Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Information Theoretic Evaluation of Random Content Generation in Games (INTERCOGAM)

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: Information Science and Engineering
Countries involved: United States,United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-12-01
End date: 2019-11-30
Duration (months): 36.0
Total project cost (EUR): 251857.8
EU funding (EUR): 251857.8
Participants: 2
Project status: CLOSED

INTERCOGAM’s goal is to develop and use information theory based intrinsic motivation formalisms to evaluate automatically generated game mechanics. Content generation is one of the production bottlenecks of professional game design, which has begun to be addressed by procedural content generation. In this field, search based procedural content generation uses the idea of evolutionary algorithms to represent, modify and adapt games and game content to maximise fun and engagement with the game. One major challenge here is the identification of widely applicable fitness functions, which capture the different aspects of what makes a game fun, such as challenge level, complexity, pacing, etc. INTERCOGAM will relate psychological and game design concepts of game experience to either existing formalisms for intrinsic motivation or develop new ones, where appropriate. Human play testers will then play procedurally generated games and evaluate their own experience, allowing us to verify whether our formalism captures the actual human motivation, and whether humans indeed act according to certain intrinsic motivations. INTERCOGAM will yield both, a tool to generate new and engaging game ideas, aiding better and faster game design, and provide new insights into how the human mind engages with different worlds where there is no external reward present.

Keywords: computer games,intrinsic motivation,search based procedural content generation,information,theory,empowerment,artificial intelligence,procedural content generation
Cognitive control in context: Neural, functional, and social mechanisms of metacontrol (Metacontrol)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-12-01
End date: 2021-11-30
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Human behavior is commonly understood as emerging from a struggle between will and habit, i.e., between “intentional” processes driven by the current goal and “automatic” processes driven by available stimuli. This scenario suggests that it is mainly the goal-related processes that render behavior adaptive. Based on a novel theoretical framework (the Metacontrol State Model, combined with the Theory of Event Coding) that is motivated by recent behavioral and neuroscientific observations, I suggest an alternative view and argue that people can control the relative contributions of goal-driven and stimulus-driven processes to decision-making and action selection. In particular, people regulate the interaction between these processes by determining the ratio between (goal) persistence and flexi-bility, depending on task, situation, and personal experience—a process that I refer to as “metacontrol”. The project aims to identify and trace individual “metacontrol policies” (biases towards persistence or flexibility) and task- and condition-specific changes therein by means of behavioral, computational, and neuroscientific techniques, and by using virtual-reality methods. I shall study, account for, and try predicting individual differences in the choice and implementation of such policies, identify and explain the cognitive and social consequences of adopting a particular policy, and investigate whether and how people can adopt meta¬control policies from others—either intentionally or automati-cally. I shall also study whether and to what degree people use situational cues to automatize the implementation of suitable policies, and whether often-used, highly practiced policies can become chron-ified and turn into a trait-like processing style, as suggested by cultural studies.
Factory Automation Edge Computing Operating System Reference Implementation (FAR-EDGE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Germany,Italy,Switzerland,Sweden,Sweden,Greece,Greece,United Kingdom,Portugal
Call: Digital automation (H2020-FOF-2016, 2016)
Start date: 2016-10-01
End date: 2019-10-31
Duration (months): 37.0
Total project cost (EUR): 4490193.75
EU funding (EUR): 3992631.25
Participants: 13
Project status: CLOSED

