Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Port IoT for Environmental Leverage (PIXEL)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Spain,Croatia,Greece,Greece,Slovenia,France,France,France,France,France,France,United Kingdom
Call: The Port of the future (H2020-MG-2017-Two-Stages, 2017)
Start date: 2018-05-01
End date: 2021-09-30
Duration (months): 41.0
Total project cost (EUR): 4890222.5
EU funding (EUR): 4890222.5
Participants: 19
Project status: CLOSED

Ports are a great example of heterogeneous information hubs. Multiple stakeholders operate inside and outside them with different motivations and businesses. Although document and data interchange is already in place through Port Community Systems (PCS), the interchange is limited to official documentation and services of the Port Authority, such as custom declarations, import/export of cargo, and other formal documents. However, an effective integration of operational data is far from optimal in most ports, and especially so in medium or small ports, where budget is limited and IT services usually is outsourced. In contrast, the available operational data (resources tracking, container status, vessel operations, surface or berth available, air/water quality measurements,...) is constantly increasing and technology is getting inexpensive and widely available. However, the application of such systems is still single-entity centric, since the information is not shared, keeping the real potential of the Internet of Things (IoT) and Industry 4.0 hidden. The same holds for geographic areas surrounding ports, where Smart Cities integrate various data systems and provide valuable services to citizens and authorities. PIXEL will enable a two-way collaboration of ports, multimodal transport agents and cities for optimal use of internal and external resources, sustainable economic growth and environmental impact mitigation, towards the Ports of the Future. PIXEL will leverage technological enablers to voluntary exchange data among ports and stakeholders, thus ensuring a measurable benefit in this process. The main outcome of this technology will be efficient use of resources in ports, sustainable development and green growth of ports and surrounding cities/regions. Built on top of the state-of-the art interoperability technologies, PIXEL will centralise data from the different information silos where internal and external stakeholders store their operational information.

Keywords: environmental monitoring,green transport,interoperability,multimodality,port efficiency,connected logistics
Disruptive Free Space Optics solution for small cell backhaul (StreetHopper)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Norway
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-2-2014, 2014)
Start date: 2015-07-01
End date: 2017-04-30
Duration (months): 22.0
Total project cost (EUR): 2288272.5
EU funding (EUR): 1601790.75
Participants: 1
Project status: CLOSED

The overall vision of the StreetHopper project is to commercialise our disruptive compact low-cost Free Space Optics [FSO] data link capable of providing excellent mobile network service and cost-effectively deliver high data speeds and capacity – thereby contributing to solving the industrial and societal problem of dramatically increased data traffic demand globally. Our prototype was developed during the FP7 ConnectToo project (GA #315421), where the major outcome was our fully functional and validated FSO 1Gbps data link prototype (TRL7). The aim of our project is to move our prototype to full commercialisation on to the US and subsequently EU markets. To increase our commercial success and impact, we have created a Strategic Business Plan [SBP]. Our SBP was developed during the ‘Phase I-type’ feasibility study in cooperation with companies like Ericsson, Nokia, and AT&T as a detailed roadmap, describing all the necessary activities to ensure successful market introduction. Now we seek to develop our Commercialisation Plan [CP], which will form an important part of our final Business Innovation Plan [BIP], to be created in this Phase II project. In order to successfully implement StreetHopper and subsequently execute our BIP and CP, we have outlined five Commercialisation Objectives [CommOs]. Each objective will be achieved through the execution of a set of targeted activities focusing on market maturation, thereby removing remaining barriers hampering successful commercialisation allowing us to enter the small cell backhaul market to secure our market position globally. We have defined the following specific, sequential and quantifiable CommOs: 1. Technology maturation 2. Piloting 3. Supply chain development 4. Product launch development 5. BIP Development By successfully progressing through the StreetHopper project, we will create measurable impact on our company quantified to realised accumulated revenues of €153M four years post project (2020).

