Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Analysing the role of history, chance and selection on the evolution of plasmid-mediated antibiotic resistance (REPLAY)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-10-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Antimicrobial resistance (AMR) in bacteria is one of the main challenges faced by modern medicine and understanding its evolution is urgently required. As any other evolved trait, three fundamental evolutionary forces guide the evolution of AMR: history, chance and selection. The specific role of each force determines whether, by what mechanism, and to what degree AMR evolves in a given population. Horizontal gene transfer is the main route for acquisition of AMR in bacterial pathogens and plasmids play a key role in the spread of resistant determinants. Of critical clinical importance is plasmid-mediated carbapenem-resistance in the Enterobacteriaceae family. The recurrent isolation of certain successful plasmid/bacterium associations in hospitals distributed worldwide is an example of how history and chance constrain the emergence of AMR. For example, pOXA-48 plasmid, encoding the OXA-48 carbapenemase, is frequently associated with the ST11 serotype of Klebsiella in hospitals around the world. Why is pOXA-48 restricted to a handful of clones if it can be mobilized to all K. pneumoniae serotypes? To answer this question, I am proposing a novel project that will analyze the impact of the three evolutionary forces in the evolution of plasmid-mediated AMR in clinical strains of K. pneumoniae. First, using experimental evolution and whole genome sequencing, I will quantitatively analyze the impact of each evolutionary force in AMR evolution. Also, I will study the adaptive mutational pathways leading to the compensation of plasmid-mediated costs. Then, I will use the novel high-throughput genetic screen CRISPRi, which allows silencing the expression of all chromosomal and plasmid genes one by one, to analyze the molecular basis determining the successful plasmid/bacterium associations. Altogether this cutting-edge proposal will greatly impact our ability to predict AMR evolution, paving the way for the development new intervention strategies to counteract AMR.

Keywords: evolution of antibiotic resistance mediated by plasmids experimental evolution and whole genome sequencing crispri interference
On CHip terahertz frequency Combs (CHIC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-03-01
End date: 2022-08-31
Duration (months): 66.0
Total project cost (EUR): 1999055.0
EU funding (EUR): 1999055.0
Participants: 1
Project status: CLOSED

The terahertz (THz) portion of the electromagnetic spectrum is the junction between optics and electronics. THz is a gate to sensing applications and spectroscopy as well as appealing for material inspection, non-invasive imaging for safety and medical applications and short-range high data rate wireless communication which are being extended to higher frequencies entering the THz range. Optical frequency combs have dominated the scene of laser physics in the last 10 years revolutionizing many fields of optics from metrology to high precision spectroscopy. Optical frequency combs act as rulers in the frequency domain and are characterized by their perfectly equally spaced and coherent modes. An extremely appealing application of optical frequency combs is the so-called dual-comb spectroscopy where multi-heterodyne detection is performed allowing Fourier transform spectroscopy with high resolution, high sensitivity and no moving parts. The objective of this proposal is to create on-chip, self-referenced frequency combs operating in the spectral region from 1.5-5-5 THz. Two main approaches will be followed: direct generation with THz QC lasers (cryogenically cooled) and room temperature non-linear generation by means of Mid-IR QCL combs. Such devices will be groundbreaking since they will allow high resolution THz spectroscopy and they will pave the way to high-rate local data transmission and coherent communication. We recently demonstrated octave spanning lasing from a THz QCL: this will constitute the foundation of our efforts. The developed combs will be implemented in the extremely powerful dual-comb scheme with innovative on-chip self-stabilization and detection of the multi-heterodyne signals. The self-referencing and the independence from an external detector makes the proposed devices disruptive due to their extreme compactness, intrinsic stability and large bandwidth.

