Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Comprehending internet voting impact on open government: An international comparative study (CIVICS)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Estonia
Call: Widening Fellowships (H2020-WF-03-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 142193.28
EU funding (EUR): 142193.28
Participants: 1
Project status: SIGNED

This project aims to cognise the impact of internet voting on open government in international comparative perspective. It is inspired by the assumption that the use of i-voting for e-consultations, e-referenda, and especially e-elections promotes direct, participatory, and representative democracy as well as more transparent, engaging, and accountable governance. To test this, the project puts forward the objectives to identify i-voting impact on voters, civil society organisations, authorities, open government as a system, and discover conditions affecting i-voting impact in these aspects. In contrast to the available studies that focus on a single country, a specific i-voting campaign, or a narrow aspect and miss the link to open government, this research endeavours to examine a more complete set of i-voting countries, campaigns, instruments, dimensions and associate i-voting with open government. Conceptually it views open government as collaborative public policy making by citizens and authorities. Methodologically it will be accomplished by: policy analysis of i-voting legislation and reports; content-analysis of public and civic websites; statistical analysis of i-voting results tables, log files and public opinion surveys; and qualitative comparative analysis of i-voting- and open government-related variables. The study will be carried out at the Johan Skytte Institute of Political Studies, University of Tartu, Estonia – the pioneer institution researching e-government in the only country in the world that has implemented i-elections for all voters. Principally, the action foresees collaborating with the ERA Chair in E-governance and Digital Public Services research team, mastering advanced methods of statistical analysis, and using mixed methods to model and assess the impact of i-voting on open government venturing to circulate academic findings and practical recommendations for a more influential i-voting, empowered e-participation, and good e-governance.

Keywords: internet voting,electronic voting
I-MOVE+ Integrated Monitoring of Vaccines Effects in Europe: a platform to measure and compare effectiveness and impact of influenza and pneumococcal vaccines and vaccination strategies in the elderly (I-MOVE-plus)

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,Ireland,Germany,Spain,Spain,Spain,Italy,Lithuania,Hungary,Norway,Finland,Croatia,Poland,Romania,France,France,France,France,France,France,Netherlands,United Kingdom,United Kingdom,United Kingdom,Denmark,United Kingdom,Portugal,United Kingdom
Call: Comparing the effectiveness of existing healthcare interventions in the elderly (H2020-PHC-2014-two-stage, 2014)
Start date: 2015-05-01
End date: 2018-10-31
Duration (months): 42.0
Total project cost (EUR): 7520005.0
EU funding (EUR): 7482728.75
Participants: 35
Project status: CLOSED

The I-MOVE+ Consortium includes European Union (EU) Public Health Institutes, SME and Universities. It aims at measuring and comparing the effectiveness (VE) and impact (VI) of influenza and Pneumococcal vaccines and vaccination strategies a in the elderly population in Europe. The goal is to develop a sustainable platform of primary care practices, hospitals and laboratory networks that share validated methods to evaluate post marketing vaccine performances. The objectives are to identify, pilot test, and disseminate in EU the best study designs to measure, on a real time basis, VE (direct effect) and the VI of vaccination programmes (indirect and overall effect) against laboratory confirmed cases of influenza (types/subtypes) and pneumococcal disease (serotypes), and clinical outcomes. Cost effectiveness analysis will be conducted. Results will allow to understand factors affecting specific VE, the duration of protection of influenza and pneumococcal vaccines, the interaction between vaccines, the role of repeated vaccinations, the occurrence of serotype replacement (pneumococcus); identify vaccine types and brands with low VE; guide the decision of the WHO committees on vaccine strain selection (influenza); provide robust benefit indicators (VE and VI) and cost benefit and effectiveness results; guide vaccination strategies (schedules, doses, boosters). This EU member state collaboration will respond to questions that require studies based on large sample sizes and sharing of expertise that cannot be achieved by one country alone. It will allow the best methods to be used and results to benefit to all EU countries whatever their current public health achievements. Results will be shared with international partners.

