Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
THE FUTURE OF FOOD: Disrupting protein production with microalgae (AFactory)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

By 2050, providing food for 10 billion people will become critical. Current protein sources cannot scale up without jeopardizing the environment. French start-up Kyanos has developed a disruptive plant-based protein production technology with no environmental downside. Its unlimited supply potential is in line with the food industry requirements. With unprecedented yields, cost effectiveness and health safety conditions, this industrial process, called "Cyclotrophy" caters for the growing market expectations for healthy, environmentally-friendly products. Cyclotrophy won the Most Novel Protein Process & IT award at the Protein Summit 2018. It boosts the production of microorganisms such as microalgae and eliminates the unpredictability and the contaminants that affect traditional microalgae production. The process relies on smarter, more compact and more efficient production infrastructure and takes 20 times less space for a similar output. A fully functional lab-scale pilot is already running using AFA microalgae (Aphanizomenon flos-aquae). Thanks to a partnership with Altran Group, Kyanos is now about to ramp-up to the industrial scale. The production capacity of the first factory is devised to quickly grow to reach 100 tonnes of AFA microalgae per year by 2023. Kyanos will first target the high-margin dietary supplements market before addressing the massive food-ingredients demand. Drawing on existing distribution channels and health prescription dynamics, the initial product, AFA microalgae powder, will be sold to global health supplements companies. Kyanos will initiate EU distribution from year 2 onwards. In 2023, exports throughout Europe will represent 95% of the production, presumably gaining a 10% market share and inducing up to 110 indirect job creations in France and Europe The objectives of the SMEi1 are: to secure full-scale design for the Cyclotrophy process scale-up; IP, FTO analysis and global market survey to schedule commercialization actions.

Keywords: aquaculture,plant based protein,microalgae,cyclotrophy,food supplement,nutrition,industrial biotechnology,food safety,traceability,algology,eco efficient agriculture
Integrated System Analysis of Urban Vegetation and Agriculture (URBAG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-09-01
End date: 2025-08-31
Duration (months): 72.0
Total project cost (EUR): 1893754.0
EU funding (EUR): 1893754.0
Participants: 1
Project status: SIGNED

This research aims to find out how urban green infrastructures can be most efficient in contributing to urban sustainability. This will evaluate which combinations of urban, peri-urban agriculture and green spaces result in the best performance in terms of local and global environmental impact. For this purpose, I will use novel and comprehensive analysis that will integrate the life cycle impacts of the resources required for green infrastructures with the understanding of how green infrastructures impact the urban atmosphere interaction. This comprehensive approach allows to capture the urban metabolism to optimize the food-energy-water nexus. In previous works, the impacts had been only studied individually. The analysis will consist of 1) A geo-referenced land-use model to optimize urban and peri-urban food production in terms of nutrients, water, and energy, considering urban morphology and determining life cycle impacts 2) A spatially-temporally resolved framework for quantitative analysis and simulation of green infrastructures to determine the direct and indirect effects on the urban and regional atmosphere. The research will be implemented in two selected cities with different profiles, Barcelona and Oslo. The study ambitions to gather substantial quantitative evidence in green infrastructures and sustainability, contributing to cover the existing gap in previous works. This project and the envisaged: Green infrastructures - A Guide for city planners and policy makers, are timely and urgent. Many cities are implementing green infrastructures despite having little quantitative and comprehensive knowledge as to which infrastructure strategies are more effective in promoting food production, air quality and temperature while reducing environmental impact. This intended Guide will contain evidence-based guidance and tools to create green infrastructure strategies; to help to meet sustainability targets, and promote wider and diffused social benefits.