Keywords: mobile network operators,free space optics,small cells,backhaul
Development of functional genomic screens to identify conserved host cell processes targeted by fungal effector proteins (EffectorTargets)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-09
End date: 2017-09-08
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

In nature, fungi live in close contact with many different hosts: plants, other fungi, insects and even vertebrates including humans. They do so because the host often supplies key nutrients, which enables the fungus to grow and successfully reproduce. In many cases though, a fungus can act as a parasite and infects the host. As a result, the host mounts an immune reaction to combat the fungal infection. The fungus, in turn, has evolved ways to circumvent the immune reaction. This “arms race” between fungus and host has given rise to a plethora of secreted proteins that the fungus uses to suppress the host immune responses and circumvent host defence reactions. These secreted proteins from fungi that function in this arms race are commonly known as “effectors”. A very important plant pathogenic fungus that is predicted to encode close to 500 of such effector proteins is the barley powdery mildew fungus Blumeria graminis f. sp. hordei. Unravelling the functions of these effector proteins will provide important insights into fungal pathogenicity and host immunity. To date, the roles of the vast majority of the effector proteins are unknown. One way to elucidate the functions of these numerous effector proteins is to express each separately in model eukaryotic organisms like yeast, Saccharomyces cerevisiae, or algae, Chlamydomonas reinhardtii and identify conserved cellular targets of these effector proteins. This approach has proven to be very successful in identifying targets of bacterial effector proteins. In the project described here, this yeast- and algae-based system will be applied for the first time for fungal effector proteins. Effectors are, besides being used by fungi to infect plants and other organisms, also a potential new source to rewire cells. When interesting conserved targets of these effectors are found, it opens up ways to use them in biotechnology and for medical purposes.

Keywords: plant pathogen,effector protein,yeast,chlamydomonas reinhardtii,cellular targets,high throughput screening
Enhancing Critical Infrastructure Protection with innovative SECurity framework (CIPSEC)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Innovation actions
Countries involved: Germany,Spain,Germany,Spain,Israel,Italy,Greece,Romania,Greece,Switzerland,United Kingdom,United Kingdom
Call: The role of ICT in Critical Infrastructure Protection (H2020-DS-2015-1, 2015)
Start date: 2016-05-01
End date: 2019-04-30
Duration (months): 36.0
Total project cost (EUR): 7017235.0
EU funding (EUR): 5258316.25
Participants: 16
Project status: CLOSED

In recent years, the majority of the world's Critical Infrastructures CIs evolved to become more flexible, cost efficient and able to offer better services and conditions for business opportunities. Towards this evolution, CIs and companies offering CI services had to adopt many of the recent advances of the Information and Communication Technologies (ICT) field. This adaptation however, was rather hasty and without thorough evaluation of its impact on security. The result was to leave CIs vulnerable to a who the new set of threats and attacks that impose high levels of risk to the public safety, economy and welfare of the population. In so far, the main approach to protect CIs is to handle them as comprehensive entities and offer them a complete solution for their overall infrastructures and systems (IT&OT departments). However Complete CI protection solutions exist in the form of individual products from individual companies. These products integrate only and tools/solutions designed by the same company, thus offering limited technical solutions. The main aim of CIPSEC is to create a unified security framework that orchestrates state-of-the-art heterogeneous security products to offer high levels of protection in IT (information technology) and OT (operational technology) departments of CIs. As part of this framework CIPSEC will offer a complete security ecosystem of additional services that can support the proposed technical solutions to work reliably and at professional quality. These services include vulnerability tests and recommendations, key personnel training courses, public-private partnerships (PPPs) forensics analysis, standardization and protection against cascading effects. All solutions and services will be validated in three pilots performed in three different CI environments (transportation, health, environment). CIPSEC will also develop a marketing strategy for optimal positioning of its solutions in the CI security market.

