Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Role of Social Identity on Preferences for Redistribution (SOCIENTITY_PR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: Cyprus,United States
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 256236.48
EU funding (EUR): 256236.48
Participants: 2
Project status: SIGNED

The overall goal of the action is to understand and uncover the role of social identity on the formation of preferences for redistribution. The fellowship will be carried out at the University of California, Los Angeles for 24 months and at the University of Cyprus for 12 months. The research objectives of the proposed research are twofold: (1) Investigate the effect of social identity on preferences for redistribution and (2) Investigate the existence of multiple regimes and parameter heterogeneity on preferences for redistribution. To achieve Objective 1 the fellow will employ social interaction models using innovative parametric and nonparametric techniques allowing for endogeneity in order to capture the high-dimensionality of social identity, aiming to identify the social factors that determine preferences for redistribution and a broader range of socioeconomic attitudes and beliefs. To reach Objective 2 the fellow will use novel econometric methodologies such as threshold regression models that account for social factors and account for the endogeneity of the threshold variable, aiming to identify a set of threshold variables that classify preferences for redistribution into various regimes based on individual, belief, and social heterogeneity. The fellowship will result in high quality research as well as targeted policy papers aimed at eliminating several negative social phenomena, impacting the academic community, the Cypriot and European policy makers and the general public. The fellowship will have a multidimensional impact on the fellow’s current and future academic career. It will advance his research knowledge and skills, improve his teaching abilities, build a network for future collaborations, novel ideas and high quality research, become more independent in his work, and gain critical project management skills.

Keywords: social interactions,preferences for redistribution,social identity,threshold regression
Exploiting vortices to suppress dispersion and reach new separation power boundaries (EVODIS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Belgium
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-03-01
End date: 2021-08-31
Duration (months): 66.0
Total project cost (EUR): 1460687.5
EU funding (EUR): 1460687.5
Participants: 1
Project status: CLOSED

The 21st century is expected to develop towards a society depending ever and ever more on (bio-)chemical measurements of fluids and matrices that are so complex they are well beyond the current analytical capabilities. Incremental improvements can no longer satisfy the current needs of e.g. the proteomics field, requiring the separation of tens of thousands of components. The pace of progress in these fields is therefore predominantly determined by that of analytical tools, whereby liquid chromatography is the most prominent technique to separate small molecules as well as macromolecules, based on differential interaction of each analyte with support structures giving it a unique migration velocity. To improve its performance, a faster transport between these structures needs to be generated. Unfortunately the commonly pursued strategy, relying on diffusion and reducing the structure size, has come to its limits due to practical limitations related to packing and fabrication of sub-micron support structures, pressure tolerance and viscous heating. A ground-breaking step to advance chromatographic performance to another level would be to accelerate mass transport in the lateral direction, beyond the rate of diffusion only. To meet this requirement, an array of microstructures and local electrodes can be defined to create lateral electroosmotic vortices in a pressure-driven column, aiming to accelerate the local mass transfer in an anisotropic fashion. The achievement of ordered arrays of vortices is intimately linked to this requirement, which is also of broader importance for mixing, anti-fouling of membrane and reactor surfaces, enhanced mass transfer in reactor channels, emulsification, etc. Understanding and implementing anisotropic vortex flows will therefore not only revolutionize analytical and preparative separation procedures, but will also be highly relevant in all flow systems that benefit from enhanced mass transfer.

Keywords: liquid chromatography,electrokinetics,microfluidics,lab on a chip,vortex,band broadening,electro osmotic flow,pillar array column,mixer
Fast determination of fatigue properties of materials beyond one billion cycles (FastMat)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: France
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-07-01
End date: 2023-06-30
Duration (months): 72.0
Total project cost (EUR): 1860962.5
EU funding (EUR): 1860962.5
Participants: 2
Project status: SIGNED

