Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
CellCount – a revolutionary testing platform to solve current problems with microbiological contamination in water and food industries (CellCount)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-09-01
End date: 2021-03-31
Duration (months): 31.0
Total project cost (EUR): 3136382.75
EU funding (EUR): 2195467.92
Participants: 1
Project status: CLOSED

Food- and water-borne illnesses are common and preventable public health issues. Hundreds of millions of samples are tested each year to detect harmful bacteria in drinking and environmental water, food and beverages. Pathogens such as Legionella, Pseudomonas, Giardia/Cryptosporidium, Salmonella, Campylobacter and E. coli (O157:H7), cause disease and lead to enormous economic damage. Events such as, the 2013 Legionella outbreak in Warstein, Germany, with over 185 cases of disease, or the Danish Listeria outbreak of summer 2014, with 12 reported deaths and the shutting down of the meat producing company, painfully demonstrated the limitations of current testing methodologies. Long testing times, and insufficient analytical quality in results lead to unsuccessful countermeasures, spread of the disease, and waste of energy and biocides, and financial loss for the organisations involved. CellCount is a novel testing technology that delivers fully quantitative test results at an unmatched speed. CellCount revolutionizes the pathogen detection market by combining various new technologies, already well-established in the academic environment, and applying them to industrial applications. Due to its novel sample preparation and pathogen detection technology, CellCount provides a quantitative pathogen detection result within one hour, compared to days and weeks for other methods.
Innovative, Non-invasive and Fully Acceptable Exploration Technologies (INFACT)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Research and Innovation actions
Countries involved: Ukraine,Germany,Ireland,Spain,Spain,Spain,Italy,Germany,Germany,Germany,Italy,South Africa,Germany,Belgium,Serbia,Türkiye,Bulgaria,Greece,Croatia,Hungary,Poland,Romania,Slovenia,Finland,Finland,Finland,Finland,France,Czechia,Portugal,Denmark,United Kingdom
Call: New solutions for sustainable production of raw materials (H2020-SC5-2017-OneStageB, 2017)
Start date: 2017-11-01
End date: 2021-01-31
Duration (months): 39.0
Total project cost (EUR): 5624029.59
EU funding (EUR): 5624029.59
Participants: 37
Project status: CLOSED

Exploration discovery of raw material resources requires innovations that either change the geological targets of exploration, the physical places that are reached, or the manner in which they are explored. Despite its rich history of mining and residual mineral wealth, current conditions within the EU present a number of social, political, legislative, cost, technical and physical obstacles to raw material exploration: obstacles to be overcome by innovation, dialogue and reform. The Innovative, Non-invasive and Fully Acceptable Exploration Technologies (INFACT) project unites stakeholders of Europe’s future raw materials security in its consortium and activities. Via effective engagement of civil society, state, research and industry, the project will focus on each of these obstacles. It will co-develop improved systems and innovative technologies that are more acceptable to society and invigorate and equip the exploration industry, unlocking unrealised potential in new and mature areas. The project will develop innovative geophysical and remote sensing technologies (less-invasive than classical exploration methods) that promise to penetrate new depths, reach new sensitivities and resolve new parameters. The project will also set the EU as a leader on the world stage by establishing permanent infrastructure to drive innovation in the next generation of exploration tools: tools that are cost-effective, designed for EU conditions and its raw materials strategy, and high-performing in terms of environmental impact, social acceptability, and technical performance. INFACT is comprised of the following main components: Development and test of innovative, non-invasive exploration technologies Foundation of 3 test sites for exploration technology in the south, centre and north of Europe Stakeholder engagement, education and policy reform These actions combine to reach each of the main areas in which the EU has the power to influence change in its raw materials security.

Keywords: sustainable and acceptable exploration technologies,non invasive exploration,stakeholder engagement,installation of exploration test sites,certification of technologies
Support IT solution for creative fashion designers by integrated software systems to collect, define and visualize textile and clothing trends through innovative image analysis from open data (SOMATCH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Content technologies and information management: ICT for digital content, cultural and creative industries
Action type: Innovation actions
Countries involved: Germany,Spain,Spain,Italy,Italy,Italy,United Kingdom
Call: Support the growth of ICT innovative Creative Industries SMEs (H2020-ICT-2014-1, 2014)
Start date: 2015-01-01
End date: 2016-06-30
Duration (months): 18.0
Total project cost (EUR): 1223875.0
EU funding (EUR): 975062.5
Participants: 8
Project status: CLOSED

