Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
PlAtform for PrivAcY preserving data Analytics (PAPAYA)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Ensure privacy and freedom, including in the Internet and enhance the societal, legal and ethical understanding of all areas of security, risk and management
Action type: Innovation actions
Partnership: Cybersecurity PPP (cPPP)
Countries involved: Spain,Israel,Italy,Sweden,France,France
Call: Cybersecurity PPP: Privacy, Data Protection, Digital Identities (H2020-DS-SC7-2017, 2017)
Start date: 2018-05-01
End date: 2021-07-31
Duration (months): 39.0
Total project cost (EUR): 3763130.0
EU funding (EUR): 2949417.5
Participants: 6
Project status: CLOSED

The valuable insights that can be inferred from analytics of data generated and collected from a variety of devices and applications are transforming businesses and are therefore one of the key motivations for organisations to adopt such technologies. Nevertheless, the data being analysed and processed are highly sensitive and put the individuals’ rights to privacy at risk. With the imminent arrival of the European General Data Protection Regulation (GDPR), companies are coerced to adopt privacy enhancing technologies that, on the one hand, protect data to ensure their clients’ privacy and on the other hand, allow their processing while keeping them meaningful, useful, and protected at the same time. The PAPAYA project aims at addressing the privacy concerns when data analytics tasks are performed by untrusted third-party data processors. Since these tasks may be performed obliviously on protected data (i.e. encrypted data), the PAPAYA will design and develop dedicated privacy preserving data analytics primitives that will enable data owners to extract valuable information from this protected data, while being cost-effective and accurate. The PAPAYA project will consider compliance with the GDPR as a key enabler to provide solutions that minimize the privacy risks while increasing trust in third-party data processors by means of auditing and visualization modules (a dashboard). The PAPAYA primitives as well as the dashboard will be combined in an integrated platform that will be designed, implemented and validated through a set of use cases reflecting relevant real world applications (namely, healthcare analytics and web & mobile data analytics).

Keywords: data analytics,data confidentiality,user privacy
SYNergistic SORBents (SYNSORB)

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: Ireland
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 2497298.0
EU funding (EUR): 2497298.0
Participants: 1
Project status: SIGNED

This is the “Age of Gas”; disruptive new technologies must develop around the use of gases as fuels, therapies or feedstock chemicals. Specifically, new approaches to gas storage (transportation and delivery) and purification (commodities) are urgently needed to address the large energy footprint, cost and/or risk associated with existing technologies (e.g. chemisorbents). In particular, water and chemical commodity purification are global challenges, each consuming > 10% of global energy output. SYNSORB will reduce the energy footprint of purification processes through crystal engineering (design), characterisation (structure/function) and modelling (binding interactions) studies that enable understanding of how pore size /chemistry impact the properties and performance of physisorbents. Our objective is to find the energetic sweet spots that enable new benchmarks for selectivity and working capacity for gas (e.g. CH4, C2, C3) and vapour (e.g. H2O) purification at practically relevant conditions. Key scientific impacts include the following: (i) Understanding how pore size/chemistry impact selectivity, binding energy and kinetics of physisorption will afford fundamental knowledge concerning optimal pore size/chemistry for ultra-selective removal of both trace (< 1%) and bulk impurities. (ii) Trace gas removal from even binary gas mixtures was unattainable by physisorbents until recently, when new classes of ultramicroporous materials, HUMs (introduced by the PI in Nature, 2013, and Science, 2016) and AUMs were introduced. The nature of HUMs/AUMs means that they offer new benchmarks for selectivity by > one order of magnitude vs. zeolites and MOFs, thereby enabling removal of trace impurities. (iii) SYNSORB will address purification of multi-component gas mixtures that mimic real world gas mixtures by using bespoke sorbents for each trace impurity (see Scheme below), enabling 1-step removal of multiple impurities for the first time.
Targeting the "untargetable" by merging biological and chemical compound libraries (TARGET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Switzerland
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 2239500.0
EU funding (EUR): 2239500.0
Participants: 1
Project status: SIGNED