Many mechanical structures are submitted to repeated loadings and can break under stress lower than the ultimate tensile stress. This phenomenon is called the fatigue of materials and can be found in many industrial sectors, such as the transport industry, aeronautic industry and energy production. Fatigue design is thus crucial in engineering and it requires the precise characterization of material behavior under cyclic loadings to ensure the safety and reliability of structures throughout their life. An increase in the life span of a structure or a reduction in the number of maintenance phases leads to an increases in the number of cycles applied to this structure. It is presently common to find mechanical systems subjected to several billion cycles, in what is called the gigacycle fatigue domain. The characterization of the fatigue behavior of materials requires fatigue tests to be conducted until fracture for different stress amplitudes. One problem with this method is the test duration, which becomes excessive and beyond possible, particularly for a very high number of cycles. The goal of FastMat is to develop a new method that reduces considerably the duration of fatigue characterization. This method involves the use of only short interrupted tests coupled with a self-heating measurement to characterize the fatigue behavior for very low stress amplitudes. The scientific objective is to develop simultaneously experimental and numerical tools for the fast determination of fatigue behavior. The experimental approach will be developed to estimate simultaneously the dissipation and the stored energy, which directly reflect fatigue damage. For the numerical approach, discrete dislocation dynamics simulations will be developed to establish links between the fatigue damage associated with the evolution of dislocation structures, the stored energy and the dissipated energy.

Keywords: gigacycle fatigue
Streamlining Energy Savings Calculations (streamSAVE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Austria,Spain,Lithuania,Greece,Slovenia,Belgium,France,France,Czechia,Netherlands,United Kingdom,Portugal
Call: Supporting public authorities to implement the Energy Union (H2020-LC-SC3-EE-2019, 2019)
Start date: 2020-09-01
End date: 2023-08-31
Duration (months): 36.0
Total project cost (EUR): 1568561.25
EU funding (EUR): 1568561.25
Participants: 12
Project status: SIGNED

streamSAVE will support Member States in harmonizing accurate, bottom-up energy savings calculations of technical priority actions under Article 7, as well as Article 3 of Member States’ EED reporting. The actions will be targeted to those measures with high energy saving potential and considered as priority issues by Member States. To understand Member States’ priorities, the consortium performed an online survey in May 2019 (explained below). For each of the identified priority actions, streamSAVE is fostering transnational knowledge exchange between public authorities and other key-stakeholders along the following axes: - Axis 1: Knowledge facility where Member States are guided through the status of energy saving methodologies in the EU28 and how they can streamline and improve their bottom-up energy savings calculations. - Axis 2: Peer-to-peer dialogues among public authorities and other key-stakeholders to share experiences, reflect on and validate the streamlined calculation methodologies. - Axis 3: Capacity support facility assisting Member States in implementing streamlined energy savings calculations for specific requests to improve their obligations under Article 3 and Article 7 of the Energy Efficiency Directive An online streamSAVE platform will be set-up to facilitate the exchange of knowledge and experiences among Member States according to the three axes, which is illustrated in the next figure. The project would assist Member States to deliver rapidly scalable savings and hence maximize their chances of successfully meeting the EED energy savings targets. Methodologies developed in this way would be eligible for use on a voluntary basis, but would benefit from the pooling of European expertise and experience and thus support best practice while avoiding duplicative effort.

Keywords: calculations
Multi-view learning and quantitative genetics to identify the molecular basis of adaptation to chemical pollutants (MultiOmicsTox)

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: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-05-01
End date: 2023-05-09
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

My project proposes to understand what genetic and functional genomic variation contribute to the process of adaptation and to the evolutionary fate of natural populations when confronted with modern threats, such as multi-generational exposure to a chemical pollutant in the environment. The current environmental health policies and regulatory decisions are based on ad hoc methods and do not reflect true population susceptibility. My solution is to apply multi-view machine learning, combined with quantitative genetics, to analyse a huge volume of multi-omics data to advance Precision Toxicology that brings greater certainty in the causal links between chemicals and their adverse effects. My project focuses on the multi-generational effect of pesticides in shaping genetic variation and the molecular evolutionary trajectory of Daphnia obtained from resurrected subpopulations from within dated lake sediments spanning 120 years. The adaptive phenotypes at different doses of pesticides were scored in common garden experiments and samples were taken to produce associated multi-omics data (genomes, transcriptomes, regulomes and metabolomes). I propose utilizing this data to meet the following two objectives:(1) To use quantitative genetics for the determination of genetic susceptibility of the subpopulation to pesticide exposure; (2) To identify the mechanisms and forms of evolution that result in adaptation, by integrating multi-omics data using multi-view machine learning. Expected outcomes of this work will (a) fill a gap in mechanistic understanding of the adaptive responses of natural populations, (b) identify segregating genetic variation within genomes that regulates the pace and magnitude of an adaptive response to chemical pollutants, and (c) discover putative biomarkers that estimate exposure-related genetic susceptibility of populations to the multi-generational harmful effects of chemicals for setting site-specific controls on chemical pollutants.

