Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Changing the rules of domestic gas metering (NINA 2.0)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Italy
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Smart metering constitute a priority in the Energy Union strategy for they contribute to a more efficient use of energy and empower consumers to actively participate in the energy system as “prosumers”. Consequently, the EU actively fosters “new smart technologies that make it possible for consumers to control and actively manage their energy consumption”. Nevertheless, while in the case of electricity smart metering is nowadays a well launched business, the same does not hold true in for gas: notwithstanding the huge market potential (120 million across Europe) and the mandate 2009 Gas Directive for the large-scale roll-out of smart gas meters, by 2015 only 2.5 million smart gas meters were in operation, corresponding to a penetration rate of around 2%. This state of facts is mainly due to the considerable variability in gas market characteristics at a national level, whereby the majority of Member States found that, for now, costs of smart gas metering deployment outweigh the benefits Yet business benefits from installing smart gas meters clearly exist, deriving from reduced operating costs through savings in manual readings, improvement in scheduling, billing and balancing processes, and from consumer engagement opportunities. Gas retailers, i.e. companies engaged in the sale of gas to final users, are the players that would most directly take monetary advantage of the largest share of such benefits. Our project focuses on the business opportunity stemming from the unfulfilled market need of smart gas metering adoption. To seize this opportunity we have developed NINA, an innovative non-invasive device whose innovative features make of the answer to both the EU mandates tackling the societal challenge of energy efficiency through consumers empowerment, and to industry players’ need implement improvements toward next generation services while at the same time safeguarding profitability of their business.

Keywords: gas metering,domestic gas metering,smart metering,domestic utilities metering,smart sensors
European Learning and Intelligent Systems Excellence (ELISE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Spain,Italy,Italy,Italy,Italy,Italy,Italy,Germany,Germany,Austria,Switzerland,Finland,Poland,Czechia,Netherlands,Netherlands,Denmark,United Kingdom,United Kingdom,United Kingdom,Denmark,United Kingdom
Call: Towards a vibrant European network of AI excellence centres (H2020-ICT-2019-3, 2019)
Start date: 2020-09-01
End date: 2024-08-31
Duration (months): 48.0
Total project cost (EUR): 11984405.0
EU funding (EUR): 11966855.0
Participants: 30
Project status: SIGNED

ELISE aims to make Europe competitive in AI through a network of excellence. The best European researchers in machine learning and AI have worked together to attract talent, to foster research through collaboration, and to inspire and be inspired by industry and society. While ELISE starts from machine learning as the current most prominent method of AI, the network invites in all ways of reasoning, considering all types of data, applicable for almost all sectors of science and industry. While being aware of data safety and security, and while striving to explainable and trustworthy outcomes we aim to create a force to Europe. ELISE will run a PhD student and a postdoc programme to attract and to educate world-class talents to Europe. It will operate a Fellows programme for groundbreaking research and high-profile workshops to develop AI methods applications further. Industry involvement is guaranteed by the many connections members of ELISE have with industry, on average one for every member and one start-up for every second member of ELISE. ELISE will demonstrate a fraction of their research in use cases to be implemented in AI4EU and the SME’s of Europe. Additional impact will be created to SME’s through open calls. The current practice of ELISE members of spin-off research in SME’s once a break-through is achieved will be stimulated through incubators. The current practice of participating in dissemination and debate that many members of ELISE are used to will be continued to develop a mature acceptance of AI throughout Europe for the benefit of all and in cooperation with all. ELISE is built on 105 organisations in total, in which the 202 core contributors have actively indicated they will help build and profit from the networks of PhD-students and scholars. ELISE includes 60 ERC grants of their active supporters. By their citation and other accepted scores of scientific quality, ELISE is the network that combines in Europe excellence in AI.
Division of Labour and the Evolution of Complexity (Division)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2020-01-01
End date: 2025-12-31
Duration (months): 72.0
Total project cost (EUR): 2491766.0
EU funding (EUR): 2491766.0
Participants: 1
Project status: SIGNED

Division of labour is fundamental to the evolution of life on earth, allowing genes to work together to form genomes, cells to build organisms, pathogens to escape immune attack, and eusocial insect societies to achieve ecological dominance. Consequently, if we want to understand how life on earth evolved, we need to understand why division of labour does or, just as importantly, does not evolve. There are two major outstanding problems for our understanding of division of labour: First, how can we explain why division of labour has evolved with some traits, in some species, but not others? Given the potential benefits of dividing labour, why does it not arise more frequently in cooperative species? Second, in cases where division of labour has evolved, how can we explain the form that it takes? Why do factors such as the degree of specialisation, or mechanism used to produce different phenotypes, vary across species? I will combine my social evolution expertise with novel synthetic and genomic approaches to address these problems. I will explain the distribution and form of division of labour in the natural world, with an interdisciplinary research programme, divided into four work packages: (1) I will provide the first experimental test of the fundamental assumption that division of labour provides an efficiency benefit, by synthetically manipulating bacteria. (2) I will test how selection has acted for and against the evolution of division of labour in natural populations of bacteria, using novel genomic analysis techniques. (3) I will determine why division of labour evolved in some species, but not others, with an across species study on insects, and experimental evolution of bacteria. (4) I will establish a new field of research on why different species use different mechanisms to divide labour: genetic differences, environmental cues, or random assignment of roles. I will develop theory to explain this variation, and test this theory experimentally.

