Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Sharing Cities (Sharing Cities)

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: Innovation actions
Countries involved: Italy,Italy,Italy,Italy,Italy,Italy,Italy,Belgium,Bulgaria,Poland,France,United Kingdom,Portugal,Denmark,United Kingdom,Portugal,Portugal,United Kingdom,United Kingdom,Portugal,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Smart Cities and Communities solutions integrating energy, transport, ICT sectors through lighthouse (large scale demonstration - first of the kind) projects (H2020-SCC-2015, 2015)
Start date: 2016-01-01
End date: 2021-12-31
Duration (months): 72.0
Total project cost (EUR): 28000515.97
EU funding (EUR): 24753944.98
Participants: 45
Project status: CLOSED

Sharing Cities has four key objectives. 1) To achieve scale in the European smart cities market by proving that properly designed smart city solutions, based around common needs, can be integrated in complex urban environments. This will be done in a way that exhibits their true potential and allows for the significant scale-up and consequent increase in social, economic and environmental value. 2) Adopt a digital first approach which proves the extent to which ICT integration can improve and connect up existing infrastructure, as well as the design and running of new city infrastructure. This will also allow for the creation of a new set of next stage digital services which will help citizens make better and beneficial choices around energy efficiency and mobility, which when scaled up will enhance the city’s ability to hit key targets for mobility, housing, energy efficiency and resilience, and economic development. 3) Accelerate the market to understand, develop and trial business, investment and governance models, essential for the true aggregation and replication (through collaboration) of smart city solutions in cities of different sizes and maturities. In doing this, we intend to accelerate the pace by which we make transformative improvements, and enhance sustainability in communities. 4) Share and collaborate for society: to respond to increasing demand for participation; to enhance mechanisms for citizens’ engagement; to improve local governments capacity for policy making and service delivery through collaboration and co-design; resulting in outcomes that are better for citizens, businesses and visitors. These will be delivered by a range of expert partners across 8 work packages.

Keywords: sharing,accelerate,scale,funding,growth,digital,integrated infrastructure,energy efficient districts,citizen involvement,local renewables,emobility
Fluzo.Tv e-Sports Platform: Watch, Train Win (Fluzo.tv)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Spain
Call: SME business model innovation (H2020-SMEINST-1-2015, 2015)
Start date: 2016-03-01
End date: 2016-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Electronic Sports (also known as e-Sports or competitive gaming) is a term for organized video game competitions, especially between professionals. e-Sports are the new Massive Digital Phenomenon of our era. Started in 1997, they have exploded in the last 3 years. More than 188 Million people watched e-Sports in 2015 (Jan-Oct), generating a market above $748 Million that will reach $1.9B by 2018E. As a new and young industry, lots of opportunities are arising, not only in the field of e-Sports, but also in collateral markets. At Fluzo Studios we have been researching in the field for one year. Fluzo.Tv is our proposal to enter in the streaming of e-Sports related content and tournaments. Pay per view TV operators’ platforms for broadcasting of traditional sports (mostly football in Europe) are now based on the standard TV/Media rights model: generation of income via users subscriptions and advertising, while sharing part of this income with stakeholders (teams, leagues, etc.). Current e-Sports streaming platforms over Internet do not follow this business model, only generating income but not sharing it with particular stakeholders of the field (mainly developers and teams), causing the industry to struggle in the future. Fluzo.Tv proposal is to adapt this Media Rights model in the appropriate way to the particularities of this young industry based on internet and streaming, creating this way a sustainable lifecycle for the sector, while integrating in a single platform more income sources (training of professional gamers and betting systems), thanks to the boundaries of a technological and interactive platform.

