Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Trinity Long Room Hub Visiting Research Fellows COFUND programme (TLRH-VRF COFUND)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Fellowship programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Ireland
Call: Marie Skłodowska-Curie Co-funding of regional, national and international programmes (COFUND-FP) (H2020-MSCA-COFUND-2015, 2015)
Start date: 2016-06-01
End date: 2020-10-31
Duration (months): 53.0
Total project cost (EUR): 637200.0
EU funding (EUR): 318600.0
Participants: 1
Project status: CLOSED

The Trinity Long Room Hub Visiting Research Fellows Programme will offer opportunities to nine Experienced Researchers from across the spectrum of the Arts and Humanities to spend a fellowship of 12 months duration at Trinity Colleges’ Arts and Humanities Research Institute. This fellowship programme represents a significant enhancement of the offering of the existing fellowship programme operating in the TLRH. The objectives of the programme are to attract high quality international researchers from Europe and all over the world via more attractive employment conditions including an employment contract and via wide and rigorous promotion of the calls while open. The programme will provide fellows with training and networking opportunities that will enhance their career development potential ( via their involvement in the activities of an Interdisciplinary College Research Theme affiliated to the Long Room Hub under which they will be recruited and access to a range of non research related training opportunities via different units in TCD); to identify the relevance of their work for other sectors outside academia including the public ( via the inclusion of a secondment element in the programme and via participation in the public engagement activities of the Long Room Hub) and to provide them with interdisciplinary research opportunities( again via involvement in and exposure to staff active in the Interdisciplinary Research Theme under which they have been recruited). The Interdisciplinary Research Themes involve staff across a TCD schools not only thoseaffiliated to the TLRH (i.e. Computer Science and Statistics, Engineering, Nursing, Social Work and Psychology) that will hopefully stand them in good stead as they seek to expand their academic networks. Finally Trinity College and the Long Room Hub will support the selection of researchers following an open, merit-based and impartial and equitable selection procedure, based on international peer review.

Keywords: arts and humanities research,career development for early career researchers,interdisciplinary networks,inter sectoral secondment,knowledge transfer channels,cultural institutions
Bridging MICroevolution and MACroevolution in sticklebacks (MICMAC)

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: Environment and Geosciences
Countries involved: Switzerland,Canada
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-09-01
End date: 2022-08-31
Duration (months): 36.0
Total project cost (EUR): 251332.2
EU funding (EUR): 251332.2
Participants: 2
Project status: CLOSED

How is biodiversity generated? What are the main factors affecting the emergence of biodiversity and its evolution? To answer these questions, since more than one century, evolutionary biologists have been studying life with two separated approaches: either population biologists tend to study evolution of individuals and divergence of populations below the species level (microevolution), or paleontologists and phylogeneticists are studying the diversification and the extinction of species at a much coarser scale (macroevolution). Only extremely rare studies have permitted to make the link between micro and macroevolution and an integrative approach bridging the two scales is currently lacking. In this project, I propose to study the factors affecting the diversification process (speciation and extinction) and phenotypic evolution (morphology and ecological niche) at the two different evolutionary scales using two datasets: (i) a completely new dataset of 300 three- spined stickleback genomes distributed in more than 100 populations in North America and (ii) a much broader dataset encompassing genomes for each species of the Gasterosteidae family (including sticklebacks) permitting to reconstruct the relationships between species. This project will be composed by two distinct phases: the first phase consists in generating genomic sequences with Next Generation Sequencing and running microevolution analyses with D. Schluter in University of British Colombia (Vancouver, Canada); and the second phase will permit to build a new theoretical integrative framework permitting to explain the bridges between micro and macroevolution with N. Salamin in University of Lausanne (Switzerland). My aim is to strongly stimulate the interactions between the different communities of researchers in evolution, and to promote evolutionary research to a broader audience through public talks in museums and primary/secondary schools.

