Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Demonstration Activities for the clinical validation of the prototype HILYSENS Lab-on-a-Chip (HILYSENS II)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Demonstration Activity
Action type: Collaborative project
Countries involved: Portugal,Spain,Sweden,Germany,Italy
Call:  (FP7-SME-2013, 2013)
Start date: 2014-04-01
End date: 2016-03-31
Duration (months): 24.0
Total project cost (EUR): 2180800.0
EU funding (EUR): 1264000.0
Participants: 5
Project status: CLOSED

HILYSENS II is based on the 2-year HILYSENS research and development project (started November 2010) funded by the ‘Research for the Benefit of SMEs’ program of the European Commission's Seventh Framework Programme (FP7). HILYSENS II proposes Demonstration Activities for the prototype HILYSENS Lab-on-a-Chip developed during the successful research and development project, which was designed as a specific and sensitive diagnostic system for acute, chronic and autoimmunity-associated Lyme disease. The developed prototype comprises a Bio-Chip, which enables specific and sensitive detection of the human serological responses to Borrelia species in patients with Lyme disease, and a portable Reader with user-friendly software, which together enable precise, accurate and reproducible testing of serum samples. Lyme disease is the most common tick-borne infection in Europe, with around 85,000 new cases per year. Current laboratory diagnostic methods for Borrelia species lack the necessary sensitivity and specificity to detect early cases, as well as late manifestations of the disease, such as chronic or autoimmune-related infections. As a consequence, many cases are undiagnosed or misdiagnosed. Late, delayed, or inadequate treatment can lead to serious problems, such as neuroborreliosis or arthritis, which can be disabling and difficult to treat. The HILYSENS II Demonstration Activity, which will involve SMEs from Portugal, Italy, and Spain, will include verification of the Bio-Chip and Reader components, followed by scaling-up of the production of the complete system. This will be followed by clinical validation at partner Borrelia testing centers in Germany and Sweden, and confirmatory testing in Portugal. By the end of the 24-month Demonstration Activity it is expected that the HILYSENS diagnostic system will be submitted for approval by regulatory authorities in Europe and the US and will enter these markets shortly thereafter.

Keywords: lyme disease,point of care diagnostics,microfluidics,clinical validation
Social Innovation: Driving Force of Social Change (SI-DRIVE)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Major trends in society and their implications
Action type: Collaborative project
Countries involved: Germany,Germany,Netherlands,United Kingdom,Austria,Spain,Bulgaria,Sweden,Lithuania,Romania,Türkiye,Egypt,China,South Africa,Chile,India,Canada,Croatia,Italy,Russian Federation,Colombia,Australia,Belgium
Call:  (FP7-SSH-2013-1, 2013)
Start date: 2014-01-01
End date: 2017-12-31
Duration (months): 48.0
Total project cost (EUR): 6221811.12
EU funding (EUR): 4872649.2
Participants: 29
Project status: CLOSED

SI-DRIVE extends knowledge about social innovation (SI) in three major directions: - Integrating theories and research methodologies to advance understanding of SI leading to a comprehensive new paradigm of innovation. - Undertaking European and global mapping of SI, thereby addressing different social, economic, cultural, historical and religious contexts in eight major world regions. - Ensuring relevance for policy makers and practitioners through in-depth analyses and case studies in seven policy fields, with cross European and world region comparisons, foresight and policy round tables. SI-DRIVE involves 15 partners from 12 EU Member States and 10 from other parts of the world. The approach adopted carefully interlinks the research process to both the complexity of the topic and the project workflow. First, cyclical iteration between theory development, methodological improvements, and policy recommendations. Second, two mapping exercises at European and global level. Initial mapping will capture basic information about 1000+ actual successful and failed social innovations from a wide variety of sources worldwide, leading to a typology of SI (testing the SI perspectives proposed by the BEPA report) and using this to examine the global SI distribution. Subsequent mapping will use the typology to focus on well documented SI, leading to the selection of 10 cases each for in-depth analysis in the seven SI-DRIVE Policy Fields. Third, these case studies will be further analysed, used in stakeholder dialogues in 7 policy field platforms and in analysis of cross-cutting dimensions (e.g. gender, diversity, ICT), carefully taking into account cross-sector relevance (private, public, civil sectors), and future impact. The outcomes of SI-DRIVE will address all objectives required by the Call, cover a broad range of research dimensions, impacting particularly in terms of changing society and empowerment, and contributing to the objectives of the Europe 2020 Strategy.