The objective of the SOMATCH is to improve the competitiveness of EU SMEs in Textile and Clothing (T&C) and design focused sectors by the collection, definition and visualization by ad hoc interfaces of fashion trends. SOMATCH will provide creative designers with detailed and reliable trends estimations and forecasts of user acceptance. Its goal will be achieved by the creation of an innovative tool for the mining and visualization of large sets of unstructured data, related to the use and preferences of fashion products by consumers, supporting T&C companies quick reaction to the market dynamics and better adaptation of design to real consumers’ demand. SOMATCH faces this complex and challenging deal by the combined development and application of SoA advanced image analysis technology, unexploited and innovative in clothing and fashion, combined with social network analysis. Its results will be presented to interested end users by dedicated interfaces and instruments: mobile devices as well as ad hoc visualization tools will be explored for this purpose. The visualisation of the generated data will be performed from off-line statistics, generated after data processing, and by new real-time instruments for image collection and evaluation of designs. They will be targeted also by the integration of the systems with new SoA mobile and wearable (for ex. Google Glass) devices to collect information and to visualise trend interpretation. This approach will open a vast field of new approaches for the fashion designers, supporting final users involvement into the whole trend evaluation and a close interaction with them. To reach this purpose Somatch consortium includes research centres expert in image and content analysis (TUM, UPC), software providers experts in data management, platform development and fashion tools (Holonix. Sparsity, Ideal), end users from SME textile industry and retail (DENA) and social networking and e-commerce (Weblogs, NJAL).

Keywords: fashion,clothing,trend,estimation
p-adic Groups, Representations, and the Langlands Program (GReatLaP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Germany,United Kingdom
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 1499491.0
EU funding (EUR): 1499491.0
Participants: 2
Project status: SIGNED

My objectives consist of laying new foundations for the representation theory of p-adic groups and making significant progress on the local, global and relative Langlands program. The Langlands program is a far-reaching collection of conjectures that relate different areas of mathematics including number theory and representation theory. Work in this area has also lead to the resolution of other major conjectures including Fermat's Last Theorem. A fundamental problem on the representation theory side is the construction of all (irreducible, smooth, complex) representations of certain matrix groups, called p-adic groups. Despite much progress in the past 40 years, we still know surprisingly little about these representations in the general setting. My first main objective is the construction of all (supercuspidal) representations in full generality. This will form the foundation for the future of the representation theory of p-adic groups and have a plethora of applications also beyond this area. Solving this problem will involve tackling all the complications that arise in the non-tame case compared to the tame case. I will then demonstrate the power of this result beyond the representation theory of p-adic groups by making significant contributions to the - global Langlands program. This will be achieved by constructing congruences between automorphic forms based on the existence of enough suitable (omni-)supercuspidal types for p-adic groups. - relative Langlands program. I will prove finite multiplicity of the representations occurring in the space of function on a spherical variety by combining my results about the shape of representations with properties of the moment map. Finally, I will use my insights to advance the explicit local Langlands correspondence by proving that the most-general construction to date, which treats non-singular representations, satisfies all required properties and suggesting a correspondence beyond non-singular representations.

Keywords: p adic groups,reductive groups,supercuspidal representations,bushnell kutzko types,langlands correspondence,automorphic forms,spherical varieties
ANTHEM: A Novel Tolerogenic vaccine for the treatment of antibodies in HaEMophilia (ANTHEM)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Sweden
Call: Supporting innovative SMEs in the healthcare biotechnology sector (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-09-01
End date: 2022-05-31
Duration (months): 57.0
Total project cost (EUR): 2868734.25
EU funding (EUR): 2868734.25
Participants: 1
Project status: CLOSED

