Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Biopolymer combine with vegetAtion soiL treAtmeNt for stabilisation of transport infrastruCture Earthworks (BALANCE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 337400.64
EU funding (EUR): 337400.64
Participants: 1
Project status: SIGNED

Safe, efficient and secure transport infrastructure is a fundamental requirement to facilitate and encourage the movement of goods and people throughout not only the EU, but the whole world. The performance of these networks is critically dependent on the function of cutting and embankment slopes. Many of these transport earthworks in Europe were constructed over 100 years ago and are not designed for today’s vehicle speed, frequency and weather conditions. The long-term intensive dynamic loads generated from the moving vehicles combined with the severe wet-dry weather conditions induced by climate change, increase the likelihood of transport infrastructure earthwork failures. Subsequently, leading to costly disruption of road and rail journeys, with risk to life and property. The EU’s leading position in achieving the 2030 goal for sustainable development emphasises the urgency to develop a low-carbon, and sustainable engineering solution that not only can increase resilience and protect vital transport earthworks, but also to reduce the impact on ecosystems and restore soil organic carbon loss caused by human activities. The conventional engineering orientated solution alone is insufficient to solve the problem. Therefore, this fellowship leverages traditional soil mechanics with soil science through new insightful numerical modelling, UQ analysis, laboratory and field tests to advance slope bioengineering methods (SBMs) by utilising biopolymer and vegetation together for the reinforcement. This technique is an aesthetically-pleasing, environmentally and ecologically-friendly alternative to traditional "hard" engineering methods, providing the additional environmental and societal benefits of carbon fixation, enhanced biodiversity and ecosystem restoration within the built environment. The knowledge and tools from this project can potentially be utilized in other areas, e.g. river bank, sand dunes, flood embankments management and agricultural and amenity systems.

Keywords: cyclic loading,biopolymer,vegetation,slope stability,soil ecosystem
A dynamical view of binding affinity (BAP)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-01
End date: 2017-09-30
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Almost all critical functions in the cell rely on specific protein-protein interactions (PPIs). Understanding interactions is therefore a crucial step in the investigation of biological systems and in drug design. Despite all the research efforts that have been devoted to unravel principles of PPIs in the past decades, we still lack a thorough understanding of the energetics of proteins association, which is limiting our ability to consistently predict protein complexes, engineer high-affinity interactions and design new drugs. An improved understanding of protein binding affinity holds the key for resolving some of the most important problems in molecular biology, with wide implications in related fields. In this project I propose a novel approach to reliably predict the binding affinity by adding the so-far neglected dynamical dimension to the problem. Unlike traditional methods like empirical energy-based scoring, I will assess the conservation of interface contacts in protein complexes during dynamics trajectories. By correlating such properties to experimental binding affinities, a new predictor will be developed. Preliminary results on limited set of complexes already indicate that this approach has a great potential, outperforming any predictor proposed to date. Moreover, I will expand this novel approach and assess its applicability to other critical research fields related to biomolecular interactions, such as docking and proteins and interactions engineering. This project will allow me to reinforce and further expand my skills and expertise, create new collaborations and reinforce my position as researcher in Europe, which will enable me to reach full independency in the future.

Keywords: protein protein interactions,binding affinity,protein dynamics
Security and Privacy Accountable Technology Innovations, Algorithms, and machine Learning (SPATIAL)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Improve cyber security
Action type: Research and Innovation actions
Countries involved: Estonia,Ireland,Germany,Spain,Germany,Finland,Serbia,France,Netherlands,Netherlands
Call: Intelligent security and privacy management (H2020-SU-DS-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 4961976.25
EU funding (EUR): 4961976.25
Participants: 13
Project status: SIGNED

