Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Development of an efficient steganalysis framework for uncovering hidden data in digital media. (UNCOVER)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Spain,Germany,Spain,Germany,Austria,Spain,Finland,Sweden,Belgium,France,France,France,France,France,Czechia,Netherlands
Call: Technologies to enhance the fight against crime and terrorism (H2020-SU-SEC-2020, 2020)
Start date: 2021-05-01
End date: 2024-04-30
Duration (months): 36.0
Total project cost (EUR): 6929517.5
EU funding (EUR): 6929517.5
Participants: 24
Project status: SIGNED

Criminals and terrorists use more and more data hiding methods (steganography) for concealing incriminating information in innocent-looking digital media files such as images, video, audio, and text files. UNCOVERs main objective is to fill existing gaps in the ability of Law Enforcement Agencies (LEAs) for detecting the presence of such hidden information (i.e., steganalysis). To carry out a full investigation into criminal and terrorist activities, LEAs currently use available (commercial) tools to detect hidden information in collected digital media. However, these tools detect only a limited number of hiding methods, are slow, and offer no indication of confidence. Moreover, many commercial tools lag a decade behind the scientific state-of-the-art. The members of UNCOVER are committed to bridge these gaps and thus substantially increase the technological autonomy of LEAs in the field of digital media steganalysis. With its consortium of 22 partners including LEAs, forensic institutes, leading researchers working at universities and research institutions, as well as industrial companies, UNCOVER sets out to outperform available steganalysis solutions in terms of performance (number of detectable steganographic methods, detection accuracy), usability, operational needs, privacy protection, and chain-of-custody considerations. The developed detection and investigation tools will be integrated into a flexible and user-friendly platform. End-users play a key role throughout the project cycle: from proposal writing over analysis of user requirements and tools development through the final evaluation. In particular, regular feedback cycles with LEAs, forensics institutes and external stakeholders will ensure that the developed solutions can be integrated into the daily criminal investigation pipeline of LEAs. A set of clearly defined Key Performance Indicators allows an objective evaluation of progress and end results against the defined objectives.

Keywords: steganography,steganalysis,hidden information,ensure and maintaining law and order,chain of custody
MMP and Mirrors via Maximal Modification Algebras (MMiMMa)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: United Kingdom
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-06-01
End date: 2026-05-31
Duration (months): 60.0
Total project cost (EUR): 1889131.0
EU funding (EUR): 1889131.0
Participants: 1
Project status: SIGNED

Geometrically, this proposal is concerned primarily with Calabi--Yau threefolds, their (local) classification, their homological properties, various associated structures such as stability conditions and Frobenius manifolds, and the resulting predictions across mirror symmetry. Our approach to these problems is through noncommutative algebra, and necessarily so. We will use techniques from contraction algebras and noncommutative resolutions to classify, using both theoretical and constructive methods, and in the process verify an amended version of a string theory prediction. We will use this to push forward curve-counting and derived category consequences and obstructions, and will work towards building a full database of 3-fold flops. On a parallel track, we will treat fundamental problems in noncommutative resolutions and their variants, and approach some of the founding conjectures in the area. We will tackle problems such as existence of MMAs through to more specific problems such as faithful actions and K(pi,1) through stability manifolds and tilting theory on preprojective algebras. We will furthermore merge all this into an emerging theory of Frobenius manifolds, SKMS, and schobers, and through this expand on recent work constructing mirrors to various flopping contractions.

Keywords: noncommutative resolutions,contractions,stability conditions,finite dimensional algebras
Reverse Engineering Gene Regulatory Networks (RetroNets)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-04-01
End date: 2022-09-30
Duration (months): 66.0
Total project cost (EUR): 1993858.0
EU funding (EUR): 1993858.0
Participants: 1
Project status: CLOSED