Keywords: social innovation (theory) societal transformation and sustainable systemic change (social change) empowerment and co-creation network (theory)
Learning from Massive, Incompletely annotated, and Structured Data (MAESTRA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Slovenia,North Macedonia,Italy,Croatia,Portugal
Call:  (FP7-ICT-2013-X, 2013)
Start date: 2014-02-01
End date: 2017-07-31
Duration (months): 42.0
Total project cost (EUR): 2293310.0
EU funding (EUR): 1748295.0
Participants: 5
Project status: CLOSED

The need for machine learning (ML) and data mining (DM) is ever growing due to the increased pervasiveness of data analysis tasks in almost every area of life, including business, science and technology. Not only is the pervasiveness of data analysis tasks increasing, but so is their complexity. We are increasingly often facing predictive modelling tasks involving one or several of the following complexity aspects: (a)structured data as input or output of the prediction process, (b)very large/massive datasets, with many examples and/or many input/output dimensions, where data may be streaming at high rates, (c)incompletely/partially labelled data, and (d)data placed in a spatio-temporal or network context. Each of these is a major challenge to current ML/DM approaches and is the central topic of active research in areas such as structured-output prediction, mining data streams, semi-supervised learning, and mining network data. The simultaneous presence of several of them is a much harder, currently insurmountable, challenge and severely limits the applicability of ML/DM approaches.The proposed project will develop predictive modelling methods capable of simultaneously addressing several (ultimately all) of the above complexity aspects. In the most complex case, the methods would be able to address massive sets of network data incompletely labelled with structured outputs. We will develop the foundations (basic concepts and notions) for and the methodology (design and implementation of algorithms) of such approaches. We will demonstrate the potential and utility of the methods on showcase problems from a diverse set of application areas (molecular biology, sensor networks, mutimedia, and social networks). Some of these applications, such as relating the composition of microbiota to human health and the design of social media aggregators, have the potential of transformational impact on important aspects of society, such as personalized medicine and social media.

Keywords: machine learning,data mining,structured output prediction,stream mining,mining network data,computational biology,multimedia mining,social networks,sensor networks
Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents (FINMAP)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Growth, employment and competitiveness in a knowledge society
Action type: Collaborative project
Countries involved: Germany,Spain,Italy,United Kingdom,Germany,Czechia,Austria
Call:  (FP7-SSH-2013-2, 2013)
Start date: 2014-01-01
End date: 2016-12-31
Duration (months): 36.0
Total project cost (EUR): 2780947.2
EU funding (EUR): 2151960.0
Participants: 7
Project status: CLOSED

The ability of financial markets to bear risk is central to economic welfare and stability. Growth and economic wellbeing is inhibited if financial markets are unable to transfer resources efficiently from the suppliers of liquidity to entrepreneurs. However, this proper functioning of financial markets has been distorted by levels of volatility considerably in excess of those implied by fundamentals. Markets have undergone dramatic crashes and they display speculative bubbles with market prices far removed from their equilibrium values. Economic research has hitherto been able to make only limited progress in resolving these important practical and policy relevant issues of the apparent instability in financial markets. This proposal seeks to develop elements of a new paradigm which (i) explicitly takes into account the existence of various forms of heterogeneous, boundedly rational behaviour in financial markets as well as in goods and labour markets, (ii) investigates the potential of such behaviour to generate bubbles, crashes and a system-wide break down of activity as collective outcomes of individual activities, (iii) investigates the linkages and repercussions between the complex area of financial activity and real economic activity which could be affected by e.g., the cancellation of credit lines and a breakdown of expected liquidity provision, (iv) studies how the transmission channel of monetary policy works in times of distress in the financial markets (particularly the interbank market) and how it could restore the credit flow from banks to companies operating in the real sector. We will adopt a methodologically pluralistic approach trying to augment existing macro models and construct new (agent-based) ones from bottom-up. The results will provide insights into the consequences of different modelling paradigms for the conduct of monetary policy, and in particular, appropriate reactions of monetary authorities to prevalent financial distress.

Keywords: financial crisis,speculative activity,systemic risk,credit constraint,contagio,monetary trasnmissio channeesl,portfolio analysis,agent-based models,dsge models,opinion formation,expectations
Intra-and Inter-Societal Sources of Instability in the Caucasus and EU Opportunities to Respond (ISSICEU)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Europe in the world
Action type: Collaborative project
Countries involved: Switzerland,Germany,Azerbaijan,Russian Federation,Türkiye,Georgia
Call:  (FP7-SSH-2013-2, 2013)
Start date: 2014-01-01
End date: 2016-12-31
Duration (months): 36.0
Total project cost (EUR): 2165173.85
EU funding (EUR): 1573957.9
Participants: 9
Project status: CLOSED

