Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Cybergenetics: Theory and Design Tools for Biomolecular Control Systems (CyberGenetics)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-08-01
End date: 2022-12-31
Duration (months): 65.0
Total project cost (EUR): 2499887.0
EU funding (EUR): 2499887.0
Participants: 1
Project status: CLOSED

We propose to develop a new theory and design tools for the estimation and real-time control of living cells. The control systems designed using these tools will precisely and robustly steer the dynamic behavior of living cells in real time to achieve desired objectives. Cells would be controlled either collectively at the population level, or individually as single cells. The control systems achieving this regulation will be realized either on a digital computer that is interfaced with living cells, or using de novo genetic circuits that are introduced into the cells where they are designed to function as molecular control systems. Our methods will explicitly confront the numerous challenges brought about by the special environment of the cell including nonlinearity, stochasticity, cell-to-cell variability, metabolic burden, etc. The theory and methods developed in this project will thus enable the systematic, rational, and effective feedback control of living cells at the gene level, and will lay the foundation for a new corresponding body of knowledge which we call ``Cybergenetics''. It will also open new research directions in the areas of control theory and estimation. We also propose to design three cybergenetic control systems, each addressing an important application in biotechnology or therapeutics. In the first, the controller will use light and nutrient supply to precisely regulate gene expression and cell growth in E. coli to achieve high protein and low biomass production rates. The second involves multiple feedback controllers regulating in parallel a large number of single stem cells, and leading to their differentiation to desired fates, e.g. beta cells, with potential for therapeutic applications. Finally, we will engineer into living cells dynamic molecular control systems. Such controllers can be used to monitor physiological variables and secrete biological effectors in a feedback fashion for the treatment of diseases like Type 1 diabetes.

Keywords: feedback control,regulation,stochastic biochemical reaction networks,intrinsic and extrinsic noise,synthetic biology,homeostasis,robust perfect adaptation,optogenetics,genetic engineering
High-quality Energy Performance Assessment and Certification in Europe Accelerating Deep Energy Renovation (QualDeEPC) (QualDeEPC)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Germany,Spain,Germany,Belgium,Hungary,Bulgaria,Greece,Sweden,Latvia
Call: Next-generation of Energy Performance Assessment and Certification (H2020-LC-SC3-EE-2018, 2018)
Start date: 2019-09-01
End date: 2023-02-28
Duration (months): 42.0
Total project cost (EUR): 1995575.25
EU funding (EUR): 1995575.25
Participants: 11
Project status: CLOSED

The QualDeEPC project is aiming to both improve quality and cross-EU convergence of Ener-gy Performance Certificate (EPC) schemes, and the link between EPCs and deep renovation: High-quality Energy Performance Assessment and Certification in Europe Accelerating Deep Energy Renovation (QualDeEPC). The objective of the project is to improve the practical implementation of the assessment, is-suance, design, and use of EPCs as well as their renovation recommendations, in the partici-pating countries and beyond. Recommendations for renovation shall be made coherent with deep energy renovation towards a nearly-zero energy building stock by 2050. In order to reach these objectives, the project will organise its activities in four stages: 1 | Analysis of existing EPC schemes, good practice, shortcomings, and priorities for improvement 2 | Development and testing of concrete proposals and tools for enhanced EPC assessment, certifi-cation, and verification, as well as Deep Renovation Network Platforms 3 | Adaptation to country needs and implementation of consensus elements, and developing a roadmap for further dialogue and 4 | Sustainability Strategy and Conclusive policy recommendations, dialogue, and transfer. Project partners will work to achieve consensus and implementation during the project for as many improvements as possible, seeking the cooperation of certification bodies, energy agen-cies and other organisations. Some of these are project partners, many others agreed to sup-port the project as associated partners. However, many of the potential improvements to EPC assessment, certification, and independent monitoring and verification will need adaptation of standards, regulations, or even legislation. The QualDeEPC project will stimulate such changes by (1) intensive dialogue involving the important stakeholders at all levels from the very beginning in the above four project stages and (2) disseminating its findings among the relevant target audiences in Europe.