Keywords: ecology,evolution,diversity,diversification,speciation,extinction,phenotypic evolution,stickelbacks
MRI COntrast using MIcrobubbles in Quantitative SUsceptibility Mapping (MRI COMIQSUM)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-01
End date: 2021-05-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Microbubbles are an established ultrasound contrast agent; detecting them with Magnetic Resonance Imaging (MRI) would open up a wide spectrum of dual-modality applications such as MR-guided focused ultrasound therapies. So far, MRI has been used to qualitatively assess the concentration of microbubbles based on a decrease in the MRI signal magnitude, which is difficult to differentiate from other sources of signal drop-out. In this fellowship, I will exploit quantitative susceptibility mapping (QSM), a novel approach, to detect microbubbles using MRI. QSM uses the phase, instead of the magnitude, of the complex MRI signal, which promises to enhance MRI of microbubbles because phase images have higher contrast-to-noise ratio than standard magnitude images. With the supervision and mentorship of Dr Karin Shmueli, an MRI physicist and internationally recognized expert in QSM, I will investigate the ability of QSM to quantify microbubble concentrations. Collaborating with Prof. Eleanor Stride, a leader in microbubble engineering, I will tailor the susceptibility of microbubbles for different clinical applications so that microbubbles will create bright contrast in susceptibility maps, clearly distinguishable from anatomical structures and image artifacts. This project will enhance the clinical applicability of microbubbles as a dual-modality, MRI and ultrasound, contrast agent. QSM of microbubbles has the potential to improve MRI guidance and monitoring of microbubble-mediated drug, antibody or gene delivery as well as microbubble-enhanced focused ultrasound surgery, which is currently in use for treating uterine fibroids and bone metastases. This fellowship will be a springboard towards widespread diagnostic and therapeutic applications of QSM of microbubbles. The unique training and skills provided by the fellowship will help me to establish my own research group and share the expertise I build in QSM and contrast agents with academic and industrial partners.

Keywords: quantitative susceptibility mapping,microbubbles,magnetic resonance imaging,contrast agent,superparamagnetic iron oxide nanoparticles
Big Data EEG-Analysis for Advanced Personalised Medicine in Depression (PREDICT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 2798450.0
EU funding (EUR): 1958915.0
Participants: 1
Project status: SIGNED

Modern medicine has given us countless methods of understanding, measuring and managing such metrics of our health as temperature, weight, body fat percentage, cholesterol, PSA values, etc. A patient’s measured values are easily compared against well-established normal ranges. And yet a simple, non-invasive method for measuring and quantifying the health of our brains has eluded us. Being unable to accurately measure and compare how a brain functions hinders doctors’ ability to diagnose and treat suspected ailments. It also slows the substantiation of new therapies. And, just as importantly, it prevents each of us from truly understanding and taking ownership of the health of our body’s most important organ. Major Depressive Disorder (MDD) has been identified as the leading and most costly mental disorder, accounting for 33% of the total cost of brain disorders, and equal to 1% of the GDP. Each year, about 7% of the population suffer from MDD in Europe, equivalent to 52.98 million people. The current methods of treatment are prescribed through trial and error with patients rarely receiving the ‘right’ treatment from day one. This reduces response rates and delays remission, which has a heavy impact on the individual’s quality of life. elminda has developed the “PREDICT” tool which predicts responsiveness to antidepressants and TMS treatment, and thus dramatically reduces time from diagnosis to amelioration of symptoms for MDD patients. PREDICT determines personalised treatments for MDD patients based on validated electroencephalogram and event-related potential brain-related biomarkers. The tool predicts responsiveness to antidepressants and TMS treatment, and thus dramatically reduces time from diagnosis to amelioration of symptoms. This improves response rates, quality of life and results in significant savings for the healthcare systems.

Keywords: depression,predictive analytics,antidepressants,transcranial magnetic simulation,neuromarkers,brain network activation,artificial intelligence
Tailored measures supporting energy vulnerable households (EnergyMEASURES)

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: Ireland,Austria,Ireland,Belgium,Bulgaria,Poland,North Macedonia,Belgium,Bulgaria,Bulgaria,Netherlands,Netherlands,United Kingdom
Call: Mitigating household energy poverty (H2020-LC-SC3-EE-2019, 2019)
Start date: 2020-09-01
End date: 2024-02-29
Duration (months): 42.0
Total project cost (EUR): 1995575.0
EU funding (EUR): 1995575.0
Participants: 15
Project status: SIGNED

