Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Mesoscopic lAttices of ryDbergs for quAntuM thErmalization (MADAME)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: France,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-11-01
End date: 2019-10-31
Duration (months): 36.0
Total project cost (EUR): 246668.4
EU funding (EUR): 246668.4
Participants: 2
Project status: CLOSED

This proposal aims at exploring the effect of dissipation in the nascent field of quantum thermodynamics. Two related quantum many-body experiments, realized using recent advances in cold atom quantum simulation, are aimed at understanding under what conditions a quantum system thermalizes. The outgoing phase, at the University of Maryland, USA, studies intriguing quantum effects in interacting, driven-dissipative systems, whereby the collective nature of dissipation prevents the system from reaching static equilibrium, despite strong coupling to the environment. Prof. Porto leads the host team, part of the NIST/UMD group of W.D. Phillips. The return phase, at Institut d’Optique, addresses the important question of dissipation-less thermalization in closed quantum systems of interacting atoms. The team is led by Dr. Browaeys in the CNRS group headed by P. Georges. The hosts provide complementary techniques of optical trapping and cooling for neutral atoms in regular arrays, and both are experts in manipulating strongly-interacting Rydberg atoms. Novel techniques for fast single-atom manipulation derived from adaptative optics are expected to circumvent current limitations: therefore a secondment in the ETHZ team of Prof. Esslinger, Switzerland, is planned for the Experienced Researcher (ER) to learn these techniques. Fundamental questions raised by quantum thermodynamics have recently received a worldwide surge of attention from leading research groups. Along the way, this proposal will develop new methods beneficial to quantum simulation techniques and to more general applications in quantum technologies, one of the major axis supported by the EU. The ER will discover multiple techniques and a wide view of quantum many-body problems, which will strongly benefit his career. Both hosts are world-wide experts in the relevant fields, experienced in welcoming young international researchers, and possess the resources and the will to make of the project a success.

Keywords: quantum thermodynamics,rydberg atoms,optical lattices
Ungulate tooth wear analysis as a proxy for Neanderthal habitats changes during MIS 4 and 3 (ToothClues)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-07-01
End date: 2023-06-30
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: SIGNED

Several methods are used in Pleistocene paleoenvironmental reconstitution, such as, biochemical, eco-morphologicals, dental wear or pollen analyses. The rigorous comparison and inclusion of several paleoenvironmental proxies in a single study is still in its early stages. Yet, these methods are complementary and their inclusion could bring greater precisions to the knowledge of local and regional paleoenvironmental. Toothclues is a multi-disciplinary and innovative project which aims, for the first time, to compare and combine herbivore paleodiet, eco-morphometry and paleobotanical data, obtaining a clear picture of the environment where Neanderthal groups lived and precise interactions between them and their biotope in three temporal scales. This study will focus on the North-western part of the Mediterranean basin (France and Spain) during the MIS 4 and 3 in order to evaluate Neanderthal adaptations to the climatic instability. We selected three archaeological sites in which both faunal and botanical elements were available in situ and well preserved. This study requests several areas of expertise and tools to be conducted. First, the diet of the ungulates will be determined using dental wear analysis. Then, post-cranial bones of ungulates will be studied through morphological and metric analyses using Geometric Morphometrics. Next, pollen data from the same localities will be compiled with the help of specialists and combined with the faunal proxies through statistical analysis. The development of a new method to combine three proxies which refer to various geographical (local/regional) and time (decades/years/season) scales will bring new information about paleoenvironmental features for the North-western part of the Mediterranean basin during MIS 4 and 3 with a great precision. Ultimately, ToothClues aim to understand the interaction between environment, preys and humans in order to evaluate the adaptability and resilience of Neanderthal societies.