Despite the proclaimed benefits (i.e. scalability, reliability, cost-effectiveness) of Future Internet (FI) technologies (i.e. edge & cloud computing, IoT/CPS) for factory automation, their adoption from manufacturers remains low for various reasons, including technology issues (e.g., poor situation awareness, limited deployments, no standards-based reference implementations) and the lack of a smooth migration path from legacy systems. FAR-EDGE is a joint effort of leading experts in manufacturing, industrial automation and FI technologies towards the smooth and wider adoption of virtualized factory automation solutions based on FI technologies. It will research a novel factory automation platform based on edge computing architectures and IoT/CPS technologies. FAR-EDGE will provide a reference implementation of emerging standards-based solutions for industrial automation (RAMI 4.0, Industrial Internet Consortium reference architecture), along with simulation services for validating automation architectures and production scheduling scenarios. FAR-EDGE will lower the barriers for manufacturers to move towards Industrie 4.0, as a means of facilitating mass-customization and reshoring. Emphasis will be paid in the study of migration options from legacy centralized architectures, to emerging FAR-EDGE based ones. FAR-EDGE will be validated in real-life plants (VOLVO, WHIRLPOOL) in the scope of user-driven scenarios (business-cases) for mass-customization and reshoring, where tangible improvements relating to reliability, productivity increase, quality cost, reduction in adaptation effort/costs will be measured and evaluated. Also, a wide range of migration scenarios will be evaluated in the scope of a CPS manufacturing testbed. FAR-EDGE will also establish a unique ecosystem for FI factory automation solutions, which will bring together the FoF and FI communities (e.g., EFFRA, Industrie 4.0, AIOTI, ARTEMIS JU) and will ensure sustainability of FAR-EDGE results.

Keywords: edge computing,industrial automation,mass customization,reshoring,industry 4 0,rami 4 0
Transforming digital in-content advertising to deliver global scale (LONGTAIL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Ireland,Finland
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-2-2015, 2015)
Start date: 2015-09-01
End date: 2017-06-30
Duration (months): 22.0
Total project cost (EUR): 3699993.75
EU funding (EUR): 2499999.0
Participants: 2
Project status: CLOSED

Today, digital advertising is dominated by big, US-driven companies like Google and Facebook, who provide the majority of the ads we see online. The old dominant concept has been to sell and show static banner ads in a fixed location, separated from Publisher digital content. The problem with this approach is that ads are placed where they are usually ignored and, being mostly poorly targeted, are not adding value to end users. The next generation concept in digital advertising will be in-content advertising, where advertising is turned into a service in order to enhance the end user experience. It means that advertisements are placed dynamically inside the actual content of the Publisher digital property and served in the right context for the right audience as identified by behavioral data. In-content advertising unites programmatic advertising technology with real-time bidding and performance based advertising. Kiosked launched its innovative in-content advertising platform in 2014, generating significant interest from publishers, advertisers and investors. Kiosked has grown over a 9 month period in a highly competitive marketplace to serve over 250 million people with more than 3 billion ads on a monthly basis. Growth continues, however, the current manual sales process has been identified as a limiting factor to growth; the next innovation is to enable a data driven automated online marketing and sales service. In this project, the Kiosked platform will be developed into a fully automated, end-to-end service, thereby allowing any digital publisher to onboard the service at any time. Data drives Programmatic advertising and effective advertising performance delivering enhanced end-user experience. This project enables Kiosked to efficiently connect Publishers’ audience with programmatic advertising buyers delivering greater data driven value and granting Kiosked the ability to scale globally into one of the world’s biggest players in digital advertising.

Keywords: in content advertising,digital advertising,programmatig buying
Innovative Cluster for Radiological and Nuclear Emergencies (INCLUDING)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Coordination and support actions
Countries involved: Italy,Germany,Austria,Italy,Finland,Greece,Poland,Lithuania,Hungary,France,Portugal,Portugal,Portugal
Call: Pan-European networks of practitioners and other actors in the field of security (H2020-SU-SEC-2018, 2018)
Start date: 2019-08-01
End date: 2024-07-31
Duration (months): 60.0
Total project cost (EUR): 3585528.75
EU funding (EUR): 3585528.75
Participants: 16
Project status: SIGNED

INCLUDING connects 15 Partners from 10 EU Member States (MS), bringing together infrastructure, equipment and experts coming from Medical Organizations, Fire Corps, Government Department, Municipalities, Law Enforcement Agencies, Ministries, Governmental and Civilian Research Institutes and Industries operating in the field of radiological and nuclear emergencies. Far from being a simple aggregation of entities separated geographically and with complementary expertise, INCLUDING pursues to develop a Federation in which individual Members will cooperate together to provide a common framework to standardize access to their respective facilities, enhance interoperability and to allow a more intensive use of expensive equipment. The operative tool to manage the Federation will be a web-based platform with a sophisticated architecture and whose functionality has been proven in a previous EU project. At the same time the project aims to enhance practical know-how and to boost a European sustainable training and development framework for practitioners in the Radiological and Nuclear Security sector. The INCLUDING project will be flexible in order to include new facilities and innovation in technology, organizations and procedures. The plurality of facilities and expertise in the INCLUDING Federation reflects the complex and intertwined structure of the prevention and response phases of RN threats and will provide to the practitioners a set of real or emulated scenarios where to test concept of operations in a controlled environment. The Joint Actions will be the focal points of the project. They are multidisciplinary field exercises, tabletop exercises, training, serious gaming and simulation organized at their premises by the project partners and with the objective of demonstrating the added value of the Federated scheme and of the use of an innovative tool like the INCLUDING web based Platform to manage a pan European network of training facilities and resources.

