Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Renewable Energies for Water Treatment and REuse in Mining Industries (REMIND)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Spain,Italy,Ecuador,Spain,Italy,Italy,Sweden,Chile
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2018-11-01
End date: 2024-04-30
Duration (months): 66.0
Total project cost (EUR): 1329400.0
EU funding (EUR): 1329400.0
Participants: 12
Project status: SIGNED

The overall aim of REMIND is to develop an innovative framework of interplay between Renewable Energy Sources (RES) and innovative Water Treatment Technologies in the logic of a sustainable growth for mining industries. The novel paradigms explored are expected to drastically reduce the environmental impact due to extensive water and energy consumption, and to release of untreated wastewater during the production cycle of copper and gold. The REMIND collaborative network among European Union, Chile and Ecuador is in line with EU policy and strategy for raw materials supply; moreover, this partnership supports the economic and research efforts of Latin American countries towards a more eco-friendly and RES-driven development. The bi-directional knowledge transfer activities implemented in REMIND aim to: i) implement a rational use of water resources in the logic of circular economy; ii) promote a carbon-free technological approach (water-energy nexus) for reducing conventional energy resources requirements, and iii) mitigate health environmental risk in two demonstration sites (mining districts of Antofagasta – CL and Regione de l’Oro – EC), and iv) exploit the intersectorial cooperation between academia and industry by setting best practices for knowledge transfer in analogous contexts. REMIND brings together 7 leading High Education Institutions, 1 Research Institute, 1 Business Association and 3 Industrial Companies from 5 Countries (Italy, Spain, Sweden, Chile and Ecuador), and implements a multisectorial and transdisciplinary network.

Keywords: membrane science and technology,renewable energy sources
FAIRWORK: Building a Fairwork Foundation (FAIRWORK)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-11-01
End date: 2021-10-31
Duration (months): 24.0
Total project cost (EUR): 149776.0
EU funding (EUR): 149776.0
Participants: 1
Project status: CLOSED

Millions of platform workers live all over the world: doing work that is outsourced via platforms or apps in the ‘gig economy.’ Workers tend to have little ability to negotiate wages or working conditions with the platforms that give them work. The ERC GEONET project has shown that, as a result of this new market for work, many workers have jobs characterized by long and irregular hours, low income, and high stress. The international nature of digital work means that some of it can be done outside of the purview of national governments, with few employers paying attention to relevant existing regulation in either their home countries or the worker’s home country. Labour platforms can therefore threaten to undermine workers’ ability to defend existing jobs, liveable wages, and dignified working conditions, in both low and high-income countries. If wages and working conditions for digital workers are to improve, new international strategies need to be devised. This Proof of Concept project will create the beginnings of a ‘Fairwork Foundation.’ It seeks to co-develop fair work principles with key stakeholders, develop methods to assess those principles, and ultimately rate and rank platforms against how they score against the fair work principles.

Keywords: fair work,collective bargaining,labour,economic geography,gig economy,digital labour
MENTEE - Mastery learning in Europe through Technology Enhanced Education (MENTEE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Iceland
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The proper education of our pupils is essential for the future of Europe, however, it is demonstrated that the current educational models are not meeting the expectations. How can we optimise and update these old-fashioned approaches to guarantee the best apprenticeship? We, InfoMentor, want to develop MENTEE, a unique web-based Mastery Learning platform fully tailored to the different National Curriculums (programmes of study) of EU countries. Thanks to its automated features, it will suppose a shift in the teaching profession that will reignite the passion of teachers and their students. We have detected two main problems in the EU educational systems: 1) Inefficient procedures, with paperwork drowning up to 50% of the teachers’ work time in bureaucracy; and 2) Summative assessment, an outdated assessment approach that causes between 17%-20% of young people falling below the minimum standard in key subjects ranges. In order to break this cycle, we have created MENTEE, an educational platform that enables: 1) Efficiency, by reducing by 50% the efforts of teachers allocated to administrative and planning tasks; and 2) Enhanced assessment, by promoting the educational mastery through formative assessment (where students’ progress is continuously monitored through automated, education-tailored tools) and mastering learning (which requires students to fully master an assignment before moving on to the next one). Our business opportunity is promising; the Education market is a €4,700 billion global industry (estimated growth of 10% from 2015 to 2019) and it is only 2% digitised, with a huge gap between technology availability and actual implementation in schools (textbooks still are the main resource for pupils learning how to read), supposing a huge potential for digital solutions like MENTEE. Thanks to this project, we estimate additional cumulative cash flow of €7.4 million by the third year of commercialisation and the creation of 16 to 20 new jobs.