Keywords: critical infrastructure protection,cybersecurity,early anomaly detection,denial of service attacks
Symbiotic Human-Robot Solutions for Complex Surface Finishing Operations (SYMPLEXITY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Germany,Italy,Italy,Germany,Italy,Germany,Germany,Sweden,Sweden,Greece,Poland,France,Netherlands,United Kingdom,United Kingdom
Call: Symbiotic human-robot collaboration for safe and dynamic multimodal manufacturing systems (H2020-FoF-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 8022267.87
EU funding (EUR): 6660525.0
Participants: 19
Project status: CLOSED

In nearly every sector of industrial manufacturing polishing techniques are used. But often manual polishing is the only option because the tasks are too complex to be automated. Therefore in SYMPLEXITY Symbiotic Human-Robot Solutions for Complex Surface Finishing Operations will be developed. The main SYMPLEXITY Objectives are SO 1 – Accurate and cognitive industrial robot systems enabling safe human-robot collaboration for surface finishing operations SO 2 – Easy to use interfaces for planning, control and re-planning of shared finishing tasks SO 3 – Collaboration oriented process technology for abrasive finishing, laser and fluid jet polishing SO 4 – Integrated and autonomous sensing system for objective identification of surface properties SO 5 – Introduction of developed collaborative finishing solutions into manufacturing industry In SO5 the results of the first 4 objectives will be combined to 3 demonstrator human-robot collaboration cells, one for each of the investigated process technologies. The 3 demonstrator cells will be tested in operational environment at 3 end-users. SYMPLEXITY is the consistent continuation of 3 recent EU projects that achieved TRL 4-5: COMET – Plug-and-produce COmponents and METhods for adaptive control of industrial robots SAPHARI – Safe and Autonomous Physical Human-Aware Robot Interaction poliMATIC – Polishing processes and tools development SYMPLEXITY will bring together the results and key partners of these 3 projects to achieve TRL7 and thereby support the European Industry to win the competition in the global market with higher quality, efficient manufacturing and economic production, based on human robot collaboration for polishing complex shaped metallic surfaces. Relevant branches are tool making, medical engineering, aeronautics and automotive industry. Case studies show, that for many applications todays >90% of manual work can be converted in 80 % of robotic work under human control and 20 % of manual work.

Keywords: surface finishing,human robot,manufacturing,polishing
Statistical Learning for Dynamical Systems (STALDYS)

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-2017, 2017)
Start date: 2019-02-01
End date: 2021-03-04
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The proposed research aims to establish groundbreaking new computational methods for the analysis of deterministic, control and random dynamical systems by using tools from the field of Statistical Learning Theory (a.k.a. Machine Learning). These three related system types constitute a very active research area with a wide range of applications, including climate studies, power systems, autonomous vehicle control, aircraft control, robotics, finance and chemical engineering. In many applications the understanding of such systems requires the availability of efficient, high-performance algorithms and a key innovative aspect of this proposal is the development of a unified theory for computational dynamics that has the potential to establish a new field at the intersection of machine learning and dynamical systems theory.

Keywords: dynamical systems,control theory,machine learning
Water treatment and reuse technology based on constant water quality monitoring thanks to multi-censoring and AI-Deep Learning software for the Food Industry (FOODWATERH2020)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Every year in Europe, 3,6 Gm3 of fresh water is used for the food industry. This represent a cost of up to 14,5 G€/year considering both cost of fresh water and water disposal. Depending on the water quality used to wash and process food products, harmful bacteria (e.g. E.Coli, Salmonella, Listeria) can be rapidly contaminate food and expose consumers to serious illnesses. On the other side, around 88 Mtons of food waste are generated annually in Europe with associated costs estimated at 143G€ and carbon footprint of 170Mt of CO2. Current solutions for water recycling are either using old technics such as settling ponds (80% of the market) or recycling industrial systems (20% of the market). They show several important inconvenient such as high ground footprint, low water recovery rate, low contaminant removal rate, high energy consumption, non-automatized system, etc. FOODWATERH2020 is the first fully automatized and compact solution which monitor constantly the water quality thanks to its highly precise multi sensors combined with an embodied IA software based on Deep Learning Technology which allow to: 1) recover up to 99% of food process water, 2) Reduce up to 10 times current costs of food process water (down to 0,40-0,80€/m3), 3) Remove up to 99% of water contaminant such as non-systemic pesticides (from food surface), pathogens, clay and sand, 4) provide a 100% reliability on food safety by always respecting food standards and eliminating food returns to our clients, 5) increase up to 54% the shelf life of food products, 6) Reduce by 30-35% the energy footprint compared to current compact solutions and 7) Reduce the ground footprint up to 20 times compare to ponding systems. VAM WaterTech B.V. (Nederland) is a well-established engineering SME founded in 1995 with an annual turnover of 5,9 M€ (in 2018 – forecasting 6,6M€ for 2019), 19,5 FTE employees and with an orderbook full until April 2020.