Keywords: zooarchaeology,tooth wear,middle palaeolithic,palaeodiet,human environment interactions
Personalised Content Creation for the Deaf Community in a Connected Digital Single Market (Content4All)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Germany,Belgium,Switzerland,Switzerland,United Kingdom
Call: Media and content convergence (H2020-ICT-2016-2, 2016)
Start date: 2017-09-01
End date: 2020-11-30
Duration (months): 39.0
Total project cost (EUR): 4173127.5
EU funding (EUR): 3499856.63
Participants: 6
Project status: CLOSED

Improving the accessibility of content for the Deaf community is an important goal for both EU governments and broadcast industry regulators. Although legislation is being used to coerce content producers and broadcasters to do so, the cost of producing sign-language content and the negative impact of having a sign-interpreter appearing on the content for hearing individuals has relegated sign-language programming to late nights or a small number of sign-presented programs. A low-cost solution for personalized sign-interpreted content creation can address both of these problems, leading to greater accessibility to media content for Deaf users. CONTENT4ALL proposes such a solution to the problem in the short-term, which is also commericalizable, and proposes innovations to technologies that can lead to automated sign-translation capabilities in long-term. To this end, it builds upon the technologies demonstrated by the consortium partners in previous EU projects. As a first development a remote signing apparatus (located off-premises of the broadcaster) will be produced to capture a human sign-interpreter’s signs, pose and facial expressions and to parameterize this information. Then, it will be rendered photo-realistically as a 3D representation of the human sign-interpreter at the broadcaster for production of the personalized stream for Deaf users. While this solution can be used commercially, resulting datasets will provide a vast source of information for learning how to parameterize sign information for translation purposes. The second development of CONTENT4ALL will focus on advancing the algorithms/models used to do so, with the intent to create an open dataset for further research into automated signing. Finally, CONTENT4ALL will demonstrate automated sign-translation applied to a real-world TV broadcasting scenario, which is envisaged to lead to new approaches and innovations in the area in the long-run.

Keywords: broadband broadcast convergency,hbbtv
Nanozymes POC (Nanozymes POC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: United Kingdom
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-07-01
End date: 2019-06-30
Duration (months): 12.0
Total project cost (EUR): 148646.0
EU funding (EUR): 148646.0
Participants: 1
Project status: CLOSED

Point-of-care biosensing technologies often suffer from low sensitivity, specificity, affordability and simplicity. Within "Nanozymes POC" we are exploiting a lateral flow immunoassay point-of-care technology supported from the ERC award "Naturale CG". Our paper-based point-of-care device comprises a lateral flow immunosorbent assay showing a sensitivity of 100pg/mL p24 detection and a 100-fold improvement in sensitivity following a catalytic development step involving platinum core-shell nanoparticles (PtNCs) called “nanozymes”. This technology detects p24 in spiked plasma pool at concentrations as low as 1 pg/mL and has enormous potential for detection of HIV at earlier stages soon after infection, amenable for use in low- and middle-income countries. Within this award, we are optimising the components and their stability and performing tests using clinically relevant samples and in the field. We are also exploring the expansion of this platform technology for its potential in detecting biomarkers for cancer. The commercial strategy performed within Nanozymes POC will support its translation potential, targeting that patients can receive more timely access to treatment options and improve their quality of life.

Keywords: biosensing,point of care,cancer,nanomaterials
The evolvability of bacterial multicellularity (EBM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

There are numerous evolutionary origins of multicellularity. Yet, only in a few cases was the origin of multicellularity also followed by an enormous diversification of multicellular forms and functions. This raises the question what determines the evolvability of multicellular phenotypes, i.e. their capacity to undergo evolutionary change? I will study the evolvability of one of the simplest forms of bacterial multicellularity: colony formation in the Bacilli. Despite their simplicity, Bacilli can express a wide range of colony morphologies. The physical forces that shape these morphologies are well understood. In addition, there is a detailed understanding of the gene regulatory network (GRN) underlying colony formation and ample of genomic data. I will study how the GRN underlying multicellularity affects its evolvability. First, I will determine which evolutionary changes in the GRN are associated with the diversification of colony morphologies. To this end, I will construct a phylogenetic tree of the Bacillales, compare all genomes and identify the genetic changes that correlate with changes in colony morphology. Second, I will determine if and how these genetic changes give rise to changes in colony morphology. I will construct Bacillus subtilis mutants, which harbor the identified genetic changes, and examine how their colonies develop. Since colonies come about through the feedback between cells and their environment, I will use a unique combination of state-of-the-art biotechnologies to trace the transcriptomic and environmental changes in the colony over time. This will give an extraordinary detailed account of colony development in the Bacilli. Finally, I will examine why the morphological diversification of colonies was favored by selection, by studying the functional properties of colonies. Altogether, this will be the first comprehensive analysis on the evolvability of multicellularity, thereby giving a unique glimpse on how evolution innovates.

