Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Migrant Life Course and Legal Status Transition (MiLifeStatus)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Italy,Netherlands
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-08-01
End date: 2021-12-31
Duration (months): 65.0
Total project cost (EUR): 1799034.44
EU funding (EUR): 194144.98
Participants: 2
Project status: CLOSED

When does citizenship provide a boost to migrant integration? A fast-track to citizenship can maximise the potential for settlement success, though too short a pathway can disincentivise integration. Not all migrants have an equal interest in naturalising and some are discouraged by restrictive policies. Yet little is known about why, how and for whom legal status transition matters and, especially, how policy variation impacts on this relation. Which migrants are most discouraged by stricter requirements for naturalisation? For whom carries citizenship the largest pay-off? Does it still matter if a migrant acquires citizenship after a long waiting period? This project combines for the first time the ideas that a) migrants have different motivations to naturalise; b) legal status transitions are conditioned by the institutional and socioeconomic contexts in origin and destination countries and c) the potential ‘integration premium’ associated with naturalisation is conditioned by the trajectory into citizenship. The innovative project contributions are: 1. modelling migrants’ legal status transitions as life course events, which are shaped by migrants’ origin, their family context and societal structures and institutions; 2. analysing the relevance of citizenship for work and income, living conditions, health status and out-migration among immigrants and for educational attainment among their descendants; 3. developing novel methodologies to analyse step-to-citizenship trajectories and the impact of policy changes on status transitions and related outcomes among migrant groups and cohorts; 4. testing models on the basis of a unique combination of longitudinal register-based and survey-based micro-data in 8 European and North American countries, which provide the comparative context to analyse the impact of institutional variation; 5. yielding information for targeted citizenship policies to maximise settlement success for immigrants and their children.

Keywords: citizenship,naturalisation,migration,immigrant integration,life course
Optimal Decision Making under Uncertainty in Biomanufacturing Operations (OPTBIOMAN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

An inter-disciplinary modelling and optimization framework will be developed to economically optimize biomanufacturing decision under high process variability, failure risks, and expensive operating costs. New stochastic models will be developed to link the underlying biological and chemical dynamics of the biomanufacturing processes (cell-level dynamics) with the financial trade-offs in terms of yield, quality, operating costs, and failure risks (manufacturing system-level dynamics). In particular, the research project will model and analyze the economics of the upstream fermentation and downstream purification operations. Novel approximations and heuristics will be developed based on the unique features of the problem setting in order to solve large size problems encountered in industry practices. Optimal (near-optimal) operating policies will be theoretically and numerically analyzed for both upstream fermentation and downstream chromatography operating decisions. The framework will provide timely and effective tools and models to economically optimize biomanufacturing decisions. A solid inter-disciplinary research foundation will be built combining the knowledge from the biological and chemical engineering, stochastic control, reliability theory, and manufacturing systems engineering. This research project will expand and strengthen the industry network of the OPAC group at Eindhoven University of Technology towards the emerging biomanufacturing industry in the Europe. The tools and models developed in this project will be relevant to the European industry practices, and will benefit the European society by making these therapeutic drugs more accessible in the future.

Keywords: biomanufacturing,stochastic modeling,process economics,optimization
Break-Through Rocks (BREAK)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Norway,France
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 3421845.0
EU funding (EUR): 2575970.0
Participants: 2
Project status: SIGNED

