Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Auotmatic Digital Biometry Analysis System for musculoskeletal disorders rehabilitation (ADIBAS)

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: Spain
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-01-01
End date: 2017-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Musculoskeletal disorders affect more than 80% of the world population and are one of the most important causes of disability in elders (e.g. rheumatoid arthritis or osteoporosis). Currently, these anomalies are evaluated by Physiotherapists (PT) that use traditional physical examinations to establish suitable rehabilitation plans. Several support tools have been developed recently to obtain faster and more reliable results. However, these tools are either too expensive and voluminous (i.e. multiple cameras) or insufficiently accurate to perform the necessary body measurements (i.e. wearable sensors). PhysicalTech is a technological company specialized in using computer vision techniques for the analysis of body postures.It has designed and developed ADiBAS, an affordable, compact, fast and flexible system that will get rid of the current systems limitations. ADiBAS uses Microsoft KinectTM to obtain the position of specific body markers in a 3D space, which are then analyzed and presented to the PT through proprietary software. Current prototype is already able to perform a static analysis of a patient's posture and has been validated by several therapists in Spain and France. These early adopters have also asked for some improvements, which will be incorporated in the frame of this project: (i) include dynamic postural analysis, (ii) implement medical protocols to monitor patients over time and (iii) define specific patterns for specific disorders. With ADiBAS, PhysicalTech wants to achieve the following objectives by 2020: • Implement a market strategy to reach new EU and international markets • Obtain 1,24M€ in revenues by selling 150 units and 220 licenses in at least 3 countries (Spain, France and Germany) • Improve the company’s team capabilities by incorporating 6 persons with complementary profiles (technical, business, commercial)

Keywords: computer vision system,physiotherapy,automatic posture analysis,rehabilitation
Highly efficient, solar-powered irrigation pump (sunlight2.0)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Switzerland
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-03-01
End date: 2018-06-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Ennos is a Swiss company founded in 2006 as a spin-off of Berne University of Applied Sciences under the lead of Prof Dr. Andrea Vezzini, who has a long track record in solar energy and motor drive systems. We are an interdisciplinary team of experienced engineers and marketing experts, who have dedicated our efforts to develop and demonstrate sunlight2.0, a second generation of highly efficient, portable solar-powered irrigation pumps targeted for smallholders in isolated rural areas. There are more than 570 million farms in the world, most of them being located in distant rural areas. Out of those farms, about 84% are smaller than 2 ha. Nowadays, bigger crop areas have to be put under irrigation to increase productivity due to a growing population that has to be fed. This implies a growing need for energy and water resources. Besides, 16% of the global population did not have access to electricity in 2016, mainly in rural areas where the majority of smallholders are located. Therefore, smallholder farmers need competitive solutions, economically affordable and efficient and that enable them to increase their profits. sunlight2.0 is a portable and user friendly pump which is highly efficient and affordable to smallholders. sunlight2.0 has almost no maintenance costs and allows farmers to save the cost of diesel or electricity producing zero emissions. During Phase 2 project we expect to increase the efficiency of the pump, reduce weight and optimize production costs compared to our previous sunlight1.0 product. Completion of Phase 2 project and will require €1 million investment, that will provide an estimated ROI of 5.7 by 2025.

Keywords: solar energy,solar powered,irrigation pump,smallholders,rural areas,energy efficiency
STable perovskite solar cells via interfacial engineering of 2D/3D mixed-dimensional Absorbers and Robust dopant-free hole transporting materialS (STARS)

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: Chemistry
Countries involved: Switzerland
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): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

The growth of perovskite in the photovoltaic field is unprecedented. In only a very few years, the power conversion efficiency (PCE) raised from 3.8% (in 2009) to 23.3% (in 2018). However, before bringing PSCs to an industrial scale-up process, major issues need to be addressed, among one of the most concerns the lack of stability against IEC61646 accelerated aging protocol. Improving stability is at the heart of the STARS project. To achieve such an important goal, STARS combines two main approaches: (i) Development of 2D/3D mixed-dimensional perovskites via interfacial engineering and (ii) development of robust dopant-free hole transporting materials (HTM). Fellow’s knowledge of HTM synthesis and device processing will be highly beneficial for Prof. Hagfeldt (host) research activities which are mainly focused on the development of new materials and molecular engineering of interfaces to achieve stability. STARS is designed to expand/broaden fellow’s knowledge towards device aging, crystallography, and photophysics. STARS will add several new dimensions to fellow’s skill set and instill leadership qualities and management skills that will be extremely beneficial for his future career.