Keywords: frequency combs,spectroscopy,telecommunications
Development of Circadian Rhythms on Chip (CircaCHIP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Israel
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2018-06-01
End date: 2019-11-30
Duration (months): 18.0
Total project cost (EUR): 149969.0
EU funding (EUR): 149969.0
Participants: 1
Project status: CLOSED

The liver is responsible for the systemic regulation of human metabolism, responding to a dynamically changing hormonal and nutritional environment. These physiological dynamics limited our ability to model human metabolism in our efforts to create efficient pharmaceutical interventions for prevalent metabolic diseases, such as fatty liver disease, obesity, and type-2 diabetes. In addition, physiological dynamics impact the pharmacokinetics and toxicity of drugs due to circadian changes in drug metabolism, affecting our ability to formulate efficient pharmaceutical interventions or properly assess drug toxicity (i.e. Chronopharmacology). The problem stems from our inability to model the dynamics of human metabolism in vitro, and compounded by the failure of animal models to predict human response due to differences in physiology, metabolic regulation, and an inverted day/night cycles. In addition, in vitro hepatocytes show little to no metabolic function and lack the physiological complexity of human tissue. Therefore, there is a pressing need to develop models that mimic human physiological complexity. Recently, we established groundbreaking libraries of expandable human hepatocytes (Levy et al. Nature Biotechnology 2015) and a cutting-edge liver-on-chip platform that tracks metabolic dynamics in real time (Bavli et al. PNAS 2016). Our technology explained the idiopathic toxicity of acetaminophen and the idiosyncratic toxicity of troglitazone and was recently highlighted by the H2020 program. Here, we describe the development of a novel platform that captures the synchronization of circadian rhythms in self-assembled human micro-livers by microfluidic oscillations of temperature and hormones. Our next generation model for liver metabolism will present a quantum leap in capability, offering to go beyond animal models by predicting time-of-day dependent toxicity and drug clearance. In addition, we will enable the rational design of a new generation of pharmaceuticals

Keywords: in vitro toxicology,microfluidics,human on chip,liver biology,drug metabolism
A decision tool for Liver Transplantation based on molecular signature (HepatoPredict)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Portugal
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Hepatocellular carcinoma (HCC) is a leading cause of cancer related mortality world-wide. The best curative treatment option is liver transplantation. The need for liver transplants for HCC by far exceeds the number of available organs, so stringent selection criteria are of paramount importance in order to ensure that the best candidates are selected for the procedure. So far, clinicians have to rely only on clinical variables to select transplant candidates for liver transplantation. The current criteria used (MILAN criteria) limits transplant to patients within specific parameters as tumour number and diameter, clearly related to disease and tumour biological behavior, but can only act as surrogate markers of tumour stage and biology. Hence, it is not possible to predict which patients outside the Milan criteria that would have a favourable prognosis. On this background, it is of outmost importance to gain access to better predictive tools that can provide decision support in selection for these patients. In response to this challenge, Ophiomics has developed a powerful predictive tool (HepatoPredict) based on molecular signature and clinical parameters, rather than only clinical variables. We can predict the good outcome of the intervention with a successful-curative rate of 82%, improving the Milan criteria one (67%). Unsuccessful liver transplantation will be avoided and, as a consequence, better survival rate and more saved lives will be achieved. Upon 5 years after the completion of the project, HepatoPredict will boost the growth of our company generating additional 15 FTEs and a ROI of 10.49. With the help of SME instrument, Ophiomics aims to complete the clinical validation and product optimization so that it can be commercialized across European markets first, and global markets later on, improving the quality of care of healthcare systems worldwide as well as the HCC patient´s quality of life.

Keywords: transplant,liver,biomarkers,molecular signature,algorithm
NUclear reactions at RINGs (NU-RING)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-01
End date: 2021-05-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

Neutron-induced cross sections of short lived nuclei are key quantities in many domains, such as fundamental nuclear physics, astrophysics and applications in nuclear technology. However, the difficulties to produce and manipulate the necessary amounts of radioactive nuclei make the measurement of such cross sections with current techniques extremely difficult or even impossible. Surrogate reactions in inverse kinematics represent the most promising indirect approach to determine these cross sections: The excited nucleus of interest is produced by a different reaction than the neutron-induced reaction. The measured decay probabilities strongly constrain model parameters enabling accurate predictions of the desired neutron cross section. We propose to combine surrogate reactions with the unique possibilities at ion storage rings, which are high-precision tools to study nuclear reactions in inverse kinematics with radioactive ion beams. The advantages range from greatly improved beam properties over the absence of target contaminants and backings, and a strong reduction of the straggling, thanks to the use of pure, windowless and ultra-thin targets. However, the demanding vacuum conditions of storage rings put severe constraints on the detection setup. In addition, it is necessary to validate this completely new methodology by comparing first results with good-quality data measured in direct kinematics. Still, there is a lack of direct-kinematics data that can be used as benchmark. We propose to perform simulations to define the set-up for the first surrogate-reaction measurements at the storage rings of the GSI facility. We will also investigate innovative solutions to overcome the vacuum issues like the use of solar cells. Finally, we will measure the 208Pb(d,d’) reaction in direct kinematics, which is one of the best suited cases to be used as benchmark. With Nu-Ring we will set the basis to establish a cutting-edge technology for the study of surrogate reactions.

