Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
LATIPP: An innovative cloud based Business management system for SMEs in the HORECA sector (LATIPP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2015, 2015)
Start date: 2016-03-01
End date: 2016-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The enterprises of the HORECA sector still have serious difficulties when it comes to managing their resources, which in turn leads to a high risk economic activity which ultimately depends on the knowledge and skills of each companies responsible. LATIPP is a unique integrated solution providing a comprehensive Business management system materialized in a multi device sales point tool for businesses in the HORECA sector, which can be used through their existing IT assets. LATIPP is aimed at facilitating, improving and expanding in an integrated way the daily management tasks of any business in the HORECA sector in a simple all-in-one comprehensive system, with multi-device compatibility and real-time monitoring via the cloud, by allowing efficient stock provision between supplier and establishment. LATIPP has been developed for restaurants, bars, coffee shops, etc., (constituting to the 68% of the total value-added of the EU HORECA sector), established in Spain, Germany and Belgium, where we have already experience, Italy, UK and France, the most important markets in the EU sector. Through a market analysis we aim to gain deeper knowledge into the key European and international markets in order to identify a)the main actors and suppliers in the HORECA sector supply chain with whom alliances can be built, and b)the size, scale and potential of the market for HORECA sector business who would use the platform for ordering. The intention of Phase-1 of the project is to deliver a strong business plan and apply for phase-2 of the SME instrument. LATIPP aims to support SMEs to modernize through the use of state-of-the-art ICT and reach new markets, achieving the integration of digital infrastructure, hardware and software, applications and data, and digitisation of the supply chain in order to maintain and enhance the EU HORECA sector´s competitiveness, by exploiting the exciting new opportunities of cloud computing for both producers and consumers of digital content.

Keywords: business management system,multi device cloud based pos system,vertical communication tool
Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers (LONGPOP)

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: Social Sciences and Humanities
Countries involved: Italy,Spain,Spain,Switzerland,Belgium,Sweden,Netherlands,Netherlands,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2016-02-01
End date: 2020-07-31
Duration (months): 54.0
Total project cost (EUR): 3860731.44
EU funding (EUR): 3860731.44
Participants: 10
Project status: CLOSED

European societies face rapid social changes, challenges and benefits, which can be studied with traditional tools of analysis, but with serious limitations. This rapid transformation covers changes in family forms, fertility, the decline of mortality and increase of longevity, and periods of economic and social instability. Owing to population ageing across Europe, countries are now the experiencing the impact of these rapid changes on the sustainability of their welfare systems. At the same time, the use of the space and residential mobility has become a key topic, with migrations within the EU countries and from outside Europe being at the center of the political agenda. Over the past decade research teams across Europe have been involved in the development and construction of longitudinal population registers and large research databases, while opening up avenues for new linkages between different data sources (ie administrative and health data) making possible to gain an understanding of these fast societal transformations. However, in order to work with these types of datasets requires advanced skills in both data management and statistical techniques. LONGPOP aims to create network to utilize these different research teams to share experiences, construct joint research, create a training track for specialist in the field and increase the number of users of these large – possibly underused - databases, making more scientists and stakeholders aware of the richness in the databases.

Keywords: demography,epidemiology,longitudinal,event history analysis,quantitative methods,public health,history
Fluid Flows and Irregular Transport (FLIRT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-06-01
End date: 2022-05-31
Duration (months): 72.0
Total project cost (EUR): 1009351.0
EU funding (EUR): 1009351.0
Participants: 1
Project status: CLOSED