Keywords: perovskite solar cells,2d perovskites,hole transporting materials,stable perovskites,fused thiophenes,photovoltaics,ultrafast spectroscopy
Incentivising Technology Adoption for Accelerating Change in ATM (ITACA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Spain,Sweden,Belgium
Call: Accelerating Change in ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-05-01
End date: 2022-10-31
Duration (months): 30.0
Total project cost (EUR): 999937.5
EU funding (EUR): 999937.5
Participants: 4
Project status: CLOSED

The goal of ITACA is to accelerate the development, adoption and deployment of new technologies in ATM. In order to contribute to achieving this general objective, ITACA will develop a new set of methodologies and tools enabling the rigorous and comprehensive assessment of policies and regulations aimed at amplifying the uptake of new technologies within ATM. The specific objectives of the project are: 1. Identify the main drivers and barriers for technological change in ATM and devise a set of policy measures and regulatory changes with the potential to lower such barriers and incentivise faster technology upgrade. 2. Develop an agent-based model of the R&I lifecycle allowing the representation of the complex decisions and interactions between ATM stakeholders and their impact on the development and implementation of new technologies. 3. Validate the behavioural assumptions of the agent-based model through a set of participatory simulation experiments involving the direct participation of ATM stakeholders. 4. Demonstrate and evaluate the potential of the newly developed methods and tools through a set of policy assessment exercises that will analyse the impact of a variety of policies and regulatory changes aimed at accelerating technology change in ATM, with particular focus on the distributional effects of the proposed policies across ATM stakeholders and society at large. 5. Consolidate the methods, tools and lessons learnt delivered by the project into a coherent policy assessment framework and a set of policy recommendations, and provide guidelines for the future maintenance, evolution and use of the proposed framework.

Keywords: innovation,technology adoption,agent based modelling,gaming,participatory simulations,policy assessment
Possible Life: The Philosophical Significance of Extending Biology (LIFEMODE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Austria
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-06-01
End date: 2024-05-31
Duration (months): 60.0
Total project cost (EUR): 1999566.0
EU funding (EUR): 1999566.0
Participants: 1
Project status: SIGNED

Possible Life: The Philosophical Significance of Extending Biology Due to the latest technological advances in genetic engineering and space technology, scientists have developed strategies to engineer novel biological systems in laboratories, and to study through space telescopes the signs of possible life from other planets and solar systems. These newly discovered biological possibilities may turn out to be epoch-making. Apart from challenging our notion of life, they also have fundamental philosophical implications. The very question motivating the project is: How is biology being extended beyond the actual evolved life on Earth – and what is the philosophical significance of the turn to possible life? This question is studied through a two-pronged approach that puts scientific practice into a dialogue with philosophy of science and naturalistic metaphysics. First, the project examines the emerging fields of synthetic biology and astrobiology. The key themes studied include unnatural biochemical bases and organizational principles of life, synthetic life, evolutionary possibilities and constraints, and the habitability of exoplanets. Empirical studies in six leading laboratories in Europe and the US are used to inform the study of these themes. Second, the research on possible life is employed as a resource for the development of philosophical theory. The three philosophical subprojects examine (i) modelling and simulating the possible, (ii) multiple realizability of biological kinds, and (iii) contingency and necessity in biology. The project will advance our understanding of the modal dimension of science by addressing a paramount case – life. The project draws together and develops diverse strands in theorizing of the possible within philosophy of science and metaphysics. Through an unconventional combination of philosophical and empirical analysis the project seeks to facilitate the application of metaphysical concepts to cutting-edge scientific research.

Keywords: life,possibility,models,multiple realizability,modalities
Challenging Problems in Infinite-State Systems (INFSYS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Poland
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-03-01
End date: 2026-02-28
Duration (months): 60.0
Total project cost (EUR): 1340406.0
EU funding (EUR): 1340406.0
Participants: 1
Project status: SIGNED

Investigation of infinite state systems is an active field since the early days of computer science. Despite of decades of research the most fundamental questions are not understood well even for basic models using only counters or a stack. The aim of the project is to provide solutions of the most challenging problems in the area. The goals of the project are grouped in three tasks: - The first goal in concerned with the reachability problem in Petri nets or Vector Addition Systems (VASes), a classical problem of fundamental importance. Recently, in a breakthrough paper (awarded the Best Paper Award at STOC 2019) with co-authors we have improved the lower bound for this problem from \expspace to \tower-hardness. The main goal of this task is to establish exact complexity of the reachability problem. - The second task focuses on separability problems, which ask about existence of simple classifiers. The first main goal in this task is to prove decidability of an important problem of regular separability for languages of VASes, i.e. the question whether for two given VAS languages there is a regular language including one of them and disjoint from the other one. Second main goal is to solve the word separating problem, namely to decide whether for each two words of length $n$ there exists a DFA with logarithmic number of states recognizing exactly one of them. - Without doubt the role of nondeterminism is a key question in theoretical computer science. The goal of this task is to study the related notion of unambiguity, which has very interesting properties, but is much less understood. My plan is to study unambiguity in simple models. The main goal here is to understand the complexity of the universality problem of unambiguous variants of finite automata and their extensions.

