Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
EEN Innovation services for Walloon SMEs 2017-2018 (KAMWAL 2.2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Belgium,Belgium,Belgium,Belgium,Belgium,Belgium,Belgium,Belgium
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 111036.25
EU funding (EUR): 111036.25
Participants: 12
Project status: CLOSED

The Kamwal 2.2 project aims to propose innovation support services to Walloon SMEs through the Enterprise Europe Network during the years 2017 and 2018. The goal of these service is to help SMEs having already a clear growth and internationalization potential to grow more rapidly. The proposed innovation services are twofold. A service of dedicated coaching (KAM EEN)will be proposed to the beneficiaries of the SME Instrument scheme. This service starts by an assessment of the SME lacks and coaching needs by a specialized consultant from Entreprise Europe Network Wallonia. It continues by the identification of a external coach well skilled with respect to the needs of the company. The coach will therefore work with the company with the support of the EEN team and services. It is expected that the project will have the opportunity to serve 6 Walloon SME Instrument beneficiaries. SMEs not involved at that time in the SME instrument but having also a clear potential could benefit from the EIMC EEN service which aims to help them to improve the management of innovation processes. This will be achieved through a specific tool, CCI MAP, compliant with the CEN/TS 16555-1. It is expected that a set of a least 24 promising Walloon SMEs benefit from this specialized service. Both services will be operated by a team of experienced consultants coming from 4 partners from Entreprise Europe Network Wallonia.

Keywords: innovation,internationalisation,sme instrument,innovation management,entreprise europe network wallonia
Women's Economic Rights and Cultural Difference: Defining Development for the Middle East (WoRD-DoME)

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: Social Sciences and Humanities
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-01
End date: 2018-09-30
Duration (months): 15.0
Total project cost (EUR): 117137.25
EU funding (EUR): 117137.25
Participants: 1
Project status: CLOSED

This research focuses on tensions between discourses of multiculturalism and women’s economic rights and the processes in which they arise in development institutions and programs. While the multidisciplinary literature on development unpacks public declarations by development institutions and studies the local implementation of development programs, it evades two crucial questions: conditions of agency formation and inequality in institutional processes, and the role assumptions about cultural difference play in development paradigms. This research fills these gaps by exploring how issues of women’s economic rights and notions of cultural difference are negotiated inside development institutions and reflected in their programs. The research deploys two data collection strategies, longitudinal content and discourse analysis of relevant development reports and interviews with gender experts with work experience on the Middle East. It will be conducted at the Gender Centre of the Graduate Institute of International and Development Studies, under the supervision of Professor Elisabeth Prügl, a best fit for the project given the rich array of gender and development scholarship at the Centre, its established networks with the multilateral actors in Geneva and beyond, and the two scholars’ mutual interests in the area of gender expertise and gender equality. It is an interdisciplinary project, informed by relevant studies in the fields of anthropology, sociology and political science, and has significant potential to contribute development studies and feminist political economy. It builds on the researcher’s experience in the field of gender and development, the Middle East and transnational networks. It expands her research to international gender experts in development; grows her expertise on the Middle East; and enlarges her fieldwork scope to Europe. The training, networking and publication prospects put her on a firm path toward professorship.

Keywords: women s rights,cultural difference,development,international institutions of governance,gender experts
Forced displacement and refugee-host community solidarity (FOCUS)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Ireland,Croatia,Sweden,Jordan,Belgium,France,United Kingdom,Denmark
Call: Addressing the challenge of forced displacement (H2020-SC6-MIGRATION-2018, 2018)
Start date: 2019-01-01
End date: 2022-06-30
Duration (months): 42.0
Total project cost (EUR): 2999859.25
EU funding (EUR): 2999859.0
Participants: 14
Project status: CLOSED