ISSICEU analyses sources of stability and instability in the Caucasus regarding political regimes, civic participation, economic interdependencies and neighbourhood influences. We evaluate the implications for military, political, economic and societal security. We deliver three relevant products for EU policy formulation: We analyse and map emerging conflicts of local, regional and international dimensions and highlight crucial actors and mechanisms. We elaborate on scenarios concerning potential future security developments. We give concise policy recommendations on opportunities for the EU to influence conflict solution and long-term stability in the Caucasus societies and the whole region. ISSICEU disseminates the findings as follows: policy briefs; expert workshops in relevant EU agencies and for stakeholders in EU countries and the Caucasus; a scenario-workshop at the final stage. ISSICEU explores intra-societal frictions and their regional impact in the political regimes focussing mainly on dynamics of communal governance; the interplay of religious and state actors and practices of civic participation. We analyse inter-societal sources of (in)stability regarding economic dependencies; political and societal relations between the Caucasus and neighbourhood states. ISSICEU makes comparative analyses across sub-regions and studies aspects of inter-societal relations. We consider the historical and contemporary ties among the societies. We study the Caucasus in its diversity and cohesiveness. Cases are Armenia, Azerbaijan, Georgia, Abkhazia, South Ossetia, Nagorno-Karabakh, Dagestan, Kabardino-Balkaria, Karachay-Cherkessia and Chechnya. In the neighbourhood we focus on Turkey and Iran. ISSICEU takes theory-informed, interdisciplinary and strongly inductive approaches, able to adequately identify phenomena as they manifest themselves in the region and to give innovative policy recommendations.

Keywords: instability in the caucasus,political regimes,hybrid regimes,politics of religion,civic participation,social cohesion,economic depedencies,neighbourhood,turkey,iran,russia
GErmanium MId-infrared plasmoNIcs for sensing (GEMINI)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Italy,United Kingdom,Germany
Call:  (FP7-ICT-2013-X, 2013)
Start date: 2014-02-01
End date: 2017-01-31
Duration (months): 36.0
Total project cost (EUR): 2267220.0
EU funding (EUR): 1737205.0
Participants: 4
Project status: CLOSED

We aim at laying the foundations of a novel paradigm in optical sensing by introducing molecule-specific strong light-matter interaction at mid-infrared wavelengths through the engineering of plasmonic effects in group-IV semiconductors.The key enabling technology is the novel germanium-on-silicon material platform: heavily-doped Ge films display plasma frequencies in the mid-infrared range. This allows for the complete substitution of metals with CMOS-compatible semiconductors in plasmonic infrared sensors, with enormous advantages in terms of fabrication quality and costs. Moreover, the mid-infrared range offers the unique opportunity of molecule specificity to target gases in the atmosphere, analytes in a solution or biomolecules in a diagnostic assay.We will develop sensing substrates containing infrared antennas and waveguides with antenna-enhanced detectors. Antennas and waveguides will be made of heavily-doped Ge to fully exploit plasmonic effects: high field concentration to increase sensitivity, resonant coupling to vibrational lines for chemical specificity, deeper integration to decrease costs. To achieve our goals we will rely on semiconductor growth by chemical vapor deposition, electromagnetic simulations, micro/nanofabrication of devices and advanced infrared spectroscopy. We aim at studying the fundamental properties of new materials and devices in order to assess their potential for sensing.Impacts of the proposed research go far beyond transforming optical sensing technology. Lab-on-chip disposable biosensors with integrated readout for medical diagnostics would radically cut healthcare costs. The possibility of actively tuning electromagnetic signals by electrical and/or optical control of the plasma frequency in semiconductors holds promises for dramatic opto-electronic integration. Finally, plasmonic semiconductor antennas will impact on photovoltaics, light harvesting and thermal imaging.

Keywords: plasmonics,group-iv photonics,germanium,silicon,infrared spectroscopy,infrared sensing,optical antennas
Trans-Atlantic Platform for the Social Sciences and Humanities (T-AP)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Europe in the world
Action type: Coordination and support actions
Countries involved: Netherlands,Canada,Brazil,Finland,France,France,Germany,Mexico,Portugal,United Kingdom
Call:  (FP7-SSH-2013-2, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 1683167.0
EU funding (EUR): 1495409.5
Participants: 11
Project status: CLOSED