Genome sequencing combined with powerful new research technologies has greatly expanded the number of potential drug targets, offering enormous opportunities to address unmet medical needs. However, for proteins with flat, featureless surfaces or for protein-protein interactions, it has been difficult to impossible to generate ligands based on classical small molecules, hindering their evaluation as targets and the development of drugs. Herein, we propose a new method and its application for targeting the so-called "undruggable" proteins by tapping into a new chemical space, generated by "merging" biological and chemical compound libraries. In brief, millions of short cyclic peptides (4–6 amino acids) genetically encoded by phage display (generated with methods we established previously) will be expanded by combinatorially attaching via lateral groups > 1000 different chemical fragments in separate wells of microwell plates. We will develop a strategy that combines the elements of i) automation, ii) liquid transfer by acoustic dispensing, iii) single-round phage display panning, iv) "phage PCR" and a primer coding strategy, v) next-generation sequencing (NGS) and vi) computational sequence analysis to perform phage display selections with a library comprising > 1000 non-natural building blocks. We expect that this technology will deliver ligands to challenging proteins and facilitate their evaluation as drug targets. The ligands are kept small on purpose, below one kDa, and the polarity is limited so that they are more likely to be cell permeable and so they may directly serve as leads for the generation of oral drugs.

Keywords: drug development,undruggable targets,combinatorial libraries,cyclic peptides,phage display,high throughput screening,macrocycle drugs
POVERTY, INCOME, AND EMPLOYMENT NEWS (PIE News)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Croatia,Netherlands,United Kingdom,Portugal
Call: Collective Awareness Platforms for Sustainability and Social Innovation (H2020-ICT-2015, 2015)
Start date: 2016-07-01
End date: 2019-06-30
Duration (months): 36.0
Total project cost (EUR): 1994667.0
EU funding (EUR): 1994667.0
Participants: 10
Project status: CLOSED

The overall ambition of the PIE News project is to foster the emergence of commonfare as an alternative economic model to fight poverty, a condition affecting some 25% of the European population. Commonfare is a new collaborative form of welfare provision based on equitable governance and grassroots democracy. It entails the involvement of diverse stakeholders to facilitate the bottom-up arousal of collective practices tackling the needs of the new poor (precarious workers, working poor, NEETs, people left behind by safety nets). The consortium will achieve this goal through a Collective Awareness Platform (CAPS) which (a) informs people about existing welfare state provisions, (b) provides them with the means to share good practices on how to handle poverty-related issues, and (c) supports their abilities to network and to sustain real-life value. The project pioneers commonfare as a new social innovation goal by raising collective awareness on the threats connected to Poverty, lack of Income, and unEmployment (‘PIE conditions’), thus empowering the new poor and enabling the relevant stakeholders, e.g. polivcy makers, to tackle such threats more effectively. Three pilot actions (in Croatia, Italy, and the Netherlands) will drive the design and implementation of the PIE News project, triggering a public engagement process. PIE NEWS capitalizes on the collective power and skills of the ‘new poor’ promoting commonfare through actions that increase collective awareness on PIE Conditions. Such actions will be supported by an extensive dissemination strategy, including, e. g., open calls for the organization of bottom-up networking events. The PIE News platform will innovate the CAPS domain not only in terms of target population and, public design approach, but also by combining a reputation system as a way to remunerate labour with a digital currency as a mean of acquisition of good and services within and outside the platform.

Keywords: new forms of poverty,lack of income,unemployment,commonfare
Intelligent functional glazing with self-cleaning properties to improve the energy efficiency of the built environment (IntelGlazing)

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: United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-03-01
End date: 2022-05-31
Duration (months): 75.0
Total project cost (EUR): 1762823.0
EU funding (EUR): 1762823.0
Participants: 1
Project status: SIGNED

The latest forecast by the International Energy Agency predicts that the CO2 emissions from the built environment will reach 15.2Gt in 2050, double their 2007 levels. Buildings consume 40% of the primary energy in developed countries with heating and cooling alone accounting for 63% of the energy spent indoors. These trends are on an ascending trajectory - e.g. the average energy demand for air-conditioning has been growing by ~17% per year in the EU. Counterbalancing actions are urgently required to reverse them. The objective of this proposal is to develop intelligent window insulation technologies from sustainable materials. The developed technologies will adjust the amount of radiation escaping or entering a window depending upon the ambient environmental conditions and will be capable of delivering unprecedented reductions to the energy needed for regulating the temperature in commercial and residential buildings. Recognising the distinct requirements between newly built and existing infrastructure, two parallel concepts will be developed: i) A new class of intelligent glazing for new window installations, and, ii) a flexible, intelligent, polymer film to retrofit existing window installations. Both solutions will be enhanced with unique self-cleaning properties, bringing about additional economic benefits through a substantial reduction in maintenance costs. Overall, we aim to develop intelligent glazing technologies that combine: i) power savings of >250 W/m2 of glazing capable of delivering >25% of energy savings and efficiency improvements >50% compared with existing static solutions; ii) visible transparency of >60% to comply with the EU standards for windows ,and, iii) self-cleaning properties that introduce a cost balance. A number of technological breakthroughs are required to satisfy such ambitious targets which are delivered in this project by the seamless integration of nanotechnology engineering, novel photonics and advanced material synthesis.

