Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A new translational strategy for tailored treatment of type 2 diabetes (TRANSLATIONAL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Sweden
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 1957230.0
EU funding (EUR): 1957230.0
Participants: 1
Project status: SIGNED

Type 2 diabetes (T2D) is an escalating health problem of enormous proportions. Current treatment strategies are unable to stop disease progression and prevent the devastating complications. Clinical guidelines emphasise the need for personalized treatment. However, this is currently implemented on trial-and-error fashion. We have recently found that T2D patients can be divided into four clusters, each with different characteristics. This represents a major step forward by pointing out the high variability of the pathophysiology and leads us to propose that anti-diabetic treatment should ideally target the underlying pathophysiology of each patient. The overall goal is to test this proposition by targeting existing and new treatment to patients who are archetypes of the two most severe T2D clusters, characterised by poor insulin secretion and pronounced insulin resistance, respectively. As a starting point, we will study how treatment response to existing drugs is influenced by pathophysiological features and also the gut microbiota. Next, we will expand on our recent demonstration that b-cells dedifferentiate in T2D and define the functional and gene expression changes that cause secretory failure. These mechanistic insights will be used to identify new targets for b-cell preservation, which is essential to stop disease progression, in particular in patients with poor secretion. Finally, we will study new compounds for tailored treatment, including sulforaphane as an early intervention for those with severe insulin resistance. My combined training in cell-physiology, bioinformatics and clinical medicine is unusual but necessary to conduct this multi-disciplinary programme. Whilst the programme builds firmly on my past research, it extends far beyond what I have attempted previously by exploiting novel state-of-the-art methodology to address central metabolic questions of high relevance to understand the causes, management and – ultimately – prevention of diabetes.

Keywords: diabetes,type 2 diabetes,insulin secretion,personalized treatment,pancreatic islet
Towards understanding non-canonical phosphatidylinositol kinases in the maintenance of prostate metabolism. (PCAPIP)

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-2017, 2017)
Start date: 2018-06-01
End date: 2020-05-31
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

As a result of it’s specialized secretory functions, the prostate has a unique biology that makes it prone to the development of cancer. Specifically, a strong dependence on hormonal stimulation through the androgen receptor (AR) pathway that is implicated in driving downstream changes to the central metabolism of the cell. To find answers to clinical questions, I am delving into the fundamental mechanisms of a previously overlooked family of lipid kinases. The type II phosphatidylinositol-5-phosphate 4-kinases (PI5P4Ks) are responsible for regulating a proportion of phospholipid species found embedded in the membranes of various cellular organelles. Intricate differences of the composition of these membranes can have a major effect on the regulation of cell cycle, metabolite trafficking, growth and survival. Herein, I outline a basic examination of the PI5P4Ks that will establish the first understanding of their phenotypic importance in prostate cells. There is reason to believe that these enzymes are critical regulators of the AR pathway that may be a trafficking conduit for changes to AR regulated metabolites. To test this, I am generating the first prostate-specific PI5P4K knock-out mouse model. A state-of-the-art metabolomic evaluation of both this animal model and a collection of human cell models will uncover the ultimate relevance of the PI5P4Ks in prostate biology. The proposed study will provide valuable insights into a non-canonical family of kinases that could lay the groundwork their development as novel drug targets.

Keywords: prostate biology and cancer,mouse model,kinase,androgen signaling
Disentangling amygdala contributions to replay-mediated, hippocampal-dependent memory consolidation (VALENCE-REPLAY)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-15
End date: 2019-10-14
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