The SPATIAL (Security and Privacy Accountable Technology Innovations, Algorithms, and machine Learning) project seeks to address the challenges of black-box AI and data management in cybersecurity by designing and developing resilient accountable metrics, privacy-preserving methods, verification tools and system framework that will serve as critical building blocks to achieve trustworthy AI in security solutions. The main objectives include: 1) To develop systematic verification and validation software/hardware mechanisms that ensure AI transparency and explainability in security solution development; 2) To develop system solutions, platforms, and standards that enhance resilience in the training and deployment of AI in decentralized, uncontrolled environments; 3) To define effective and practical adoption and adaptation guidelines to ensure streamlined implementation of trustworthy AI solutions; 4) To create an educational modules that provide technical skills, ethical and socio-legal awareness to current and future AI engineers/developers to ensure the accountable development of security solutions; 5) To develop a communication framework that enables accountable and transparent understanding of AI applications for users, software developers and security service providers. Besides technical measures, SPATIAL project aims to facilitate generating appropriate skills and education for AI security to strike a balance among technological complexity, societal complexity and value conflicts in AI deployment. The project covers data privacy, resilience engineering, and legal-ethical accountability that are in line with EU top agenda to achieve trustworthy AI. In addition, the work carried out in SPATIAL on both social and technical aspects will serve as a stepping stone to establish an appropriate governance and regulatory framework for AI-driven security in Europe.

Keywords: trustworthy ai for cybersecurity,accountability,privacy preservation,resilience engineering,explainable ai,trusted execution environments tee
One-Stop-Shop Open Access to Photonics Innovation Support for a Digital Europe (PhotonHub Europe)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Germany,Italy,Germany,Spain,Spain,Ireland,Italy,Italy,Italy,Austria,Germany,Germany,Spain,Spain,Spain,Spain,Ireland,Finland,Sweden,Switzerland,Belgium,Poland,Switzerland,Belgium,Finland,Greece,Greece,Lithuania,Sweden,Switzerland,Belgium,Poland,Bulgaria,Belgium,France,France,France,France,France,France,France,France,France,France,France,France,France,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Photonics Innovation Hubs (H2020-DT-2020-1, 2020)
Start date: 2021-01-01
End date: 2025-04-30
Duration (months): 52.0
Total project cost (EUR): 19818937.25
EU funding (EUR): 18999931.28
Participants: 81
Project status: SIGNED

PhotonHub Europe will establish a single pan-EU Photonics Innovation Hub which integrates the best-in-class photonics technologies, facilities, expertise and experience of 53 partners from all over Europe, including the coordinators of EU pilot lines and local photonics hubs representing 18 regions, as a one-stop-shop solution offering a comprehensive range of supports to industry for the accelerated uptake and deployment of photonics. PhotonHub will provide European companies, in particular “non-photonics” SMEs and mid-caps that are first users and early adopters of photonics, with open access and guided orienteering to the following key support services: training and upskilling opportunities within PhotonHub’s Demo and Experience Centres throughout Europe and enhanced by digital tools for online learning; “test before invest” innovation support capabilities to engage with companies on highly collaborative Innovation Projects aimed at TRL acceleration from prototyping (TRL3-4) to upscaling (TRL5-6) to manufacturing (TRL7-8), and complemented by targeted business and IP advisory supports; and support to find investment through investment-readiness coaching and investor match-making organised in collaboration with major regional and European venture fora and deep tech Investor Days. PhotonHub will uniquely support cross-border innovation activities of European companies, while simultaneously working closely with the local photonics hubs to develop and roll out best practices of the “lighthouse” regions for ongoing regional financial support of SME innovation activities and to support the creation of new innovation hubs covering most regions of Europe. Finally, PhotonHub will fine-tune and implement its business plan for long-term sustainability in the form of the PhotonHub Europe Association as a durable entity which is deeply rooted within the wider ecosystem of local, regional and EU-DIHs for maximum leverage and impact on European competitiveness and sovereignty.