Keywords: nuclear physics,neutron induced reactions,surrogate reactions,inverse kinematics,direct kinematics,storage rings,solar cells
Designing the Service to Improve the Investor Readiness of Start-ups (InReady)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Italy,Greece,Lithuania
Call: Supporting experimentation in innovation agencies (H2020-INNOSUP-2018-06-two-stage, 2018)
Start date: 2019-09-01
End date: 2021-02-28
Duration (months): 18.0
Total project cost (EUR): 60000.0
EU funding (EUR): 60000.0
Participants: 3
Project status: CLOSED

The one of the main challenges for the start-ups is the lack of funding for their business ideas. And this situation forces them to seek funding from private sources and especially venture capital (VC) funds. Thus, start-ups seek to participate in Business to Investor (B2I) matchmaking events where they can meet investors and have the opportunity to present their business ideas and attract funding for their company through great presentation (“pitching”). Since the competition is very high, companies must prepare exhaustively their presence in such meetings. Start-ups tend to forget to present the important parts of the Executive summary, the presentation is missing crucial data, “elevator pitch” focuses on the wrong matters. Moreover, they need guidance from experienced consultants on how to present themselves better. To assist the start-ups, project partners aim to design a new service to facilitate investment readiness utilizing a new webtool for checking the company’s readiness and proposing an action plan for improvements.

Keywords: investor readiness,start ups,innovation support,web tool,venture capital,pitch
European Contest for Young Scientists 2019 (EUCYS2019)

Framework: Horizon 2020 — Science with and for Society
Programme: Make scientific and technological careers attractive to young students, and forster sustainable interaction between schools, research institutions, industry and civil society organisations
Action type: Coordination and support actions
Countries involved: Bulgaria
Call: European Union Contest for Young Scientists (EUCYS) 2019 (H2020-IBA-SWFS-EUCYS-2019, 2019)
Start date: 2019-06-01
End date: 2020-01-31
Duration (months): 8.0
Total project cost (EUR): 1001250.0
EU funding (EUR): 800000.0
Participants: 2
Project status: CLOSED

The European Union Contest for Young Scientists (EUCYS) has been organized since 1989 with the aim of promoting science and research among Europe's youth and bringing together the talented youth of Europe to meet others with similar abilities and interests and to communicate with some of the most prominent scientists in the world. Bulgaria will organise EUCYS for the first time in 2019, but the organisers have rich previous experience in hosting similar events, which have been organised with the partneriship and support of the Ministry of Education and Science(MES), and the key expertise of the Institute of Mathematics and Informatics of the Bulgarian Academy of Sciences (IMI BAS), a public research organisation with more than 40 years of experience in bridging education and research. This partnership will continue, with MES as a leading organization and IMI-BAS, stepping in as a linked party of the ministry responsible for the coordination and implementation of the competition programme and the parallel scientific and cultural activities. The contest will bring together more than 150 young researchers from more than 40 countries. Furthermore, a pilot alumni parallel program will gather former participants in the contest and lay the foundations of a future EUCYS alumni network. For four days the participating projects will be interviewed by jury composed of leading European scientists and will compete for European Union prizes, special prizes and host organization prizes. In their free time the participants will be offered the opportunity to visit Bulgarian research institutions and historical monuments with Europe-wide significance.
Team semantics and dependence logic (TEAMDEP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Finland
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-06-01
End date: 2026-05-31
Duration (months): 60.0
Total project cost (EUR): 2496146.25
EU funding (EUR): 2496146.25
Participants: 1
Project status: SIGNED