Gene regulatory networks (GRNs) are an important cellular signal processing mechanism for translating input signals into appropriate phenotypes by modulating expression of the genome. The quantitative details of how cells process information through GRNs are still poorly understood, but of central importance in a large number of biological processes. Considerable progress has been made in mapping the topology of GRNs and more recently in deciphering the relationship between promoter sequence and function. Nonetheless, it is not yet possible to computationally predict the output of most native promoters, nor is it trivial to build promoters that integrate signals in a novel and predictive manner. Developing a quantitative understanding of transcriptional regulation, ultimately leading to the ability to predict entire GRNs will be a significant achievement and a prerequisite for our ability to engineer biological systems. I propose a multi-disciplinary approach incorporating biology, engineering, and computational modelling to improve our quantitative understanding by reverse engineering GRNs in S. cerevisiae. My research group has developed a powerful set of unique, high-throughput microfluidic technologies that enable the quantitative analysis of GRNs in vitro and in vivo. Specifically I propose to quantitatively investigate the yeast phosphate regulatory network and to develop a master model capable of predicting output of the network under various inorganic phosphate concentrations, to develop novel approaches for modulating GRNs using engineered Zn-finger transcription factors (TF) and CRISPR/Cas, to link GRN output to fitness in order to develop an understanding of how networks are optimized and evolve, and to reverse engineer an exact functional copy of the native phosphate regulatory network with orthogonal components.
Radio wave propagation in heterogeneous media: implications on the electronics of Cosmic Neutrino Detectors (CosNeD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Romania
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2016-11-01
End date: 2018-10-31
Duration (months): 24.0
Total project cost (EUR): 185925.0
EU funding (EUR): 185925.0
Participants: 1
Project status: CLOSED

Detection of cosmic neutrinos can answer very important questions related to some extremely energetic yet unexplained astrophysical sources such as: compact binary stars, accreting black holes, supernovae etc., key elements in understanding the evolution and fate of the Universe. Moreover, these particles carry the highest energies per particle known to man, impossible to achieve in any present or foreseen man made accelerator devices thus their detection can test and probe extreme high energy physics. One of the newest techniques for measuring high energy cosmic neutrinos regards their radio detection in natural salt mines. A first and essential step is to determine experimentally the radio wave attenuation length in salt mines, and this will represent the main goal of this project. The results shall be used to estimate the implications on the construction of the detector. The outcome of this project may rejuvenate the radio detection in salt technique and be a compelling case for Romanian involvement. The same measurements can be used: to validate and improve previous work on theoretical simulation models of propagation in heterogeneous media –a regime not very well understood (which represents another goal of the project), and to study the behavior of classical antennas in non-conventional media (the third major goal). The results to be obtained would be immediately relevant in determination of the key parameters that describe a cosmic neutrino detector, its performances and limitations. The events detected by such a telescope will allow identification of individual sources indicating a step forward in “neutrino astronomy”. The extensive propagation and antenna behavior studies in heterogeneous media will be in the direct interest for the scientific community and have a prompt impact in telecommunications theory and industry.

Keywords: radio wave propagation,multi layered medium,antenna
Progressing towards the construction of METROFOOD-RI (PRO-METROFOOD)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Spain,Italy,Italy,Moldova, Republic of,North Macedonia,Greece,Hungary,Slovenia,Belgium,Finland,Türkiye,Romania,Slovenia,Switzerland,France,France,France,France,Czechia,Netherlands,Portugal
Call: Preparatory Phase and support to early phase of ESFRI projects (H2020-INFRADEV-2016-2, 2016)
Start date: 2017-01-01
End date: 2017-12-31
Duration (months): 12.0
Total project cost (EUR): 1959538.25
EU funding (EUR): 1959537.75
Participants: 30
Project status: CLOSED

The general objective of PRO-METROFOOD is to bring the emerging METROFOOD-RI ESFRI project to the level of maturity required for entering in the active project list, strengthening the Consortium and planning the future phases. The specific objectives have been set up in close relationship with the “ESFRI SWG & IG Recommendation”. 4 specific objectives have been identified: OBJ1 – design strategies on the medium and long terms; OBJ2 – provide the organizational framework of METROFOOD-RI; OBJ3 – demonstrate the capability of METROFOOD-RI to supply scientific services and prepare the chart of services; OBJ4 – establish plans to coherently integrate METROFOOD-RI into the European landscape, realising coordination with EU and National initiatives and positioning at a global level. The strategic Plan will be tailored to the Pan European Infrastructure current and envisaged capabilities, market opportunities and business needs. It will be developed by involving funding agencies, relevant authorities supporting METROFOOD-RI and other stakeholders. A management conceptual model will be developed and the framework will be designed under operational, strategic and institutional aspects. Management procedures suitable for the different phases will set up, so to cover short and long-term goals. A Quality Documentation System (QDS) will be developed and a data management plan (DMP) will be defined. In order to demonstrate the capability of PRO-METROFOOD to supply services and to test its inter-operability, pilot services will be performed. In strict accordance with the METROFOOD-RI strategies, plans to coherently integrate METROFOOD-RI into the European landscape will be developed. A Communication plan and education and training programmes will be developed for the different phases of METROFOOD-RI realization (earl, preparatory, implementation and operational phases). For each phase the main coordinator, the target group and the main training subject areas will be specified.
Software-defined Intermittent Networking (SINet)