Deformation in Earth’s crust localizes onto faults that may rupture rapidly producing earthquakes or undergo slow aseismic slip. The detailed mechanisms that control the transition between the seismic and aseismic regimes and the onset of earthquakes remain unknown. These mechanisms control the geophysical processes preceding catastrophic failure, such as fracture development and strain localization on faults and in the rock volumes surrounding them. Our goal is to provide the first quantitative laboratory observations of the full displacement field in rocks before and during fault slip, and separate the aseismic and seismic components of it. We will develop novel experimental techniques based primarily on simultaneous dynamic synchrotron X-ray microtomography imaging and acoustic emission data acquisition and analysis. The data will reveal how slow and fast deformations develop and interact with each other in dry and wet crustal rocks under the stress, fluid pressure and temperature conditions at depths up to 10 km, and characterize the production of fractures during earthquake nucleation and rupture propagation. We will search for weak signals before dynamic rupture and develop ways to predict the time to failure from these signals. If we can demonstrate that the joint analysis of acoustic emission signals and X-ray microtomography data can be used to predict dynamic rupture in our experiments, we will have discovered an important lead towards earthquake prediction, which we will pursue in follow-up projects. We will compare the deformation microstructures produced in laboratory experiments with those of natural rock samples collected in California and Norway, where earthquakes occurred. The overarching goal is to progress toward a general model of the path to brittle failure in rocks by advancing knowledge of how fractures accumulate before and during both slow and fast earthquakes, under dry conditions and in the presence of water.

Keywords: laboratory earthquakes,rock physics,synchrotron imaging
European Support to Social Innovation (ESSI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain,Italy,Finland,Türkiye
Call: Peer learning of innovation agencies (H2020-INNOSUP-05-2016-2017, 2017)
Start date: 2017-10-01
End date: 2018-10-31
Duration (months): 13.0
Total project cost (EUR): 50000.0
EU funding (EUR): 50000.0
Participants: 4
Project status: CLOSED

The four Regional Development Agencies, ERVET, ADA, KAINUUN ETU, IVACE operating in the North and in the South European Regions (Italy, Turkey, Finland, Spain), dealing with innovation support programmes, implementation of Structural Funds Regional Operative Programmes (ROP ESF, ERDF 2020) and experienced in social innovation policies and programs want to deepen their knowledge and find joint solutions to challenges hindering the development of social economy. Thus, they want to promote new approaches able to overcome a fragmented approach to policies supporting social economy and the innovation and competitiveness of social enterprises. A new policy mix, taking into consideration social, economic and environmental aspects (Agenda 2030), would be able to overcome “silos policies” and to create a favorable ecosystem for social enterprises. They will work together with regional public and private social economy stakeholders to analyze beneficiaries’ needs and promote new policies and actions. Already existing approaches and best practices will be shared in a mutual learning process among Regional Development Agencies, and related regions, that will be enlarged through EURADA and ERRIN networks for more effective and targeted regional and European innovation programs for social enterprises. Moreover, partners, accordingly with INNOSUP general scope, choose to focus on social innovation as it is “required at the interface between public services and private enterprises” with a view to jointly learn and discuss about public and private partnership and co-design approach

Keywords: public private partnership and co design,finance for social innovation,social enterprises value chains,innovation through ict
Part-up.com - the open competence platform with high social impact (Part-up Phase1)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Netherlands
Call: New business models for inclusive, innovative and reflective societies (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-06-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

We are living in the Postnormal Era, where platforms like Uber, eBay, AirBnB are disrupting traditional business models and the nature of work is also rapidly changing as an ever increasing portion of workforce becomes freelancers. The rise of freelancer movement together with new ways of organizing work have dramatically changed the economic landscape. In this new environment the value creation happens in global talent networks, and the potential for disruptive innovations is embedded in the dispersed, decentralized organizations and teams. New challenges resulting from this development require effective tools to enable business environment and the entire society to adapt. As a result, platform thinking is gaining momentum in the innovation management field. Various platforms and especially so called competence platforms are anticipated to dramatically boost the global economy through improved productivity and higher degree of workforce utilization. According to a recent McKinsey’s foresight, online talent platforms can boost the global GDP by USD 2,7 trillion by 2025. And this is exactly the area where Part-up is going to have global impact! In contrast to trading platforms, where a few global vendors have evidently gained huge market capitalization, the competence platform segment is still a battlefield open for emerging solutions. Part-up is one of the most potential challengers to fill the gap and become the global leader in this market. Part-up provides a platform-based service especially designed to help companies, freelancer communities and individuals to create teams with new combinations of competences. The platform supports crucial phases in team building, in organizing networked workflows, in generating value within decentralized organizations and in creation of new networked business models. Organizing the value creation in teams by a flexible, engaging and productive way is the core of Part-up’s business.