Keywords: life cycle assessment,urban atmosphere,nutrient recovery,circular economy,urban metabolism,green infrastructures,urban,peri urban agriculture,air quality,urban heat island,carbon footprint
Intergroup Contact in Virtual Reality: Comparative Effects of Two Contact Strategies on Reducing Prejudice and Increasing Trust Between Catholics and Protestants in Northern Ireland (contactVIRT)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Intergroup contact is widely recognised among social scientists as a means to overcome prejudice between social groups. However, contact is less likely to occur in highly segregated contexts such as the post-conflict society of Northern Ireland, where Catholics and Protestants grow with relatively scarce contact with members outside their own group. Faced with this scenario, scholars have examined computer-mediated contact with relatively successful outcomes. Although virtual reality (VR) technologies have been less fully explored in this respect, it offers great potential for contact by way of avatar communication in a safe environment. The scarce literature in this area has associated VR interactions with empathy and trust towards outgroups. These effects derive mainly from two strategies: perspective taking (e.g., making users to adopt an outgroup avatar), and recategorisation (e.g., inducing an inclusive-superordinate identity among ingroup/outgroup members). Conversely, the mechanisms by which VR-contact may be effective are less clear as other similar studies have obtained mixed results. A potential confusion in the effects produced by avatar customization (similarity identification, embodiment), and the relevance of the primed superordinate identity (transient or lasting) for group members, seem to affect contact outcomes. This proposal has a primary objective of testing the effectiveness of VR-contact in reducing prejudice and promoting trust between members of the Catholic and Protestant communities in Northern Ireland. Specifically, this research will compare the relative strengths of perspective taking versus recategorisation, evaluate the mechanisms of avatar customization, and advance a research framework of contact in VR environments for successful contact effects. Hence, this research will extend the field by producing theoretical advances in an innovative area which combines communication technologies and intergroup contact.

Keywords: prejudice reduction,contact hypothesis,virtual reality,avatar communication,northern ireland,trust,prosocial behaviour,social identity,perspective taking,embodied presence
Constraining uncertainty of multi decadal climate projections (CONSTRAIN)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Fighting and adapting to climate change
Action type: Research and Innovation actions
Countries involved: Germany,Israel,Austria,Germany,Germany,Switzerland,Sweden,Norway,France,France,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: Addressing knowledge gaps in climate science, in support of IPCC reports (H2020-LC-CLA-2018-2, 2018)
Start date: 2019-07-01
End date: 2023-12-31
Duration (months): 54.0
Total project cost (EUR): 7999803.75
EU funding (EUR): 7999803.75
Participants: 14
Project status: SIGNED

CONSTRAIN will focus research on three climate science knowledge gaps and a policy-facing knowledge gap that can be resolved over the next 4-5 years to significantly improve our understanding of how natural and human factors affect multi-decadal regional climate change. This will cement EU science as the world-leader in understanding climate sensitivity and climate variability, deliver significantly improved capability to make climate projections for the next 20-50 years, and provide up-to-date scientific evidence for international climate policy in two phases: Phase 1 will deliver a timely characterisation of physical science uncertainty and how it affects projections and committed levels of warming to the 2021 IPCC sixth assessment report; Phase 2 will deliver constrained surface temperature projections for the 2023 UNFCCC Global Stocktake. CONSTRAIN will take full advantage of climate model integrations from the sixth Climate Model Intercomparison Project (CMIP6) and will leverage existing H2020 and ERC projects. Novel CMIP6 analyses will be combined with dedicated high resolution simulations and new observations to address identified knowledge gaps on radiative forcing, cloud feedbacks and the relationship between ocean variability and atmospheric change. A fourth identified knowledge gap is the effective translation of new physical science understanding into an improved evidence base for policy decisions. CONSTRAIN will address this by developing climate model emulators that integrate and operationalise learning from across the consortium to provide new capability to assess impacts of climate change under a broad range of emission scenarios. We will focus on the expected spatially resolved decadal changes until mid-century providing robust evidence on climate sensitivity, and regional temperature, precipitation and circulation changes, thereby enabling evidence-based policy decisions that will directly benefit the EU's adaptation and mitigation strategy.

Keywords: climate sensitivity,climate variability,climate modelling,cloud feedbacks,regional climate change,climate mitigation
Resolving the origins of supernovae: constraining progenitors with integral field spectroscopy (SNDTD)

