Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Single Molecule Imaging Mass Spectrometry (SMIMS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Molecules of Life: Biological Mechanisms, Structures and Functions
Panel description: Molecular biology, biochemistry, structural biology, molecular biophysics, synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2018-08-01
End date: 2020-01-31
Duration (months): 18.0
Total project cost (EUR): 142050.0
EU funding (EUR): 142050.0
Participants: 1
Project status: CLOSED

We aim to demonstrate the disruptive commercial and societal potential of interferometric scattering microscopy for mass spectrometry of single biomolecules in solution. The PoC grant will be used to produce a near-market ready prototype and implement the required software modifications expected of a commercial device, to demonstrate that the technology is sufficiently robust to warrant venture capital funding for our spin-out company. Our early discussions with both pharma and instrument manufactueres have highlighted a need for more in-depth application of our technique. The novelty of our approach requires both demonstration and testing on a broad range of potential analytes and environments, which is why we require a portable instrument, that not only enables on-site testing, but also on-site demonstration in a non-university research environment. Similarly, there is a clear and pressing need to produce more intuitive and clearly commercially viable software to unlock the full potential of our technology. Data from these experiments will help define our final product(s) and to translate this research into a viable package for raising venture capital. The development of a novel, broadly accessible technology enables new avenues for screening potential drug candidates that could be used to further our understanding of drug interactions at the molecular level. The economic benefits will, therefore, be realised primarily through the pharmaceutical, healthcare and allied industries as well as the bioanalytical industry, through increased sales of instruments. All will have a considerable impact on the European economy. In addition to drug-discovery-related advances, our technology has the potential to transform cholesterol classification and change current approaches to cancer screening, through its intrinsic single molecule sensitivity.

Keywords: single molecule biosensing,label free sensing,protein protein interactions,protein ligand interactions,mass spectrometry
Developing middle-range theories linking land use displacement, intensification and transitions (MIDLAND)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Belgium
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-05-01
End date: 2022-04-30
Duration (months): 72.0
Total project cost (EUR): 1498420.0
EU funding (EUR): 1498420.0
Participants: 1
Project status: CLOSED

Land is a nexus for crucial societal and environmental challenges including food security, access to water, land degradation, biodiversity loss, and climate change. Development of solutions to balance these tradeoffs and synergies is currently hindered by the lack of theories explaining the conditions under which different pathways of land change occur and lead to different outcomes, integrating human and environmental aspects. This project will develop and test integrated middle-range theories explaining the linkages between three of the major processes in land systems, i.e., (i) land use intensification and expansion, (ii) land use displacement and trade, and (iii) land use transitions or regime shifts. The work will focus on the emerging agricultural frontier of Southern African dry forests and savannas, which is a threatened and understudied region, and its linkages with distant places. To overcome current limitations, the project builds on (i) experience in empirical, place-based studies, (ii) strong knowledge of social sciences and human-environment theories, (iii) rigorous inductive and deductive approaches to develop and test theories, and (iv) new ways to analyze linkages between distant social-ecological systems. We will analyze: (i) The strategic field of actors’ coalitions, institutions and distant linkages in emerging frontiers; (ii) Links between land use displacement, leakage, and local land changes; (iii) Pathways of agricultural expansion and intensification in tropical landscapes; and (iv) The conditions for transformative governance of land systems to foster resilient landscapes that sustain ecosystem services and livelihoods. These results will then be integrated to move towards the next generation of land system science, which will be able to develop, test and be guided by theoretical models. This will contribute to more relevant insights for social-ecological systems broadly and for sustainability and other social and natural sciences.