In today’s societies, adequate rest takes second place to busy professional and personal schedules. It is known that lack of rest and sleep affects mental health, emotional regulation and daytime function. Such symptoms translate to increased healthcare costs and losses in workplace productivity. How emotional regulation processes interact with sleep and associated memory consolidation functions is not well understood. In addition to increasing basic understanding of brain function, addressing this knowledge gap can help shape therapeutic approaches for mental wellbeing and contribute to EU’s H2020 goals of smart, sustainable and growth. VALENCE-REPLAY will provide a building block towards addressing this knowledge gap through experiments in behaving rodents. The questions to be addressed in this fellowship are: Are memory consolidation processes during sleep preferentially shaped according to the valence of prior experience? If this is so, how is this accomplished at a mechanistic level? The work will use modern electrophysiology and optogenetic techniques to probe functional interactions of brain areas that mediate emotion (amygdala) and memory (hippocampus) and the role of these interactions in memory replay and consolidation during sleep. The project will also lead to fabrication of a new tool, parylene-based multisite neuronal recording probes that will permit tracking single neuron activity from the ventral hippocampus for adequate lengths of time to address the outlined research goals. The fellowship will shed light on how emotions shape memory processes during sleep, but will also afford a committed and experienced researcher the opportunity to acquire advanced training at leading European neuroscience institutes while forming a strong scientific network with leaders in the field. Through VALENCE-REPLAY, Dr Perentos will develop into an independent researcher, able to lead his own research group and achieve high impact research in systems neuroscience.

Keywords: neuronal ensembles,single neuron recordings,optogenetics,memory consolidation,sleep,replay
Prefabrication, Recyclability and Modularity for cost reductions in Smart BIPV systems (PVadapt)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Innovation actions
Countries involved: Austria,Ireland,Spain,Italy,Spain,Austria,Germany,Greece,Greece,Norway,Greece,Belgium,France,United Kingdom,United Kingdom,Portugal
Call: Demonstrate significant cost reduction for Building Integrated PV (BIPV) solutions (H2020-LC-SC3-2018-RES-SingleStage, 2018)
Start date: 2018-10-01
End date: 2022-03-31
Duration (months): 42.0
Total project cost (EUR): 11067125.0
EU funding (EUR): 8978433.75
Participants: 19
Project status: TERMINATED

The building integrated photovoltaics sector can benefit from innovations in construction and solar energy alike, even moreso when the two are in sync. In the PVadapt project, combined innovations in modular construction and modular photovoltaics will lead to the creation of an adaptable and multifunctional BIPV system of substantially lower cost than conventional solutions. A flexible and low cost production of photovoltaics in automated processes will be employed to produce PV modules as well as elements with integrated heat pipe based heat recovery. These active energy components will be combined with passive and sustainable components with structural, mechanical, thermal and other functions to produce prefabricated BIPV modules. Prefabrication will be the key to achieving cost reductions, as well as guaranteeing quick installation with low disruption. The project will also employ a sustainable by design philosophy with all the parts of the system being recyclable/ reusable and waste based raw material supply chains will be established. A Smart Envelope System featuring grid connectivity, load prediction and shifting and intelligent energy management systems with predictive algorithms will be integrated in the PVadapt turn key BIPV system. To convincingly demonstrate the PVadapt solutions, 7 buildings of various typologies (residential, commercial, 2 offices, and 3 service stations in Spain, Greece and Austria) will have the technology installed and one new 288m2 floor space construction will be built in Portugal with a total of 464kW installed. The LCOE values will be below 2ct/kWh and the cost of the BIPV module will be below 200 euros per m2 and payback below 10 years. In these sites, the PVadapt technologies will be installed in flat and pitched roofs, as wall replacements and facades and shaders, demonstrating the holistic approach to BIPVs, improving their entire life cycle.

Keywords: modular construction,silicon photovoltaics,prefabrication,sustainable,circular by design,smart envelope,grid connectivity,lightweight,heat recovery
Shelf.ai - Holding back Amazon and Google from the global grocery retail market (Shelf.ai)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Portugal
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2018-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Enabled by Xarevision, a company with over 10 years 'experience working on retail-oriented solutions for large players, Shelf.ai is a cutting-edge technology that brings artificial intelligence and conversational commerce capabilities to brick & mortar food retailers, allowing them to foster omni-channel strategies, rapidly increase online sales and pioneering next wave of customer e-shopping experience. With Shelf.ai, customers can build their shopping carts just by saying the products and quantities they wish to their smartphones, and select the ones they prefer, proceeding immediately to check-out. Through direct integration with the retailers’ back-end systems (including product ranges, customer purchase information and payment platforms), Shelf.ai allows customers to see full details of each product, while employs AI algorithms in order to continuously improve the system by learning about customers’ preferences. Shelf.ai’s technology allows an overall reduction up to 90% of the time required from login to filling up the online shopping cart, providing the easiest, coolest and fastest online grocery shopping experience ever seen. Moreover, Shelf.ai positions itself as a hardware-agnostic platform (working through Smartphones, Amazon Alexa, Google Home, Facebook Messenger and others) that allows brick & mortar retailers to fight back the fast and disruptive penetration of giant online platforms (Amazon and Google) in the global grocery retail market. Shelf.ai will focus primarily on world-class food retailers, expecting to reach in these segment alone an annual turnover of Euro 45 Million. Shelf.ai has been already tested and demonstrated in a relevant environment (namely in Euroshop 2017) delivering highly effective results that have been gathering the attention of some key players. Notwithstanding, there are still works to be done in the short-term, in order to assure a pathway to a successful market uptake, namely the set-up of a detailed Business Plan.

