Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Remote Sanitation – New sustainable sanitation solution for remote areas (Remote Sanitation)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Denmark
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Low quality sanitation is a huge global, growing environmental and health problem with large costs to society. Poor hygiene and waste treatment results in lower productivity, spreading of diseases and pollution. There is a lack of efficient and green solutions addressing specific sanitation needs in remote areas such as: refugee and military camps, remote industrial and household sites. The awareness of the problem is increasing and authorities have begun to act within this area - e.g. the United Nations Environment Programme has stated that “every dollar invested in safe water and sanitation has a pay back of US$3 to US $34 depending on the region and the technology deployed”. Aalborg Rørteknik ApS (ART) have invented a new sanitation solution, applicable in remote areas without access to sewage infrastructure. This turnkey system solution, consisting of 3 main modules (hygiene unit, waste water treatment, sludge handling), has superior advantages to alternative solutions by being e.g. mobile, reusable, hygienic, environmentally friendly and affordable. In addition, ART will include services such as camp architecture, installation and maintenance, ensuring maxmized efficiency of the solution. Red Cross have been an important contributor in the project and also led the way to market introduction targetting aidworker base camps. The unique selling points of the new solution are estimated to secure a market share of 15% within 5 years, resulting in an enhanced profitability and significant growth for ART. In this phase 1 study, ART will perform a demonstration exercice, as well as conduct extended market studies to develop an appropriate IP strategy, in preparation of a phase 2 project. The outcome of this stage, will be a feasibility report and business plan. This project and requested financial support, will address an innovative and sustainable solution, with clear benefits for users, with consequent impacts in the environment and the society as a whole.

Keywords: hygiene,green sanitation,remote areas
Managing Risk in Early Complex Societies in Syria-Palestine: An Investigation of Changing Animal Herding Strategies through the 4th-2nd Millennia BC Using Multi-Element Isotopic Analysis (MRECS)

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-2016, 2016)
Start date: 2018-08-29
End date: 2020-08-28
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The proposed research at Durham investigates the role of pastoral mobility in the rise of urban societies and large, integrated supra-regional economies in western Syria during the 3rd millennium BC through isotopic analysis of skeletal remains. During this period, state-level political systems developed and there was a massive expansion of urban settlement into the arid Syrian steppe. Scholars at Durham have proposed that elite exploitation of the economic opportunities provided by the humble sheep for the development of a vast new livestock-based economy lay at the heart of this transformation, representing a fundamental shift in socio-political networks, economic resilience and risk management strategies. Although material culture and texts provide clear indications about the vital significance of the wool industry in these major socio-economic changes, the proposed research will provide the first reliable means of directly testing these hypotheses by using multi-element isotopic analysis of archaeological animal enamel and bone to examine changes in animal management and herding strategies in Syria-Palestine in the 4th-2nd millennia BC. Two case studies will represent areas close to the core of this emerging system of economic intensification, and more peripheral areas that were likely impacted by these changes in more subtle ways.

Keywords: near east,syria palestine,isotopic analysis,animal management,complex societies
Trajectories of social, emotional and attention problems following very preterm birth: Individual participant data meta-analyses via international data sharing (TVPIPD)

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: Social Sciences and Humanities
Countries involved: Australia,United States,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-05-01
End date: 2024-04-30
Duration (months): 36.0
Total project cost (EUR): 271732.11
EU funding (EUR): 271732.11
Participants: 3
Project status: SIGNED

Each year over two million babies are born very preterm (VP; <32 weeks’ gestational age) and/or with very low birthweight (VLBW; <1500g) worldwide. Despite improved neonatal care, these children remain at high risk for developmental problems later in life. The most common adverse outcomes are social, emotional and attention problems which can impact on a child’s lifelong health and wellbeing. It is therefore critical to understand trajectories of social, emotional and attention problems after VP/VLBW birth to target intervention and improve outcomes across the lifespan. However, although a wealth of data has been collected, there is a paucity of research investigating trajectories of social, emotional and attention development in this population. This project will utilise data from 28 international birth cohort studies, comprising data from an unrivalled sample of 7,053 VP/VLBW participants, the investigators of which have already agreed to data sharing. Novel, innovative statistical techniques will be applied to harmonise different measures of social, emotional and attention problems producing a unique dataset that will allow me to use complex multilevel and longitudinal growth modelling to analyse trajectories from birth to adolescence. The results will advance theoretical understanding of the developmental pathways to social, emotional and attention problems and will have international impact informing the development of clinical guidelines for follow-up care, multidisciplinary intervention, parental counselling and educational policy and planning. The ultimate aim of my proposed research is to improve lifelong outcomes for the growing population of children born very preterm. The training and experience I will gain from working with leading multidisciplinary teams in this field of research will provide me with a unique opportunity to develop myself as an independent academic with the skills, collaborations and expertise needed to become a future research leader.