Keywords: international trade,land systems,land use change,social ecological systems,tropics,developing countries,governance
Patient-specific treatment for Parkinson's disease using reprogrammed skin cells (TREAT-PD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Sweden
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-11-01
End date: 2023-10-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Cellular reprogramming is a new and rapidly emerging field where somatic cells can be turned into pluripotent stem cells or other somatic cell types simply by overexpression of specific combinations of genes. This remarkable discovery allows for the generation of patient specific cell lines that will serve as major tools for understanding how diseases arise and develop, and they may also prove useful for drug screens, diagnostics and other biomedical applications. We have developed a reprogramming technique that directly converts human fibroblasts to functional dopamine (DA) neurons, which is the subtype that is affected in Parkinson’s Disease (PD). This opens up for possibilities to generate therapeutic neurons, including patient specific neurons on demand. These neurons, and the techniques for producing them, will become valuable tools for understanding and treating neurodegenerative diseases such as PD. Direct cell conversion is of particular interest for cell replacement therapy as the reprogramming does not involve a proliferating cell intermediate, and thus the risk of uncontrolled proliferation and tumor formation after transplantation is minimized. This project integrates mechanistic studies based on single cell sequencing to improve the technology and control of cell fate such that a large number of authentic DA neurons are obtained. Induced DA neurons will be generated from individuals with PD and age matched healthy donors and subjected to comparative assessments in vitro and in vivo in order to investigate whether any potential PD-associated pathology emerges in the patient derived cells. This will then guide future decisions regarding autologous vs. allogeneic donors. The cells will be extensively validated using pre-clinical animal models of PD. The studies will include direct comparison with primary fetal and hESC-derived DA neurons on criteria important for clinical use such as midbrain subtype identity and in vivo potency and efficacy.

Keywords: cell therapy,personalized treatment cell reprogramming
NanoWelds:First nanotechnology for the electronic industry based on a room-temperature welding process (NanoWelds)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-11-01
End date: 2021-04-30
Duration (months): 30.0
Total project cost (EUR): 2998250.0
EU funding (EUR): 2098775.0
Participants: 1
Project status: CLOSED

NanoWired GmbH is a high-tech startup that aims to introduce a completely new bonding process for the assembly and manufacturing of electronics. Our patented nanotechnology has been successfully scaled-up and now it is getting ready for its integration in real applications and manufacturing environments. In a record time since the creation of the company in 2017, we have achieved 19 pilot contracts with international giants. Electronics manufacturers face technical challenges that are slowing the rate of performance increases and size reductions. Trying to go 3D (stacking microchips vertically) or using flexible PCB’s are some of the new strategies in the semiconductor and microelectronic industry. However, going 3D is bringing challenges at the micro-level (e.g. the tighter density requires better heat dissipation) and at industrial level (e.g. high yields and scalability, cost-reductions, big investments in equipment, and difficult integration). NanoWired GmbH has developed a process that enables the joining and contacting of electronic components at room temperature. The prepared components simply have to be pressed together, like a metallic Velcro. The result is a permanently solid, strong, flexible and highly conductive connection. With this Phase 2, we will launch the equipment that will push the chip and electronic industry one step beyond by overcoming current limitations of soldering, bonding or gluing techniques. The market launch of NanoWelds represents the beginning of our sales activity planned for the second half of 2020. Three years after market launch, we will reach annual sales of 15.8M€ and an EBT of 14.89M€. Considering these projections and the investment needed for Phase 2 (approx. 3M€), the Return of Investment will be 3,96. Furthermore, with the support of the SME Instrument NanoWired GmbH will grow from 10 to 30 employees in the next five years.

Keywords: semiconductor packaging,microelectronics,semiconductor manufacturing
The launch of a new industrial PhD programme at EPFL (EPFLinnovators)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Doctoral programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Switzerland
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2016, 2016)
Start date: 2017-10-01
End date: 2024-03-31
Duration (months): 78.0
Total project cost (EUR): 7534080.0
EU funding (EUR): 3767040.0
Participants: 1
Project status: SIGNED