This project will develop and validate IN-3012, a novel tolerogenic vaccine that utilizes a person’s own cells to treat neutralizing antibodies (NA) in Haemophilia A patients who have failed immune tolerance induction (ITI). Haemophilia A patients are given the blood clotting protein, factor VIII as standard of care. However, a serious consequence is the development of NA towards factor VIII leading to therapy resistance. This leads to crippling arthropathy, other morbidities and high mortality. ITI is the most used treatment of this condition but 35% of patients do not respond and are in a vulnerable situation. Haematologists and KOLs emphasise the pressing need for safe and effective technologies to overcome NA in Haemophilia A, which is not possible today. The estimated mean annual cost of a Haemophilia patient in Europe is over EUR 117,000 EUR with the mean lifetime cost reaching EUR 7.8 million. This is substantially higher in patients who have failed ITI. Therefore, while this condition has low prevalence, it exerts heavy burden on healthcare budgets and is thus a top EU health policy priority. Idogen’s technology platform allows cells from the patient’s blood to be reprogrammed outside the body to dendritic cells with the capacity to specifically counteract adverse immune reactions. The reprogrammed cells are transferred back to the patient. IN-3012 uses this mechanism to create tolerance to factor VIII. The research performed to date strongly supports the vaccine’s potential to eradicate NA. The proposed project will bring IN-3012 through a Phase I/II clinical trial in humans. The safety and preliminary efficacy data will constitute the basis for further clinical development and commercialisation of the product. Idogen’s strategic focus lies in establishing IN-3012 as a novel treatment in Haemophilia A patients having failed ITI. This will constitute the cornerstone of Idogen’s accelerated growth. This project is the key step to realize the strategy.

Keywords: haemophilia,immune tolerance induction,vaccine
Secure Big Data Processing in Untrusted Clouds (SecureCloud)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Israel,Italy,Germany,Switzerland,Switzerland,United Kingdom,Denmark
Call: Cloud Computing, including security aspects (H2020-EUB-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 2285377.0
EU funding (EUR): 1499627.0
Participants: 7
Project status: CLOSED

SecureCloud addresses the confidentiality, integrity and availability of applications executed in the cloud. Data at rest or in transit on the network is already nowadays protected by encryption. The main problem that we face is how to ensure the confidentiality of data while being processed. Our approach is based on upcoming hardware extensions of commodity CPUs like Intel's Secure Guard Extensions (SGX). By the help of these hardware extensions, we reduce the trusted computing base dramatically by excluding from it the millions of lines of source code of the cloud stack, operating systems and hypervisor. This permits us to ensure the confidentiality of computations even if the computers are under a different administrative control (like a cloud provider) or there is no physical security of the computers. Moreover, we ensure the confidentiality even if attackers would take control of the cloud stack, the hypervisor or the operating systems. As long as the hardware extensions of the CPU can be trusted, we can ensure the confidentiality of the computations. SecureCloud focuses on ensuring the confidential and dependable processing of Big Data. To keep the trusted computing base small, we use the concept of microservices: only the application logic that processes data (e.g., operators) is protected while all functionality that, e.g., shuffles and stores encrypted data is outside the trusted computing base. By monitoring the microservices, we can restart services that run on compromised hosts. We will evaluate and demonstrate our approach in the context of smart grids. In this use case context, we need to run across a physically distributed computing infrastructure with no or little physical security and partly untrusted administrators. We need to process large volumes of data and this big data processing would benefit by partial offloading into the cloud. In SecureCloud, we will show how to do this in a secure fashion even if clouds are untrusted.

Keywords: big data,security,privacy,smartgrid
BioWeedControl: Accelerating Europe’s transition towards a chemical-free agriculture (BioWeedControl)

Framework: Horizon 2020 — Societal Challenges
Action type: SME instrument
Countries involved: Germany
Call: H2020-EIC Accelerator pilot –SME Instrument - Green Deal (H2020-EIC-SMEInst-2018-2020-4, 2020)
Start date: 2020-10-01
End date: 2023-03-31
Duration (months): 30.0
Total project cost (EUR): 2330316.25
EU funding (EUR): 1631221.38
Participants: 1
Project status: SIGNED