Keywords: sequelae of preterm birth,neurodevelopmental disorders,trajectories of social,emotional and attention problems,risk factors,international cohort studies,individual participant data meta analysis
Linking Latin. Building a Knowledge Base of Linguistic Resources for Latin (LiLa)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Italy
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-06-01
End date: 2023-05-31
Duration (months): 60.0
Total project cost (EUR): 1984500.0
EU funding (EUR): 1984500.0
Participants: 1
Project status: CLOSED

Although the research area dealing with building, sharing and exploiting linguistic resources and tools for automatic processing of Latin (and, more generally, of ancient languages) has seen a large growth across the last decade, linguistic resources for Latin are still not interoperable. This means that linguistic information is split up in many products that just do not talk to each other. Such a situation results in poor exploitation of the richness provided by all those digital objects for Latin that were produced across years of work. Since Latin is a dead language (thus missing native speakers), all we can and must do is to exploit to the best the information contained in those few and precious texts that survived from the past. This means: - to make the best possible organization and use of the available linguistic resources for Latin (enhanced with web-services for Natural Language Processing – NLP –) for a fruitful integration of the information they provide, i.e. to retrieve and combine information from different sources in the most efficient way; - to make it available linguistic resources whose quality is assessed (curated data sets). The objective of the LiLa project is to connect and, ultimately, to exploit the wealth of linguistic resources and NLP tools for Latin assembled so far, in order to bridge the gap between raw language data, NLP and knowledge descriptions, thus enabling scholars to exploit to the best the currently available resources and tools. To address such a challenge, LiLa intends to incorporate the linguistic resources for Latin into the Linked Data framework, making it possible for them to be published and interlinked on the web and to interact with each other. To this aim, the project will build an open-ended knowledge base for Latin by using the Linked Data paradigm to combine data from disparate linguistic resources, provide NLP web-services and include also Latin into the multilingual Linguistic Linked Open Data cloud.

Keywords: latin,linked data,linguistic resources
Acoustic Intelligence and AI, the Next Frontier. Listen, detect, predict. (Sound Health)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-02-01
End date: 2019-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Predictive Maintenance (PdM) is a maintenance technique, based on the monitoring of equipment conditions combined with different sets of real-time analytics to achieve cost savings by predicting failures, and detecting and responding to unanticipated equipment or process degradation. However, there are a few key factors hindering progress and digitalisation of the Industry 4.0: 1) Current estimations state that worldwide, there are 60M machines in factories, of which 90% are not connected; and 2) Current technologies are not appropriate: they are complex to install, requiring the maintenance team to reach to each machine separately; their inability to monitor a combination of machines that work in sequence; the high costs since several sensors are required for the measurement of the different aspects of the machine; ultimately leading to late detection. Sound Health is an acoustic data acquisition 24/7 system to monitor machinery for predictive maintenance (PdM). The system gathers high resolution data, detecting and predicting when maintenance is required, providing valuable reporting and insights, and becoming more efficient and competitive. Sound Health is the only Cloud based SW and HW platform for digitisation, visualisation and PdM of machines based on PLC parameters and additional acoustic sensors. Offering also PdM solution based on the large database it collects.

Keywords: maintenance,manufacturing,machinery,monitoring,machine hearing,sensors,digitisation,visualisation
Nuclear magnetic long-lived state relaxation (NuMagLongRx)

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: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

This project will develop computational tools that are critical in pushing forward the science of long-lived states (LLS) and their utilization as magnetic resonance beacons (MRB). The MRB support hyperpolarized nuclear spin order for long times (from few minutes to hours) and can generate enormously enhanced nuclear magnetic resonance (NMR) signals under a specific biochemical or physicochemical stimulus. Presently, no method exists to reliably predict the LLS lifetimes and the molecules that can function as MRB have been found based only on an educated guess. An algorithm that accurately predicts LLS lifetimes will allow the design of MRB with a specific purpose, and to extend the present record of LLS lifetime to the scale of many hours. The latter will allow MRB to be hyperpolarized in a remote site and transported to the place of use for spectroscopic and imaging investigations. The computational tools will be disseminated as a free-to-use software package, supported by documentation, workshops, instructional videos, social media posts, and online examples. The package is developed with special attention given to the fact that most of the users will not be experts in computational sciences or theoretical chemistry. The software combines molecular dynamics simulations and quantum chemical calculations in multiscale to produce propagators of the magnetization dynamics. Also, new electronic structure method will be developed to allow the inclusion of all relevant interaction mechanisms. It will include analysis tools to determine the processes and interaction mechanisms that govern LLS relaxation. The software will be experimentally optimized and applied to design MRB that are able to sustain extended LLS lifetimes.