Keywords: vaccines,effectiveness,impact,european platform,multicenter studies,influenza,vaccination strategies,pneumococcal,hospital,laboratory,networks,performance,measures,cost and risk benefit
Novel light sources for biomedical-imaging applications (NOVLASE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Finland
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2015, 2015)
Start date: 2015-12-01
End date: 2016-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Narrow band light sources can provide doctors such information on a patient which is not (or is barely) visible using conventional white light sources. Narrow band light sources can improve both the early detection of cancer as well as the early detection of diabetes. Traditional white light sources (like Xenon lamp) are heavy, expensive and the lamp needs to be regularly replaced. Laser light sources are gradually replacing white light sources due to their advantages but current lasers are complex, expensive and only few wavelengths/colours are available. Our novel proprietary laser technology solves these issues thanks to new innovative nanostructures which we have developed and integrated to our laser components. The technology allows cost-efficient fabrication of any visible wavelength/colour and products are served to customers in an ultra-compact package with standard easy-to-use interface. The initial market segment for the laser module developed and sampled to customers in Phase 1 is Narrow Band Imaging application for endoscopic diagnostics. Global endoscopy instrument market is expected to grow from $23.3 billion in 2010 to $33.7 billion in 2016. In Phase 2, we expand our product portfolio by introducing more wavelengths/colours to retina imaging application. We also kick off mass-production with our existing European production partners to satisfy the demand for our products. Most key customers (and competitors) locate in USA, Japan and China. Our technology platform allows us to enter several applications in emerging biomedical-imaging, industrial and consumer electronics markets. NOVLASE boosts our product development and helps us introduce new products to these new markets faster. We expect to need 1.0 – 1.5 m€ in Phase 2 and raise a venture funding in the end of the project to secure the projected strong growth.

Keywords: laser light source,laser diode,biomedical,imaging,endoscopy,retina,cancer,diabetes,nanostructures,visible wavelength,colour
Chemical Recycling for the New Plastic Economy (CRNPE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: United Kingdom
Call: European SME innovation Associate - pilot (H2020-INNOSUP-02-2016, 2016)
Start date: 2017-10-12
End date: 2018-10-11
Duration (months): 12.0
Total project cost (EUR): 78727.5
EU funding (EUR): 78727.0
Participants: 1
Project status: CLOSED

Global production for plastic has grown to over 300Mt/year and rising. However, only 14% of plastic packaging is collected for recycling, and plastic packaging with an economic value of €70-110 billion is lost annually to the economy after just a short use. The vast majority of plastic is still disposed of by incineration or landfill, with in excess of 8Mt leaking into the oceans each year. It is estimated that by 2050 there will be more plastic than fish in the ocean. Recycling Technologies Ltd. has developed a process that recycles end-of-life mixed plastic waste [MPW] into a commercially valuable hydrocarbon called Plaxx. The technology is capable of processing varied types of MPW. Plaxx produced by the process can be used as a substitute for Heavy Fuel Oil but with the advantage of being very low sulphur. However, rigid food containers and items such as drinks cartons etc., use laminates of differing polymers. The widespread use of dyes, fillers and other additives, alongside contamination from the contents of the original packaging, presents challenges for our process. Currently, our process is designed to process MPW with low levels of contamination. Capability to process a higher level of contamination through our process opens up markets 2-3 times bigger than at present. Therefore the aim of this project is to further develop the gas filtration system of the technology, and the recruitment of an Associate with the level of expertise to realise this innovation opportunity is therefore essential. During the project, the Associate will research on widely used gas filtration technologies and recommend the ones which are suitable and scalable for our process. The success of this project underpins RT’s vision - to establish a commercially attractive process that will ultimately eliminate landfilling, incineration and the leakage of plastics into the oceans.

Keywords: plastic waste,plastic,gas filtration,research,waste management,fuel,chemical engineering
Age-dependent mechanisms of sporadic Alzheimer’s Disease in patient-derived neurons (AGEMEC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Austria
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1499565.0
EU funding (EUR): 1499565.0
Participants: 1
Project status: TERMINATED