Keywords: infinite state systems,petri nets,vector addition systems,reachability problem,separability problem,unambiguous systems
CHARM: From CO2 to Hydrocarbons in A circular bioelectRo- and photo-cheMical system (CHARM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-08-01
End date: 2023-07-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: CLOSED

The transport sector is one of the largest and fastest growing energy consumers, and one of the most difficult sectors to decarbonize. Although there are projections of a rapid increase in low-power electric vehicles, there is still uncertainty in decarbonising high-power transport vehicles (ships and long-haul trucks). The European Union has committed to achieving at least 27% renewable energy share of gross energy consumption by 2030. A practical implementation is to produce advanced biofuels using bio-based technologies e.g. bio/electro/photo catalysis. These technologies can be used either alone or in a combined way to produce desired products e.g. hydrogen, methane, carboxylic acids, and hydrocarbons. Among these options, hydrocarbons are advantageous due to their versatile use and valorisation opportunities. However, current conversion technologies pose significant challenges: (1) whole cell fermentation is vulnerable to many factors (e.g. products inhibition), whist a wide range of by-products may be produced due to diverse pathways; and (2) traditional linear conversion processes have limited sustainability. To tackle these issues, I propose a two-year fellowship (CHARM) based on the Biocatalysis group led by Prof Hollmann in TU Delft. CHARM proposes a novel bio-based circular approach to enable production of light-weight hydrocarbons from both biomass and CO2 by integrating microbial fermentation, bioelectrochemical synthesis and bio-photocatalysis. CHARM will explore production of caproic acid as a platform chemical and its bio-photocatalytic conversion to value added C5 hydrocarbon (i.e. from CO2 to C5H12), whilst fulfilling CO2 recycle. Through this fellowship, I will reach a level of maturity on not only several scientific aspects but also on managerial and industrial aspects that will provide me new career opportunities. The completion of CHARM will contribute to establishing me as a leading researcher in biofuels/bioenergy.

Keywords: biocatalysis,fermentation,co2 conversion,hydrocarbon,biofuel
Combining Machine Learning and Quantum Chemistry for the Design of Homogeneous Catalysts (ML4Catalysis)

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: Chemistry
Countries involved: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 214158.72
EU funding (EUR): 214158.72
Participants: 1
Project status: SIGNED

While machine learning (ML) methods are already commonly applied in heterogeneous catalysis, the use of such methods for the design of homogeneous catalysts is a largely overlooked field. A recent proof-of-principle study showed the huge potential of ML in homogeneous catalysis by demonstrating that activation barriers in a set of related transition metal (TM) complexes can be learned. ML4Catalysis has three objectives that go far beyond this state of the art: 1) Automation of quantum chemistry (QC) calculations by combining different existing computational tools in a unified framework, with the goal to create powerful high-level computational workflows in a synergistic way. 2) Going beyond the accuracy of density-functional theory (DFT), which is often inaccurate for systems with multireference (MR) character like TM complexes. To this end, we will develop an ML method that is trained to predict the difference between energies at the DFT level and at a more accurate multireference level. 3) A pool of entirely novel catalysts for a given reaction will be generated by using a variational autoencoder (VAE) architecture. A Gaussian Process (GP) model trained to predict key activation barriers on a subset of these complexes will be used to screen the remaining set for the most promising candidates. This approach will be applied to find novel CO2 hydrogenation catalysts, which are important for the creation of fuels and feedstock chemicals from natural resources. With its focus on catalysis and modern QC and ML methods, ML4Catalysis is highly relevant for two of the European Commission’s current priorities: “A European Green Deal” and “A Europe fit for the digital age”. The interdisciplinary project combines knowledge of the researcher on modern MR methods and the electronic structure of TM complexes with the expertise in automation, ML, and homogeneous catalysis at the host institution and will leave the researcher well-prepared for an independent career.
Magnetic micromachines based on protocell design and engineering (MagProtoCell)

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: Chemistry
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-05-01
End date: 2017-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Protocells are artificial cellular systems exhibiting lifelike properties, which are proposed as a stepping-stone for understanding the origin of life on Earth. Features such as encapsulation, replication, metabolism and selective exchange of chemicals with the environment will enable their use as micromachines in a number of emerging applications (e.g., environment clean-up, clinical diagnosis, drug delivery, remote sensing, bioreactor technology). However, progress in such applications will be enhanced by the synthetic construction of protocells capable of directed movement in fluidic environments in response to external stimuli. To date, motility has been achieved only in a few cases, which involve a response to changes in chemical concentrations (chemotaxis) in the surrounding medium. However, controlling the chemical composition of the local environment is challenging, and thus alternative ways to stimulate motility are needed. In this regard, external magnetic fields (MFs) will enable high levels of control of protocell motility and spatial disposition to be achieved by employing noncontact forces. This is the aim of this proposal: to design and construct synthetic protocells able to sense and respond to external MFs. A key outcome of the work will be the development of a new class of magnetic micromachines based on protocell design and engineering. Such machines will couple MF-directed motility with the temporal and spatial delivery of advanced biomimetic functions. The key factor of the proposed methodology is the inclusion of colloidal magnetic particles at strategic locations in the protocell composition or in the external medium. Thereby, the expertise of the applicant (Dr. Rodríguez Arco) in the field of MF-responsive materials will be applied to the multidisciplinary and cutting-edge field of protocells in which the hosting group at the University of Bristol (under the leadership of Prof. Mann FRS) has made great progress in the last few years.

Keywords: protocell,magnetic particles,magnetic fields