Keywords: nanophotonics,large scale fabrication of nanostructures,manufacturing processes for photonic systems,energy efficient coatings,smart windows,energy efficiency improvement in the built environment
The breakthrough laser machining intelligence as saver of jobs and competitiveness for Europe's manufacturing business (SMAART)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany,Germany
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-12-01
End date: 2021-03-31
Duration (months): 28.0
Total project cost (EUR): 3185825.0
EU funding (EUR): 2230077.5
Participants: 2
Project status: CLOSED

EUR 9.01 trillion – this is the shockingly high amount of added value in manufacturing, which drained off from Europe to other world regions (particularly to regions with low production factor costs like Asia) in the last years. The reason for this can be mainly seen in cost differences of production factors. To retrieve added value to Europe, particularly manufacturing and machining processes have to be improved to greater efficiency. Driven by the vision of Smart Factories of the Future and Industry 4.0, the European Commission therefore starts a lot of initiatives, like the Digital Single Market in 2016. The EC expects that digitisation of products and services can add more than EUR 110 billion of annual revenue in Europe in the next five years. A technology predestined for making machining more efficient and for implementing Industry 4.0 in manufacturing is laser technology (as processing is contactless and therefore very flexible), especially the next level of laser machining based on ultrashort laser pulses resulting in high precision never existed before. Up to now, existing laser machining systems are fixed to only one incorporated laser and therefore limited in parameters and application. This results in the need of having many different laser systems for different applications and in long retooling and adjustment times. For the broad introduction of advanced laser machining in Europe’s manufacturing industry, neoLASE and GFH will during this project integrate the prototype of unique laser amplifier technology in a modular, self-adjusting and self-intelligent laser machining system to reach the next level of manufacturing. This system incorporates several seed lasers and optics, all combinable by the amplifier technology, and therefore has the functionalities of many laser systems in only one machine. This meets actual needs of economically producing highly individualised and customised products like implants also with a lot comprising one single item.

Keywords: lasers,optics,ultrashort pulsed lasers,material ablation,machining,manufacturing,smart factory
Chemistry and interface tailored lead-free relaxor thin films for energy storage capacitors (CITRES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Austria
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-04-01
End date: 2024-12-31
Duration (months): 69.0
Total project cost (EUR): 1996519.0
EU funding (EUR): 1996519.0
Participants: 1
Project status: SIGNED

The goal of CITRES is to provide new energy storage devices with high power and energy density by developing novel multilayer ceramic capacitors (MLCCs) based on relaxor thin films (RTF). Energy storage units for energy autonomous sensor systems for the Internet of Things (IoT) must possess high power and energy density to allow quick charge/recharge and long-time energy supply. Current energy storage devices cannot meet those demands: Batteries have large capacity but long charging/discharging times due to slow chemical reactions and ion diffusion. Ceramic dielectric capacitors – being based on ionic and electronic polarisation mechanisms – can deliver and take up power quickly, but store much less energy due to low dielectric breakdown strength (DBS), high losses, and leakage currents. RTF are ideal candidates: (i) Thin film processing allows obtaining low porosity and defects, thus enhancing the DBS; (ii) slim polarisation hysteresis loops, intrinsic to relaxors, allow reducing the losses. High energy density can be achieved in RTF by maximising the polarisation and minimising the leakage currents. Both aspects are controlled by the amount, type and local distribution of chemical substituents in the RTF lattice, whereas the latter depends also on the chemistry of the electrode metal. In CITRES, we will identify the influence of substituents on electric polarisation from atomic to macroscopic scale by combining multiscale atomistic modelling with advanced structural, chemical and electrical characterizations on several length scales both in the RTF bulk and at interfaces with various electrodes. This will allow for the first time the design of energy storage properties of RTF by chemical substitution and electrode selection. The ground-breaking nature of CITRES resides in the design and realisation of RTF-based dielectric MLCCs with better energy storage performances than supercapacitors and batteries, thus enabling energy autonomy for IoT sensor systems.
Tribological behaviour under loss of LUBrication of new optimized GEARs for friction reduction in power gearboxes (LUBGEAR)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Austria,Austria,Austria,Spain
Call: Advanced characterization of friction and surface damage for gears running in loss of lubrication conditions (H2020-CS2-CFP11-2020-01, 2020)
Start date: 2021-01-01
End date: 2023-10-31
Duration (months): 34.0
Total project cost (EUR): 1099946.25
EU funding (EUR): 1099946.25
Participants: 5
Project status: SIGNED