Keywords: e sports,tv platform,streaming,business model
Digital biomarkers and treatment personalisation in multiple sclerosis (dreaMS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-06-01
End date: 2019-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Multiple Sclerosis (MS) diagnosis is based on neurologists’ assessment using a combination of tools: MRI, physical and cognitive assessments and patient reported symptoms. It is well accepted that current tools do not paint a proper picture of the patient illness leading to the need of additional insights into patient symptoms. dreaMS aims to be the 1st digital solution for patient with MS providing digital biomarkers to help with diagnosis, prognosis and treatment choice. The solution supports both patients and providers, allowing for more precise treatment strategies and continuous monitoring, resulting in improved patient outcomes and well-being. Our technology is easy scalable to other diseases treatment (like Alzheimer, schizophrenia, or any neurological illness) The global MS treatment market was valued at $16.13 Billion in 2016, and is expected to reach $27.38 Billion by 2025, driven by the continued uptake of premium products and an increase in treatment rates because of the availability of novel alternatives based on digital solutions. dreaMS will enter to the European digital biomarkers market, which is facing major changes that will reshape the competitive environment for solution vendors and service providers during the coming years. Our key users will be neurologists and MS patients that will use the dreaMS technology. Additionally, because dreaMS benefits among value chain (both users and buyers) we will guarantee a global impact. Phase 1 will center on preparing a feasibility study. This will include the following activities: full identification and characterization of our target market, design of the internationalization and business development strategy, definition of technological needs and product validation, identification and clearance of legal issues and definition of our IPR strategy, and finally, design of the finance strategy and a business plan. We plan to use SMEI-1 to identify interested buyers to take part in demonstrations in SMEI-2.
Intelligent Pollination for Sustainable Increases in Crop Yields and Global Food Security (iPollinate)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Italy,Israel,Spain
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 2728125.0
EU funding (EUR): 1909687.0
Participants: 3
Project status: SIGNED

iPollinate will bring to market a unique IoT sensor that provides real time monitoring of the foraging rate of honeybee colonies used for pollination services. This data will be correlated with hive strength and health data using Machine Learning (ML) techniques to provide a precision pollination service enabling farmers to optimise pollination efficiency and crop yields. Our aim is to enable sustainable increases in crop yields of 30%. Our commercial objectives are to build a global business providing pollination intelligence services generating annual sales of over €10million and create 17 high-level jobs in IoT and data analytics within 5 years. Actions include: • Advanced design and testing of optoelectronic sensor to collect bee foraging data • Using ML techniques to generate new metrics for pollination effectiveness • Creating a Spatial Decision Support System (SDSS) to support pollination management • Conducting field trials to demonstrate performance • Implementing structured dissemination and exploitation plan to accelerate market adoption. We have an industrial consortium of 3 SMEs with complementary expertise: • IRIDEON (Spain): IoT applications, electronics and software development, prototyping and manufacture • CANETIS (Italy): Development of tools and systems for analysing bee health and behaviour • BEEHERO (Israel): Precision pollination services for farmers The project will accelerate development and adoption of a disruptive innovation and business model for pollination services enabled by unique IoT sensor technology and advanced data analytics. It also addresses priority Societal Challenges, specifically relating to Food Security and Sustainable Agriculture. iPollinate will enable increases in crop yield, quality and nutritional value through more effective pollination, without the input of additional agricultural resources. It also supports the competitiveness of the European Precision Agriculture sector in a rapidly growing global market.

Keywords: pollination services,internet of things,ground sensors,spatial decision support,systems,machine learning,cloud computing,geoss,copernicus
Acquiring assembly skills by robot learning (AssemblySkills)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Germany
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-01-01
End date: 2022-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Present-day industrial robots are made for the purpose of repeating several tasks thousands of times. What the manufacturing industry needs instead is a robot that can do thousands of tasks, a few times. Programming a robot to solve just one complex motor task has remained a challenging, costly and time-consuming task. In fact, it has become the key bottleneck in industrial robotics. Empowering robots with the ability to autonomously learn such tasks is a promising approach, and, in theory, machine learning has promised fully adaptive control algorithms which learn both by observation and trial-and-error. However, to date, learning techniques have yet to fulfil this promise, as only few methods manage to scale into the high-dimensional domains of manipulator robotics, or even the new upcoming trend of collaborative robots. The goal of the AssemblySkills ERC PoC is to validate an autonomous skill learning system that enables industrial robots to acquire and improve a rich set of motor skills. Using structured, modular control architectures is a promising concept to scale robot learning to more complex real-world tasks. In such a modular control architecture, elemental building blocks – called movement primitives, need to be adapted, sequenced or co-activated simultaneously. Within the ERC PoC AssemblySkills, our goal is to group these modules into an industry-scale complete software package that can enable industrial robots to learn new skills (particularly in assembly tasks). The value proposition of our ERC PoC is a cost-effective, novel machine learning system that can unlock the potential of manufacturing robots by enabling them to learn to select, adapt and sequence parametrized building blocks such as movement primitives. Our approach is unique in the sense that it can acquire more than just a single desired trajectory as done in competing approaches, capable of save policy adaptation, requires only little data and can explain the solution to the robot operator.