Keywords: grocery online shopping,mobile e commerce,voice recognition,artificial intelligence,conversational,interface,machine learning,ai powered deep knowledge
Standing by: Pro-social Bystander Reactions to Online Political Hostility (STANDBY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Denmark
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1995461.0
EU funding (EUR): 1995461.0
Participants: 1
Project status: SIGNED

Online political hostility, such as online hate speech, constitutes a challenge to democracy through negative effects on political participation. The challenge is amplified by widespread apathy among witnesses. While research within political science has focused on the aggressors and explored how politically hostile behavior develops, much less attention is given to bystanders and the potential of pro-social bystander reactions to mitigate the negative impact of online political hostility. This project advances a new research agenda, shifting focus from explaining the anti-social behavior of online political hostility to explaining pro-social bystander reactions and their consequences. Advancing the social-psychological study of bystanders, the project develops a new inter-disciplinary theory of pro-social bystander reactions, theorizing bystander decision-making in the context of online political hostility, and its short- and long-term consequences. In addition to theoretical innovation, the project breaks new methodological ground by combining survey and behavioral experiments with a longitudinal design, and developing an innovative methodology for bystander research: The Immersive Bystander Video Environment. The key empirical contributions of the project are to ground this new research agenda in real-time observations and first-hand experiences of bystander reactions to political hostility; to conduct a series of innovative survey and behavioral experiments, exploring the causes and consequences of pro-social bystander reactions; and to establish proof-of-concept as to which interventions can encourage pro-social bystander reactions. The project is unique in its scientific ambition: it addresses the challenge to democracy from online political hostility by turning attention to the unexplored role of bystanders in mitigating its immediate negative impact, and in longer-term prevention by strengthening norms of civility in political interactions.

Keywords: online political hostility,pro social bystander reactions,bystander effect,hate speech
Pathways towards forming super-massive black holes in the early Universe (SmartStars)

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: Ireland
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-03
End date: 2018-10-02
Duration (months): 24.0
Total project cost (EUR): 187866.0
EU funding (EUR): 187866.0
Participants: 1
Project status: CLOSED

Many questions remain unanswered regarding the origin and evolution of Black Holes (BHs). One such question concerns how BHs with masses of one billion times the mass of the sun could exist less than one billion years after the Big Bang? How could these objects grow so massive so quickly? Explaining their existence remains one of the grand challenges in astrophysics. The ‘direct collapse’ mechanism provides a compelling solution: if unusually massive stars can form early in the Universe producing large seed BHs (M >= 10000 Msun ) then the existence of massive BHs at early times can be explained. During this fellowship, hosted at Dublin City University (DCU), I will develop, in collaboration with Prof. Downes, novel and innovative techniques (smart star particles (SSPs) - see part B) which will spearhead further development of the direct collapse scenario. My BH expertise will be matched with the expertise in star formation modelling of Prof. Turlough Downes resulting in a unique inter-disciplinary collaboration. This research will allow the direct collapse mechanism to be fully tested, compared against current observational results and used to guide upcoming missions. The SSPs will contain algorithms designed to capture the essential physics of black hole seed formation. Their function will be to allow us to probe the nature of the central object - does a super-massive star form, or perhaps a quasi-star, or does fragmentation dominate resulting in the formation of stellar mass black holes? Answering these questions will allow us to prepare more thoroughly for upcoming missions. In this regard the research proposal is extremely timely, given recent observational progress, where a Lyman-alpha source has been discovered within a metal free region at very early time. The detailed results we will produce will be used to guide and interpret current and future observational campaigns including Chandra (XRay), JWST (infrared), SKA (radio) and Athena (Xray).

