Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Fine scalE forAging Strategies of grey seals in relation to their biotic and abiotic environmenT (FEAST)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-02-01
End date: 2021-01-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Pinnipeds play a top predators key role in top-down processes and are considered bio-indicators of the health of marine ecosystem. Therefore, quantifying their foraging activity and energy expenditure in relation to rapidly changing marine environments is crucial for assessing these roles. However, gathering concurrent information on the movements, prey acquisition and environment of these cryptic species is a real challenge. In FEAST, I will, for the first time, combine the use of acceleration and acoustic data to quantify the links between pinnipeds foraging decisions and energetics with 3-D prey distribution, environmental features and anthropogenic activities using grey seals as model species. FEAST will (I) validate the use of acoustic and movement recording tags (D-Tags) on grey seals to detect feeding events, (II) quantify grey seals’ fine scale foraging activity and energy budgets to investigate how they optimize resource acquisition, (III) assess the influence of the abiotic & biotic environments as well as anthropogenic activities on their foraging activity, (IV) estimate prey type and field densities using active acoustic D-Tags as onboard echosounders. Thus, I will use, for the first time on pinnipeds, DTAGs which are central to the Host lab at Aarhus University and are the most advanced tagging technology in the field of marine mammal research. The originality and innovative aspects of FEAST lies at the intersection of bioacoustics, cutting edge engineering tools, signal processing, ecology and physiology to determine foraging optimization in free-ranging, wild marine animals. In accomplishing FEAST objectives, I will provide an unprecedented understanding of the sensory ecology of a large marine predator in habitats facing increased human encroachment, which will also be directly relevant to the European Commission’s Marine Strategy Framework Directive by assessing animal responses to human impacts.

Keywords: marine mammals,pinnipeds,biologging,foraging strategies,predator prey interactions,bioaccoustic,physiology,statistical modelling,habitat use,acceleration,movement ecology,signal processing
Energy efficiency Data Protocol and Portal (EeDaPP)

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: Germany,Italy,Italy,Germany,Belgium,Netherlands
Call: Making the energy efficiency market investible (H2020-EE-2017-CSA-PPI, 2017)
Start date: 2018-03-01
End date: 2020-08-31
Duration (months): 30.0
Total project cost (EUR): 1536422.5
EU funding (EUR): 1500000.0
Participants: 7
Project status: CLOSED

Despite some progress has been made in green finance, only a fraction of bank lending and funding (securities) is explicitly classified as green. The lack of standardisation (in terms of reporting definitions and dynamic data sets) hinders transparency, viability and risk assessment and it is thus a major obstacle to the development of the market. There is a huge and urgent need of a standardised approach to “green due diligence”. The EeDaPP Project intends to deliver large-scale, granular technical and financial data related to energy efficient mortgages by way of a standardised data protocol to be accessed through a common, centralised portal. Three key outputs will be: the definition of specific reporting criteria for the gathering of data on energy efficient mortgages; the design and delivery of the standardised protocol for the gathering, processing and disclosing of such data, and the design of a centralised portal; the analysis of data gathered to further integrate ‘green value’ in property valuation and substantiate the correlation between energy efficiency and risk.In this way, the EeDaPP Project builds on and complements the ongoing EeMAP Project, which is intended to design an energy efficient mortgage financing mechanism. The EeDaPP Project will boost the green securities market in terms of size, liquidity and efficiency by providing for the traceability of the performance of energy efficient assets, allowing for the identification of such assets for the purposes of energy efficient covered bond/bond issuance and potentially other derivatives, and by significantly boosting investor confidence in such securities. EeDaPP has also long-term potential to scale-up the expected impacts of the EeMAP Project to encourage significant energy reductions. The EeDaPP Consortium brings together all the necessary competencies (financial, data processing and management, property valuation) to develop a robust, workable and marketable pan-European data protocol & portal.