In 2015 and 2016, the EU experienced an unparalleled influx refugees and migrants. This situation poses multiple challenges for social- and health services and labour markets in host communities as well as for the lives of the refugees. In response to this situation, the vision of FOCUS is to increase understanding of, and provide effective and evidence-based solutions for, the challenges of forced migration within host communities and thereby contribute to increased tolerance, peaceful coexistence, and reduced radicalization across Europe and in the Middle East. Based on a comprehensive mapping and trans-disciplinary, multi-site field research conducted in Jordan, Croatia, Germany and Sweden, FOCUS explores the socio-psychological dimensions of refugee- and host-community relations and analyses the socio-economic integration of refugees and the consequences of this in host societies. The research sites have been selected to ensure that insights and lessons are derived from medium- and long-term experiences with forced displacement and local integration. This knowledge is used to transform and strengthen existing promising solutions for social- and labour market integration. The integration solutions will be pilot tested in at least five European countries by governmental and non-governmental end-users. The solutions are finally brought together in the Refugee and Host Community Toolbox, which will support policy makers, municipal actors, civil society organisations and other stakeholders in responding to the needs of both refugees and host communities and thereby act as agents of change in this field. In addition, FOCUS undertakes an ambitious programme of engagement with policy makers, end-users, host communities, refugees and other stakeholders. This will ensure that FOCUS research and solutions are acceptable and useful for policy makers, while meeting the needs of end-user organisations and ultimately refugees and host communities.

Keywords: refugees,integration
Supramolecular Catalysis for Chemofixation and Electroreduction of CO2 (SupraFixCO2)

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: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-15
End date: 2021-04-14
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Global warming has become one of the global concerns which is threatening all life on our planet. As the greenhouse gas, carbon dioxide (CO2) has been extensively released by human activities. To reduce CO2 emission, one promising strategy is to reuse CO2 for producing value-added chemicals or fuels. For this purpose, many efforts have been devoted in constructing effective catalysts for CO2 utilization. However, many problems still limit their application, such as weak CO2 binding to the catalytic centre, low efficiency and selectivity, harsh catalytic conditions, etc. To address these challenges, we decide to think out of box. By marrying supramolecular chemistry with CO2 utilization, we aim to develop new systems of supramolecular catalysis for chemofixation and electroreduction of CO2. To this end, we plan to innovatively employ cucurbit[n]uril, a kind of water-soluble macrocyclic host, to encapsulate a catalyst or a reactant within its hydrophobic nanocavity. After first guest incorporation, CO2 as a non-polar gas molecule may strongly tend to enter the residual hydrophobic space within CB[n]'s cavity. Through such enhanced CO2 binding, supramolecular catalysis for chemofixating CO2 into cyclic carbonates and electroreducing CO2 to CO fuel could be significantly promoted. High efficiency and selectivity, and mild catalytic conditions in aqueous media could be also achieved. Furthermore, the catalytic process and mechanism will be in situ studied by a nanoparticle-on-mirror technique in a subnanometer level. In this way, supramolecular catalysis for CO2 utilization could be firstly developed. This proposed project is inherently an interdisciplinary research, therefore we will work closely with colleagues from our department and Department of Physics. We do believe that this research will attract lots of interests and attentions from scientists in the frontiers of supramolecular chemistry, CO2 utilization, catalytic science, electrochemistry and nanophotonics.

Keywords: supramolecular catalysis,nanophotonics
Data-Efficient Scalable Reinforcement Learning for Practical Robotic Environments (DESlRE)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-04-01
End date: 2020-03-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

The robotics industry is in the process of greater adoption of machine learning. Recent reinforcement learning (RL) and AI breakthroughs, such as AlphaGo, rely on collecting large amounts of data. Such methods are unsuitable for real robots which often can only afford a few trials. Moreover, some states are unsafe to explore, e.g. running over a cliff. Conversely, works such as PILCO combine Bayesian models with model-based RL to improve data efficiency. Those frameworks typically thrive in small data regimes. The goal of this project is to develop RL algorithms that scale to high dimensions while learning with less data. The main pillars of our methodology are RL, recurrent networks, Bayesian methods, embodied exploration, and optimization. To tackle the data efficiency, we adopt model-based RL approaches. We plan to combine representation learning and dynamics in a single model, leading to high predictive power and low-dimensional internal state spaces. Notably, we use methods that can learn disentangled representations, e.g. infoGAN. In practical robots, effective exploration is a real problem in current approaches. We want to leverage recent works in embodied exploration by the host group which allows various real-world robots to explore their capabilities in minutes of interaction. I received my Ph.D. for work in optimization with Dr. William Hager. I also conducted postdoctoral research in machine learning. The Autonomous Learning group is led by Dr. Georg Martius, who has previously studied artificial intrinsic motivation, the self-organized exploration of sensorimotor coordination via information theory, and internal model learning. He also developed the robotics environment LPZRobots. I will gain extensive experience in practical robotics, embodied exploration, and information theory through the collaboration and mature as an advanced AI researcher. Both Dr. Martius and I have a track record of publishing code online. We will continue this effort.