Keywords: autonomous learning system,motor primitives,motor skills,modular control architecture
The Wood as Time Machine: interdisciplinary approach to study post-medieval human-environment interactions where Atlantic meets the Mediterranean (WoodTiMe)

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: Environment and Geosciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: SIGNED

Centuries-long societal relations uniting Euro-African territories have modulated the forest history. Grazing and use of wood as an essential material have led to overexploitation of woodlands with lagged environmental problems like deforestation, severe flooding, encroaching deserts and declining ecosystems productivity. These human-environment interactions are well presented in the centre of these linkages, the Strait of Gibraltar, where the legacy of such history has survived in millennial forests and timber in archaeological sites or historical buildings. The project's objectives are: 1) to characterize historical exploitation of forests and its relation with the past forest dynamics using dendrochronology in ancient Andalusian and Moroccan forests 2) to explore the potential of deriving post-medieval ecological and societal changes from archaeological and historical timber 3) to apply emerging proxies (wood traits, DNA, chemical composition) to develop novel tools for identification of timber origin that may explain past human-environment interactions. To achieve these objectives, the project will be implemented in three stages: 1) Collection of ancient trees samples in Baetic mountains and Moroccan Rif and Atlas to analyse the forest history and unlock the wooden archive containing the key for understanding the historical exploitation of resources. Tree-growth chronologies and wood traits will be estimated by wood scanning and measurement of tree-ring widths. 2) The legacy of forest history and wood trade between trans-Mediterranean continents will be analysed through multi-century ring series preserved in archaeological and post-medieval historical wood material. Old buildings will be explored to analyse wood origin in relation to the magnitude of historical use of forests. 3) Application of a battery of novel techniques (blue intensity, wood anatomy, elemental composition and stable isotopes) for developing a new timber provenancing tool – dendroscapes.

Keywords: human environment interactions,dendrochronology,wood sciences,timber,dendroarchaeology,past climate,forest disturbances,relict forest,mediterranean forest,timber dna,dendroprovenancing
Gendering and contextualizing migrants’ support for gender equality (MIGGEN)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Duration (months): 12.0
Total project cost (EUR): 106466.88
EU funding (EUR): 106466.88
Participants: 1
Project status: CLOSED

Recently, public debates on migrants’ integration have become increasingly skeptical. A recurring topic in these debates is how migrants view women. Migrants – especially non-Western migrants – are often portrayed as unilaterally rejecting gender equality, and some have argued that this means that their integration has failed. However, there are marked differences in support for gender equality between migrants from non-Western origins. The research I propose aims to explain this diversity in non-Western migrants’ gender attitudes. Doing so, this research provides policy-relevant insights into when migrants integrate in a cultural sense, which may also help nuance public debates. At its core, this research argues non-Western migrants’ support for gender equality is shaped by the contexts in which migrants are embedded. Existing quantitative studies have paid little attention to how contextual forces shape migrants’ support for gender equality. However, more qualitatively-oriented fields as gender and transnationalism studies have provided valuable – although somewhat scattered – insights into how migrants’ gender attitudes are shaped through gendered contextualized processes. Unfortunately, those interdisciplinary insights have rarely been integrated by quantitative scholars. Therefore, this research aims to refine and synthesize insights from diverse disciplines to develop a novel “gendered embeddedness” framework. This framework argues that contextual forces explain the diversity in support for gender equality among non-Western migrants, albeit in gendered ways. This framework is consequently subjected to rigorous empirical scrutiny by applying advanced statistical techniques such as multi-membership models to existing, newly-harmonized large-scale data that cover about 10,000 non-Western migrants. Ultimately, this research lays bare when migrant groups culturally integrate and support gender equality and under what (gendered) conditions they do not.

