Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A REVOLUTIONARY SAFE, QUIET, LONG RANGE, PERSONAL VERTICAL TAKEOFF AND LANDING (VTOL) DEVICE (Audax Aero)

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

World urban population is expected to grow by 2.5B in 2050, causing severe delays to commuter, freight and first responder mobility. This costs Europe €100B yearly and is anticipated to cause a productivity loss of €238.7 billion annually for UK, France, Germany and the USA in 2030. Various proactive actions have been proposed in recent years, with exciting developments emerging in air urban mobility, focused on personal vertical lift off, VTOL, aircraft. Many solutions developed so far are mostly electric powered limiting flight endurance to a maximum of 30 minutes due to immature battery technology, unreliable safety, bulky design (rotor configuration >4m) and excessive noise. As VB Hi-Tech Ventures, our start-up company specialising in the design of personal flying devices, we developed Audax Aero, a VTOL aircraft designed to improve flight distance to a range of 300km/2 hours without refuelling, while improving pilot safety thanks to a hybrid propulsion system that also reduce noise levels. Our target users are first responders, cargo delivery companies, commuters and recreational industry who need quick transportation and improved mobility to inaccessible areas. We are targeting the UAVs for first responder market projected to reach €106B in 2019, UAV market which is expected to grow by €1.69B from 2016 to 2023 and VTOL market which is expected to reach €4.3B in 2026. We have invested €150,000 for the development of Audax Aero and we will validate the functionality and specifications by conducting computer simulations and testing a prototype to be built in Phase 1 as well as search for development and component supply partners. In addition to developing an Intellectual Property strategy and dissemination plan, we will also outline the activities and timelines for the Phase 2 project towards a 2022 market launch. We anticipate a profit and revenue of €9,93M and €19,26M for the 5 year exploitation period respectively, with 160 employment opportunities created.

Keywords: vertical lift off,urban air mobility,safety,first responders,leisure
Thermoelectric oxide composites: design through controlled interactions. (TEOsINTE)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Portugal
Call: Widening Fellowships (H2020-WF-02-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 147815.04
EU funding (EUR): 147815.04
Participants: 1
Project status: CLOSED

Thermoelectric (TE) materials can convert temperature differences directly into electricity and are nowadays considered as one of the most promising means to produce “green” electricity from the huge amount of various available waste heat sources. TE conversion is intrinsically simple, scalable and reliable, employs no moving parts and provides silent operation and self-sufficiency. Particular attention is given to transition metal oxides (TMOs), due to their low toxicity, natural abundance, thermal stability and well-established preparation routs, in contrast with traditional Pb-, Sb-, Bi- and Te-containing TE materials. Still, one of the TMOs major drawbacks are their low TE performances. This project intends to design, synthesize and test novel ceramic composite materials with improved TE performances, based on some of the best-performing TMOs to date, Ca3Co4O9, ZnO and CaMnO3 (matrices) and a set of transition metal and Ce oxides (dispersers), suited for practical high-temperature power generation applications. The originality of this project is simple and straightforward: Controlling the atomic interactions between the various oxide components will improve the charge carrier mobility and create additional interfaces at the grain boundaries, capable of scattering phonons more efficiently. The R&D work is based on the combined analysis of TE, morphological and structural properties of the matrix materials and prepared composites, with the final purpose of developing completely new materials having better TE properties than those of the inicial components, and testing them in and designing them for practical high-temperature power generation applications, in real working conditions. This project also focuses to establish the experienced researcher as a successful independent scientist, having more, diversified competences in and deeper understanding of functional electroceramics, capable also to establish fruitful collaborations and to attract funding.

Keywords: thermoelectricity,waste heat recovery,green energy,novel oxide composites,solid state materials,controlled interactions,power generation applications
Re-thinking Efficiency in Deep Learning under Accelerators and commodity and processors (REDIAL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: United Kingdom,United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 1495036.0
EU funding (EUR): 1495036.0
Participants: 2
Project status: SIGNED

