Excellence in Computational Biomedicine (CompBioMed)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Switzerland,Belgium,France,France,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Centres of Excellence for computing applications (H2020-EINFRA-2015-1, 2015)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 4938216.25
EU funding (EUR): 4938215.75
Participants: 17
Project status: CLOSED

This Centre of Excellence will advance the role of computationally based modelling and simulation within biomedicine. Three related user communities lie at the heart of the CoE: academic, industrial and clinical researchers who all wish to build, develop and extend such capabilities in line with the increasing power of high performance computers. Three distinct exemplar research areas will be pursued: cardiovascular, molecularly-based and neuro-musculoskeletal medicine. Predictive computational biomedicine involves applications that are comprised of multiple components, arranged as far as possible into automated workflows in which data is taken, from an individual patient, processed, and combined into a model which produces predicted health outcomes. Many of the models are multiscale, requiring the coupling of two or more high performance codes. Computational biomedicine holds out the prospect of predicting the effect of personalised medical treatments and interventions ahead of carrying them out, with all the ensuing benefits. Indeed, in some cases, it is already doing so today. The CoE presents a powerful consortium of partners and has an outward facing nature and will actively train, disseminate and engage with these user communities across Europe and beyond. Because this field is new and growing rapidly, it offers numerous innovative opportunities. There are three SMEs and three enterprises within the project, as well as eight associate partners drawn from across the biomedical sector, who are fully aware of the vast potential of HPC in this domain. We shall work with them to advance the exploitation of HPC and will engage closely with medical professionals through our partner hospitals in order to establish modeling and simulation as an integral part of clinical decision making. Our CoE is thus user-driven, integrated, multidisciplinary, and distributed; presenting a vision that is in line with the Work Programme.

Keywords: personalised and precision medicine,multiscale modelling,simulation,high performance computing,community development
Early risk detection and prevention in ageing people by self-administered ICT-supported assessment and a behavioural change intervention delivered by use of smartphones and smartwatches (PreventIT)

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: Italy,Italy,Germany,Italy,Switzerland,Norway,Netherlands,United Kingdom
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: 2019-03-31
Duration (months): 39.0
Total project cost (EUR): 4607950.0
EU funding (EUR): 4000000.0
Participants: 10
Project status: CLOSED

Lifestyle, disease and biology put older people at risk of functional decline, leading to falls, cognitive impairment, frailty, and negative consequences for quality of life. PreventIT will develop and test an ICT based mHealth System (iPAS) for the consumer market that 1) enables early identification of risk of age-related functional decline, and 2) engenders behavioural change in younger older adults in order to adopt a healthy, active lifestyle. We will use an integrated system of a smartphone/watch as frontend technology and a protected cloud-based solution for handling of personal data as backend technology. We will develop online instruments for risk-screening, complexity metrics, motivation for behavioural change, and a method for personalise exercise by phenotype, based on currently available big data sets. The ICT based intervention we develop is unique, delivered on a smartphone/watch with exercise integrated in daily life and a behaviour change programme. We will evaluate the role of technology and behavioural change theories in risk prevention by performing a multinational feasibility RCT to compare with the same intervention without use of technology and with practice as usual. Usability and feasibility will be in focus, and ageing people will be included in all phases of the project. At the end of the project all assessment and intervention components will be integrated into a personalised self-administered activity system, designed to empower ageing people to control their own health and function. A microsimulation health economics model will be developed to predict effects of our risk prevention intervention on carers and the health care system. PreventIT will be performed by a strong interdisciplinary team with previous impact in the field of ageing and ICT, and commercial partners who are strong on technology development and exploitation are included to increase the chances for iPAS to become a first choice mHealth system for the ageing generation.

Keywords: elderly,mhealth,persuasive technology,exercise,risk assessment,risk prevention,physical activity,activity monitoring