Keywords: mortgage financing mechanism,energy efficiency data,large scale data collection,granular financial and technical data,correlation and analysis,green value
NExt-generation WDM Metro and Access Networks (NEWMAN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 185857.2
EU funding (EUR): 185857.2
Participants: 1
Project status: CLOSED

The primary goal of the NEWMAN project is to train a talented researcher with a strong academic background in fibre-optic communication, through a research programme focused on developing next generation wavelength-division-multiplexing (WDM) technologies, and their usage as a for metro and access optical communication networks. The aimed WDM technologies supporting low-cost low energy consumption are highly desirable, since the number of metro and access links are forecasted to be massive in the next generation networks and will contribute to major portion of total energy consumption of the global network. The success of this project will contribute knowledge to the fields of laser science and fibre-optic technology, and establish an internationally leading position for Europe in the industrial applications relevant to fibre-optic networks. The Fellow, Dr. Xiaodan Pang, will receive substantial training activities in professional knowledge and skills in the field of WDM systems. In turn, Dr. Pang will also bring his academic frontline research expertise to the industrial development of the field of fiber-optic communication. This will take place at the EU non-academic host (Infinera Metro Business Group R&D HW), and academic secondments to the KTH Royal Institute of Technology and ACREO Swedish ICT. This training-through-research project will significantly enhance the Dr. Pang's competence in both academic and applied research areas, establishing him as a leading figure in optical communication research and industry communities that are strongly linked to the European universities and industry. Therefore, the NEWMAN project shows a strong coherence with the Society & Enterprise Panel (EF-SE) of the Marie-Curie Individual Fellowships, which is dedicated to career opportunities for researchers seeking to work on research and innovation projects in non-academic organization.

Keywords: fibre optic communications,wavelength division multiplexing,coherent optical communication advanced modulation formats,digital signal processing
Investigating the sensorimotor mechanisms of respiration and their contribution to bodily self-consciousness by combining virtual reality, physiology, and neuroimaging. (RESPVR)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-11-01
End date: 2022-10-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

Breathing-related manipulations modulate the bodily self-consciousness. Such effects are particularly reliable and robust for breathing agency that is the feeling of controlling the act of breathing. Interestingly, breathing control is very similar to the control of action. This proposal approaches breathing and breathing function in a novel theoretical and experimental framework, providing firm behavioral and neural evidence to link sensorimotor processes of breathing to sensorimotor aspects of bodily self-consciousness, especially breathing agency. The aim of the research proposed here is, first, to scientifically advance our understanding of human respiration by validating a novel paradigm in healthy subjects, by combining the use of virtual reality (VR), online physiology and cutting-edge neuroimaging techniques. Subsequently, such new methods and findings will be applied to patients suffering from Hyperventilation Syndrome (HVS; i.e. abnormal breathing patterns in the absence of an organic respiratory disease) to gain unprecedented insights into HVS underlying mechanisms. This innovative proposal is intrinsically interdisciplinary and will both benefit the host institution as well as advance the fellow’s academic career. Finally, in line with the public health strategies proposed by Europe 2020, the project findings will increase science-based understanding of HVS and will inform the development of future VR-based rehabilitation in respiration disorders.

Keywords: neuroscience,consciousness,motor control,breathing,agency,exteroception,interoception,virtual reality,neuroimaging,hyperventilation syndrome
Deep learning-based text mining for interpretation of omics data (DeepTextNet)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2023-10-31
Duration (months): 24.0
Total project cost (EUR): 207312.0
EU funding (EUR): 207312.0
Participants: 1
Project status: SIGNED

The academic community and the pharmaceutical industry use omics technologies to produce big data at an incredibly increasing rate but are faced with major challenges when it comes to their interpretation. Key for this interpretation is the association between individual entities, which in a biological context means creating molecular networks. These associations cannot be derived from the omics data alone, but rely heavily on pre-generated networks created by text mining of millions of scientific articles. One of the most popular sources of such networks is the STRING database, which currently serves ~100,000 users monthly. Many of these users work with omics data and a major obstacle, which limits potential benefits for them, is that literature-derived networks are made up of "functional associations", stating only that two molecules do something together, but neither the interaction type nor the direction. Hence, our hypothesis is that state-of-the-art computational approaches will be able to exploit new possibilities in network biology that emerge from big data. The key objective of DeepTextNet is to extract novel information from the biomedical literature on the type and direction of gene/protein associations. Specifically, a new paradigm will be realized by building a next generation text mining technology for relation extraction of molecular interactions that explicitly utilizes deep learning and, in contrast to current methodology, makes use of big data for training as opposed to small manually curated datasets. This new strategy for obtaining comprehensive molecular networks with both type and direction for the interactions is precisely what is currently missing for the interpretation of omics data. We expect the impact to be high and wide, as on top of applying this strategy on omics datasets as part of the project, the new technology will feed directly into STRING, which is used globally and integrated into workflows in both academia and industry.