Keywords: open innovation,competence platforms,serendipity,freelance,virtual breeding,environments,decentralized organizations,co working,innovation communities,social entrepreneurship
Real-time plant monitoring based on bioelectrical signals (PhytlSigns)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Switzerland
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-10-01
End date: 2018-02-28
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

PhytlSigns is the world’s first wearable for plants that harnesses bioelectrical signals, translates them into digital form & visualizes them for further analysis. PhytlSigns amplifies the plant signals & reduces the background noise, allowing plant researchers & plant growers to measure important plant activity in response to changing environmental conditions. PhytlSigns allows to detect dangerous conditions such as pests or insects while the damage is still limited, saving growers thousands of euro per greenhouse & growth cycle. Because electrical activity of plants is negligible compared to the electromagnetic interference around them, until now measuring it was possible only in labs with Faraday cages & other expensive equipment, which severely limited their practical applications. PhytlSigns is currently used by plant researchers (such as University of Lausanne & Tel Aviv, Agroscope, etc.) to measure responses of tomatoes & eggplants to stress factors, to insect attacks & agrochemicals use and to track changes of nectar production in flowering plants. PhytlSigns is aimed at getting a 30% share of the €100m total target market of equipment for plant researchers and 5-10% share of the ~1.3bn market of smart agriculture equipment for plant producers (in greenhouses) Globally, PhytlSigns will contribute to wider adoption of smart agriculture addressing global food security & sustainability issues, as well as fostering novel agricultural research. Vivent forecasts €30m+ revenues & 40+ employees in 2023. In this Phase 1 project Vivent will produce a report that includes in-depth competitive threats analysis, additional market requirements & integration scenarios, sales/distribution strategy & detailed go-to-market strategy.

Keywords: bioelectrical signals,plant monitoring,electrophysiology
INdividual Vascular SignaTure: A new machine learning tool to aid personalised management of risk for cardiovascular disease (INVeST)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-09-02
End date: 2018-09-01
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Health authorities in the EU have started to investigate the benefits of personalised health risk assessments and interventions in many diseases including cardiovascular disease (CVD), a worldwide leading cause of disability and mortality. Personalised health care aims at better diagnoses and earlier interventions, more efficient drug development and more effective therapies, thus providing better tools for clinical decision making and disease prevention. The INVeST project will produce for the first time a method that creates an individual vascular signature that is sensitive enough to aid early prediction and personalised intervention in CVD as well as treatments follow-up. INVeST will be able to provide the above through the following steps: (1) by participating in a short non-invasive eye test, any person can be provided with their own INVeST report, based on which lifestyle advice can be provided by a trained healthcare provider to improve their health and (2) if risk or CVD pathology is detected and intervention is applied, INVeST can help provide a progress report on the personalised intervention effectiveness and health improvements. The Fellow will (1) develop a mathematical model that describes each individual’s real-time retinal microvascular dynamic response to provocation, (2) identify and apply novel classifiers capable of accurately distinguishing between variation of healthy responses and pathological cases, (3) develop the mathematical apparatus, which based on the individual retinal vessel profile predicts the (individual) risk of developing CVD. INVeST brings together a talented young Fellow with background in computer science with three well-known groups in vascular imaging, computer science and health informatics. Following INVeST, with a portfolio encompassing personalised medicine, statistical model building, classification and CVD risk prediction, the Fellow will be an invaluable asset to the European multidisiplinary research community.

Keywords: personalised medicine
Governing sustainable energy-mobility transitions: multi-level policy mixes, transformative capacities and low-carbon innovations (EMPOCI)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-06-01
End date: 2025-11-30
Duration (months): 66.0
Total project cost (EUR): 1499964.0
EU funding (EUR): 1499964.0
Participants: 1
Project status: SIGNED