LUBGEAR aims at demonstrating gear design solutions which can withstand off-design conditions in geared turbofans without additional means (secondary/auxiliary lubrication). Those solutions combine 1) optimized gear geometry providing low power loss conditions; and 2) Surface and material combinations providing low friction. The solutions aim at reducing friction losses and frictional heat, leading to reduced temperatures and risk of scoring. This will allow producing gears which do not face catastrophic damage even under loss of lubrication in off-design conditions. An investigation of new enabling technologies regarding off-design conditions will be carried out in simulation and experiment at contact level (TRL2). The combination of material systems (roughness, coating and hardening), contact load, sliding speed, rolling speed, lubricant type and lubricant supply will be considered through a Design of Experiments, allowing LUBGEAR to create a unique database and extend contact modelling tools. Gear Design Optimisation takes into account the results from contact level and derives solutions coming from geometry, material systems, operating conditions and passive lubrication. A demonstration of the most promising design and technology solutions for gears will be validated in an experimental component test rig at TRL3 level. Gear modelling addresses the predictive design of off-design conditions. LUBGEAR project gathers 4 strategic partners based on a multidisciplinary approach combining uniquely engineering, tribology, mechanics and advanced chemistry. This will allow developing a gear design with an increase of over 100 % in scoring load and a reduction of over 50 % of frictional losses resulting in remarkable improvements in loss of lubrication conditions. LUBGEAR will assess the benefits of different gear designs including gear geometry, new material systems and passive lubrication technologies in reaching the efficiency and load capacity required for gearboxes.

Keywords: gears,tribology,lubrication,friction reduction,off design
Pilot-line providing highly advanced & robust manufacturing technology for optical free-form micro-structures (PHABULOUS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Austria,Austria,Germany,Austria,Germany,Austria,Spain,Switzerland,Belgium,Finland,Finland,France,France,Czechia,Netherlands,United Kingdom
Call: Photonics Manufacturing Pilot Lines for Photonic Components and Devices (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 17475773.0
EU funding (EUR): 14982777.290000001
Participants: 21
Project status: SIGNED

The urgent need to provide miniaturized optical components is at the origin of the exponential growth of the micro-optics market over the last decade, with an increasing need for free-form micro-optics to address the challenges set by the photonics market for the five to ten years to come. The industrial demand for free-form microlens arrays (FMLAs) is a current market reality. However, the high access barriers to pre-commercial production capabilities in Europe prevent companies, especially SMEs, from commercially exploiting the FMLA technology. Aim of the project is to set up a self-sustainable pilot-line for the design and manufacturing of FMLAs solutions and their integration into high added-value products. The consortium translates urgent and high-impact industrial needs into industrially relevant predictive software packages, manufacturing tools and processes, characterization methods for in- and off-line quality inspection and integration schemes, all necessary for the successful demonstration in pre-commercial production runs. Objective of the project is 1) to mature the FMLAs manufacturing processes and functionalities from the current technology readiness level TRL 5 to TRL 7 and increase the overall manufacturing readiness level of the pilot line from MRL 5 -6 up to MRL 8-9 by adaptation of predictive algorithms into simulation packages, optimization of different ultraprecision micro-machining technologies for the origination of high-quality FMLAs, optimization of high-throughput UV imprint technologies, integration of a surface coating technique portfolio, optimization of the metrology procedure; 2) to implement six industrial use-cases demonstrating pilot manufacturing in their operational environment; 3) to establish an open-access, sustainable, distributed pilot line infrastructure with single entry point; 4) to validate the pilot line services through the implementation of 20 industrial pilot cases.

Keywords: free form micro optics,uv imprint technologies,uv nil lithography,replication,wafer scale,roll to plate,roll to roll,micro optics design,micro manufacturing tools,pilot line production