Keywords: social evolution,cooperation
Enterprise Lazio and Sardegna for Europe SMEs Innovation Management 2019 (ELSE SIM 2019)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Italy,Italy
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 145403.75
EU funding (EUR): 145402.0
Participants: 8
Project status: CLOSED

EEN consortia partners will improve their action providing on site support to SMEs, and becoming a part of the companies for assessing their capacity in the innovation management issues. The ELSE – SIM 2019 (Enterprise Lazio and Sardegna for Europe- SMEs Innovation Management) consortium as a whole is able to provide the expected services: Key Account Management • Assess SME gaps and needs, • Facilitate the identification and the initial coach-SME interaction to prepare coaching plan, • Support companies in the project management and administration Enhancing SME innovation management capacity , • Asses innovation management capacity based on performance, • Action plan implementation

Keywords: innovation managmener,assess,access 2 finance,coach
“Interdisciplinary NAnoscience School: from phenoMEnology to applicationS” (NaMeS)

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: Germany,Italy,Spain,Switzerland,Hungary,Slovenia,Poland,France,Netherlands,United States,United Kingdom,Canada
Call: Marie Skłodowska-Curie Co-funding of regional, national and international programmes (COFUND-DP) (H2020-MSCA-COFUND-2015, 2015)
Start date: 2016-11-01
End date: 2022-01-31
Duration (months): 63.0
Total project cost (EUR): 4604160.0
EU funding (EUR): 2302080.0
Participants: 21
Project status: CLOSED

The Project “Interdisciplinary NAnoscience School: from phenoMEnology to applicationS” (‘NaMeS’) is aimed at creating a new generation of scientists, capable of working in both scientific and business sectors, and becoming the stimulants and intermediaries of knowledge & technology transfer on an international scale. NaMeS combines chemistry, physics, mathematics, biology and material science. The Project, benefiting from former IPC achievements in nanoscience, was designed to employ the phenomenological knowledge concerning nanoscale processes to the creation of new materials applicable in industrial technology, medical diagnostics and environmental protection (in line with regional and national SMART specializations). NaMeS includes 22 separate PhD research proposals, embedded in the state-of-the-art basic science, reaching beyond academic sector and having good prospects for commercialization. These will be supervised by highly qualified and experienced IPC scientists, often the authors of patents. Additionally, every ESR will be co-supervised by an excellent scientist from an adequate foreign research institution. In the course of NaMeS, ESRs will be seconded to these partner institutions to gain new knowledge, skills, contacts, and experience coming from working in an international environment. The Project will run in parallel to the existing IPC doctoral school. It will partly benefit from its structure, with essential modifications in research and educational programmes, securing the required international and inter-sectoral flows. In particular, NaMeS will include a collection of specialized lectures, dealing with various aspects of nanoscience – theoretical, experimental, and application-oriented – delivered by internationally recognized experts. It will also be enriched by internships, assuring the cross-fertilization between different disciplines, and by the courses on transferable skills.

Keywords: nanoscience,interdisciplinary,applications,advanced materials
Innovative combination therapy against bladder cancer (INNOBCT)

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-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The objective of this project is to lay foundation for the continued clinical development and commercialisation of MFA-370, a novel medication against Bladder Cancer (BC). BC is the ninth most common cancer worldwide. In Europe, more than 175,000 people are diagnosed with BC in Europe each year, and this number is increasing, especially among women. Compared to other major cancer types, the relative five-year survival rate in BC has remained unchanged for the past 20 years. The implications are clear: the development of new therapies targeting BC is thus warranted and in great demand among clinicians and BC patients. The established treatments are highly aggressive, leading to major side-effects and reduction in QoL among patients. Recognizing large unmet clinical need, Ectin has developed a novel combination BC therapy consisting of a well-defined ratio of two commonly utilized pharmaceuticals with expired patents. In the pre-clinical studies, MFA-370 has shown to be able to induce cancer cell death without the addition of any chemotherapeutic or radiotherapeutic agent. This offers a new hope to BC patients. The pre-clinical evaluation of this medication is completed, enabling continued development process. In the Phase 1 project, we will develop a business plan that will guide the future clinical studies and exploitation efforts (to be pursued in the Phase 2 project). The assumed commercialisation strategy is to take the product to the Phase I/IIa level and thereafter acquire strategic partner for continued clinical studies and market launch. Fighting BC is an EU-wide challenge, as it is one of the most expensive malignancies to treat and affects all genders and age groups. At the same time, research targeting the disease is greatly underfunded in the EU and internationally. MFA-370 delivers in this context a strong EU-added value by its potential to induce tumour necrosis in BC and being based on well-documented compounds that are cost-efficient to manufacture.