Major research funders in Europe and the Americas have decided to join forces to build a Trans-Atlantic Platform (TA-P) in order to create and establish effective and structured multi-lateral engagement between research funding agencies in Europe and the Americas. This Trans-Atlantic-Platform is a global first, representing a collaborative effort of key Humanities and Social Science funders on a scale not previously entertained. This Platform will break down the barriers to further co-operation between funders and also lead to heightening understanding of the contribution of Social Sciences and Humanities disciplines in a global context. As a first major step, the proposal includes key partners from Europe, Canada, Mexico and Brazil. Efforts will be made to engage additional partners from Europe and particularly the Americas. The Platform will support agencies in stepping up international collaboration: though sharing best practices, networking and closer coordination of existing activities and the establishment of new relationships to facilitate multidisciplinary networking across the Social Sciences and Humanities in their widest remit both with respect to research and geographical areas. A comparative analysis of the partners involved in the Platform and a mapping of existing research networks will be issued to identify barriers and challenges to transnational collaboration and to formulate successful mechanisms to work together efficiently beyond the bilateral approach. In order to become more than a ‘network of networks’ and to bring genuine added value the Platform will be focusing on key topics. As an initial focus, the Platform has agreed upon a plan to pilot new principles of transnational collaboration through concrete joint programming focusing on the theme of Digital Scholarship. A shortlist of other ‘thematic’ areas will be scoped in more detail and will serve as recommendations for topics and issues within Horizon 2020 or national funding strategies.

Keywords: trans-atlantic,social sciences and humanities,programme managers,research collaboration,platform
EERA SEcretariat 2 (EERASE2)

Framework: FP7 — Cooperation
Programme: Energy
Destination: Energy
Action type: Coordination and support actions
Countries involved: Italy,France,Netherlands,Germany,Denmark,Finland
Call:  (FP7-Adhoc-2007-13, 2007)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 2399993.8
EU funding (EUR): 1199996.0
Participants: 7
Project status: CLOSED

The European Energy Research Alliance (EERA), founded by ten leading European Research organisations in 2008, aims to strengthen and expand Europe’s capabilities in sustainable energy research by connecting and joining European energy research activities. EERA’s coordinated and streamlined efforts shall enable all to optimise energy R&D actors’ efforts and to overcome fragmentation in order to accomplish a strategic and targeted development of new energy technologies. The primary focus of the EERA is, in particular, on the strategic and targeted development of next generations of energy technologies, starting from the results from fundamental research and leading to their maturation to the point where they can be embedded in industry driven research. Such activities are performed through the establishment and the implementation of the so-called Joint Programmes (JPs) of Research, which pools and integrate activities and resources, and maximise their complementarities and synergies. EERA’s efforts take place in the context of and contribute to the targets formulated in the Strategic Energy Technology (SET) Plan. Within this context main aim of the EERA Secretariat is to provide support to the development of the activities within EERA. The Secretariat is composed by six national research institutes which are part of the ten founding members of the EERA. All six institutes/institutions can be considered as key player in their own country and are recognised as being among the leading participants in European R&D programmes. In order to accomplish this mission the EERA Secretariat has developed a strategy aimed at tackling both internal and external aspects of EERA. In particular, the EERA Secretariat will provide support to all EERA bodies (i.e. Executive Committee and JP bodies), as well as it will liaise with SET-Plan bodies and initiatives, it will promote EERA achievements and results and it will strengthen the ties with industry and key external partners.

Keywords: european energy research alliance,set-plan
Evaluating the impact and outcomes of European SSH research (IMPACT-EV)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Horizontal actions
Action type: Collaborative project
Countries involved: Spain,Hungary,Switzerland,Belgium,Ireland,Netherlands,Italy,United Kingdom,United Kingdom
Call:  (FP7-SSH-2013-2, 2013)
Start date: 2014-01-01
End date: 2017-12-31
Duration (months): 48.0
Total project cost (EUR): 2989054.8
EU funding (EUR): 2271709.0
Participants: 9
Project status: CLOSED

The main objective of IMPACT-EV is to develop a permanent system of selection, monitoring, evaluation and comparison of the impact and outcomes from European SSH research, taking into account the latest quantitative and qualitative evaluation tools, identifying new ways of implementing them and exploring new standards and indicators that complement existing impact assessment processes. IMPACT-EV will contribute to developing a permanent system of selection, monitoring and evaluation of EU funded SSH research, therefore able to provide insights for the ex-ante, in-itinere and ex-post evaluation concerning assessment of the scientific, policy and social impact of SSH research project outcomes. Scientific impact involves quality of publications, training of young researchers, forms of interdisciplinarity and the constitution of European scientific excellence networks; in policy impact we will focus on EU directives or recommendations, national, regional and local policies; by social impact we understand results of the policies and citizens’ actions based on research evidence in relation to the five EU 2020 targets (i.e. increased employment among 20-64 years old, increased investment in R&D/I, increase in energy efficiency and renewables, reducing dropout rates and increasing third level education, and reducing poverty and social exclusion). In addition, the impacts of SSH research projects on the development of the European Research Area in SSH (e.g. ERA-Nets and of art. 185 initiatives in the domain of SSH, the mobility of researchers and the circulation of concepts across national and disciplinary borders) will be also analysed.

Keywords: social sciences and humanities,research evaluation,impact assessment,scientific/policy/social impact,european research area