Keywords: buildings,energy performance assessment,energy performance certification,deep energy renovation
Temporal Dynamics of Transient Attention (TDoTA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2023-09-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: TERMINATED

To identify a target in a dynamic environment, attention must be allocated to the target’s at the right time. Temporally selective attention allows us to discriminate a briefly presented target from temporally adjacent distractors. However, when a target is closely followed by a distractor that shares the target’s response category, participants often erroneously report the identity of the distractor (distractor intrusions). Previous studies showed that such distractor intrusion effects are mediated by attentional processes, but the exact underlying mechanism remains a matter of debate. The proposed study is designed to fill this gap, using behavioural and electrophysiological measures. We will test a new account of temporal attention and distractor intrusions. To do so, we will develop a novel paradigm that will allow us to track electrophysiological biomarkers (N2pc component) of attentional processes, separately for trials where participants correctly identified the target and intrusion trials. Prof. Eimer is one of the leading researchers in the field of cognitive electrophysiology. Under his supervision, I will train in state-of-the-art EEG and eye-tracking methods, and learn the skills required to become a PI. The studies are expected to have a substantial impact to several theoretical debates. Thus, the success of the action and its dissemination promises to turn me into a strong player in the field. From that standpoint, I will be able to find fruitful collaborations, especially by capitalizing on Prof. Eimer’s network of collaborators. As advancements are introduced to the field of cognitive psychology, researchers are rightfully expected to be apt in interdisciplinary methodologies, and especially in neuroimaging techniques. Training in these methods and achieving the goals of the action will be the stepping stone for my future career as a PI in a leading university in Israel or Europe.

Keywords: attention,visual attention,temporal attentionl,feature binding,electrophysiology,event related potentials
Magnetic swArms for liver chemoeMBOlization (MAMBO)

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: Information Science and Engineering
Countries involved: Italy,China
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2023-08-31
Duration (months): 36.0
Total project cost (EUR): 252525.12
EU funding (EUR): 252525.12
Participants: 2
Project status: SIGNED

Magnetically actuated untethered microrobots have been proposed in the state of the art since more than a decade towards the dream of accessing remote hard to reach areas of the human body. Nevertheless, some challenges still have to be faced before any microrobot-based therapeutic paradigm can reach the clinical practice. MAMBO (Magnetic swArms for liver chemoeMBOlization) aims at facing some of these challenges by targeting a specific clinical application, namely liver chemoembolization. The proposal stems from the idea to improve cancer chemotherapy and existing chemoembolization procedures by using magnetic forces to collect chemotherapeutics in the target region (through swarm control methods) and to controllably and stably embolize tumor blood vessels. Drug loaded soft magnetic microrobots featured by responsiveness to ultrasound will be developed to this aim. The responsivity to US will enable microrobot swelling and controlled vessel occlusion and at the same time their ultrasound-based imaging to guarantee their tracking in vivo. Magnetic swarm control techniques will be employed to enable microrobots locomotion in biologically-relevant fluids. MAMBO will last 36 months and is articulated in a 24 months outgoing phase carried out at the Chinese University of Hong Kong (CUHK – partner organization) and in a 12 months return phase in Scuola Superiore Sant’Anna (SSSA – beneficiary organization). In the framework of the project I will try to deepen my skills in magnetic swarm control by benefiting from the major expertise of Prof. Li Zhang’s group. At the same time, I will share with them my background in medical robotics and drug delivery systems towards the development and testing of a novel therapeutic paradigm for cancer treatment. During the return phase at SSSA I will focus on the US imaging of the developed microrobots thanks to the Interaction with Prof. Menciassi’s group and to their expertise in US-based technologies.