In just a few short years, breakthroughs from the field of deep learning have transformed how computers perform a wide-variety of tasks such as recognizing a face, driving a car or translating a language. Not only has deep learning become an everyday tool, it is also the most promising direction for tackling a number of still open problems in machine learning and artificial intelligence. However, routine deep learning activities (such as training a model) exert severe resource demands (e.g., memory, compute, energy) that are currently slowing the advancement of the field, and preventing full global participation in this research to only the largest of companies. The goal of REDIAL is to solve core technical challenges that span the areas of machine learning and system research which collectively can enable a radical jump in the efficiency of deep learning. It aims to address both the challenge of high training costs and time, as well as the barrier to deploying models on constrained devices (like wearables, sensors) that currently require new efficiency techniques to be invented each time a deep learning innovation occurs. To accomplish this REDIAL takes two complementary approaches. First, it seeks to build a theoretical understanding of current approaches to deep learning efficiency, a desperately needed step given current over reliance on empirical observations. Second, it aims to develop new architectures and methods for training and inference that tackle core efficiency bottlenecks, such as: dependencies preventing parallelization and excessive on-chip data movement; while also opening new opportunities including the greater adoption of analog processing within accelerators. REDIAL aims to change the way the world trains its models, and deploys them to constrained devices, by producing a series of new deep architectures and algorithms with properties that promote high efficiency that can serve as a foundation for new machine learning innovation.
Designing waves for the people (DWAVE)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Spain
Call: Supporting SMEs efforts for the development - deployment and market replication of innovative solutions for blue growth (H2020-SMEINST-1-2014, 2014)
Start date: 2015-06-01
End date: 2015-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The objective of this project is the creation of Wavegardens all around the world. A Wavegarden is a place where surfers can practice surf: a lagoon in which a mechatronic device creates waves that could fulfil surfers expectations. According to the report “Blue Growth Scenarios and drivers for Sustainable Growth from the Oceans, Seas and Coasts, Third Interim Report, March 2012“ an important niche in coastline tourism is represented by nautical sports. For example, 10 million people in the world travel each year to wind and wave surfing destinations and the trend is growing, and 500 thousand more people every year practice this sport. Surfing is ranked in the top 20 most popular and fastest growing sports in all countries, cultures and demographics. The surfing industry, with an economic impact in the range of US$100 billion, is estimated to continue its growth in the years to come. The ‘stoke’, or feeling, of surfing, which has been limited to the lucky few who live near quality surfing waves, is now accessible to everyone thanks to Wavegarden.

Keywords: surfing,blue growth,double wave,wavegarden
High-throughput drug screening for identifying personalized cancer treatments tailored to the particular mutations of the patient’s tumor (Cancer-Drug-Screen)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Israel
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2015-04-01
End date: 2016-09-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Cancer is caused by a series of genetic alterations that confer an advantage to cancer cells, leading to uncontrolled growth. However, each tumor exhibits distinct molecular changes, making each patient’s malignancy unique. Hence, in the personalized medicine era, cancer treatment aims to tailor the most suitable treatment for each patient according to his/her genetic background, tumor acquired mutations and clinical indications. The p53 tumor suppressor is the most frequently mutated gene in human cancers, with thousands of different tumor-associated mutations reported. Many such cancer-associated mutations in p53 lead to loss of its tumor suppressive activity and in some cases, to gain of new oncogenic functions, resulting in tumor recurrence and enhanced patient mortality. Importantly, tumors with different p53 mutations exhibit specific cancerous phenotypes and do not respond to particular treatments. Based on our ERC-funded breakthrough technology, where we made a library of ~10,000 distinct p53 variants, and based on our strong IPR offering and competitive advantages, here we propose to develop three products for determining which treatment (or combination) would be most effective for treating a patient’s tumor according to his specific p53 sequence, reducing excruciating side effects and improving treatment outcomes: 1) Offering patients/physicians a list of treatments ranked by their efficacy in treating cells of similar origin and p53 mutations to those present in the patient’s tumor, allowing them to make more informed treatment decisions. 2) Offering companies in the personalized cancer treatment field access to our existing proprietary data regarding treatment efficacies towards p53 genetic variants. 3) A service to drug developing companies that applies our technology for testing the efficacy of a client-supplied drug of interest over all ~10,000 p53 mutations in our library in a cell-line of choice.

Keywords: cancer,personalized medicine,personalized cancer treatment,high throughput
DEFect NETwork materials science and engineering (DEFNET)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany,Germany,Germany,Spain,Spain,Germany,Belgium,Belgium,Belgium,France,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 3804639.48
EU funding (EUR): 3804639.48
Participants: 18
Project status: CLOSED

Porous coordination network materials, also known as Metal-organic Frameworks (MOFs), are at the cutting edge of molecular materials science. DEFNET, “DEFect NETwork materials science and engineering”, is the first European Training Network (ETN) at the intersection of chemistry, physics and engineering aimed at structural and functional complexity of MOFs. It provides a unique interdisciplinary training platform for early stage researchers and combines the expertise of the academic and the non-academic sector for fundamental development and industrial application and technology transfer aspects. The research and the training program in materials synthesis, characterization, computational modelling and application is accomplished in a coordinated effort involving 8 academic and 8 industrial partners from 6 European countries. DEFNET will particularly investigate defects, disorder and correlated phenomena in MOFs and related materials. The understanding and the intentional modification of defect structures of porous coordination networks is essential for advanced controlling their properties in catalysis, gas capture and separation beyond existing materials limitations. Benchmarking will be done against selected zeolite materials, which are very well established for large scale industrial applications. It is anticipated that superior functionalities of defect engineered MOFs will be identified which cannot be achieved by employing other porous materials.