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: Norway
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-02
End date: 2018-05-01
Duration (months): 24.0
Total project cost (EUR): 196400.4
EU funding (EUR): 196400.4
Participants: 1
Project status: CLOSED

In the ever-growing Internet of Things (IoT), Wireless Sensor Networks (WSNs) play an increasingly important role, with a strong demand for robust solutions in extreme environments. The aim of this proposal is to develop a networking solution that handles the intermittent communication links that characterise such environments. An integrated communication system for intermittent links in the Arctic is the main envisaged output for this proposal. The conducted research will draw on my past experience on routing and Software-Defined Networking to tackle heterogeneity and improve overall networking robustness. The achieved outcomes will be aligned with the H2020 Blue Growth challenges on the impact of Arctic changes, defining a networking solution that removes the need for costly and dangerous human expeditions for data collection. The impact of the proposed activities is in accordance with European initiatives, creating opportunities for the modernisation and efficiency of European stakeholders. This proposal will enable pioneering ICT-based solutions, including multi-disciplinary fields such as Cyber-Physical Systems and Satellite links for real-time monitoring. The conducted research work will be further steered by a specialised Scientific and Technical Advisory Board. This board counts with the collaboration of the host institution, the partner organisation hosting the secondment, as well as of two industry partners. This creates a unique opportunity for consolidating my real-world skills and reaching an improved impact. The dissemination and exploitation plans will build upon established contacts and actions, such as chairing activities in the related topics, while also engaging the relevant stakeholders. Technical results shall lead to the publication of 7 papers in scientific and technological peer-reviewed journals and conferences. Moreover, public engagement of non-specialists will be targeted with talks as a researcher and as an MSCA ambassador.

Keywords: machine to machine,software defined networking,intermittent networks,internet of things,routing,challenging environments,reliability,delay tolerant networks
Scientific Understanding and Provision of an Enhanced and Robust Monitoring system for RRI (SUPER_MoRRI)

Framework: Horizon 2020 — Science with and for Society
Programme: Integrate society in science and innovation issues, policies and activities in order to integrate citizens' interests and values and to increase the quality, relevance, social acceptability and sustainability of research and innovation outcomes in various fields of activity from social innovation to areas such as biotechnology and nanotechnology
Action type: Research and Innovation actions
Countries involved: Austria,Spain,Spain,Spain,Germany,Norway,Romania,Netherlands,Netherlands,Denmark
Call: Advancing the Monitoring of the Evolution and Benefits of Responsible Research and Innovation (H2020-SwafS-2018-1, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 2998820.0
EU funding (EUR): 2998820.0
Participants: 11
Project status: SIGNED

Across Europe, the need for a more dynamic governance and a better societal integration of research and innovation is increasingly appreciated. Internal drivers of change (such as the digitalization of science) and political will to better align with societal needs and concerns are bringing about aspirational policies and processes of transformation of the R&I system, including those of RRI – responsible research and innovation. In order for the aspirations of RRI to be realised, robust tools must be developed for R&I policy and practice. The MoRRI project (2014-2018) conceptualised and implemented the first RRI monitoring system in Europe. The SUPER_MoRRI project builds upon and continues the work of MoRRI, ensuring sustained data collection, curation, further assessment and refinement of the MoRRI indicators. EU-28(-27) data will be complemented by monitoring data from selected non-EU countries. Furthermore, SUPER_MoRRI will go well beyond the technical efforts of MoRRI and develop a more complete scientific understanding of the complex and diverse relationships between RRI policies and practices and their societal, democratic and economic benefits. These theoretical advances together with the continuous data stream into the project form the basis of the iterative learning processes needed to create a mature monitoring system with indicators and metrics that are robust, realistic, in themselves responsible, and easy to implement. To meet these ambitious research challenges, the original scientific partners of MoRRI have included complementary RRI expertise to form the truly interdisciplinary SUPER_MoRRI consortium. In line with the concept of RRI itself, our learning processes will also be enhanced by participatory co-creation practices with stakeholders. Last, but not least, the project includes a series of measures to facilitate dissemination of the mature monitoring system, including international benchmarking and an easy-to-customize online dashboard system.