Keywords: microrobotics,magnetic swarm,medical imaging,ultrasound,drug delivery,chemoembolization
Argumentation-based Deep Interactive EXplanations(ADIX) (ADIX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: United Kingdom
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2500001.25
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Today’s AI landscape is permeated by plentiful data and dominated by powerful methods with the potential to impact a wide range of human sectors, including healthcare and the practice of law. Yet, this potential is hindered by the opacity of most data-centric AI methods and it is widely acknowledged that AI cannot fully benefit society without addressing its widespread inability to explain its outputs, causing human mistrust and doubts regarding its regulatory and ethical compliance. Extensive research efforts are currently being devoted towards explainable AI, but they are mostly focused on engineering shallow, static explanations providing little transparency on how the explained outputs are obtained and limited opportunities for human insight. ADIX aims to define a novel scientific paradigm of deep, interactive explanations that can be deployed alongside a variety of data-centric AI methods to explain their outputs by providing justifications in their support. These can be progressively questioned by humans and the outputs of the AI methods refined as a result of human feedback, within explanatory exchanges between humans and machines. This ambitious paradigm will be realised using computational argumentation as the underpinning, unifying theoretical foundation: I will define argumentative abstractions of the inner workings of a variety of data-centric AI methods from which various explanation types, providing argumentative grounds for outputs, can be drawn, generate explanatory exchanges between humans and machines from interaction patterns instantiated on the argumentative abstractions and explanation types, and develop argumentative wrappers from human feedback. The novel paradigm will be theoretically defined and informed and tested by experiments and empirical evaluation, and it will lead to a radical re-thinking of explainable AI that can work in synergy with humans within a human-centred but AI-supported society.

Keywords: explanation,computational argumentation
Mooring of floating wave energy converters:numerical simulation and uncertainty quantification (MoWE)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

This project aims at designing mooring system for floating wave energy converters (WECs) using a design approach based on numerical uncertainty quantification to estimate loads to a given tolerance level. This approach is to be compared to traditional deterministic approach with safety factors in terms of cost of the designed system. This is to be achieved by: (i) using an uncertainty quantification (UQ) toolbox based on general polynomial chaos (gPC) into a state-of-the-art mooring dynamics solver; (ii) to perform detailed numerical investigation on the influence on snap-loads on the mooring design. All parts aim at providing a base for lowering the economic cost of the mooring system.

Keywords: mooring cables,uncertainty quantification,probabilistic design,wave energy,mooring loads
Exploring the Cosmos with the Vera Rubin Observatory (CosmicExplorer)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Sweden,United Kingdom
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2498565.0
EU funding (EUR): 1296935.0
Participants: 2
Project status: SIGNED

The standard model of cosmology postulates ingredients that are not present in the standard model of particle physics – dark matter, dark energy, and a primordial origin for cosmic structure. Their physical nature remains a mystery. In the past few years, it has become clear that formidable modelling and data analysis challenges stand in the way of establishing how these ingredients fit into fundamental physics. Starting in 2023, we have an opportunity to uncover the physical underpinning of the cosmological model, using a new window on the universe opened by the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). Just in its first year, LSST will see more of the universe than all previous surveys combined. By repeatedly mapping huge sky areas, it will create the first motion picture of our universe. The resulting catalogues will contain billions of galaxies and other, more exotic objects such as the electromagnetic counterparts of gravitational wave sources. This project aims to turn these catalogues into physical insight by solving three pressing challenges: (1) the formidable computational expense of accurately modelling this complex data; (2) the need to tease out subtle signals from (possibly unknown) systematics; (3) capturing the rich information in the “cosmic web” of galaxies tracing the large-scale structure of the universe, inaccessible by standard analysis methods. I will achieve these aims through a unique approach, combining innovative data emulation techniques to accelerate forward-modelling, a ground-breaking ‘explainable artificial intelligence’ approach to scientific discovery, and advanced hierarchical Bayesian methods to achieve not just precision (small error-bars) but accuracy (unbiased results). The combination of the unique tools I will develop, and LSST’s new view of the universe, opens up a vast discovery space. I will explore this space with the aim of achieving a breakthrough in our understanding of physical cosmology.