Keywords: coordination network compounds,metal organic frameworks mof,zeolites,catalysis,gas separation,gas storage,materials modeling,computational chemistry
SmartX is an innovative ICT platform for electricity demand-supply management (SmartX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Poland
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

SmartX - an innovative ICT platform for electricity demand-supply management allows energy suppliers to optimize their operating costs on one hand and reduce electricity bills for their customers on the other. SmartX consists of a central control unit that makes energy supplier able to control energy consumption and generation at the level of single houselhold. For example energy vendor may be interested to limit some non-critical energy-consuming assets at the peak time (like air conditioning when nobody is at home) or maximize home-based PV installation capacity of its customer at the peak time. Thanks to that, the vendor is able to buy less energy in the wholesale market at the peak times. Yielding control over some consuming/producing assets brings value to vendors' final customers - they will be able to pay less for the energy (less consumption in peak times) and/or get better price for the green energy they produce at home and they will not need to pay any attention in order to achieve that. Moreover vendors will probably offer better tariffs to the customers connected to SmartX as the cost of supply-demand risk management for such group of customers will be much cheaper.

Keywords: smart grid,big data,green energy,data mining,control,scada,data
Middle Palaeolithic projectile weapon TIPs: a regional and assemblage scale perspective on Neanderthal POINT technologies across Europe (TIP-N-POINT)

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: Social Sciences and Humanities
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-11-01
End date: 2021-11-30
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

Stone-tipped hunting weapons are an important marker of the technical and cognitive capacities of Palaeolithic hominins and represent a crucial tipping point in human behavioural evolution. Neanderthals were skilled hunters, as indicated by zooarchaeological and isotope analyses, but preserved remains of organic spears are sparse and potential lithic weapon tips are not ubiquitously present during the Middle Palaeolithic (MP, ca.300,000-40,000BP). Unravelling this enigma and reconstructing the technology underlying MP hunting events is one of the key challenges in studies of Neanderthal behaviour. Securely identifying hafted weapon tips is complex and past analyses of MP points have mainly focused on individual artefacts, their morphometric characteristics, use-wear and residue traces. Conversely, studies that contextualise MP points at an assemblage level, cross comparing various blank and tool types, are sparse, especially for the European record, even though they are key to a more comprehensive understanding of the role of point shapes in the Neanderthal tool kit. TIP-N-POINT fills this current research gap by bridging review and primary assemblage level data across Europe, providing a much needed data-driven perspective on Neanderthal hunting. At its centre stands the timely application of a suite of state-of-the-art analytical tools, including geometric morphometrics, GIS edge damage mapping and quantitative approaches (incl. generalised linear modelling). As a result, TIP-N-POINT will significantly advance methods in Palaeolithic archaeology and knowledge on Neanderthal behaviour as well as enhance the skill portfolio of the applicant. Necessary training and expertise are exclusively available at the Max Planck Institute for Evolutionary Anthropology (Germany) and TIP-N-POINT will contribute to the research profile of this world leader in human evolution by forging new transnational collaborations and establishing border-crossing European research excellence.

Keywords: palaeolithic archaeology,lithic analyses,neanderthal behaviour
GaTHeR, Gender and Transfer of Knowledge in Hunter Gatherer Research (GaTHeR)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2019-08-15
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

This project analyses feminist knowledge transfer in mainstream Science. Following the European Research Area key priority of strengthening the Gender dimension in research programs, the goal of this research is building a methodology to better understand the relations between Knowledge Production, Gendered Organisations and Methodological Challenges through a multidisciplinary case-study; hunter-gatherer (HG) research. The knowledge acquired on HG is deeply committed to erasing the frontiers between social and natural sciences and shedding light on the history of Humankind. HG studies are essential for understanding Human nature and how androcentrism has shaped specific disciplines and are also a promising field of research for exploring new methodologies (e.g., experimental games or social simulation). The research project examines the nature of knowledge transfer and the barriers preventing feminist knowledge from being integrated into distinct disciplines. The research adopts a mixed method approach. The first part consists of a retrospective discourse analysis offering a cartography of feminists’ contributions based on major scientific publications within HG studies from 1960 to present. The second part is a case study combining both quantitative and qualitative techniques. The quantitative online survey will test the first assumptions and enable to identify a group of participants. Also, 40 semi-structured interviews will be conducted with specialists on HG societies. Key questions concern the structural obstacles related to organisational changes, methodologies, and the frontiers between the disciplines that prevent gender from becoming a transversal issue. This research will address how gendered power relations within Academia normalize epistemology today. Finally, a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis will propose concrete enhancements to foster the inclusion of gender dimension in research programs.

Keywords: gender,hunter gatherer research,knowledge transfer,organisations,methodologies