Keywords: mastery learning,digitized education,curriculum centered solution,improved individual assessment
Elucidating therapeutic effects and mode of action of future trophic factors in ALS and Parkinson’s disease (FutureTrophicFactors)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Finland
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-02-01
End date: 2024-01-31
Duration (months): 60.0
Total project cost (EUR): 1497597.0
EU funding (EUR): 1497597.0
Participants: 1
Project status: SIGNED

The prevalence of neurodegenerative diseases such as Parkinson’s disease (PD) and amyotrophic lateral sclerosis (ALS) is growing rapidly due to an aging population and increased life expectancy. Current treatments for ALS and PD only relieve symptoms and cannot stop the progression of the disease, thus there is an urgent need for new therapies. Neurotrophic factors (NTFs) are secretary proteins that regulate the survival of neurons, neurite growth and branching. They have been explored as novel drugs for the treatment of ALS and PD but their efficacy in clinical trials is poor. CDNF is a protein with NTF properties that protects and restores the function of dopamine neurons in rodent and rhesus monkey toxin models of PD more effectively than other NTFs. CDNF is currently in phase 1/2 clinical trials on PD patients. Despite promising results with CDNF in animal models of PD, NTF and CDNF-based treatments have drawbacks. CDNF requires direct delivery to the brain through invasive surgery since, it cannot pass through the blood brain barrier (BBB). My recent discovery, however, may overcome this difficulty: I showed that a novel CDNF variant protects DA neurons in vitro and in vivo and that it efficiently enters DA neurons in culture. Furthermore, my data show the CDNF fragment can pass through the BBB as measured by 3 different methods and has a neurorestorative effect in a 6-OHDA toxin model of PD when administered subcutaneously. The ultimate goal of my research is to understand the mode of action and therapeutic effect of novel BBB penetrating CDNF-derived polypeptides in cultures of human induced pluripotent stem (iPS) cell-derived nerve cells from patients and in animal models of ALS and PD. The innovative aspect of this proposal is the new groundbreaking concept for treating neurodegenerative diseases – peripheral delivery of BBB penetrating peptides with trophic factor properties and the potential to treat non-motor and motor symptoms in ALS and PD patients.

Keywords: amyotrophic lateral sclerosis,parkinson s disease pd,6 ohda rat model of pd,alfa synuclein fibril model of pd,sod1 g93a,tdp 43,trophic factors,blood brain barrier
Towards a sustainable Open Data ECOsystem (ODECO)

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: Social Sciences and Humanities
Countries involved: Spain,Italy,Belgium,Greece,Greece,France,Netherlands,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-10-01
End date: 2025-09-30
Duration (months): 48.0
Total project cost (EUR): 3933207.72
EU funding (EUR): 3933207.7199999997
Participants: 8
Project status: SIGNED

The central aim of the ODECO consortium network is to train the next generation of creative and innovative early-stage open data researchers, to unlock their creative and innovative potential to address current and future challenges in the creation of user driven, circular and inclusive open data ecosystems. Current developments in the field of open data are characterised as highly fragmented. Open data ecosystems are often developed in different domains in isolation of each other and with little involvement of potential users, resulting in approaches that significantly limit open data reusability for users. This reduces innovation and the ability to create new valued added goods and services. Isolated domains also undermine interoperability for users acting as a barrier to data sharing. Efforts are also uncoordinated in open data training and research, where multidisciplinary approaches are scant. Bringing together different sectors (research, private sector, government, non-profit) and different perspectives (public administration, law, business, engineering), ODECO aims to address the central challenge of realizing a user driven, circular and inclusive open data ecosystem. Through its novel research and training programme, ODECO will provide early stage researchers with relevant open data knowledge, skills and research experiences that cut across disciplines, domains and sectors. ODECO will pay particular attention to the role and involvement of the multiple user groups in the open data ecosystem, within its research programme and through its public engagement activities. The involvement of sixteen specialist partner organizations in the consortium, in addition to the expert non-academic beneficiary and academic beneficiaries, will help researchers better understand the needs of citizens, journalists, students, large companies and SMEs, NGOs, governments and other stakeholders in the open data ecosystem.