Keywords: survey cosmology,bayesian methods,machine learning,dark matter,dark energy,early universe
Repurposing of carbamazepine for treatment of skeletal dysplasia (MCDS-Therapy)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Australia,Germany,Belgium,France,France,United Kingdom,United Kingdom,United Kingdom
Call: New therapies for rare diseases (H2020-SC1-2017-Two-Stage-RTD, 2017)
Start date: 2017-12-01
End date: 2024-05-31
Duration (months): 78.0
Total project cost (EUR): 5697390.5
EU funding (EUR): 5697390.5
Participants: 12
Project status: SIGNED

Genetic skeletal diseases (GSDs) are an extremely diverse and complex group of rare genetic diseases that affect the development the skeleton. There are more than 450 unique and well-characterised phenotypes that range in severity from relatively mild to severe and lethal forms. Although individually rare, as a group of related genetic skeletal diseases, GSDs have an overall prevalence of at least 1 per 4,000 children, which extrapolates to a minimum of 225,000 people in the 27 member states and candidate countries of the EU. This burden in pain and disability leads to poor quality of life and high healthcare costs. Metaphyseal chondrodysplasia, type Schmid (MCDS) results from mutations in collagen X and affects <1/100,000 of the population. Mutant collagen X molecules miss-fold during synthesis and are retained within the endoplasmic reticulum (ER) of hypertrophic chondrocytes, thereby causing ER stress. Our extensive pre-clinical studies have shown that carbamazepine (CBZ) can alleviate ER stress caused by the expression of mutant collagen X and restore bone growth in a validated mouse model of MCDS. CBZ is an FDA approved drug used for the treatment of epilepsy and bipolar disorder and received orphan drug designation by the European Commission for the treatment of MCDS in September 2016. MCDS-Therapy was originally proposed as a 5-year collaborative project comprising world-renown clinical centres and SMEs to advance the repurposing of CBZ for MCDS (up to the Marketing Authorization Application dossier) through a multicentre and multinational (EU & AUS) clinical trial (Phase1, Phase2/3). MCDS-Therapy also encompasses biomarker development and health economics assessment studies to deliver, evidence to inform potential further studies of an innovative and affordable (CBZ already exists in a generic form) repurposed therapy for MCDS along with the diagnosis/prognosis tools to personalise the treatment strategy. The original proposal was for completion of this by 2022 however delays associated with the COVID pandemic have resulted in a need to extend the project with completion now forecast by May 2024.

Keywords: orphan drug,repurposing,clinical trial,health economics,biomarkers,skeletal dysplesia,metaphyseal chondrodysplasia type schmid
Behavioural Economics for ATM Concepts (BEACON)

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: Italy,Spain,Switzerland,Belgium,United Kingdom
Call: Behavioural Economics in ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-07-01
End date: 2022-12-31
Duration (months): 30.0
Total project cost (EUR): 1045483.75
EU funding (EUR): 996593.75
Participants: 6
Project status: CLOSED

The project builds on the concept of User-Driven Prioritisation Process (UDPP) already developed by Eurocontrol. UDPP is currently a simple way for airlines to avoid impact of massive delays on their fleet, by reordering their own flights within constraints. BEACON will study the feasibility of extending UDPP to allow multi-prioritisation processes in the airspace (e.g. encompassing departure slots, regulation slots, arrival manager slots), and exchange of slots between airlines. For this, it will build two models: a strategic model with long-term planning capabilities for the agents, and a more detailed tactical simulator to capture network effects and compute various key performance indicators. To properly capture the agents' behaviours, BEACON will make use of behavioural economics. Effect like endowment, loss-aversion, hyperbolic discounting and others will be explored, in order to take them into account in the design of the new prioritisation mechanisms right from the start. Different types of markets and credit systems will then be tested with the models. Special attention will be paid to issues of fairness and equity, through the use of both existing and new metrics. In particular, the project will explore the impact of the new mechanisms on low-volume airspace users. The industrial partners of the consortium, as well as the Advisory Board, will be at the centre of the validation process. On top of the qualitative feedback expected through focused workshops, the project will also get important insights by performing two different kinds of behavioural experiments. To this end, a simple interface to the model will be built. BEACON will increase the understanding on what Behavioural Economics can add to ATM concepts elaboration and validation methodologies and will deepen and broaden the concepts of prioritisation in ATM beyond UDPP and their potential impacts on Network performance.

Keywords: user driven prioritisation process,udpp,fairness,equity,cost of delay