In its recent 1.5°C report the IPCC stressed that global efforts to promote low-carbon transitions need to be accelerated to meet the Paris Agreement. This raises a number of questions for the emerging field of policy mixes for sustainability transitions, such as on the role of actors and multi-level governance in politically contested socio-technical transition processes. In this project, I aim to address these knowledge gaps by asking how low-carbon transitions in the increasingly interconnected energy and mobility systems as major contributors to greenhouse gas emissions can be accelerated. EMPOCI has three objectives: Objective 1: To provide a novel conceptual and empirical understanding of the global interplay between multi-level policy mixes and low-carbon innovations in socio-technical transitions which foregrounds the role of actors and transformative capacity. -> By bridging the innovation and policy studies literatures and comparatively analyzing the increasingly interconnected electricity-mobility-ICT systems in four key countries, EMPOCI will advance the research frontier on transformative policy mixes for low-carbon transitions. Objective 2: To develop and test widely applicable novel methodological tools enabling both deep and broad insights into the drivers and barriers in unfolding multi-sectoral transition processes towards sustainability. -> Drawing on a multi-method research design EMPOCI will provide novel standards for assessing policy, agency and innovation dynamics in politically contested low-carbon transition processes (e.g. survey, big data). Objective 3: To co-design practically relevant multi-actor strategies for accelerating sustainable energy-mobility transitions, thereby supporting the Paris Agreement in combating climate change. -> Based on EMPOCI's findings a transformative foresight process is organized with stakeholders from business, policy, academia and society to jointly derive implications for transformative policy mixes.

Keywords: innovation studies,transition studies,policy mix,system innovation,agency,credibility,consistency,coherence,policy process,technological innovation,policy innovation,social innovation,institutional innovation,transformative capacity,socio technical change,climate policy,industrial policy
Europa Biodiversity Observation Network: integrating data streams to support policy (EuropaBON)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Protection of the environment, sustainable management of natural resources, water , biodiversity and ecosystems
Action type: Coordination and support actions
Countries involved: Spain,Estonia,Austria,Germany,Spain,Germany,Norway,Norway,Belgium,Belgium,Bulgaria,Netherlands,Netherlands,United Kingdom,United Kingdom,Portugal,Portugal
Call: Monitoring ecosystems through research, innovation and technology (H2020-SC5-2020-1, 2020)
Start date: 2020-12-01
End date: 2024-05-31
Duration (months): 42.0
Total project cost (EUR): 2994318.75
EU funding (EUR): 2994318.75
Participants: 18
Project status: SIGNED

Observations are key to understand the drivers of biodiversity loss, and the impacts on ecosystem services and ultimately on people. Many EU policies and initiatives demand unbiased, integrated and regularly updated biodiversity and ecosystem service data. However, efforts to monitor biodiversity are spatially and temporally fragmented, taxonomically biased, and lack integration in Europe. EuropaBON aims to bridge this gap by designing an EU-wide framework for monitoring biodiversity and ecosystem services. EuropaBON harnesses the power of modelling essential variables to integrate different reporting streams, data sources, and monitoring schemes. These essential variables provide consistent knowledge about multiple dimensions of biodiversity change across space and time. They can then be analyzed and synthesized to support decision-making at different spatial scales, from the sub-national to the European scale, through the production of indicators and scenarios. To develop essential biodiversity and ecosystem variables workflows that are policy relevant, EuropaBON is built around stakeholder engagement and knowledge exchange (WP2). EuropaBON will work with stakeholders to identify user and policy needs for biodiversity monitoring and investigate the feasibility of setting up a center to coordinate monitoring activities across Europe (WP2). Together with stakeholders, EuropaBON will assess current monitoring efforts to identify gaps, data and workflow bottlenecks, and analyse cost-effectiveness of different schemes (WP3). This will be used to co-design improved monitoring schemes using novel technologies to become more representative temporally, spatially and taxonomically, delivering multiple benefits to users and society (WP4). Finally, EuropaBON will demonstrate in a set of showcases how workflows tailored to the Birds Directive, Habitats Directive, Water Framework Directive, Climate and Restoration Policy, and the Bioeconomy Strategy, can be implemented (WP5).

Keywords: co design,cost effectiveness,eu policy,essential biodiversity variables ebvs,essential ecosystem services variables eesvs,innovation,integration,stakeholder engagement