Keywords: open data,ecosystem,data infrastructure,sustainability
CEZAMAT-Environment - Self-Organizing Networks for Real-Time, Wireless Monitoring of Natural Environment (CEZAMAT-Environment)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Framework Partnership Agreement
Countries involved: Germany,Poland,France
Call: Teaming (H2020-WIDESPREAD-2014-1, 2014)
Start date: 2015-04-29
End date: 2020-04-28
Duration (months): 60.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 4
Project status: CLOSED

This Proposal aims to establish a new research Center of Excellence named CEZAMAT-Environment devoted to the fundamental study and practical implementation of self-organizing networks of chemical and biochemical sensors capable of massively parallel and spatially distributed sensing of environmental hazards and other parameters defining the status of natural resources (e.g., forests, or agricultural crop, aquatic ecosystems).The objective of the one-year action (covered by the CSA) is the development of a detailed and robust Business Plan for the setting-up the Center capable of attaining this long term vision.The goal will be achieved through joint management by the Teaming partners, i.e. The National Centre for Research and Development (Poland), CEZAMAT PW Sp. z o.o. (Poland), CEA-Tech (France), Fraunhofer-Gesellschaft (FhG, Germany), the two latter being Partners of Excellence.The Proposal responds to the work program “Spreading Excellence and Widening Participation,” which aims to reduce internal research and innovation disparities within the European Union by supporting research and innovation activities and systems in low performing countries. The Proposal addresses a specific challenge defined by the work program – namely, the presence of substantial disparities in the European Research and Innovation landscape, and also aims at establishing long-term and strategic partnership between Teaming partners. In the short-term perspective, we will actively seek the advice of the Partners how to best implement the operation and administrative protocols within our Center, especially how to foster cross-discipline collaboration while staying focused on the short-term milestones and long-term goals. In the long-term perspective, the Center will implement within its own structure and then promote to the entire region of Mazovia the best practices in research, innovation and management resulting in significant improvement of this Region’s research and innovation culture.

Keywords: environment,low power,self organizing networks,wireless monitoring,real time monitoring,new scientific organization,sensors,nanoelectronics,biochemistry,cezamat,fraunhofer
A unified network, Computational and stOrage resource Management framework targeting end-to-end Performance optimization for secure 5G muLti-tEchnology and multi-Tenancy Environments (5G-COMPLETE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Israel,Germany,Italy,Greece,Greece,Greece,Belgium,France,United Kingdom,United Kingdom
Call: 5G Long Term Evolution (H2020-ICT-2019-2, 2019)
Start date: 2019-11-01
End date: 2023-10-31
Duration (months): 48.0
Total project cost (EUR): 5966087.5
EU funding (EUR): 5966087.5
Participants: 13
Project status: SIGNED

5G-COMPLETE aims to revolutionize the 5G architecture, by efficiently combining compute and storage resource functionality over a unified ultra-high capacity converged digital/analog Fiber-Wireless (FiWi) Radio Access Network (RAN). By employing the recent advances in Ethernet fronthauling introduced by the eCPRI standard as a launching point, 5G-COMPLETE introduces and combines a series of key technologies under a unique architectural proposition that brings together i) the high capacity of fiber and high-frequency radio, ii) the audacity of converged FiWi fronthauling, iii) the spectral efficiency of analog modulation and coding schemes, iv) the flexibility of mesh self-organized networks, v) the efficiency of high-speed and time-sensitive packet-switched transport, vi) the rapid and cost-efficient service deployment through unikernel technology and finally vii) an enhanced security framework based on post-Quantum cryptosystems. 5G-COMPLETE’s proposed converged Computing/Storage/RAN infrastructure effectively merges the 5G New Radio fronthaul/midhaul/backhaul faculties into one common Ethernet-based platform and transforms the RAN into a low-power distributed computer that shapes new network concepts. 5G-COMPLETE’s results will be validated in a range of scalable lab- and field-trial demonstrators in Athens (Greece), Lannion (France) and Bristol (UK). Upon completion, 5G-COMPLETE will have introduced new business models and novel research opportunities that will be streamlined into tangible results by its 13 consortium partners that expand along the complete 5G research and market chain.