Between 50 and 125 million people are at risk of energy poverty in the EU. Efforts to address this issue will require a suite of measures informed by participatory and inclusive approaches. EnergyMEASURES will work to address energy poverty in seven European countries (BE, BG, IE, MK, NL, PL, UK) through two complementary and synergistic strands of work. Namely, through direct household engagements that are complemented and informed by cutting edge policy and practice innovations. The first strand will involve working with energy poor households to improve their energy efficiency through a combination of low-cost measures, and changes in their energy-related behaviours and practices. EnergyMEASURES will map out key indicators characterising those most at-risk of energy poverty, and will leverage partners’ ongoing projects and use their existing relationships with energy poor and at-risk households to recruit them for the household energy engagement programmes. Recruited householders will be provided with low-cost energy measures and empowered to change their energy-related behaviours and practices through an approach that is cognisant of existing housing conditions and is reflective of the lived experience of householders. The second strand will comprise working with municipalities, energy authorities, housing associations and other relevant actors to assess how current multi-level institutional contexts affect efforts to alleviate energy vulnerability in the participating countries. These interlinked activities will also consider gender differentials in both people’s relationship with institutional actors and their lived experience of energy, and EnergyMEASURES will work to mainstream this approach across the wider energy poverty community. Through this work the project contributes to reducing participants’ vulnerability to energy poverty, while at the same time cutting household energy consumption and associated GHG emissions.

Keywords: energy behaviour,energy practices,energy policies,behaviour change
Rewiring with biased signaling to override oxidative pathway defects for SEPN1-related myopathy therapy (REBOOST)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-05-01
End date: 2022-04-30
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: CLOSED

SEPN1-related myopathy (SEPN1-RM) is a rare, untreatable debilitating congenital myopathy in which SEPN1 mutations impair the antioxidant system, ER stress protection and mitochondrial oxidative function. These altered cellular processes ultimately lead to a significant loss of bioenergetic production and abrogate muscle cellular functions. SEPN1-RM patients experience potentially-lethal respiratory failure and major life burden due to loss of mobility. Currently, there are no high-throughput or appropriate preclinical models to facilitate identification of disease-modifying drugs; this has hampered efforts in devising therapeutic strategies. To overcome these bottlenecks, I aim to use patient-derived cells to establish (1) high-throughput measureable readouts of metabolism, facilitating repurposed drug screen for SEPN1-RM; (2) an original treatment strategy by exploiting potential biased signalings, which bypass SEPN1 defects to restore cellular bioenergetics. I will capitalize on (1) the availability of SEPN1-RM biopsies, (2) host lab expertise for handling and culturing primary SEPN1-RM cells and (3) my experience in muscle biology and innovative tools for analysing metabolic/signalling pathways. I aim to implement transcriptomic analyses by using next-generation RNA-seq, optogenetic based sensors to quantify metabolic activity, real-time clonal analysis of cell fate with dynamic fluorescent time-lapse microscopy and multi-dimensional assessment of intracellular activities at single-cell level via CYTOF technology. This study will not only facilitate the establishment of SEPN1-RM biomarkers and novel therapeutic studies, it will also provide a model paradigm for analysing and treating other inherited or acquired myopathies sharing an underlying bioenergetic deficiency, including sarcopenia and cancer cachexia.

Keywords: congenital myopathy,bioenergetics,oxidative stress,biomarker,high throughput screen
An EU-wide farm network demonstrating and promoting cost-effective IPM strategies (IPMWORKS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Coordination and support actions
Countries involved: Germany,Spain,Spain,Spain,Ireland,Italy,Italy,Spain,Germany,Finland,Sweden,Greece,Switzerland,Poland,Serbia,Belgium,Belgium,Slovenia,France,France,France,France,Netherlands,Denmark,United Kingdom,United Kingdom,United Kingdom,Portugal
Call: Stepping up integrated pest management (H2020-SFS-2020-1, 2020)
Start date: 2020-10-01
End date: 2024-09-30
Duration (months): 48.0
Total project cost (EUR): 6000005.0
EU funding (EUR): 6000005.0
Participants: 34
Project status: SIGNED