Keywords: water treatment,industrial wastewater reuse,food industry,food quality,water quality monitoring,ai software,deep learning technology,pathogen removal,pesticide removal,water quality sensors
Can we Mitigate Climate Change through Financial Regulation? (ClimateFinReg)

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: Economic Sciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Climate change is one of the most pressing problems of humanity. And yet the carbon emissions have not decreased but increased since 2006. The present project presents a novel approach to achieve a global reduction of carbon emissions in the coming decades by harnessing the power of financial regulation. We will concentrate on the challenges to make this approach work, as well as on the opportunities it presents, to achieve a practical solution for this extremely difficult problem. We argue that financial stability regulation is sufficiently powerful to change the incentives for firms and reduce significantly their carbon footprints. The substance of the argument starts from the observation that financial systems are increasingly interconnected. This increasing interconnection has led regulators to give a larger role to a macroprudential approach in their activities. That is, they intend to reduce risks to the whole financial system, what they call “systemic risks,” rather than simply risks to individual institutions. Our work stems from a large emerging literature about contagion in financial networks, and will explore its implications for climate change mitigation and financial regulation. The substance of this project is to answer a series of questions about the viability and desirability of this policy. It will be structured around three work packages. WP1, will analyse the expected distribution of shocks that arises from climate change. It will also study their impact to the financial system. The other two works packages will explore two key determinants of adoption of the policy. In WP2 we explore the impact of the large uncertainty about the effects of climate change on the mindset of regulators. In WP3 we study the transmission of social attitudes and social norms into the decision processes of legislators and regulators.

Keywords: financial regulation,social networks,contagion,experiments
Entanglement distribution via Semiconductor-Piezoelectric Quantum-Dot Relays (SPQRel)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Austria,Italy
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-03-01
End date: 2021-11-30
Duration (months): 69.0
Total project cost (EUR): 1499962.5
EU funding (EUR): 997162.82
Participants: 2
Project status: CLOSED

The development of scalable quantum devices that generate and distribute quantum entanglement over distant parties will bring about a revolution in communication science and technology. Epitaxial quantum dots (QDs) embedded in conventional diodes are arguably the most attractive quantum devices, since they combine the capability of QDs to deliver triggered and high-quality entangled photons with the tools of the mature semiconductor technology. However, it is at present impossible to use remote QDs for the distribution of entangled photons over large distances, mainly due to the lack of control over their electronic structure. Recently, the PI has grasped that the solution to this problem resides in hybrid technologies. He has conceived and developed a novel class of semiconductor-piezoelectric quantum devices where different external fields are combined to reshape the electronic structure of any arbitrary QD so that single and polarization-entangled photons can be generated with unprecedented quality, efficiency, and speed, a major breakthrough for solid-state-based quantum communication. In this project the PI will make the next pioneering step and develop the hybrid technology to the limit where advanced quantum communication protocols previously inaccessible to QDs can now be performed. The objective of the proposal is mainly to i) develop the first electrically-controlled wavelength-tunable source of indistinguishable and entangled photons, which can be exploited to ii) teleport entanglement over two distant QD-based qubits (the quantum relay) and to iii) attempt the construction of a quantum network where entangled photons from remote quantum relays are interconnected using warm atomic vapours. The new hybrid technology that will be developed in this project to achieve i) will open new grounds in research fields well beyond quantum optics and quantum communication, and in particular the whole research area of strain-engineering of semiconductor thin-films.