Keywords: radiological,nuclear,federation,demonstrations,training
Testing and Evaluating Sophisticated information and communication Technologies for enaBling a smartEr griD (TESTBED)

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: China,Greece,Greece,Switzerland,Netherlands,United Kingdom,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 882000.0
EU funding (EUR): 598500.0
Participants: 9
Project status: CLOSED

Smart grid represents a significant new technology of improving the efficiency, reliability, and economics of the production, transmission, and distribution of electricity. It is crucial to exchange and use information for performing smart grid applications. However, in reality the exchange of information over multiple networks is unreliable, leading to unpredictable network Quality-of-Service and thus unreliable smart grid applications. What’s worse, there are massive data, including metering data and measurement data, structured or unstructured, making it challenging to exploit useful information. Hence, there is an urgent need to solve the research problem: how to coordinate multiple networks to reliably transmit data, and then manage ICT system resources to efficiently extract useful information for supporting smart grid applications? TESTBED is a major interdisciplinary project that combines wisdoms in three academic disciplines - Electronics Engineering, Power Engineering and Computing Sciences, to address the aforesaid problem. The main focus is on improving the communication layer interoperability and the efficiency of data analytic. Regarding the communication layer interoperability, this project intends to develop and evaluate function-driven communication frameworks. Moreover, this project will develop and verify new data integration and analytic techniques for enhancing power grid operations. These developed frameworks and methods will be extensively tested and evaluated in 4 well-equipped Laboratories at HWU, EPRI, ICCS, and CAS. They will not only support the SGAM Framework, but also complement and enhance International Standards. Overall, the main objective of this project is to coordinate the action of 5 Universities and 3 enterprises, working in the field of ICT and smart grid from both EU and China, to build and test sophisticated ICT, thereby facilitating the successful implementation of smart grid applications.

Keywords: smart grid,demand response,virtual power plant
Non-Equilibrium Protein Assembly: from Building Blocks to Biological Machines (NEPA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Austria,United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-10-01
End date: 2024-09-30
Duration (months): 60.0
Total project cost (EUR): 1424574.0
EU funding (EUR): 1054631.54
Participants: 2
Project status: SIGNED

A key challenge in biological and soft-matter physics is to identify the principles that govern the organisation and functionality in non-equilibrium systems. Living systems are by definition out of equilibrium and a constant energy input is required to assemble and disassemble the molecular machinery of life. Only out of equilibrium, can proteins assemble to form functional sub-cellular structures, bind cells into dynamic tissues, and form complex biological machines. Our understanding of the physical mechanisms underlying robust protein assembly in driven systems is far from complete. Here I propose to develop a computer-simulation based framework to discover the physical principles of non-equilibrium protein assembly in biological or biomimetic systems. I will focus on systems where chemical gradients and active mechanical forces control protein assembly pathways and morphologies, and in which protein assembly far from equilibrium performs mechanical work. The particular case studies that I will investigate include mechanosensitive protein channels, fibrils of mechanical proteins, and active elastic filaments that remodel cells. As I aim to uncover generic design rules, my simulation model will only retain essential information on the shape and interaction of the assembling proteins needed to capture the complexity of the assembly. Using such minimal models, the simulations will be able to reach experimentally relevant time and length-scales, and will make quantitative predictions, which will be validated against data obtained by my experimental colleagues. The proposed programme will deliver an in-depth understanding of the molecular mechanisms that control the emergence of function in protein assemblies driven far from equilibrium. This knowledge should enable us to program or reprogram assembly phenomena in living organisms, and will provide principles that will guide the design and control of functional biomimetic assemblies and bio-inspired nano-machines.