Keywords: bladder cancer,combination therapy,oral treatment for bladder cancer
An experimentally-validated multi-scale materials, process and device modeling & design platform enabling non-expert access to open innovation in the organic and large area electronics industry (MUSICODE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Greece,Switzerland,Greece,Czechia,United Kingdom,United Kingdom,United Kingdom
Call: Open Innovation Platform for Materials Modelling (RIA) (H2020-NMBP-TO-IND-2020-twostage, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 4992000.0
EU funding (EUR): 4992000.0
Participants: 13
Project status: SIGNED

MUSICODE is an ambitious project which addresses the H2020 Call DT-NMBP-11-2020 “Open Innovation Platform for Materials Modelling” that will develop a novel Open Innovation Materials Modelling Platform to enable the Organic and Large Area Electronics Industry (OLAE) to expediate accurate and knowledgeable business decisions on materials design and processing for optimization of the efficiency and quality of OLAE device manufacture. This platform will integrate: (a) Material, process and device modelling with workflows spanning the micro-, meso- and macro- scales, validated by expert academic and industry partners. (b) Integrated data management and modelling framework with ontology-based semantic interoperability between scales, solvers, data and workflows, with industry-accepted material and process modelling parameters and protocols, employing graphical user interface tools for workflow design, analysis, optimization and decision making. (c) Plug-ins to Materials Modelling Marketplaces, Open Translation Environment, Business Decision Support Systems, etc. and to High Performance Computing infrastructures for workflow execution. The platform will demonstrate industry user case workflows to optimize OLAE materials selection & design as well as printing and gas-phase manufacturing. The MUSICODE Business Plan will ensure the platform sustainability, exploitation and industrial adoption beyond the project, with the ambition to become the central Open Innovation Hub for the OLAE industry and evolve as the central paradigm for cross-domain applications.

Keywords: organic electronics,multiscale materials modelling and validation,manufacturing process modelling,interoperability,ontology,database,open innovation platform,integrated modelling framework
Better MPC Protocols in Theory and in Practice (MPCPRO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Denmark
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-10-01
End date: 2021-03-31
Duration (months): 66.0
Total project cost (EUR): 2421995.0
EU funding (EUR): 2421995.0
Participants: 1
Project status: CLOSED

Multiparty computation (MPC) is a cryptographic technique allowing us to build distributed computer systems for handling confidential data. We can control exactly what information is released from the system, and privacy of the input data is maintained, even if an adversary breaks into several of the machines in the system. The efficiency of MPC protocols has been significantly improved in recent years. There are countless applications and the techniques are just now entering the commercial domain. However, the theory of the area has in several respects failed to keep up with this development, and we are still very far from being able to apply MPC to large-scale applications. In this project, we propose that state of the art for MPC protocols can be dramatically advanced by 1) Developing a completely new theory for the performance of MPC protocols based on a more detailed model that better reflects what happens when protocols are executed on real platforms. 2) Use the new theory to guide development and implementation of new MPC protocols that will perform much better in practice. 3) Explore the limits of what we can achieve by showing new lower bounds for MPC protocols, attacking a number of long-standing open problems. This will enable us to focus our attention to where improvements are possible.

Keywords: multiparty computation,protocols
A multidisciplinary approach to cell division: From human oocyte to synthetic biology (DivIDe)

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: Life Sciences
Countries involved: Germany,Austria,Germany,Germany,Germany,Spain,France,France,France,Netherlands,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2016-04-01
End date: 2020-03-31
Duration (months): 48.0
Total project cost (EUR): 2802363.62
EU funding (EUR): 2802363.62
Participants: 12
Project status: CLOSED

The cell is the universal unit of living matter, and there cannot be propagation of life without cell division. DivIDe aims to investigate the mechanisms and principles of cell division and to reproduce them in vitro with synthetic approaches. Crucial to cell division is the mitotic spindle, a structure whose main duty is the separation of chromosomes. The spindle is made of microtubules (MT), molecular motors, and MT-binding factors, some of which show astounding complexity. The mitotic spindle is the one of the cellular structures that best represents the ability of biological matter to self-organize though arrays of dynamic protein-protein interactions. It rapidly assembles when cells enter mitosis, and it disassembles, after sister chromatid separation and mitotic exit. The complexity and dynamic behaviour of the mitotic spindle captures the imagination of synthetic biologists and modellers. These “molecular engineers” try to understand and harness the principles of self-organization to generate new biological structures endowed with the most typical features of biological matter, the ability to harness energy to do mechanical or chemical work. The emerging discipline of synthetic biology aims to bring together modellers, physicists, and chemists, with biochemists, structural biologists and cell biologists. So does DivIDe, which will train a new generation of molecular engineers endowed with a strong basis in quantitative computational and biochemical methods, and therefore capable of addressing cellular and molecular mechanisms. Furthermore, molecular engineering harbours industrial applications, and DivIDe will continuously provide results for potential exploitation by the three SME partners. Training in management skills, conceptual and ethical thinking, communication and networking will complement the scientific offer. In summary, DivIDe will be able to teach an integrated package of skills and will train the molecular biologists of the future.

Keywords: microtubule,mitotic and meiotic spindle,kinetochore,midbody,tubulin ptms,molecular,motors,polyglutamylation,high throughput screening,in vitro reconstitution,modelling,simulation