Keywords: reinforcement learning,robotics,practical robots,representation learning,deep learning,dynamic programming,artificial intelligence,machine learning,data efficiency,autonomous learning
Standardisation of situational Awareness sYstems to Strengthen Operations in civil protection (SAYSO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Increase Europe's resilience to crises and disasters
Action type: Coordination and support actions
Countries involved: Germany,Germany,Germany,Austria,Sweden,Greece,Belgium,France,United Kingdom,Luxembourg
Call: Situational awareness systems to support civil protection preparation and operational decision making (H2020-SEC-2016-2017-1, 2016)
Start date: 2017-05-01
End date: 2019-04-30
Duration (months): 24.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 12
Project status: CLOSED

Handling the crises faced by modern societies often requires the coordination of multiple types of stakeholders from different countries. One of the key requirements to manage crisis is to have access to situational awareness (SA). However, current SA solutions (SAS) are not adapted to operate in cross-border contexts and present several shortcomings related to interoperability, data management/processing, decision making, standardisation and procurement. This hinders a reliable sharing of SA information. SAYSO will address these shortcomings and pave the way for the development of innovative European cost-effective Multi-Stakeholders SA Systems (MSSAS) which will provide practitioners with user-friendly solutions, providing a clear picture of the situation at hand with relevant advices. Addressing both the technical and human aspects of technology implementation, SAYSO will define the specifications of future MSSAS on the basis of practitioners’ requirements and specify the corresponding Reference Architecture to support the integration of various data into a common operational picture. This architecture will support interoperability and allow the integration of legacy and future SAS. It will also be customisable to practitioners’ needs and safeguard adequate privacy protection and data security levels. SAYSO will pursue the agreement and sustainable involvement of a community of practitioners, relevant suppliers and potential procurers, institutions and policy makers to obtain widely accepted results and prepare future procurement actions at EU level. SAYSO will develop a toolkit for MSSAS procurers, which will include tender documentation for SAYSO-compliant MSSAS and a SAYSO Procurers Handbook (with tools to evaluate MSSAS tenders and assess their compliance with the SAYSO specifications and existing standards). A registry of potential suppliers and procurers of MSSAS will be set up. Finally, SAYSO will deliver roadmaps for future MSSAS and standardisation.

Keywords: situational awareness,civil protection,operational decision making,specifications,reference architecture,practitioners requirements,interoperability,human factors,procurement,standards
Dancing with giants: dynamics of dwarf satellite galaxies (DancingGalaxies)

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: Physics
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

Giant galaxies like our own are surrounded by a large number of dwarf galaxy satellites that perform a complex orbital dance. Theoretical models predict that this dance should be composed of randomly oriented elliptical orbits, but Milky Way (MW) observations reveal the opposite: most satellites orbit in the same plane and have orbits that are more circular than expected. This discrepancy is a major problem that lacks an answer. It could signal a fundamental breakdown of the current cosmological model or, alternatively, that the MW is very atypical, a 1 in 1000 system. Studies of satellite orbits cannot yet be carried out for other galaxies, so the only option is to examine the MW in more detail. My proposed research will deliver ground-breaking new insights into the anomalous dynamics of satellites, and, through this, uncover the formation history of our galaxy. First, I will investigate the phenomena that give rise to the atypical orbits of the MW satellites. Two key drivers are the accretion of satellites along cosmic web filaments and the geometry of the dark matter halo of the central galaxy. Secondly, using state-of-the-art galaxy formation models, I will perform detailed simulations to predict the distribution of faint satellites and the stellar halo of our galaxy. These contain vital clues to the root cause of the anomalous satellite orbits problem. I will compare the model predictions to MW observations to make an unprecedented test of the current cosmological paradigm. The same simulations are essential to understand how representative are the MW satellites and stellar halo, and thus the extent to which they can be used to test the nature of dark matter and galaxy formation models. The proposed research combines my two areas of expertise, large scale structure and satellite galaxies, with the world-leading galaxy formation models and simulations of Prof. Schaye's group, and, together, they provide the ideal setting to make this project a major success.