Keywords: bacterial multicellularity,bacilli,evolvability,gene regulatory network,evolutionary diversification,phylogenetics
Ultrasound NDE tomograph. Design and construction of a portable 3D ultrasound scanner for non-destructive testing and evaluation (NDT and NDE) of concrete in bridges and other building structures (COBRI)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Norway
Call: Small business innovation research for Transport (H2020-SMEINST-2-2015, 2015)
Start date: 2015-11-01
End date: 2017-12-31
Duration (months): 26.0
Total project cost (EUR): 1849465.0
EU funding (EUR): 1294625.5
Participants: 1
Project status: CLOSED

Based on a novel smart design (patent pending) for ultrasonic Image data capture from solid materials like concrete, shall the project develop and implement a fully functional model of a hand held NDT/E (Non-Destructive Testing /Evaluation) instrument. This user friendly NDE tomograph (3D-scanner) shall be able to scan 10 times faster than the current state of the art instrument, with better resolution in a human readable format. This innovative solution will simplify and improve current bridge inspection methods and consequently improve safety, enhance capital investments and road infrastructure capacity. This business project will be the fundament for future technological and commercial expansion for Elop. Validation of the instrument is performed by highly qualified expertise in bridge inspection and NDT (COWI Denmark, Ramboll Norway and Denmark). This validation will also be an introduction of the product to the end users and customers as part of the exploitation and dissemination work.

Keywords: ndt instrument,concrete inspection,non destructive testing,ultrasound,polymer,saft,synthetic,aperture
MedAS: a Machine learning enabled Clinical Decision Support System to prevent prescription errors and improve patient safety (MEDAS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Israel
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-05-01
End date: 2017-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Medication errors are the most common cause of adverse events in medication practice, although they are preventable. Only in Europe, prescription error rates range from 7.5% to 9.1% of the total managed medicines, representing a major public health issue, as some of those can even be fatal. They also represent a great economic burden to healthcare systems, with annual costs reaching €4.5B to €21.8B, depending on the country. MedAware’s founders decided to take action on the theme in 2012, when they found out that a nine-year-old boy died simply because his primary care physician accidentally selected the wrong drug, on his electronic prescribing pull-down list. By realising that current solutions completely failed to save this boy, the team started developing several proof-of-concept algorithms that became our first prototype and then MedAS (MedAware Alerting System). MedAS is an innovative patient-specific Clinical Decision Support System, that identifies and alerts on prescription errors in real-time, and with greater than 80% accuracy. It utilizes big-data analytics and advanced machine learning to identify statistical outliers and to generate precise alerts that would otherwise be missed by existing CDSS. MedAS’s effectiveness has already been proven both in retrospective trials and in real medical facilities in Israel and the USA: we improved patient safety, outcomes, and experience while dramatically reducing healthcare costs. Enabled by our next generation technology and given MedAS’s unique capabilities, we now intend to build a solid technology platform and to deploy it to the European market. The main objective of the feasibility study is to assess MedAS from technical, commercial and financial perspectives. We will seize the opportunity to enter the constantly growing CDSS market (€51.8M in Europe by 2018) with our novel technology and platform, and estimate revenues of €22.1M by 2024, with a ROI of 8.9