The “École Polytechnique Fédérale de Lausanne” (EPFL) is one of the two Federal Institutes of Technology in Switzerland. EPFL has three missions: i) education, ii) research, and iii) technology transfer. The EPFL is successful in fulfilling these missions, and is ranked as one of Europe’s top institutions with respect to education, research, training-through-research and innovation. EPFL’s doctoral education and training is organized by its doctoral school, which has 19 doctoral programs that cover all EPFL research fields. The doctoral school is truly interdisciplinary, and goes across all EPFL’s disciplines. The more than 2000 doctoral students are all inscribed in one of the 19 doctoral programmes. This proposal aims to (i) increase the awareness among PhD students - at the beginning of their PhD studies - of the possibilities to initiate a start-up, (ii) increase the number of PhD candidates that create a start-up and become entrepreneur/innovator, and (iii) to increase the success of the start-ups that have been created. To this end the “EPFLinnovators” programme will provide excellent PhD candidates with the appropriate training, experience, and guiding, to successfully start and develop their own company. A rich and complete training programme is offered in combination with a long stay, of minimum 6 months and up to 24 months, in the non-academic sector. The programme will result in a new type of “Industrial PhD”. After finalizing their studies, these new PhDs have to possibility to profit from EPFL’s rich infrastructure to support entrepreneurs. The EPFL innovation Park, created to nurture start-ups, is located on the EPFL campus. Through a personal coach, the new PhDs have access to investors (venture capital companies), service providers (e.g. legal), human resources, and funding possibilities. This infrastructure facilitates the transfer of technology from EPFL's research laboratories to the marketplace in Switzerland and Europe.

Keywords: university non academic start ups innovation
VerSatilE plug-and-play platform enabling remote pREdictive mainteNAnce (SERENA)

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: Italy,Ireland,Italy,Italy,Germany,Germany,Spain,Greece,Finland,Finland,Netherlands
Call: Novel design and predictive maintenance technologies for increased operating life of production systems (H2020-FOF-2017, 2017)
Start date: 2017-10-01
End date: 2021-03-31
Duration (months): 42.0
Total project cost (EUR): 6929206.25
EU funding (EUR): 5506493.0
Participants: 14
Project status: CLOSED

The growing complexity of modern engineering systems and manufacturing processes is an obstacle to concept and implement Intelligent Manufacturing Systems (IMS) and keep these systems operating at high levels of reliability. Additionally, the number of sensors and the amount of data gathered on the factory floor constantly increases. This opens the vision of truly connected production processes where all machinery data are accessible allowing easier maintenance of them in case of unexpected events. SERENA project will build upon these needs for saving time and money, minimizing the costly production downtimes. The proposed solutions are covering the requirements for versatility, transferability, remote monitoring and control by a) a plug-and-play cloud based communication platform for managing the data and data processing remotely, b) advanced IoT system and smart devices for data collection and monitoring of machinery conditions, c) artificial intelligence methods for predictive maintenance (data analytics, machine learning) and planning of maintenance and production activities, d) AR based technologies for supporting the human operator for maintenance activities and monitoring of the production machinery status. SERENA represents a powerful platform to aid manufacturers in easing their maintenance burdens and for this purpose will be applied in different applications. More specifically, SERENA project will focus on advancing the TRL of the existing developments into levels TRL5 to TRL7. For this purpose, SERENA consortium will fully demonstrate the proposed approach in different industrial areas (white goods, metrological engineering and elevators production) and investigate applicability in steel parts production industry (extended-demonstration activities) checking the link to other industries (automotive, aerospace etc.) showing the versatile character of the project.

Keywords: remote predictive maintenance,cloud,data analytics,edge computing,plug and play architecture,monitoring,versatility,hmis
Modular Big Data Applications for Holistic Energy Services in Buildings (MATRYCS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Innovation actions
Countries involved: Germany,Spain,Italy,Spain,Spain,Italy,Germany,Italy,Belgium,Greece,Slovenia,Poland,Greece,Latvia,Czechia,Portugal
Call: Big data for buildings (H2020-LC-SC3-EE-2020-1, 2020)
Start date: 2020-10-01
End date: 2023-09-30
Duration (months): 36.0
Total project cost (EUR): 4577835.0
EU funding (EUR): 3996022.5
Participants: 18
Project status: SIGNED