In the traditional so-called Tarski’s Truth Definition the semantics of first order logic is defined with respect to an assignment of values to the free variables. A richer family of semantic concepts can be modelled if semantics is defined with respect to a set (a "team") of such assignments. This is what is called team semantics, a term coined by the PI in his 2007 monograph, and used ever since to describe this highly non-trivial modification of Tarskian semantics. Team semantics was introduced around the same time in inquisitive logic under the name state semantics. Examples of semantic concepts available in team semantics but not in traditional Tarski semantics are the concepts of dependence and independence. The PI introduced what he called dependence logic around these concepts. It appears that teams appear naturally in several areas of sciences and humanities which has made it possible to apply dependence logic and its variants to these areas. Now is the right moment to move from dependence logic to a broader explication of team semantics. This is what the TEAMDEP project proposes to do. In the TEAMDEP project we take team semantics to a new level by focusing on its hard axiomatizability questions and to its applications to the foundations of quantum mechanics and to the multiverse of set theory.

Keywords: mathematical logic,team semantics,dependence logic,formal methods,multiverse,generalized quantifier,second order logic,set theory
Critical behavior of lattice models (CriBLaM)

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,France
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-09-01
End date: 2024-01-31
Duration (months): 65.0
Total project cost (EUR): 1499912.0
EU funding (EUR): 1301459.31
Participants: 2
Project status: SIGNED

Statistical physics is a theory allowing the derivation of the statistical behavior of macroscopic systems from the description of the interactions of their microscopic constituents. For more than a century, lattice models (i.e. random systems defined on lattices) have been introduced as discrete models describing the phase transition for a large variety of phenomena, ranging from ferroelectrics to lattice gas. In the last decades, our understanding of percolation and the Ising model, two classical exam- ples of lattice models, progressed greatly. Nonetheless, major questions remain open on these two models. The goal of this project is to break new grounds in the understanding of phase transition in statistical physics by using and aggregating in a pioneering way multiple techniques from proba- bility, combinatorics, analysis and integrable systems. In this project, we will focus on three main goals: Objective A Provide a solid mathematical framework for the study of universality for Bernoulli percolation and the Ising model in two dimensions. Objective B Advance in the understanding of the critical behavior of Bernoulli percolation and the Ising model in dimensions larger or equal to 3. Objective C Greatly improve the understanding of planar lattice models obtained by general- izations of percolation and the Ising model, through the design of an innovative mathematical theory of phase transition dedicated to graphical representations of classical lattice models, such as Fortuin-Kasteleyn percolation, Ashkin-Teller models and Loop models. Most of the questions that we propose to tackle are notoriously difficult open problems. We believe that breakthroughs in these fundamental questions would reshape significantly our math- ematical understanding of phase transition.

Keywords: statistical physics,phase transition,percolation theory,ising model
Innovation services and key account management support for Basque SMEs during 2017-2018 (BASKAM2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Spain,Spain,Spain
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 85070.0
EU funding (EUR): 85070.0
Participants: 7
Project status: CLOSED

SMEs are the backbone of Europe's economy. They represent 99% of all businesses in the EU. In the past five years, they have created around 85% of new jobs and provided two-thirds of the total private sector employment in the EU. It is important to note that while the prospects for SME success are tied with macro-economic developments, they by no means identically mirror all of them. As the majority of SMEs operate in sectors that serve domestic demand, for example, they did not share in the benefits of increased foreign demand, which was the key macro-economic driver of growth from 2008 to 2015. This has been also the case of Basque SMEs during the same period. Many SMEs are not in export‐oriented sectors, particularly the micro and small enterprises. Thus, programs supporting SME exports benefit directly only a sub‐set of SMEs. However, indirectly, all SMEs benefit to some extent from growth in exports as higher exports raises a) overall income levels, and hence the demand for goods and services sold by domestic demand facing SMEs, and b) the demand for goods and services originating from exporting‐oriented enterprises. Yet in an increasingly internationalized world, there are competitive advantages for those businesses that begin with a global strategy and can move quickly to take advantage of cross‐border activities. Providing further, tailored support for this growing asset class would form a key step in allowing SMEs to leverage the benefits of increased foreign demand. In the Basque Country we’re very much aware of this scenario and that’s why the Network consortium partners participating in this action have design a implementation plan aiming at contributing to the objectives of COSME and H2020. That is, facilitating access to European and international markets for Basque SMEs and by providing growth-oriented, integrated business and innovation support services that help strengthen the competitiveness and sustainability of the enterprises in our region.

Keywords: innovation management