For the past four decades, weeds within agriculture have been mainly controlled through chemical herbicides but their widespread use has put great pressure on the environment, raised the number of herbicide-resistant species and partly even threatened human health. Increasing legislation, banning of chemical herbicides and opposition from farmers and citizens are forcing the agricultural industry to quickly find alternative solutions. Despite the growing demand for chemicals free herbicides, specifically in large scale row crops, today no solution has been adapted on larger scale within the market. Furthermore, no new mode of action for herbicides has been introduced since the early 1980s. Bind-X is an award-winning start-up company with the vision to improve sustainability, profitability and innovation within the agricultural industry. Bind-X offers a radically different approach to prevent weed growth. Instead of the use of an active substance to kill weeds, "BioWeedControl” impedes weed growth by inducing a mechanical/physical layer in the soil. Based on a bio-geochemical process Bind-X technology induces a semi-permeable layer within the soil matrix. Its weed prevention performance has already been demonstrated in multiple field tests on several specialty crops in cooperation with relevant partners in the industry. With this project, Bind-X is adapting its formulations for row crop applications and scaling up its production processes to achieve target costs and application volumes. Bind-X offers a highly efficient solution to prevent weed growth, contributing towards removing thousands of tonnes of chemicals from our food chain and therewith to a more sustainable production of food. This project will further reduce the time-to-market, enable quicker international expansion and increase the company’s lead over competition. At the same time, the commercialisation of BioWeedControl will allow to generate 37 highly qualified jobs in Bind-X until 2023

Keywords: weeds control,bio herbicides,sustainable agriculture,plant protection,chemical herbicides,row crops,soil erosion
Scaling-up of and evidence-based intervention programme in older people with Diabetes and Frailty in LatinAmerica (DIABFRAIL-LATAM)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Spain,Spain,Italy,Argentina,Spain,Colombia,United States,Chile,Peru,Mexico,United Kingdom
Call: Global Alliance for Chronic Diseases (GACD) - Scaling-up of evidence-based health interventions at population level for the prevention and management of hypertension and/or diabetes (H2020-SC1-2018-Single-Stage-RTD, 2018)
Start date: 2019-01-01
End date: 2024-12-31
Duration (months): 72.0
Total project cost (EUR): 3991925.0
EU funding (EUR): 3891925.0
Participants: 17
Project status: SIGNED

Stemming from the results of three EU-funded projects, DIABFRAIL-LATAM intends to make a scaling up of a multimodal intervention in older people with diabetes very vulnerable because of their frailty status. The scaling up will take place in 5 Latin-American countries (1 HIC and 4 LMICs), in different settings of care. The project embraces three main parts: 1) a validation study (an open Randomized Clinical Trial) that mimics the intervention to be transferred and that was shown to be effective and with a good cost-effective relationship; 2) a feasibility study that will include an economic analysis, adherence assessment and an analysis of the barriers and key factor of success; and 3) a proper scaling up process using a methodology based on the recommendations of the WHO (“WHO ExpandNet model”) and the European Union (“Maturity Model” and “11 success factors” suggested by the Expert Group on Health Systems Performance Assessment) that will take place not only in the five countries participating in the validation of the intervention, but also in other four countries, under the auspices of the Pan-American Health Organization and the cooperation of the local governments. The consortium of the project is composed by a multidisciplinary team of partners involving academic partners, research partners, clinical partners, public health partners and citizen organizations. In addition, several local, national and international stakeholders, including governmental organizations and NGOs will also provide support in the several settings of care. The project is clearly aligned with the programs of many of the institutions constituting the Global Alliance for Chronic Diseases (GACD), including the Research&Innovation DG of the European Commission, with projects supported by GACD, with several actions of the EIP-AHA initiative and with strategies on non-communicable chronic conditions in the EU, in several countries of the Latin-American and Caribbean Region, PAHO and WHO.

Keywords: diabetes,intervention,scaling up,frailty,clinical trail,vulnerable populations,lmic,latam
Predictive Rendering In Manufacture and Engineering (PRIME)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Spain,Germany,Sweden,Czechia,Denmark,United Kingdom,United Kingdom,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2020-10-01
End date: 2025-08-31
Duration (months): 59.0
Total project cost (EUR): 4090317.12
EU funding (EUR): 4090317.12
Participants: 9
Project status: SIGNED

The goal of this ITN is to have the participants develop skills and protocols needed for industrial usage of Predictive Rendering (PR) technologies - image synthesis which delivers results that one can actually rely on to be visually accurate. Application areas of such systems are in product design, architecture, sensor system calibration, training of autonomous vehicle systems, and manufacturing control. This is a cutting-edge area of applied computer science, in which European academia and industry are currently amongst the global technology leaders. An ITN network in this area will greatly aid in maintaining and increasing the competitive edge of the European region in this regard, and train young researchers in a promising, future-oriented and research-driven application area. It will establish longer term collaborations and lasting structured training programmes between the partner organisations, as well as conducting research work on several highly important engineering problems in this area.

Keywords: predictive rendering,virtual prototyping,digital twins