Keywords: support for gender equality,public opinion,non western migrants,cultural integration,survey data,comparative,context dependency
Rapid Reconfiguration of Flexible Production Systems through Capability-based Adaptation, Auto-configuration and Integrated tools for Production Planning (ReCaM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Italy,Spain,Italy,Spain,Austria,Spain,Italy,Germany,Finland
Call: Flexible production systems based on integrated tools for rapid reconfiguration of machinery and robots (H2020-FoF-2015, 2015)
Start date: 2015-11-01
End date: 2018-10-31
Duration (months): 36.0
Total project cost (EUR): 6804728.75
EU funding (EUR): 5302860.0
Participants: 11
Project status: CLOSED

The requirements on production systems are continuously being shifted towards higher flexibility and adaptability. The ReCaM-project will demonstrate at TRL 7 a set of integrated tools for the rapid and autonomous reconfiguration of agile production systems, both at operational as well as managerial levels, integrated with the existing production planning and scheduling tools (MES). This approach is based on intelligent plug-and-produce capable self-describing mechatronic objects, which are able to auto-program and self-adjust to the required task by utilizing parametric capabilities. These next generation flexible production systems and the proposed set of enabling ICT tools will allow a rapid and cost-efficient reaction to dynamic market changes, also in small-lot production contexts, reducing the efforts needed to switch between product types and production quantities. ReCaM-solutions are expected to allow increasing the amount of variants and decreasing the lot sizes by 50% in an economically feasible way. Also, at least 30% reduction in set-up and changeover times and costs are expected. The integrated planning tool will take into consideration the energy consumption of the specific resources and try to minimize it by smart production scheduling, utilization of integrated operating-point switching of mechatronic objects, and reconfiguration. Thus, at least 5% reduction in energy consumption is anticipated. The project will ground on existing de-facto standards and specifications regarding reconfigurable system architectures, resource data models, control architectures and interfaces, and will provide and supplement new specifications for the missing aspects. The ReCaM consortium sees strong involvement of SME’s to RTD and demonstration activities and two end-users from major EU sectors, thus enabling proper exploitation of the demonstrated results worldwide.

Keywords: agile production systems,capability based adaptation,mechatronic modules,auto programming,integrated ict tools,trl7,plugandproduce,autonomous reconfiguration,formalized capabilities
Dissecting Cross-Regulatory Interplays in Tumor-Associated Macrophages (X-TAM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Italy
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-03-01
End date: 2023-08-31
Duration (months): 66.0
Total project cost (EUR): 1498125.0
EU funding (EUR): 1498125.0
Participants: 1
Project status: SIGNED

Macrophages are specialized innate immune cells with central roles in homeostasis and disease. Upon exposure to micro-environmental stimuli, these cells can adopt a variety of phenotypes ranging from immune stimulation and cytotoxicity to immune suppression and tissue repair. Dynamic transitions between these functional properties in response to tumor signals is thought to underlie the generally pathogenic role of macrophages in cancer. At the same time, macrophage plasticity could be exploited to therapeutically reprogram the phenotype of these cells by pharmacological, cell and gene therapy approaches. Current models of macrophage activation are based on in-depth analyses of the effect of individual stimuli, such as pro- or anti-inflammatory cytokines, on the biochemical, cell biological, epigenetic, transcriptional and post-transcriptional landscape of macrophages. However, these studies do not take into consideration the interplay that these stimuli may have when present at the same time. This project aims to elucidate how macrophages integrate incoherent environmental stimuli at the genomic level, and translate them into context-specific gene expression programs. Because concomitant activation of antagonistic pro-inflammatory and anti-inflammatory pathways is almost invariably observed in cancer, we propose that these interplays are critical determinants of the biology of tumor-associated macrophages. Our approach integrates cutting-edge genomics and computational modelling with in vitro functional screenings and in vivo manipulation of macrophages, building on uniquely available gene therapy platforms. Successful completion of this project will generate widely exportable paradigms of gene regulation in the immune system, and deliver innovative cell and gene therapy strategies to manipulate the behaviour of macrophages in cancer.

Keywords: macrophage polarization,myeloid cells in cancer,tumor microenvironment