Keywords: smes,awareness building,orienteering,training,deep innovation support,investment coaching,regional leverage,eu dihs,sustainability,economic impact
Twinning towards excellence in alternative methods for toxicity assessment (TWINALT)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Italy,Belgium,Norway,Poland
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2020-11-01
End date: 2023-10-31
Duration (months): 36.0
Total project cost (EUR): 899892.5
EU funding (EUR): 899892.5
Participants: 4
Project status: SIGNED

The objections to animal experiments which have accumulated on both ethical and scientific grounds drive the development of new alternative approaches which do not use animals. Despite the plethora of available alternative methods in different fields of safety assessment, there are still either no validated animal-free replacement methods for some toxicity endpoints or they need a thorough improvement/development. NIOM, as an institute from the Widening Country, aims to increase its capacity (portfolio) towards available in vitro methods for toxicity testing. TWINALT project aims to: i) significantly strengthen the research position of NIOM in the field of alternative methods to toxicity assessment by linking it with 3 prominent scientific partners in this field from Belgium (VUB), Norway (NILU), and Italy (UMIL); ii) enhance the S&T capacity of the 4 linked institutions with a principal focus on the NIOM; iii) commercialize and integrate the TWINALT research with the needs of society at the local, regional, national, European and global level. Five research areas have been identified to be focused on in TWINALT: i) modern methods for cytotoxicity assessment (High Throughput/Content Screening); ii) new cell models in alternative methods (co-cultures, 3D models); iii) standard/modern alternative methods for genotoxicity and carcinogenicity assessment; iv) characterization of cell-nanomaterial interactions under in vitro conditions; v) in silico methods in safety assessment. The work will be organized into 4 packages: i) elaboration of a common RTD and innovation strategy on alternative methods; ii) exchange of know-how with partners through training mobilities; iii) communication, exploitation and dissemination activities (web-site, regional and international events, joint publications, press releases, education, contacts with industrial sector); iv) management.

Keywords: alternative methods,toxicity assessment,in vitro,cell cultures,high throughput screening,in silico
Chemical Space for Antimicrobials on a Peptide Basis (SPACE4AMPS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Switzerland
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 2495285.0
EU funding (EUR): 2495285.0
Participants: 1
Project status: SIGNED

Multidrug resistant (MDR) bacteria represent a global public health threat against which new drugs are urgently needed. Antimicrobial peptides (AMPs), mostly derived from naturally occurring linear or cyclic peptides, can contribute to solving the problem. AMPs are already in clinical use, do not easily lead to resistance, and can rely on a strong manufacturing sector and established protocols for clinical development. However, most AMPs are degraded by proteases and have poor pharmacokinetics. SPACE4AMPS aims to identify new AMPs with diverse peptide chain topologies and building blocks and with the following characteristics: i) Broad activity spectrum, ii) High activity, iii) Low probability for induced resistance, iv) Low proteolysis, v) Better pharmacokinetics. To reach its goal SPACE4AMPS will create computational tools to explore the extremely vast chemical space of large molecules such as peptides and natural products, which now lies within reach of the latest computer hardware developments. To better understand antimicrobial drugs, we will design a molecular fingerprint relating antimicrobial activity to molecular structure and use it to draw a tree-map of the antimicrobial chemical space. We will enrich this map with new compounds from generative models using neural networks. To identify new AMPs, we will use a genetic algorithm carrying out cycles of molecule generation and similarity calculations to select cyclic peptides and peptide dendrimers including lipidated, peptoid (N-alkyl glycines) and N-methylated residues, synthesize and test these molecules against MDR bacteria, fungi and parasites, screen actives for toxicity, and study their structure and mode of action. By its ground-breaking and unprecedented computational/synthetic/biological approach, SPACE4AMPS can help solve the antibiotics crisis, revolutionize knowledge on antimicrobial compounds, and create new methods enabling computer-aided drug discovery for large molecules.