Keywords: the spatial and kinematic distribution of satellite galaxies,local group,milky way,zoom in cosmological simulations,galactic cosmological tests
Measuring experienced disease burden (ExpBoD): estimating the socio-economic, psychological, healthcare and welfare impacts of diseases (ExpBoD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-12-15
End date: 2024-12-14
Duration (months): 24.0
Total project cost (EUR): 219312.0
EU funding (EUR): 219312.0
Participants: 1
Project status: SIGNED

The aim of this project, Measuring Experienced Disease Burden (ExpBoD), is to deliver a proof of concept to systematically measure disease impact across multiple non-health dimensions (e.g., economic, psychological impacts) and diseases using Denmark as a testing ground. As seen during the coronavirus pandemic, governments worldwide are expected to manage not only the disease burden of COVID-19 but its impact beyond health. Yet, existing metrics on measuring population health, such as deaths, prevalence, disability- and quality-adjusted life-years (DALY and QALY) do not capture aspects beyond health, and current methods are not equipped to systematically estimate multiple non-health disease impacts across diseases. I will systematically estimate the disease impact across five dimensions: economic, social, psychological, physical, and healthcare and welfare impacts. ExpBoD will (1) assess statistical methods to identify the most appropriate methodology, (2) systematically estimate disease impact across dimensions and diseases, conduct sub-group analyses, and (3) create a composite index for experienced burden. By providing a comparable metric of broader aspects of disease burden, this research will advance the literature in health metrics and improve the evidence base for priority setting in the real world. The unique opportunity that the fellowship provides will allow me to build this long-term and policy-relevant research agenda and propel me into a successful future academic career.
SENSors and Intelligence in BuLt Environment (SENSIBLE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Australia,Spain,Serbia,Slovakia,China,Serbia,Canada,United Kingdom,Japan,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-01-01
End date: 2022-06-30
Duration (months): 66.0
Total project cost (EUR): 859500.0
EU funding (EUR): 832500.0
Participants: 13
Project status: CLOSED

The goal of this project is to develop novel information sensing research and innovation approaches for acquiring, communicating and processing a large volume of heterogeneous datasets in the context of smart buildings, by building an international, inter-disciplinary and inter-sectoral collaboration network through research and innovation staff exchanges and seamless exchange of ideas, expertise, data, testbeds, and know-how. The need to sense and process ever increasing amount of data requires novel engineering that goes far beyond conventional centralised methods, where signal acquisition, communications and data processing are performed centrally and independently. Building on integrating signal acquisition, communications and information extraction into an overarching smart sensing approach, the project will provide a holistic decision support framework for non-residential buildings of the future. The key challenges of providing intelligence to the building lie in ubiquitous sensing, inside and outside the building, and connecting the sensing technology to people and outside world via meaningful decision support. Though significant research has been dedicated to developing novel sensing and instrumentation technologies, further research and innovation advances are needed to integrate physical sensing to data processing via distributed estimation and fusion approaches, giving actionable meaning to the suite of collected data. In that context, it is necessary not only to continuously monitor the environment, equipment, systems and processes, but also to sense occupants’ behaviour inside and outside the building and provide timely response and feedback. The proposal will tackle the above challenges through several routes: (1) new information-driven sensor designs that connect technology with people and information; (2) new Internet-of-Everything based communications protocols for seamless distributed detection and estimation; (iii) intelligent data processing.

Keywords: internet of things