Keywords: protein assembly,nucleation,coarse grained computer simulations
Non-intended health, economic and social effects of the COVID-19 epidemic control decisions: Lessons from SHARE (SHARE-COVID19) (SHARE-COVID19)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Israel,Germany,Germany,Spain,Greece,Croatia,Poland,Sweden,France,Czechia,Netherlands,Denmark
Call: Behavioural, social and economic impacts of the outbreak response (H2020-SC1-PHE-CORONAVIRUS-2020-2-RTD, 2020)
Start date: 2020-11-01
End date: 2024-06-30
Duration (months): 44.0
Total project cost (EUR): 6847680.25
EU funding (EUR): 6847680.25
Participants: 17
Project status: SIGNED

The non-intended consequences of the epidemic control decisions to contain the COVID-19 pandemic are huge and affect the well-being of European citizens in terms of economics, social relationships and health: Europe is experiencing the largest recession since WWII; social contacts have been interrupted; people avoid seeking medical treatment in fear of infection. The overarching objective of this project is to understand these non-intended consequences and to devise improved health, economic and social policies. In our policy recommendations, we strive to make healthcare systems and societies in the EU more resilient to pandemics in terms of prevention, protection and treatment of the population 50+, a most vulnerable part of the population. The project aims to identify healthcare inequalities before, during and after the pandemic; to understand the lockdown effects on health and health behaviours; to analyse labour market implications of the lockdown; to assess the impacts of pandemic and lockdown on income and wealth inequality; to mitigate the effects of epidemic control decisions on social relationships; to optimise future epidemic control measures by taking the geographical patterns of the disease and their relationship with social patterns into account; and to better manage housing and living arrangements choices between independence, co-residence or institutionalisation. The project pursues a transdisciplinary and internationally comparative approach by exploiting the data sources of the SHARE research infrastructure. It covers all EU MS. The project’s team represents medicine, public health, economics and sociology and has worked together since the creation of SHARE. It is experienced in translating data analysis into concrete policy advice. The project’s policy recommendation are targeted at policy makers in the Commission and in national ministries as well as at national and international NGOs and social organisations.

Keywords: share,covid 19,transdisciplinarity,europe,cross national
MELANOPSIN CONTRIBUTION TO PATTERNS DISCIRMINATION IN DIURNAL AND NOCTURNAL RODENTS (MEL-ROD)

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-2019, 2019)
Start date: 2020-09-02
End date: 2022-09-01
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Three types of retinal photoreceptors are responsible for light detection: rods, cones and intrinsically photosensitive retinal ganglion cells (ipRGCs) containing melanopsin. Until recently, it was universally assumed that daytime vision originates with cones, dim light vision with rods, leaving ipRGCs to drive sub-conscious reflex responses to changes in ambient light (e.g. circadian photoentraiment). However, very recent data from mice has revolutionized vision science by showing that melanopsin can also provide the brain with information about the spatial patterns during the day, complementing the activity of cones in the representation of larger amplitude and coarser patterns in brightness. The proposed project is aimed to determine how melanopsin and cones work together to create images in nocturnal mice and in a diurnal murid (Rhabdomys) with strong cone-based daytime vision, respectively. We will take advantage of technological edge in multi-primary visual display (mVDU) design that allows, for the first time, patterns visible only to melanopsin to be generated. We will apply the mVDU technology to in vivo multi-unit electrophysiological recordings from the visual thalamus (the dorsal lateral geniculate nucleus) and behavioural experiments on melanopsin sufficient and deficient mice created by optogenetical manipulation of ipRGCs. We hypothesize that there will be significant differences in the melanopsin contribution to pattern discrimination between chosen night and day active animals due to the difference in their retinal structure (rod-cone ratio). We believe that the proposed research will contribute to better understanding of the visual system and lead to a step change in performance of image capture and display technologies by adjusting their design to take account of melanopsin. The applicant will benefit from the project with new skills, knowledge and the experience to launch her own research group in the future.

Keywords: rodents,electrophysiology,melanopsin,retina,vision