Keywords: network biology,deep learning,machine learning,text mining,omics data
Population-wide analysis of molecular and metabolic features intrinsic to dormancy variability in single seeds (POP1Seed)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Poland
Call: Widening Fellowships (H2020-WF-03-2020, 2020)
Duration (months): 24.0
Total project cost (EUR): 137625.6
EU funding (EUR): 137625.6
Participants: 1
Project status: CLOSED

Seed physiological quality is pivotal to ensure rapid and homogeneous seedling establishment required for stable yield and is a major economic challenge for the seed industry. Besides germination, vigor and storability or longevity, seed physiological quality also includes seed dormancy, i.e. the seed physiological stage preventing germination even under favorable conditions. While seed dormancy has been widely studied at population level, little has been done at single seed level. However, homogeneous seed lot production is crucial in plant breeding. In seeds, dormancy is mainly regulated by DELAY OF GERMINATION 1 (DOG1), a major Quantitative Trait Locus controlling seed dormancy. DOG1 expression is highly regulated, including by alternative polyadenylation which resulted in the discovery of functional DOG1 protein variant. However, whether this major QTL also regulates individual seed dormancy variability is still unknown. Here, this project combines several cutting-edge technologies such as single seed RNA sequencing analysis and mass spectrometry imaging to Genome Wide Analysis and mutant characterization to unravel novel regulators of single seed dormancy in Arabidopsis thaliana, with the perspectives to be applied on rapeseed. While improving my career prospects and learning from the establishment of international collaborations between the host institute in Poland and the academic partner IBMP-CNRS in France, this project POP1Seed is timely, and responds to expectations of the European Framework programme for Research and Innovation.

Keywords: seed dormancy,individual seed,mass spectrometry imaging,arabidopsis thaliana,brassica napus,metabolic,rna sequencing,genome wide analysis
“Thinking in Images. Herder’s Adrastea from 1801-03 up to nowadays” (TIM-Adrastea)

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: 2017-03-15
End date: 2019-03-14
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

The research project “Thinking in Images. Herder’s Adrastea from 1801-03 up to today” will focus on the notion of thinking in images, which has a non-marginal position in the history of philosophy and science. Thinking in images means to refer, at the same time, to a complex system of forms and meanings, which continually changes itself and never follows a time sequence or a causal order. This is what distinguishes this special form of thinking from the logical sequence, from the reasoning by concepts. Analogies, metaphors, myths are only few examples of the way this ‘visual representation’ works. Such a kind of thinking characterises the children’s thought, mnemonic processes, dreams, mental illnesses, hallucinations; but also, it is possible to find it in the poetry, in mythologies and religions, in mystical visions, as well as in scientific visualisations and in the arts. We will try in this study to clarify the concept of thinking in images and to highlight its value within society and culture. The starting point of the research is one of the most significant authors in the history of philosophy and culture, J.G. HERDER (1744-1803). The researcher’s aim will be to make an Italian translation and a critical edition of the Adrastea (1801-1803), the last and most neglected of HERDER’s works. The researcher will show the importance of this work as regards the author’s position about this topic, thinking in images and will prepare a monography. HERDER edited this magazine the last years of his life and conceived it as a kind of fragmentary encyclopaedia, touching many aspects of the cultural life of his time (from politics to religion, from philosophy to science, from literature and music to esotericism and mystics). From this starting point, researcher will be able to start a multidisciplinary discussion on the topic through the organisation of seminars, workshop and international conferences with the involvement of scholars of different fields of research.