Keywords: black holes,star formation modelling,computational cosmology,cosmology,first galaxies
European e-Infrastructure for Extreme Data Analytics in Sustainable Development (EUXDAT)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Spain,Austria,Greece,Switzerland,France,Czechia,Czechia
Call: Platform-driven e-infrastructure innovation (H2020-EINFRA-2017, 2017)
Start date: 2017-11-01
End date: 2020-10-31
Duration (months): 36.0
Total project cost (EUR): 2999062.5
EU funding (EUR): 2999062.5
Participants: 10
Project status: CLOSED

Agriculture is a, literally, vital industry. Not only important for nourishment, but also a key determiant of health, economic and political stability; employment; business and biological ecosystems; and society. Because of its importance, most attention focuses on productivity but it is essential to have a global view in order to address environment sustainability problems. EUXDAT proposes an e-Infrastructure, which addresses agriculture, land monitoring and energy efficiency for a sustainable development, as a way to support planning policies. In order to do so, we need to address the problems related to the current and future huge amount of heterogeneous data to be managed and processed. EUXDAT builds on existing mature components for solving them, by providing an advanced frontend, where users will develop applications on top of an infrastructure based on HPC and Cloud. The frontend provides monitoring information, visualization, different parallelized data analytic tools and enhanced data and processes catalogues, enabling Large Data Analytics-as-a-Service. EUXDAT will include a large set of data connectors (UAVs, Copernicus, field sensors, etc.), for scalable analytics. As for the brokering infrastructure, EUXDAT aims at optimizing data and resources usage. In addition to a mechanism for supporting data management linked to data quality evaluation, EUXDAT proposes a way to orchestrate tasks execution, identifying whether the best target is a HPC center or a Cloud provider. It will use monitoring and profiling information for taking decisions based on trade-offs related to cost, data constraints, efficiency and resources availability. During the project, EUXDAT will be in contact with scientific communities, in order to identify new trends and datasets, for guiding the evolution of the e-Infrastructure. The final result of the project will be and integrated e-Infrastructure which will encourage end users to create new applications for sustainable development.

Keywords: cloud,open data,agriculture,land monitoring,data analytics
An international, multi-disciplinary, multi-sectoral training network on ageism (EuroAgeism)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Ireland,Austria,Israel,Belgium,Finland,Poland,Sweden,Belgium,Switzerland,Czechia,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-11-01
End date: 2022-04-30
Duration (months): 54.0
Total project cost (EUR): 3879540.72
EU funding (EUR): 3879540.7199999997
Participants: 16
Project status: CLOSED

Europe has the largest percentage of older adults worldwide. Yet, there is a high prevalence of ageism; the complex and often negative construction of old age, in society at large, and among researchers and practitioners in particular. In contrast to the wide prevalence of ageism, the majority of research, to date, has targeted racism and sexism and neglected to address ageism. A similar neglect is found on the policy side, as age is still not an explicit part of a U.N. declaration of human rights. To address these shortcomings, EuroAgeism is focused on harmonising different theoretical and methodological disciplines in the field of ageism. It aims to bring together science and policy by creating an opportunity for a true dialogue that will allow graduates of the program to capture positions as scientists, educators, science advisers, policy advocates, lobbyists, or legislators in the field of ageism. EuroAgeism will advance the field by delivering an attractive multi-disciplinary (social science, health science, engineering, and design), inter-sectorial (academia, healthcare, non-governmental, inter-governmental, and governmental organizations), international (North, East, and Central Europe, Middle East, Pan-European, and international) research, training and supervision program on ageism. The proposed research is a direct response to the European Commission's Active and Healthy Ageing initiative, with an overarching goal to improve the quality of life of older people. By pursuing15 research projects, we aim to achieve the following goals: a) explore ways to improve the active participation of older adults in the workforce; b) address ageism in relation to access to goods and services, and c) promote an age-friendly society, which helps older adults to realize their full potential. EuroAgeism is dedicated to dissemination of the findings to policy stakeholders and the general public to decrease ageism in everyday life, in clinical and in social practice.

Keywords: ageism,intergenerational solidarity,equality,discrimination