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: Physics
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Supernovae are cornerstone to understand the chemical and dynamical evolution of the Universe, cosmology and fundamental physics. In spite of the great advances achieved during the last decades, key questions remain open. We propose to determine the binary fraction of progenitors of core-collapse supernovae (CC- SNe) and resolve the turn-on time of type Ia supernova (SN Ia) progenitor systems through exploiting unique trove of integral-field spectroscopy (IFS) data and by developing a new spectral synthesis model to resolve stellar age distributions from 10–200 Myr. The proposer team has access to the largest set of IFS available from the most current leading surveys: MaNGA, CALIFA, and AMUSING. We will develop a new Bayesian single stellar population fitting method which will include at the same time information of the ionized gas and UV, to help constrain the youngest stellar populations, and NIR to better disentangle the degeneracy between age and reddening by dust. We will use IFS data of around thousand galaxies and the new method to recover the star formation histories at every single observed position including the SN position, and use the method presented in Maoz et al. (2010) to recover the delay-time distribution (DTD) of both CC SN and SNe Ia and measure: (i) the shape of the late CC SN DTD tail, to check whether populations of 50–200 Myr are typically associated to CCSN locations which would prove the binary progenitor scenario; and (ii) the lower turn-on age of the SN Ia DTD, to determine the age of the youngest stars producing SNeIa. Finally, we will test the role of different star formation histories at SN Ia locations affect their precision as cosmological distance tools. This proposal is for an ambitious, competitive, and accomplishable project that will lead to significant advances in our understanding of supernova progenitors and provide a tool for wide-ranging studies of stellar populations in the new era of IFS data.

Keywords: supernova,environments,progenitor stars
A quantitative, multifunctional, non-invasive and cost-effective food freshness indicator to reduce food waste (ColorSensing)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-11-01
End date: 2019-03-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Every year more than one 1.3 billion tons of food are wasted which is a huge both environmental and economic problem. Food waste happens all along the pathway to the plate and is a massive food supply chain inefficiency. For example inefficiencies occur when the fresh food manufacturers perform destructive quality controls every hour to detect leaks in the packaging, or when the cold chain breaks occur during transit, or when consumer fights against uncertainty by throwing away food. The expiry date is fixed during the packaging through studies of life-time and causes all agents in the food supply chain to lose money and waste resources at some point. Currently, the traceability tools available in the market do not offer information on the real state of freshness and quality of food products. ColorSensing is based on an advanced algorithm able to correct color distorsions of QR codes made of smart inks for sensing parameters inside food packages. Integrating this with digital solutions allows to monitor the freshness of packaged foods and extend their shelf life. Our innovative technology (TRL6) is a quantitative, multifunctional, cost-effective and non-invasive food freshness indicator to reduce food waste. We have received public funds to develop our technology (e.g. €1.5m from the EU ERC program) and been selected to participate in multiple startups accelerator programs such as ENPENTA VII or Innofood. We have created an ecosystem of industrial partners (food manufacturers as Embutits Monells, Barrufet Group and supermarkets as Bonpreu and Condis) that are interested in our technology and are asking us to develop our prototypes up to a market-ready solution. We aim to become the next quality standard in packaged food manufacturing and now we are applying to the SME Instrument Phase 1 to carry out an exhaustive Feasibility Study.

Keywords: food safety,food waste,smart ink tags
An innovative medical device for early diagnosis based on a disruptive body temperature monitoring and analysis scheme-t-Clinic (t-Clinic)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Spain
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2015, 2015)
Start date: 2016-04-01
End date: 2016-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In t-Clinic, a novel medical device will be validated as a new additional tool for early detection and prognosis of a number of pathologies: cancer, sepsis, stroke, diabetes, hypertension, infectious diseases, etc., and for different applications: epidemics, critical care, paediatrics, internal medicine, etc., that are based on subtle changes in the body temperature dynamics, not just in its absolute values (discover hidden information, bring to light undetected trends, find new diagnosis correlations). Body temperature quantification systems are currently the primary choice for standard clinical practice. However, due to the low sensitivity and specificity of these methods, a limited field of action, and null dynamics perspective, patients are often referred for secondary procedures, such as blood cultures, for more detailed diagnosis information. These referrals pose a global challenge that postpone treatment, increase the patient risks, and entail higher costs to the healthcare system (materials, labour requirements). There is a worldwide need to reduce the temporal and economic diagnosis costs to enable faster treatment of conditions and more affordable and sustainable healthcare systems by introducing preventive screenings and monitorings for earlier interventions. Innovatec has developed an advanced non-invasive body temperature monitor capable of long-term accurate thermoregulation assessment that can provide a low cost prompt diagnosis tool that will reduce the need for referrals, and will become an effective tool for body temperature dynamics correlation with disorder onset and progression. This is achieved by means of a precise multi-site body temperature monitoring scheme based on a portable wireless device, a set of clinical temperature probes (skin, tympanic, axillary, etc.), and a number of advanced signal entropy estimation algorithms developed by Innovatec's scientists in the last years, which are our most disruptive competitive advantage.