Several important partial differential equations (PDEs) arising in the mathematical description of physical phenomena exhibit transport features: physical quantities are advected by velocity fields that drive the dynamics of the system. This is the case for instance for the Euler equation of fluid dynamics, for conservation laws, and for kinetic equations. An ubiquitous feature of these phenomena is their intrinsic lack of regularity. From the mathematical point of view this stems from the nonlinearity and/or nonlocality of the PDEs. Moreover, the lack of regularity also encodes actual properties of the underlying physical systems: conservation laws develop shocks (discontinuities that propagate in time), solutions to the Euler equation exhibit rough and "disordered" behaviors. This irregularity is the major difficulty in the mathematical analysis of such problems, since it prevents the use of many standard methods, foremost the classical (and powerful) theory of characteristics. For these reasons, the study in a non smooth setting of transport and continuity equations, and of flows of ordinary differential equations, is a fundamental tool to approach challenging important questions concerning these PDEs. This project aims at establishing: (1) deep insight into the structure of solutions of nonlinear PDEs, in particular the Euler equation and multidimensional systems of conservation laws, (2) rigorous bounds for mixing phenomena in fluid flows, phenomena for which giving a precise mathematical formulation is extremely challenging. The unifying factor of this proposal is that the analysis will rely on major advances in the theory of flows of ordinary differential equations in a non smooth setting, thus providing a robust formulation via characteristics for the PDEs under consideration. The guiding thread is the crucial role of geometric measure theory techniques, which are extremely efficient to describe and investigate irregular phenomena.

Keywords: transport and continuity equations,ordinary differential equations with non smooth velocities,geometric measure theory,bv functions,conservation laws,euler equations,mixing of fluids
Quantum Particles on Programmable Complex Reconfigurable Networks (QuPoPCoRN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-07-01
End date: 2023-06-30
Duration (months): 72.0
Total project cost (EUR): 1963750.0
EU funding (EUR): 1963750.0
Participants: 1
Project status: SIGNED

Understanding the complex interactions and dynamics of multiple quantum particles within large networks is an extremely challenging task, but doing so reveals the underlying structure of an enormously diverse range of phenomena. Therefore, a reliable platform to investigate complex quantum network dynamics, which incorporates the rich interplay between noise, coherence and nonclassical correlations, will be an extremely powerful tool. Classical optical networks have been widely used to simulate a broad range of propagation phenomena across many disparate areas of physics, chemistry and biology, based on coherent interference of waves. At the quantum level, the quantized nature of light – the existence of photons – gives rise to bosonic interference effects that are completely counter-intuitive. Yet, to date, quantum network experiments remain very limited in terms of the number of photons, reconfigurability and, most importantly, network size. Here, we propose time-multiplexed optical networks, in combination with tailored multi-photon states as a new platform for large-scale quantum networks. Our approach allows us to emulate multi-particle dynamics on complex structures, specifically the role of bosonic interference, correlations and entanglement. To achieve large networks sizes, we will develop novel decoherence mitigation strategies: programmable noise, topologically protected quantum states and perpetual entanglement distillation. This approach will blend ideas from solid state physics, random media and quantum information and communication in order to pursue the following three objectives: 1. Demonstrate noise-assisted entanglement distribution 2. Demonstrate nonclassical states on topological structures 3. Demonstrate perpetual distillation of entanglement within a network These objectives target the overall goal to understand the role of multi-particle quantum physics in complex, large-scale structures harnessing time-multiplexed photonic networks.

Keywords: quantum networks,quantum simulation,transport in topological structures,nonclassical correlations and entanglement,quantum communication,quantum walks,quantum noise,integrated quantum optics
Home use, affordable and lightweight exoskeleton for people with lower-limb paralysis (ABLE)

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: 2019-03-01
End date: 2019-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