Keywords: mobile edge computing mec,software defined networking,virtualization,thz transceivers,mmwave,edge nodes
Mapping metabolic regulators at a genome-scale to switch bacteria from growth to overproduction of chemicals (MapMe)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Germany,Germany
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-01-01
End date: 2022-12-31
Duration (months): 72.0
Total project cost (EUR): 1461200.0
EU funding (EUR): 706177.77
Participants: 2
Project status: CLOSED

Metabolic engineering creates improved microbes for industrial biotechnology. Rational design of industrial microbes centres on modifications of genes with known roles in the production pathway of interest. However, genes that are unrelated to the production pathway are also known to substantially impact productivity. To date there are no methods that allow the prediction of such distal genes on a rational basis. Effects of distal genes are indirect, and mediated through regulatory interactions between metabolites and proteins, most of which are currently unknown even in the well-studied microbe Escherichia coli. The lack of knowledge of metabolite-protein interactions thus effectively prohibits systematic exploration of distal regulatory relationships, with the consequence that models used to predict metabolic engineering targets are severely limited and rarely applied in industrial biotechnology. Previously, we used small-scale metabolic models and metabolomics to infer metabolite-protein interactions in specific pathways. In this project we propose a novel genome-wide endeavor to map metabolite-protein interactions across the entire metabolic network. For this purpose, we will use the recently developed CRISPR interference system to quantitatively perturb >900 single metabolic genes in E. coli. Combining the metabolomics data of these >900 gene perturbations with a genome-scale metabolic model will enable us to infer functionally relevant metabolite-protein interactions. Finally, we will apply this knowledge to the model-guided metabolic engineering of superior E. coli strains. Specifically, we want E. coli to cease growth upon induction and focus all its metabolic resources towards synthesis of succinic acid. This controlled uncoupling of growth from overproduction on a rational basis will break new grounds in metabolic engineering and opens up novel applications in industrial biotechnology.
Hybrid Colloidal Systems with Designed Response (COLLDENSE)

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: Physics
Countries involved: Italy,Austria,Sweden,Greece,Slovenia,France,France,France,United States,United Kingdom,United Kingdom,Canada,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 3895886.88
EU funding (EUR): 3895886.88
Participants: 14
Project status: CLOSED

The etymology of the word colloid stems from the Greek word for glue. The systematic study of colloids (as we perceive them nowadays) is considered to have begun in the middle of the 19th century. However, the word colloid itself had been mentioned before in very different senses. The development of the physics and chemistry of colloids really took off in the 20th century. Colloids found different applications in almost every part of our lives, and it might even seem that these systems are fully understood and “tamed”. In reality, this is far from the case! Both fundamental understanding and a clear application strategy are required. This is most evident when it comes to the relationship between the nature and arrangement of the colloidal particles and their macroscopic response to an external field (be that shear, electric, magnetic or gravitational fields). To elucidate this relationship we unite 7 academic and 2 industrial partners and 5 associate partners to train 15 ESRs. We aim to develop the concept of COLLoids with DEsigned respoNSE, leading to our acronym: COLLDENSE. Scientific projects are divided into three main workpackeges according to the complexity of the building blocks: deformable colloids, hybrid colloids and colloidal mixtures. The subjects vary from soft repulsive colloids, magnetic colloids, soft microgel particles, telechelic star polymers to droplets with interfaces stabilised by solid particles and DNA nano-constructs. The detailed analysis of mixtures of these components, as well as of their equilibrium and nonequilibrium thermodynamics and rheology, is the other important facet of the project. In order to obtain a complete understanding of the colloidal behaviour under an external drive we employ the three main tools of the modern natural science: experiment, computer simulations and analytical theory. This complete approach will also yield a broad training experience for the young members of the network.

Keywords: deformable colloids,hybrid colloids,complex colloidal mixtures,shear,external drive,synthesis,computer simulations,filtration