Sporadic Alzheimer’s Disease (AD) accounts for the overwhelming majority of all AD cases and exclusively affects people at old age. However, mechanistic links between aging and AD pathology remain elusive. We recently discovered that in contrast to iPSC models, direct conversion of human fibroblasts into induced neurons (iNs) preserves signatures of aging, and we have started to develop a patient-based iN model system for AD. Our preliminary data suggests that AD iNs show a neuronal but de-differentiated transcriptome signature. In this project, we first combine cellular neuroscience assays and epigenetic landscape profiling to understand how neurons in AD fail to maintain their fully mature differentiated state, which might be key in permitting disease development. Next, using metabolome analysis including mass spec metabolite assessment, we explore a profound metabolic switch in AD iNs that shows surprisingly many aspects of aerobic glycolysis observed also in cancer. While this link might represent an interesting connection between two age-dependent and de-differentiation-associated diseases, it also opens new avenues to harness knowledge from the cancer field to better understand sporadic AD. We further focus on identifying and manipulating key metabolic regulators that appear to malfunction in an age-dependent manner, with the ultimate goal to define potential targets and treatment strategies. Finally, we will focus on early AD mechanisms by extending our model to mild cognitive impairment (MCI) patients. An agnostic transcriptome and epigenetic landscape approach of glutamatergic and serotonergic iNs will help to determine the earliest and probably most treatable disease mechanisms of AD, and to better understand the contribution of neuropsychiatric risk factors. We anticipate that this project will help to illuminate the mechanistic interface of cellular aging and the development of AD, and help to define new strategies for AD.

Keywords: alzheimer s disease,human disease modeling
Disrupting the food safety chain. The decontamination unit that removes more than 99% of pathogenic bacteria during poultry meat slaughtering and processing (DECONIZER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Hygiene procedures to avoid the growth of spoilage and pathogenic bacteria within the food supply chain are only preventive since no better available decontamination methods exist, and their inefficiency is reflected by the high prevalence of foodborne outbreaks reported. In 2016, 356,6124 human cases of zoonoses were reported in the EU, with Salmonella and Campylobacter jejuni being responsible for most of them. DECON SFS is a Norwegian company led by Vidar Julien (communications and crisis management director at Nutreco NV for 10 years), created to develop and commercialize food decontamination technologies eliminating bacteria from poultry meat. The result of 8 years and € 4.5M is Deconizer (TRL6-7), a decontamination unit based on hydro thermal bacteriolysis (HTB) technology, which uses superheated steam in combination with a large electromagnetic field which charges the steam particles directing them towards the meat surface eliminating 99% of bacteria. Deconizer has been tested and validated in laboratory (at the Norwegian Food Research Institute, Nofima) and real operation conditions in the Spanish companies SADA and PUJANTE, confirming decontamination rates over 99%. Deconizer´s uniqueness relies in the reduction of carcasses cross-contamination, while having no impact on visual appearance, taste, smell or colour and extending products’ shelf life. Meat is still fresh, opposed to some preventive decontaminating methods relying on freezing and hot water. Given there are not big competitors on the market, we expect to sell at least 56 Deconizer units across slaughterhouse poultry processing plants in the first 3 years of commercialization to reach € 16.1 M of revenues (ROI of 4.2), while creating 10 direct new jobs. The IP generated, will also allow DECON SFS to expand the application portfolio, since HTB can be applied to other types of highly consumed meat (e.g. pork, beef and sheep).

Keywords: food supply chain,poultry meat,slaughtering,cross contamination,food safety,spoilage,pathogenic bacteria,decontamination,salmonella,campylobacter,hydro thermal bacteriolysis
Automatic generation of Chemical Models (AutoCheMo)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany,Belgium,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-09-01
End date: 2022-08-31
Duration (months): 48.0
Total project cost (EUR): 1035430.08
EU funding (EUR): 1035430.08
Participants: 3
Project status: CLOSED

The scientific software company SCM, the Center for Molecular Modeling at Ghent University, and the Leonhard group at RWTH Aachen University, who share established collaborations in method development and software implementation as well as in the training of PhD students, propose to develop new concepts and tools to advance the field of complex reaction systems modelling. The automatic derivation of complex chemical models from molecular simulations has the potential to become a very cost-effective tool in the design of industrial chemical reactors. This has driven the enormous progress in the field over the past decades but the exploration of complex reaction networks currently still requires an extensive (and sometimes unfeasible) amount of manual labor. We will surmount these manual bottlenecks by extending established methodologies (ChemTraYzer, ReaxFF and transition state theory) and by addressing their main limitations (scaling towards extended systems, overall reliability and the quantum-mechanical description of anharmonic modes, respectively) with new theoretical models and their corresponding implementations in user-friendly simulation software. The project contains four well-aimed research-oriented work packages, with one ESR taking the lead in each topic but with plenty opportunities to collaborate and exchange results. Each topic touches upon the expertise of all beneficiaries, yet they all have their own commercial or academic perspective on the project. Research actions are organized in conjunction with local and network-wide training, including academic and industrial specialist courses, transferable skills training, (international) workshops and training-through-research. The training events are dispersed throughout the timeline of the project, which will be an ideal platform for the ESRs to flourish and become future leaders in academic or industrial research.