The decentralization of the energy system coupled with advancements on IoT, big data, AI and distributed computing are creating a new momentum for exploiting data-driven services to improve buildings energy efficiency. Despite a large number of buildings data hubs and vocabularies have become available, some barriers hamper the exploitation of that potential, such as the lack of interoperability among heterogeneous static (e.g.BIM), building automation and IoT dynamic data sources and ontologies, and the lack of interoperable big data architectures fully tailored to smart buildings. In that respect MATRYCS will i) deliver an open Reference Architecture for Smart Energy Efficient Buildings, which aligns BDVA SRIA, FIWARE architecture, SAREF, HAYSTACK, and BRICK schema vocabularies (among the many others), and enable B2B sovereignty preserving multi-party data exchange, while providing full interoperability of big data enablers with smart buildings standards and addressing privacy and cyber-security constraints ii) upscale a number of TRL 5-6 technology enablers, such as sovereignty-preserving DLT/off-chain data governance, big data pipeline orchestration, IoT/edge AI-based federated learning and visual analytics and deploy them within the TRL 7-8 MATRYCS workbench iii) deliver a TRL8 open modular big data cloud analytic toolbox as front-end for one-stop-shop analytics services development iv) validate such framework through the deployment of analytics services focusing on digital building twins, improved buildings operation, building infrastructure design, EU/national policy assessment for energy efficiency investments on 11 large scale pilots by different stakeholders (facility managers, ESCOs, financial institutions, construction companies, municipalities, electricity grid and DH operators, policy makers) v) setup the BDA Alliance as a vibrant data-driven ecosystem for attracting new data hubs and SME service providers, enabling thus EU-wise take-up and replication

Keywords: open modular analytics toolbox for ee,buildings semantic interoperability,big data sovereignty preserving management,intelligent energy management,policy assessment and ee investment de risking
Independence Phenomena in Operator Algebras (IPOA)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-11-01
End date: 2022-10-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

This proposal develops in the framework of applications of set theory to C*-algebras and it is organized into three main themes: (1) the set-theoretic study of the Calkin algebra, (2) Naimark's problem, (3) the Stone-Weierstrass problem for noncommutative C*-algebras. The first part of the project consists of a systematic analysis of the class of the C*-algebras which embed into the Calkin algebra and of how set-theoretic principles influence such class. This study will be achieved by means of forcing techniques and through the adaptation of methods coming from the framework of boolean algebras. The main objectives are to reach a deeper understanding of the structure of the Calkin algebra, and to provide a benchmark for future applications of forcing methods in a more abstract C*-algebraic context. The second part of the proposal is in continuity with the line of research opened by Akemann and Weaver in the study of Naimark's problem, and it involves a series of applications of set-theoretic combinatorial statements in the construction of nonseparable C*-algebras with peculiar properties, specifically for what concerns their representation theory. With these investigations we aim to extend, by means of set theory, the current knowledge on the discrepancies between the nonseparable and the separable framework in operator algebras. The last part of the project regards the Stone-Weierstrass problem for noncommutative C*-algebras, an old open question which asks whether the classical Stone-Weierstrass theorem can be generalized to all C*-algebras. We plan to study this topic using set-theoretic methods, with the objective to find new consistency results, and extend to the nonseparable setting the known theorems holding for separable C*-algebras.

Keywords: mathematical logic,c algebras,set theory,calkin algebra,forcing,naimark s problem,jensen s diamond,stone weierstrass problem
Antibacterial (Nano)medicines Development (AND)

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: Life Sciences
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2017-03-31
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Despite the investment of billions of euros, there has been an inexorable decline in the discovery of new antibiotics over the last decades. In this individual fellowship (IF) application we propose a strategy to develop bacterial histidine-kinase (HK) inhibitors targeted at the catalytic and ATP-biding domain (CA) as novel broad-spectrum antibacterial (nano)medicines. Furthermore, putative mechanism of resistance to HK inhibitors and known antibiotics will be studied and novel antibacterial drug targets will be identified by using transposon insertion mutant libraries (Tn-libraries) to identify mutations involved in intrinsic resistance to antibiotics and/or leading to increased sensitivity to existing antibiotics in multi-drug resistant (MDR) strains.

Keywords: antibacterial drug discovery,novel antibacterials,antimicrobial resistance,histidine kinases,transposon insertion libraries,nanoparticles,structure based drug design