Keywords: responsible metrics,research and innovation measurement,co creation,benefits of rri,rri self assessment,international benchmarking
Harmonic Analysis on Real Hypersurfaces in Complex Space (HARHCS)

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: Mathematics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-07-29
End date: 2021-07-28
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

This fellowship will enable the Experienced Researcher Dr. Gian Maria Dall'Ara and Dr. Alessio Martini, as Host Researcher based at the University of Birmingham, to carry out innovative research at the interface of harmonic and complex analysis. This very active research area has deep connections with the most disparate fields, from algebraic, complex and subriemannian geometry to analysis on Lie groups and numerical harmonic analysis. Despite the spectacular developments of the last decades, many fundamental problems remain open and several phenomena lack a conceptual explanation. Dall'Ara will bring a point of view influenced by mathematical physics in which some of the key questions are interpreted in terms of uncertainty principles for generalized Schrödinger operators, and he has already proved the effectiveness of this approach in a number of situations. Dr. Alessio Martini's mastery of harmonic analysis in various non-Euclidean settings will provide the crucial ingredient to disclose the full potential of these novel ideas. The project consists of various interconnected working packages, mainly focusing on two mathematical objects naturally attached to real hypersurfaces embedded in complex manifolds: Cauchy-Szegö projections and spectral multipliers of Kohn Laplacians. The former are higher dimensional incarnations of the classical Cauchy integral, and as such they are of central importance in modern complex analysis in several variables. The project will increase our understanding of the nature of their singularities and mapping properties under general geometric assumptions involving for example the Ricci curvature. Kohn Laplacians are the natural Laplacians in this context and the study of their spectral multipliers fits into a wider set of problems lying at the heart of contemporary harmonic analysis. Our methods are a combination of geometric analysis, singular integral theory and mathematical physics.
Semantically Connected Semiconductor Supply Chains (SC3)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Coordination and support actions
Partnership: ECSEL (Art-187)
Countries involved: Germany,Germany,Germany,Germany,France
Call: Digital Excellence (H2020-ECSEL-2020-4-CSA, 2020)
Start date: 2020-10-01
End date: 2023-11-30
Duration (months): 38.0
Total project cost (EUR): 1999835.0
EU funding (EUR): 1999835.0
Participants: 5
Project status: SIGNED

The semiconductor industry is characterised by complex supply chain structures. A common language and structure has to be developed and enrolled to enable smooth collaboration among different supply chain participants in this B2B (business to business) environment. SC³ relies on enabling a collaboration of industrial as well as academic stakeholders to ensure interoperability among semiconductor companies, and further industrial domains. SC³ implements an industrial reference platform as a de-facto standard (frequently used). This framework acts as a key enabler for realising an agile development - validation - refinement loop of a top-level ontology i.e. Digital Reference (DR). DR comprises a combination of different ontologies of semiconductor supply chains and supply chains containing semiconductors. To that end, the framework will support ontology governance e.g. development, archiving and indexing as well as the validation of high quality and interlinked ontologies and taxonomies. SC³ will incrementally add domain knowledge to the DR; the extended version of DR covers semiconductor domain vocabulary and related sub domains. The platform allows the involvement of all stakeholder groups in a customised fashion and proposes iterative engaging approaches for each community. The DR allows modularly including, developing and extending domain knowledge to provide a connected supply network structure. The project will follow a deliberate piloting methodology in order to deliver the demonstrators needed as proof-of-concept and for evaluation of project’s measurable objectives. SC³ activities will have a strong focus on sustainability and uptake of the project results, this includes on the one hand to keep the established community alive and on the other hand that the semiconductor data documentation, (i.e. the Generic Semiconductor Data Model) will be further developed and maintained even after the project duration.