Keywords: early diagnosis,time series entropy,predictive analysis
The Smart Way to Beat Stress at Work (SOMA)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Germany
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-08-01
End date: 2018-08-31
Duration (months): 25.0
Total project cost (EUR): 2692472.5
EU funding (EUR): 1884730.75
Participants: 1
Project status: CLOSED

The SOMA project will demonstrate a non-obtrusive smartphone-based solution able to detect and manage stress based on the analysis of speech and sleep patterns (Kelaa). The solution prototype now includes a diagnostic module (smartphone sensors use to gather and analyse stress biomarkers), an interventional module (smartphone apps used to reduce stress levels) and an big data analytics module (anonymous data aggregation used to identify specific HR issues such as abnormal stress levels in specific departments). Unlike other smartphone-based solutions targeting individual users, the Kelaa solution is designed to be integrated with standard corporate wellness programmes. The issue of absenteeism and presenteeism is a top priority for HR departments due to increasing work day losses and the Kelaa solution addresses a key trend within corporate wellbeing budgets (€400 per employee per year translating into €10 Bn year per year globally). In 2013, the costs of work-related depression in the EU-27 was estimated to be €617 Bn annually. The Kelaa solution can contribute to cost reductions of 30% for healthcare providers and corporate while improving the wellbeing of employees. Phase 1 already validated the clinical and commercial value of the Kelaa solution: reduction in perceived stress of 14%, an improvement of sleep quality of 13%, overall well-being improvement of 11%, willingness to pay of €65-85 per user per year and estimated savings extrapolated to €400,000 per year for 2000 employees. Phase 2 will conduct a large-scale trial in order to generate additional clinical evidence and fine-tune the solution algorithms and user interface. Strong clinical evidence gathered in this project will ensure the endorsement by national healthcare authorities and large corporates, allowing the Kelaa solution to stand out among other (non-evidence based) stress management solutions. The company aims to generate €24M and 190 jobs by 2023 and develop its IPR portfolio further.

Keywords: psychosocial diseases,stress,burnout,lifestyle management,m health
A novel class of antibiotics for treatment of infected atopic dermatitis: an innovative solution for a significant unmet medical need (ATx201)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Denmark
Call: Supporting innovative SMEs in the healthcare biotechnology sector (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-08-01
End date: 2016-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

AntibioTx is advancing a chemical class of compounds to be approved and used for the first time to treat bacterial infections. The class is based on an easy to synthesize chemical scaffold, which enables broad applicability across topical and systemic indications. AntibioTx discovered that compounds from this class overcome current resistance problems such as methicillin resistant Staphylococcus aureus (MRSA), vancomycin resistant enterococci and resistance towards all topical antibiotics. The class also exhibits extraordinarily strong ability to delay the onset of de novo resistance compared to marketed antibiotics. Finally, the compound class benefits from a proven human safety profile due to decades of safe oral use for non-bacterial purposes. The antibacterial properties of the class are novel and have been patent protected by AntibioTx. ATx201 is a lead candidate from this novel class of antibiotics and has the potential to fundamentally change thel approach to managing dermatological infections by providing an effective topical alternative to systemic treatments. ATx201 is being developed for treatment of infected atopic dermatitis a disease affecting >50 million patients worldwide associated with significant comorbidity. The market for treatment of infected atopic dermatitis is characterized by off-label use of topical and systemic antibiotics. Topical treatment is preferred by physicians; however, antibiotic resistance is rendering the leading topical antibiotics ineffective. As a result patients and physicians are seeking alternative treatments. ATx201 has substantial competitive advantages to current leading topical antibiotics. In particular ATx201 benefits from a wide spectrum of effect and very favourable resistance evolution properties.

Keywords: atopic dermatitis,skin infections,antibiotics,drug resistance,dermatology,healthcare,microbiology,topical medication,bacterial infections