Keywords: reactive force fields,molecular dynamics,chemical models,complex reaction networks,bayesian inference,reaxff,automated force field parameterization
Epigenetic and metabolic regulation of endothelial heterogeneity (EMERGE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany,Germany
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-03-01
End date: 2024-02-29
Duration (months): 72.0
Total project cost (EUR): 1998750.0
EU funding (EUR): 481236.94
Participants: 2
Project status: SIGNED

Heterogeneity within the endothelium is increasingly recognized in both normal and disease conditions, influencing vascular architecture, structure, and function. The diverse phenotypes that endothelial cells (ECs) adopt suggest substantial plasticity and indicate that heterogeneity is a core property that enables ECs to fulfill their tissue-specific tasks. However, the molecular basis for tissue-specific endothelial differentiation and heterogeneity remains largely unknown. In this project, we will study the impact of environmental context on endothelial specialization and focus on the emerging relationship between metabolism, epigenetics, and cellular differentiation. We hypothesize that organ-specific differences in endothelial metabolic state, through altered epigenetics, promote specialization and thereby contribute to heterogeneity within the vascular system. The proposal rests on the notion that many of the enzymes that erase epigenetic modifications (from DNA and histones) are exquisitely sensitive to changes in metabolism as they utilize cosubstrates that are generated by cellular metabolism. Using a combination of state-of-the-art genetics, high-resolution imaging, metabolomics, and biochemistry, we will study the role of these epigenetic mechanisms for general and organ-specific blood vessel formation (Objective I) and determine their regulation by metabolic and vascular differentiation signals (Objective II). Moreover, we will explore whether metabolic changes during obesity and aging impact the maintenance of endothelial specialization, and assess whether deregulation of metabolic-epigenetic signalling leads to endothelial malfunction and organ failure (Objective III). We trust that the knowledge gained through this project will provide a conceptual framework for understanding how environmental context can drive vascular heterogeneity and, more generally, how alterations in metabolism and nutrition might contribute to vascular-related diseases.

Keywords: vascular biology,angiogenesis,endothelial cells,endothelial heterogeneity,endothelial metabolism,vascular disease
Cloud-based Situational Analysis for Factories providing Real-time Reconfiguration Services (SAFIRE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Spain,Spain,United Kingdom,United Kingdom
Call: Digital automation (H2020-FOF-2016, 2016)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 3137076.25
EU funding (EUR): 3137076.25
Participants: 7
Project status: CLOSED

In traditional models of manufacturing, the information flow from product design, over production processes, to the manufactured product has been strictly unidirectional. The production equipment “blindly” executes tasks that have no direct relationship to the concepts that are present in the original design models and the product is used with little or no feedback concerning product use patterns. In order to enhance the manufacturability of products and at the same time the flexibility of both factory production systems and modern products, both effective configurability and feedback to design and production is required to assure their highest efficiency. The SAFIRE project will provide technology and infrastructure to enable Reconfiguration as a Service for dynamic smart factory systems and manufactured smart products that take advantage of cloud-based services and computing power to continually optimise the performance of manufacturing systems and products with respect to key performance characteristics including throughput, power consumption, utilisation, maintenance and other factors. A key objective of the project is to develop cloud-based analytics and reconfiguration capabilities that extend the operating systems of smart factories with: 1) both reactive and predictive reconfiguration for production systems; 2) flexible run-time reconfiguration decisions during production rather than pre-planned at production planning time; 3) real-time reconfiguration decisions for optimisation of performance and real-time production functions. The advanced analytics and reconfiguration capabilities will be based on innovations in shared situational awareness and mastering the big data challenges associated with sensor, smart objects and process data from manufacturing, logistics and enterprise systems.

Keywords: real time reconfiguration,situational awareness,self adjusting,smart objects,predictive big data analytics