Keywords: machine learning,prescription error,prescription error surveillance,medication error,patient safety,clinical decision support system
SOcietal Needs aNalysis and Emerging Technologies in the public Sector (SONNETS)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Coordination and support actions
Countries involved: Germany,Italy,Spain,Greece
Call: Meeting new societal needs by using emerging technologies in the public sector (H2020-EURO-6-2015, 2015)
Start date: 2016-03-01
End date: 2017-08-31
Duration (months): 18.0
Total project cost (EUR): 498320.0
EU funding (EUR): 498319.5
Participants: 4
Project status: CLOSED

It is a fact that technology in our age is offering countless solutions that could change the way we live and act and that innovation is lately directly linked with emerging technologies that are applied in various domains. However, despite the investments performed in the last decade the bitter truth is that “we are not there yet” when it comes to fully exploiting the benefits of ICT to help the public sector to meet emerging societal needs. SONNETS will tackle this issue of empowering the public sector in becoming a core innovation driver by dedicating itself to the following core questions: • How to identify, monitor and early detect societal trends that need to be met by specific public sector services? • How to timely get aware of emerging technologies and assess their usability for the public sector? To provide convincing answers to these questions SONNETS will deliver an innovative methodological framework to accelerate the transformation of the public sector through the identification and analysis of emerging technologies that hold the potential to transform the public sector into a technology leader and innovation carrier. Thus SONNETS has committed itself to the mission to foster collaboration between all relevant stakeholders by breaking down knowledge silos towards building a more productive, responsive and innovation generating public sector. As such SONNETS is based on the following sub-concepts, which can be witnessed as a quadruple helix: • Needs Identification through evidence-based research approaches and methods • Innovations Identification and Gap Analysis • Impact generation through Community Building and Intense Networking • Innovation Transfer through best practice identification in multidisciplinary areas and impact assessment These activities will lead to the multidisciplinary development of a roadmap that will allow the public sector to grasp the role of the protagonist in a future of value added services which meet societal needs.

Keywords: societal challanges,technology trends,emerging technologies
Elucidating the phenotypic determinants of hybrid vigour (PHENOVIGOUR)

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: France
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-04-01
End date: 2026-03-31
Duration (months): 60.0
Total project cost (EUR): 1495182.0
EU funding (EUR): 1495182.0
Participants: 1
Project status: SIGNED

How organismal traits are inherited in offspring is a long-standing, open question. Hybrids between unrelated individuals of plants or animals often show greater vigour, disease resistance, and fertility. The genetic mechanisms behind the deviation of hybrids from the parental phenotype have been widely studied. However, hybrid vigour remains difficult to predict qualitatively and quantitatively. A key bottleneck is that it remains difficult to explain why different traits are inherited differently. I will overcome this bottleneck to explain trait inheritance and predict hybrid vigour in crop plants from a phenotypic stand point. I will do this by bridging old evolutionary principles with modern models of ecological theory, via the following three objectives: 1. Determining whether in hybrids the degree of trait deviation from the parental phenotype increases with the degree of trait integration; 2. Testing whether modelling relationships between traits can quantitatively explain hybrid vigour; and 3. Building a predictive model of hybrid performance in the field. My project will build on a combination of comparative, experimental and modelling approaches, and a large collection of available phenotypic data in crop plants. In addition, I will use cutting-edge phenotyping facilities to test underlying hypotheses on two experimental species: maize (Zea mays) and sorghum (Sorghum bicolor). The novel hypothesis is that deviation of a trait in a hybrid is the geometric result of the nonlinear effects of traits at lower levels of integration. The objectives are designed to provide a timely breakthrough in the fundamental understanding of variation in trait inheritance. Further, my approach will also enable predictive models of hybrid performance in crop plants to be developed, which would be an outstanding tool for breeders.

Keywords: hybrid,heterosis,trait relationships,phenotypic integration,nonlinearity,trait inheritance,allometry,trade off,predictive model