Keywords: nuclear magnetic resonance,long lived states,singlet states,hyperpolarization,relaxation
Constructing Age for Young Readers (CAFYR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Belgium
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-02-01
End date: 2024-01-31
Duration (months): 60.0
Total project cost (EUR): 1400885.0
EU funding (EUR): 1400885.0
Participants: 1
Project status: SIGNED

Constructing Age for Young Readers (CAFYR) CAFYR starts from the observations that Europe has recently witnessed a few pertinent crises in intergenerational tension, that age norms and ageism frequently go unchecked and that they are part of children’s socialization. It aims at developing pioneering research for understanding how age is constructed in cultural products. CAFYR focuses on fiction for young readers as a discourse that often naturalizes age norms as part of an engaging story and that is endorsed in educational contexts for contributing to children’s literacy, social and cultural development. The effect of three factors on the construction of age in children’s books is studied: the age of the author, the age of the intended reader, and the age of the real reader. CAFYR aims to lay bare whether and how the age and aging process of children’s authors affect their construction of the life stages in their works. It will show how various crosswriters shape the stages in life differently for young and adult readers. It considers the age of young readers as varied in its own right, and investigates how age is constructed differently for children of different ages, from preschoolers to adolescents. Finally, it brings together readers of various stages in the life course in a reception study that will help understand how real readers construct age, during the reading process and in dialogue with each other. CAFYR also aims to break new theoretical and methodological ground. It offers an interdisciplinary approach that enriches children’s literature research with concepts and theories from age studies. It combines close reading strategies with distant reading and tools developed for digital text analysis. It provides a platform to people of different stages in life, contributing to their awareness about age, and facilitating and investigating dialogues about age, with the aim of ultimately fostering them more.

Keywords: children s literature,ageism
The first high-performance robotic system for automated harvesting of vegetables greenhouses (GRoW)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-07-01
End date: 2018-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The objective of the project is to demonstrate technological and business viability of the robotic harvesting applied in greenhouse farming of tomatoes. To date no commercial product for automated operations on tomatoes is available because of complex R&D that a producer has to face for developing a device capable to handle this extremely damageable fruit. Metomotion has found solutions to all the challenging technical steps, thereby allowing profitable harvesting of tomatoes and making it possible to growers to harvest the fruits throughout the year and not being exposed to labor shortage. By doing so, the harvest speed is doubled and the labor costs are halved. Moreover, our GRoW (Greenhouse Robotic Worker) will alleviate agricultural employees from back breaking work, permitting them to switch to more elevated tasks. In the context of the Precision Farming approach, automation in the agricultural sector is particularly solicited and MetoMotion is offering a product capable to satisfy the most compelling needs of the growers. The core innovations brought by MetoMotion consist of: - Advanced 3D vision system to clearly identify ripe fruits among leaves and stems - Extensible multiple robotic arms to increase harvest speed - Touch sensitive terminals to avoid damage and loos of fruits - Fully autonomous vehicle hosting embedding a box for the automated packing of collected fruits First interactions with users have shown great interest toward GRoW product. Within Phase 1 project, we will further explore the customer base to provide a comprehensive estimation of commercial potential relevant to GRoW. To date, on extremely precautionary basis, we forecast MetoMotion’s production capacity of about 200 robots/year, generating revenues of about € 30 mln in 3 years of operation. This figure may be substantially reviewed in the course of the Phase 1 project.

Keywords: high tech greenhouses,robotic harvesting,tomatoes greenhouses
Palaeolithic ungulate hunting strategies in the eastern Iberian Peninsula through advanced proteomic profiling (IBERHUNT)

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: Social Sciences and Humanities
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-03
End date: 2025-01-02
Duration (months): 36.0
Total project cost (EUR): 263732.16
EU funding (EUR): 263732.16
Participants: 2
Project status: SIGNED

Recent zooarchaeological analyses have suggested that Neanderthals were skilled hunters. Yet, there is still a vivid debate on whether Middle Palaeolithic human groups were also capable of more effective, and diverse, sophisticated food-processing behaviours, in particular through specialised hunting. Traditionally, archaeologists have relied on the osteological analysis of bone assemblages to determine prey mortality patterns, where species variability, age and seasonality data are calculated. Although this approach has yielded a great deal of important information about the Pleistocene hominin hunting strategies, there is a considerable lack of sex-based prey data for most Pleistocene bone assemblages, a key information that has direct implications for hominin planning depth, anticipatory abilities, mobility and land use. IBERHUNT project will conduct advanced biomolecular analyses in ungulate dental assemblages and sediments from six rich-faunal Middle and Upper Palaeolithic sites in the eastern Iberian Peninsula. The anthropic occupation deposits range Marine Isotope Stages (MIS) 5 to 3, making them exemplary case studies for comparative-based research. We aim to address 1) the determination of the biological sex of ungulate remains, by reading protein sequences through the analysis of tooth enamel amelogenin, and 2) the identification of palaeoenvironmental biomarkers, by the analysis of sediments’ compound-specific isotope ratios. This combination of state of the art techniques will provide contextualised and quantifiable high-resolution data on Pleistocene human foraging efficiency, allowing to re-evaluate Neanderthal predatory economics through an optimal foraging perspective that includes climate adaptations. IBERHUNT results will bring the discussion of evolutionary relationships between Neanderthals and modern humans in a broader perspective, and will contribute to the development of new methods for archaeological research.

Keywords: palaeolithic,proteomics,stable isotopes,ungulates,hunting,iberian peninsula