People with lower-limb paralysis could walk again if they had a robotic exoskeleton to restore the leg movements affected by the injury. However, current devices are expensive (cost about 100 k€), heavy and require trained professional supervision. Therefore, they are only found in large hospitals and rehabilitation centers, and are out of the reach of the patient. ABLE Human Motion is a medical device spin-off from Universitat Politècnica de Catalunya (UPC) that is developing and will commercialize robotic exoskeletons to enhance their mobility and independence. ABLE’s vision is to build a world where everybody has the possibility to move independently, with that aim we plan the launch of ABLE: the first home use, affordable and lightweight exoskeleton that restores the ability to walk of people with lower-limb paralysis in a natural and intuitive way. It is based on an electric actuator that flexes and extends the leg mimicking human natural movement, and an inertial sensor that together with dedicated algorithms detects the user’s intention to make the step forward. This patented and disruptive system to assist walking helps palliating health issues caused by sedentary lifestyle while boosting self-confidence and independence. So far our newly established company has been awarded as an innovative technology to improve healthcare by CaixaImpulse and EIT Health. We have been selected among the 5 most promising medtech start-ups by MassMEDIC (Boston, USA). The team has also won the acceleration programs organized by Richi Foundation and CIMIT, the most successful health accelerator in the world. This has allowed us to validate the product-market fit with more than 150 stakeholders, establishing a viable business model and a go-to-market plan. The project is currently at Technology Readiness Level (TRL) between 6 and 7, and should reach TRL9 within an 18-month timeframe.

Keywords: exoskeleton,neurorehabilitation,human walking,lower limb paralysis,healthcare,assistive robotic technology,user focused,biomechatronics,medtech
TIMING FERTILIY- A Comparative Analysis of Time Constructions and the Social Practice of Egg-Freezing in Germany and Israel (TIMEGG)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-02-01
End date: 2020-01-31
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

Technological advancements in reproductive medicine have introduced the new concept of "FREEZING". Nowadays, healthy women are given the possibility to cryopreserve their oocytes in order to prolong their fertility, a procedure known as "social egg freezing". There is an ongoing bioethical academic and public debate on the social and ethical implications of this practice. The here proposed socio-empirical research is interested in extending our understanding of the concept of "freezing" in broader contexts, while analyzing it through the prism of 'sociology of time'. Egg freezing constitutes an extremely fascinating paradigm for studying concepts of time, timing, planning and its social-technological manipulation related to modern life science. In line with the IF work program's focus on creativity, innovation and diversity, this research aims to examine the interplay of culture and bioethics in an interdisciplinary and empirical manner, focusing on and comparing experts' and lay positions and using a cross-cultural German-Israeli comparative research framework. This cross-cultural comparison is especially interesting since the German regulatory and legal framework regarding new reproductive technologies is rather restrictive, while the Israeli regulation has been identified as extremely permissive. Using qualitative in depth interviews with relevant experts as well as users of social egg freeing, this research aims at (a) In-depth empirical analysis of time in the context of reproductive medicine; (b) A cross sectional analysis of social egg freezing by comparing two national contexts as well as experts and ordinary (lay) ethics; and (c) Theorization of the time dimension for the relationship of reproduction, labor and gender. Thus, this innovative research is expected to enhance the researcher academic competence and the transfer of new knowledge.

Keywords: social egg freezing,empirical bioethics,sociology of time,experts positions,lay moralities,time,timing,reproductive planning,gender,labor market,germany,israel
THE ORGANIC FERTILISER FOR GENUINE, HIGH YIELD PESTICIDE AND CHEMICAL-FREE ORGANIC FARMING (BIOTA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Chemical fertilisers are still widely used in Europe and across the world despite growing global demand for organic food. The damage caused by chemical fertilisers is often long-term and cumulative - they have a profound negative impact on soil quality while the manufacturing process significantly contributes to climate change. Chemical fertilizers are generally preferred for high-volume, industrial farms in Europe. Many organic and bio-fertilisers are inferior to chemical fertilisers where it matters most: improving yields and cost efficiency. A €5-€10 billion opportunity exists for an organic fertilizer that can address these issues. With a patented, all-natural manufacturing process, Biota will disrupt the farming industry with an organic fertilizer adapted to all types of farming. Our fertiliser products stimulate plant growth and reinforces disease resistance which eliminates the need for pesticides and other chemical crop protection products. While guaranteeing equal or superior yields to chemical fertilisers, our novel organic method goes a step further than current organic fertilisers by being highly customisable. Biota Nutri BV is a Dutch producer of organic fertilizers founded in 2017, who aims to make organic and healthy vegetables affordable and available to everybody though manufacturing organic liquid fertilizers. We estimated that after 5 years of exploitation, we will achieve €15M in sales and €7M in profit with an ROI of 640%.