Keywords: multi view learning,precision toxicology,resurrection ecology
Development of full lignin based organic redox flow battery suitable to work in warm environments and heavy multicycle uses. (BALIHT)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Spain,Spain,Spain,Germany,Spain,Belgium,Croatia,Belgium,Netherlands
Call: Advanced Redox Flow Batteries for stationary energy storage (H2020-LC-BAT-2019, 2019)
Start date: 2019-12-01
End date: 2023-09-30
Duration (months): 46.0
Total project cost (EUR): 4098552.5
EU funding (EUR): 4098552.5
Participants: 13
Project status: SIGNED

Redox flow batteries (RFBs) are designed to work up temperature of 40ºC, however, discharging the battery generates heat. A cooling system is required to avoid electrolyte degradation or battery malfunction. Cooling requires energy and reduces the battery global efficiency. Moreover, higher temperatures have advantages: low electrolyte viscosity (less pump energy), better electrolyte diffusion in electrode & increase battery power due to increase electron mobility. BALIHT project aims to develop a new organic redox flow battery suitable to work up to temperatures of 80ºC, with a self-life similar than current organic ones, but with an energy efficiency 20% higher than current RFB since cooling system is not required, less pump energy & high power. Redox-active organic molecules with promising prospect in the application of RFBs, benefited from their low cost, vast abundance, and high tunability of both potential and solubility. These organic molecules are more soluble in water, which allows more concentrated electrolyte and increased battery capacity.CMBlu has developed an organic redox flow battery technology that use electrolytes from lignin, thin non-fluorinated membrane, carbon-based electrodes and plastic frames. Lignin is a renewable resource and the largest natural source of aromatic compounds from which efficient electrolytes can be produced. BALITH concept of organic RFB makes this technology suitable for many applications where the requirements for batteries are more challenging like: - Smoothing of non-dispatchable renewable power plants (like solar or wind) - Support for Ancillary services - High performance electric car recharge points - Improvement of grid flexibility and stability (at both transmission and distribution level). - Avoid cooling needs in RFB placed in warm countries (between 40º Latitude North & 40º Latitude South).

Keywords: redox flow batteries,density energy,flexible container,lignin electrolyte,thin membrane,flexible carbon based electrodes,warm environment,heavy multicycle uses,solar and wind integration
European Researchers' Night Cymru - Making a Difference in Wales (ADIFF)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: United Kingdom
Call: European Researchers' Night (H2020-MSCA-NIGHT-2020, 2020)
Start date: 2020-05-01
End date: 2020-12-31
Duration (months): 8.0
Total project cost (EUR): 99810.0
EU funding (EUR): 99810.0
Participants: 2
Project status: CLOSED

The 'Diff is how Cardiff is affectionately known. ADIFF is a European Researchers’ Night event, celebrating how EU-funded researchers are ‘making a difference’ to Welsh communities and beyond. This will be the first ever European Researchers’ Night celebration in Wales. The capital, Cardiff, is one of the fastest growing cities in the UK. Many people from the surrounding area travel to Cardiff for work, shopping and entertainment. The Cardiff Capital Region (CCR) encompasses the whole of South East Wales, home to a range of diverse communities including seven of the top ten most deprived areas in Wales. Over half of 16-24yr olds in Wales live here. Over 90% of 12/13 yr olds in the UK aspire to ‘help others’ in their working lives. Yet only 15% want to be a scientist. By focusing on how researchers are 'making a difference' to our lives and city we will engage a diverse range of young people and their influencers. Cardiff University is a large research-intensive institution, ranked 2nd in the UK for the impact of its work. Researchers will develop engaging hands-on activities supported by, award-winning specialists, Science Made Simple. These activities will be trialed at summer festivals, online where necessary, reaching some of the 20 million annual visitors to Cardiff and generating media coverage in the run-up to the main event. Researchers will also interact with schools online and/or in person to raise awareness and encourage young people into research careers The team will work with researchers and their community partners to create content to be delivered at the European Researchers’ Night celebrations in 2020. Unexpected encounters with researchers and pop-up events will take place in public spaces across the city centre and/or online over the weekend – bringing the researchers and their work to the public and showing how they are making a difference to the lives of people in Wales.