Keywords: cheminformatics,data visualization,machine learning,drug discovery,peptides,dendrimers,peptoids,diversity oriented synthesis
SFOOT - Development of single fibre data transport system (SFOOT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Slovenia
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-08-01
End date: 2016-12-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Current trends in IT require increasing data transfer speeds in fixed and mobile networks, cloud services and virtualization that all require several high bandwidths communication channels to come closer to the end user. This need is not adequately serviced by traditional two fibre data transport systems that are designed to create large backbone (country wide) transport systems with high number of channels. Xenya d.o.o. proposes a solution in data communication over optical fibre that will enable cost effective solutions of transporting data for small to medium scale data transport systems that cover short to medium distances. The proposal applies to: SMEInst-01-2016-2017: Open Disruptive Innovation Scheme programme. Compared to the traditional systems that are built on a pair of optic fibres the proposed solution uses a single optic fibre. Consequently, significant reduction in communication system complexity (less equipment, simpler design, simpler implementation, higher reliability, effective network operation management) is achieved. The economic impact of the solution on lower costs for data transport over optical fibres is evident at first sight but all impacts are quite complex to de defined and have two aspects: the cost reduction and the consequent market growth. The solution is targeting SMEs, as it allows the users to appropriately align the supporting IT and communication technology with the business (right performance for affordable costs). Estimated time for the development: 1,5 years Funds requested: 0,9 million EUR

Keywords: optical transport system,optical transport network,cwdm,dwdm
EEN Anatolia supports to increase the innovation management capacities of SMEs (EENinnoSMES)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Türkiye,Türkiye,Türkiye,Türkiye
Call: Enhancing the innovation management capacity of SMEs (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 94878.0
EU funding (EUR): 75902.40000000001
Participants: 6
Project status: CLOSED

The proposed project addresses the action for “Establishing services “Enhancing the innovation management capacity of SMEs” in the Enterprise Europe Network” to improve the innovation management capacity of SMEs. In the period covering the years 2008-2014, Tier 1 and Tier 2 services were offered to SMEs by EEN Anatolia Consortium. (The contents of Tier 1 and Tier 2 were respectively generic promotion, networking services given by EEN staff and specialized advisory services given by innovation advisers). The activities foreseen under this proposal is to give Tier 3 services to SMEs. 64 full enhancing SMEs’ innovation management capacity service packages and 8 Key Account Management service packages will be offered to SME’s till the end of 2016 and every service package is foreseen as 7 days in the proposal.

Keywords: innovation management,key account management
Digital Innovation Hubs in Healthcare Robotics (DIH-HERO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Italy,Italy,Germany,Germany,Spain,Spain,Italy,Germany,Switzerland,Serbia,Belgium,Poland,France,Netherlands,United Kingdom,Denmark
Call: Robotics - Digital Innovation Hubs (DIH) (H2020-DT-2018-1, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 19591394.33
EU funding (EUR): 19485844.330000002
Participants: 18
Project status: SIGNED

DIH-HERO (Digital Innovation Hubs in Healthcare Robotics) will establish a broad-based pan-European network of Digital Innovation Hubs specialising in Healthcare Robotics. The network will focus on developing services that join business and healthcare stakeholders in developing innovative products and services for the healthcare market. DIH-HERO will develop channels between healthcare and technology providers that reduce barriers to adoption and which develop strong mutual understanding between robotics technology innovators and healthcare professionals. DIH-HERO will operate throughout the healthcare "pathway" that connects Prevention, Diagnosis, Treatment and Care as well as covering all aspects of hospital logistics and clinical services. It will also focus on home and care-based robotics addressing healthy aging and elderly care. The DIH-HERO consortium brings together a comprehensive network of partners reaching north, south, east and west across the European regions. The partners bring with them connection to their own regional networks and extensive expertise in healthcare innovation that ranges from surgical intervention to care at home. Each Hub partner delivers both technical and medical expertise to the consortium through their pre-existing operational relationships with hospitals and healthcare facilities. They couple in-built expertise in business development, access to finance and innovation to robotics technology and healthcare expertise in a network of hubs that will connect and stimulate robotics innovation in all aspects of healthcare. DIH-HERO is built on concrete plans to sustain the network beyond the time span of the project and to provide a long term network for innovators in healthcare. The network of Digital Innovation Hubs created and supported by DIH-HERO will ensure that robotics innovation in healthcare is accelerated, that SME can develop global reach and that the advantages of robotics based healthcare can be propagated across Europe.

Keywords: digital innovation hubs,connectivity,services,community,network of hubs