Integrated Pest Management (IPM) is based on a diversity of pest management measures (prevention, non-chemical control, best practices for optimizing pesticide efficiency, etc.). These are combined at the farm level to enable reduced reliance on pesticides, and therefore a decrease in the exposure of the environment and people to pesticides. Rare pioneer farmers throughout Europe are testing such IPM strategies and are succeeding in achieving good outcomes with low pesticide inputs. However the majority of European farmers still rely heavily on pesticides, with major environmental and societal impacts, because most of them have not adopted a comprehensive, farm-level and holistic IPM strategy so far. The objective of IPMWORKS is to promote the adoption of IPM strategies, based on a EU-wide network of farmers, who will both progress further in the adoption of IPM – through peer-to-peer learning and joint efforts – and demonstrate to other farmers that holistic IPM “works”; i.e. allows a low reliance on pesticides with better pest control, reduced costs and enhanced profitability. IPMWORKS will coordinate existing networks promoting IPM and launch new hubs of farms in regions or sectors where IPM pioneers are not yet engaged in a relevant network. Advisors coordinating hubs will have a major role in facilitating knowledge sharing, coaching farmers to find their own IPM solutions, and organising local demonstration activities. IPMWORKS will stimulate access to the ‘IPM Decisions’ platform and provide information on the IPM methods. It will collect data for comparing IPM strategies, and share results and dissemination material through channels widely used by farmers, broadcasting IPM success stories. It will organise training, and produce training material, targeting both farmers outside the network and advisory services, in order to prepare for the future dissemination of the peer-to-peer learning approach and the general adoption of IPM throughout the EU.

Keywords: knowledge sharing,peer to peer,sustainability,pesticides,farm,farmers,advisors,holistic,system,co innovation,agroecology,economics,horticulture,vegetables,viticulture,fruit trees,field crops
Enterprising Students Accreditation Platform for Europe (EU ESA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: United Kingdom
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2015, 2015)
Start date: 2015-10-01
End date: 2016-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The Enterprising Students Accreditation (ESA) is a programme that has run for three years in the UK and has grown to now involve over 110,000 students annually. At present it is based on a simple online platform with limited functionality. Through the building of our European network we have identified a clear business opportunity to build a pan-European ESA network with programmes managed locally in each country. This project is centred on designing, testing and building a new ESSA Platform with increased functionality, capabilities and localisation. This will greatly increase revenue generation both centrally and for local partners, beneficially impact on youth unemployment, create a large student-specific network and positively contribute to our access to talent, profile and ultimately our position as a European seed finance venture fund. To achieve this we now need to apply focus to testing our model, validating the practical and financial feasibility and widening our EU awareness.

Keywords: enterprise education,technology innovation,eu expansion
INNOVATION, FIRM DYNAMICS AND GROWTH: what do we learn from French firm-level data? (IFDG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: France
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-09-01
End date: 2023-08-31
Duration (months): 60.0
Total project cost (EUR): 1968588.0
EU funding (EUR): 1968588.0
Participants: 1
Project status: SIGNED

This research project will confort theory and data to deepen our understanding of the mechanisms and policies of innovation, and the relationship between innovation, growth and social mobility. The underlying framework is the Schumpeterian theory of economic growth, where: (i) growth is generated by innovative entrepreneurs; (ii) entrepreneurial investments respond to incentives that are themselves shaped by economic policies and institutions; (iii) new innovations involves creative destruction. This project will explore new extensions of the Schumpeterian growth paradigm together with new firm-level and individual datasets to analyze the following questions : (a) the measurement of productivity growth and the extent to which measured TFP growth factors is correctly accounting for new innovation; (b) the relashionship between innovation and trade and more specifically the causal links from export and import to innovation, and the main channels through wich export and import affect innovation; (c) the effect of fiscal and institutional changes on entrepreneurship: in particular, how recent changes in the French legislation on self-employement have affected individual incentives to become self-employed, and differently so for different social or regional groups of individuals; (d) the relationship between creative destruction, inequality, and wellbeing: in particular, how does creative destruction (mesured by job or firm turnover) impact on social mobility (e.g measured by the probability of making it to top income brackets conditional upon a low initial income or a low parental income) and health. This approach can shed new light on important aspects of the growth process such as: the middle income trap, secular stagnation, the recent rise in top income inequality, and firm dynamics. Moreover, the paradigm can be used to think (or rethink) about growth policy design.