Keywords: outreach,public engagement,researcher engagement,stem
Full scale demonstration of energy positive sewage treatment plant concepts towards market penetration (POWERSTEP)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Germany,Germany,Sweden,Switzerland,Belgium,Netherlands,Denmark,Denmark,Denmark,Denmark
Call: First application and market replication (H2020-WATER-2014-two-stage, 2014)
Start date: 2015-07-01
End date: 2018-06-30
Duration (months): 36.0
Total project cost (EUR): 5173854.75
EU funding (EUR): 3997125.99
Participants: 16
Project status: CLOSED

The municipal wastewater in Europe contains a potential chemical energy of 87,500 GWh per year in its organic fraction, which is equivalent to the output of 12 large power stations. Due to the currently applied technologies and related energy loss at each process step, wastewater treatment in Europe today consumes instead the equivalent of more than 2 power stations. Many operators are thus targeting incremental energy efficiency towards energy neutrality, but recent studies have shown that with novel process schemes using existing technologies, sewage treatment plants could actually become a new source of renewable energy, without compromising the treatment performance. The project POWERSTEP aims at demonstrating such innovative concepts in first full scale references for each essential process step in order to design energy positive wastewater treatment plants with currently available technologies. The following processes will be demonstrated in 6 full-scale case studies located in 4 European countries: enhanced carbon extraction (pre-filtration), innovative nitrogen removal processes (advanced control, main-stream deammonification, duckweed reactor), power-to-gas (biogas upgrade) with smart grid approach, heat-to-power concepts (thermoelectric recovery in CHP unit, steam rankine cycle, heat storage concepts), and innovative process water treatment (nitritation, membrane ammonia stripping). These individual technology assessments will merge into integrative activities such as treatment scheme modelling and design, global energy and heat management, carbon footprinting, integrated design options, as well as extensive dissemination activities. POWERSTEP will demonstrate the novel concepts and design treatment schemes of wastewater treatment plants that will be net energy producers, paving the way towards large implementation of such approaches and quick market penetration and supporting the business plans of participating technology providers.

Keywords: energy positive and carbon neutral wastewater treatment,integrated and innovative concepts,full scale
Advanced Materials and Advanced Manufacturing Technologies (A2M2TECH)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Doctoral programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Türkiye
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2020, 2020)
Start date: 2021-06-01
End date: 2026-05-31
Duration (months): 60.0
Total project cost (EUR): 4773120.0
EU funding (EUR): 2386560.0
Participants: 1
Project status: SIGNED

A2M2TECH (Doctoral Programme in Advanced Materials&Advanced Manufacturing Technologies) is an excellence doctoral training programme presented by Gazi University (GU) in Turkey as beneficiary and main hosting organisation through the Additive Manufacturing Technology Application and Research Center (EKTAM), the National Center of Excellence for AM. The programme is completed with the participation of other 3 entities as Partner Organisations recruiting fellows: Middle East Technical University, İstanbul Technical University and İzmir Institute of Technology. During the 60 months of duration of A2M2TECH, one single Open Call will be launched for the recruitment of 22 early-stage researchers (ESRs). Excellence in research&education Will be achieved through a complete research&training programme combining cutting-edge multidisciplinary topics in the AM field with a wide range of research&non-research oriented skills, thus impacting on the future career perspectives of the fellows and aligning the programme objectives and results with EU strategies and objectives regarding human resources, research&innovation. A2M2TECH will establish an open, transparent and merit-based procedure for the recruitment with the aim of providing the next-generation of skilled scientists in the bourgeoning fields of Advanced Manufacturing, Advanced Materials&Additive Manufacturing. All the participating organisations in the programme have an outstanding track-record in terms of recruitment and training of doctoral researchers and they all support the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers, thus ensuring the best possible conditions to enhance the potential and future career perspectives for the recruited researchers. In addition, recruited fellows will be provided with the opportunity to carry out secondments in several national&international host institutions with a particular focus on the intersectoral University-Industry collaboration.

Keywords: advanced materials,additive manufacturing,advanced manufacturing technologies,process design,process simulation