Keywords: bio fertilizers,organic fertilizers,organic growing,soil health,soil,fertilizers
Developing tools for the PREDICTion, at individual level, of the CArdiometabolic REsponse to the consumption of dietary (poly)phenols (PREDICT-CARE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 2309518.0
EU funding (EUR): 2309518.0
Participants: 1
Project status: SIGNED

The increased burden of cardiometabolic diseases is a major societal challenge worldwide. Plant-based diets, rich in bioactive compounds such as (poly)phenols, may promote cardiometabolic health. However, the preventive effects of these bioactives depend on the individual capacity to produce, and respond to, (poly)phenol metabolites. This heterogeneity in the individual response to the consumption of (poly)phenols is the main hindrance to exploit their potential for the prevention of cardiometabolic diseases through effective dietary strategies. I aim to implement integrative tools for the prediction, at individual level, of the cardiometabolic response to the consumption of dietary (poly)phenols, taking into account inter-individual differences in both metabolism and health effects of these plant food bioactives. My vision is understanding the determinants leading to individual variability in the production of phenolic metabolites and driving cardiometabolic responsiveness to (poly)phenol consumption. I will be identifying comprehensive metabolic phenotypes (metabotypes) for main dietary (poly)phenols and the factors associated with their formation. Then, I will demonstrate the association between phenolic metabotypes and cardiometabolic health. Last, I will develop an integrative, high-throughput platform to identify phenolic metabotypes and to predict cardiometabolic responses to the consumption of dietary (poly)phenols considering individual’s makeup. PREDICT-CARE will develop new concepts, new methodologies and a new analytical platform. It relies on the integration of factors determining inter-individual variability, the deployment of translatable nutrition interventions, and the application of predictive modelling. PREDICT-CARE will lead to long-lasting breakthroughs and will build a new scenario in preventive, evidence-based, personalised nutrition strategies with these major dietary plant bioactives.

Keywords: polyphenol,phenolic metabolite,metabotype,inter individual variability,plant bioactive,personalised nutrition,bioavailability,cardiometabolic health,nutritional intervention
Deep Bias: Examining the Cognitive and Physiological Underpinnings of Intergroup Prejudice (DeepBias)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: CLOSED

Intergroup prejudice gives rise to some of the darkest aspects of human behavior, including discrimination, violence, and inequality. In recent years, the harmful repercussions of intergroup prejudice have become increasingly evident, with the global rise of populist, far-right political movements centered largely on the exclusion of ethnic and religious minority groups. But what factors shape an individual’s degree of prejudice, and why do some people generally tend to develop greater animosity toward social outgroups? The state-of-the-art typically explains individual differences in prejudice via complex attitudinal and motivational factors (e.g., political conservatism, need for closure). However, the deeper cognitive and physiological underpinnings of prejudice remain largely unexplored. This gap in our theoretical understanding also has important practical implications: recent analyses suggest that most prejudice-reduction interventions – based on the current leading theoretical perspectives – have little or no effect, and can at times even increase prejudice. Taken together, these trends reveal that there is a pressing need for research that can provide a deeper understanding of the sources of prejudice, to fill this theoretical gap and help develop effective prejudice-reduction interventions and other means of countering bias. In this Marie Skłodowska-Curie Action, called “DeepBias,” I take a fundamentally different approach to the study of intergroup prejudice, examining how individual differences in implicit (i.e., nonconscious, uncontrollable) sensitivity to threat shape an individual’s prejudice. In this work – building on recent pilot data I have collected in preparation for this MSCA – I utilize cutting-edge cognitive and physiological measures to advadvance our understanding of the sources of individual differences in prejudice beyond abstract beliefs and motivations to identify the lower-level biological and psychological sources of prejudice.

Keywords: prejudice,social cognition,physiology,implicit attitudes