Keywords: thinking in images,imagination,german philosophy,history of culture,history of science,history of the eighteenth century,herder,kant,swedenborg,dreams,memory,myth,weimarer klassik
Researchers' Night: It's Your Friday to Discover! (LT2016)

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: Lithuania,Lithuania
Call: European Researchers' Night (H2020-MSCA-NIGHT-2016, 2016)
Start date: 2016-06-01
End date: 2017-11-30
Duration (months): 18.0
Total project cost (EUR): 140405.75
EU funding (EUR): 140405.75
Participants: 8
Project status: CLOSED

The LT2016 Researchers’ Night projects for 2016 and 2017 will take place in major Lithuanian cities, i.e. Vilnius, Kaunas, Klaipeda, Siauliai and Moletai, as well as in rural areas. The project aims to enhance public recognition of researchers and their work through bringing scientists and public closer to one another and thus increasing an understanding of the impact of researchers' work on citizen's daily life as well as encouraging young people to choose careers in science and research. Both events will offer a broad range of varied activities addressing all categories of the public at large, regardless of age and scientific background, i.e. notably: Meetings and activities together with researchers; Lectures, discussions; Visits to open laboratories; Real life observations and experiments; European corners; Various contests, games, exhibitions, movie and online broadcast watching. All the activities planned will actively involve researchers and will offer a balanced combination of "serious" activities and funny ones to be attractive for the general public. Activities will be hosted in labs, lecture halls, meeting places, cafes, while in the rural areas they will take place in schools or public spaces. Some activities conducted in the main sites will be broadcasted online. Common concept for the Night in 2016 and 2017 will be Learning about Technology Futures. Therefore activities of Researchers’ Night projects in 2016 will be organised with focus on Virtual Reality thus building foundations for the Night in 2017 which will focus of "science futurity" or Futures of technologies. Both events will be finalised with the grand event unifying different fields - music, science and cinema. We expect at least 500.000 people made aware of the Researchers' Night and its objectives through the awareness campaign and 11.500 direct attendees to the various events planned in 2016 as well as in 2017.

Keywords: activities with researcher,main cities and rural areas,science and society,research impact on daily life,public recognition of researchers
Atlantidae: Predators at the Ocean SurfacE as InDicators of chaNge. (POSEIDoN)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-03
End date: 2019-12-03
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

Large-scale ocean changes, including ocean acidification (OA) and ocean warming (OW), are projected to occur over the next 50-100 years as a result of elevated atmospheric CO2. Living close to the atmosphere/ocean boundary, plankton are particularly vulnerable to, but also excellent indicators of these changes. Euthecosome pteropods (small swimming gastropods) have been highlighted as bio-indicators because their delicate aragonite shells are susceptible to OA. However complex feeding behaviours have impeded laboratory experiments on pteropods, limiting research to short term studies. The proposed action will apply an interdisciplinary approach to investigate the past, present and future effects of OA and OW upon the planktonic family Atlantidae, and to evaluate their use as bio-indicators. Atlantid heteropods are also small (max. 14 mm), aragonite shelled, planktonic gastropods that are sensitive to OA and OW. Unlike pteropods, atlantids are predatory and have the potential to be excellent experimental organisms with which to investigate the effects of these surface ocean changes. Atlantids also provide a unique opportunity to investigate the effect of OA and OW at an as-yet unstudied and potentially more sensitive trophic level. The Experienced Researcher has worked with atlantids for >8 years and is one of very few researchers able to identify atlantid species. As such, she is uniquely positioned to deliver the objectives of this interdisciplinary project. The proposed research will provide opportunities for the Researcher to advance her career and skill-set through specialist training and teaching opportunities. The proposed action will improve our appreciation of how surface ocean changes will affect zooplankton and produce high impact data that are relevant to a wide body of marine scientists. The atlantids are also beautiful, charismatic gastropods, and excellent ambassadors for engaging the public and policy makers with current ocean changes.

Keywords: bio indicator,ocean acidification,ocean warming,pteropod,atlantidae,dna barcoding,geometric morphometrics,species boundaries,biogeography,ecological niche modelling,micropalaeontology