Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
NeuroVU: Real-time Sensing in Microfluidic Models of the Neurovascular Unit (NeuroVU)

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: Information Science and Engineering
Countries involved: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-27
End date: 2020-06-26
Duration (months): 24.0
Total project cost (EUR): 185857.2
EU funding (EUR): 185857.2
Participants: 1
Project status: CLOSED

Disorders of the central nervous system are one of the grand health challenges of this century. Therapeutic development, however, remains limited by poor understanding of the brain, including of the neurovascular unit (NVU). The NVU acts as the gatekeeper between blood and brain for metabolites, disease agents, as well as drugs. Much research has relied on animals or simple cell models that recapitulate neither the cellular ensemble nor the environment of the NVU. Emerging Organ-on-Chip microsystems promise to overcome these limitations, but to date fall short on the relevance of cells used and the lack of continuous monitoring capabilities for chemical markers, metabolic conversions, and pharmacodynamics. My objective in this project is to develop the first NVU Organ-on-Chip integrating human-normal cells as well as biophysical and biochemical sensors for real-time monitoring, termed NeuroVU. I propose to rely on primary and induced pluripotent stem cells, which can achieve in-vivo-like properties, and off-stoichiometry thiol-ene-epoxies (OSTE+) as the enabling technologies. OSTE+ is a versatile polymer uniquely suited to supersede the prevalent polydimethylsiloxane/glass paradigm for the innovative system integration approaches needed here. I will first characterize and optimize it for compatibility with biological and sensor components. I will build on these component insights with microsystems integration to develop NeuroVUs featuring co-culture of NVU-normal cells, continuous monitoring of relevant ions & metabolites in addition to trans-endothelial electrical resistance, and tissue-like hydrogel structures. I will leverage collaborations with resident experts in materials and biology as well as my own strong background in microsystems integration to realize this highly interdisciplinary project. Ultimately, the NeuroVU will allow for unprecedented insights on NVU chemistry and has the potential to significantly accelerate pharmaceutical development.

Keywords: organ on a chip,microsystems integration,neurovascular unit,microfluidics,biochemical and biochemical sensors,microfabrication,polymer and hydrogel materials
Development and Application of a New Class of Halogenated Reagents to Commercially Valuable Targets (Halo)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain,Italy,Ireland,Japan
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-01-01
End date: 2020-12-31
Duration (months): 48.0
Total project cost (EUR): 292500.0
EU funding (EUR): 292500.0
Participants: 4
Project status: CLOSED

The aim of this project is to expand upon a newly discovered platform reaction by developing new routes to Active Pharmaceutical Ingredients (APIs) Tolterodine and Ezetimibe and other advanced intermediates for the manufacture of drugs (i.e. benzylic fluorides and alcohols). It is planned that this platform will serve to enhance the competitveness of the European pharmaceutical manufacturing industry as it continues to face increased competition from other economies In order to achieve this aim we need to bring together expertise in (i) Organic Synthesis [Royal College of Surgeons in Ireland, “RCSI”] (ii) Enantioselective fluorination [Nagoya University Japan, “Nagoya”] (iii) Drug development and production [Integrated Research in Biotechnology & Medicine, “IRBM”] To meet the aim we have divided the project into the following work packages: WP1: Development of a new synthesis of Tolterodine. WP2: Scale up of synthesis of Tolterodine. WP3: Development of a new synthesis of Ezetimibe. WP4: Scale up of synthesis of Ezetimibe. WP5: Exemplification of alkoxylation to prepare enantiopure benzylic alcohols API intermediates WP6: Preparation of benzylic fluorides WP7: Management, Training, Dissemination & Communication

Keywords: halogenation,fluorination
The Political Economy of Data: Comparing the Asian Giants (PEDAS)

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-2017, 2017)
Start date: 2018-09-17
End date: 2020-09-16
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Some are now calling the data trails we leave on the internet the “new oil” as tech firms like Google and Facebook become rich extracting, refining and selling this 21st century resource. But this lucrative business model is now being challenged from two directions: (1) a new EU regulation starting in May 2018 which will return ownership of personal data to the user rather than the website (2) computer scientists are developing software for decoupling personal data from the websites used, enabling individuals to control and sell their own data. As the US tech firms now turn to the populous, young, tech-savvy emerging economies for their data, this research documents the effects of these developments in two countries with fast growing online populations: India and Indonesia. It is only by highlighting the repercussions of these changes for the countries with the largest reserves of this new resource that we can avoid a new wave of unequal exploitation – a digital colonialism. This research lays the foundations for a new theory of the international political economy of personal data. It will do so by charting the unintended consequences of the EU regulation on the negotiations between governments, civil society groups and tech firms in India and Indonesia. Will the European concept of “data portability” be adopted by these governments, enabling Asian internet users to gain a bigger share of the value that data generates? It will use a policy network analysis methodology with media research and interviews; evaluate a prototype personal data software for the Asian context; and seed the development of an international research network. By bringing together a researcher on Indonesian politics with mentors who can guide her on the technicalities of personal data software and Indian policy-making, it will not only provide timely input for European policy-makers, but will also produce a new kind of interdisciplinary researcher for the digital age.

Keywords: india,indonesia,asia,personal data,data markets,data portability,eu policy on data ownership,digital economy,human centred computing,digital colonialism,political economy of data
Improving stress memory and salt tolerance in barley (SaToBa)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-27
End date: 2023-09-26
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

The improvement of crop salt tolerance is a pressing agricultural challenge because salt stress poses a major threat to global food supply. The problem is topical in India where salinity-induced yield losses are increasing for several crops. Compelling evidence indicates that repeated stresses provide a memory to increase tolerance, but the mechanisms are not well understood. This project studies the role of jasmonates (JAs) in priming salt stress memory in barley, one of the most important cereals worldwide for food, malt and animal feed. The main objective is to determine how JAs prime plant salt stress tolerance to overcome the limits imposed on growth and yield. The study will enable the effective use of genetics and genomics to improve salt tolerance by 1) determining the correlation between transcriptome and translatome during growth (inhibition) associated with stress adaptation; 2) characterization of the dependency of the responses from epigenetic changes and the uncharacterized barley JAs receptor COI1, and from the ribosome inactivating protein JIP60. The research will characterize, (A) JAs-primed salt stress adaptation; (B) the mechanisms balancing stress adaptation and growth. To achieve the aims, controlled JAs/salt stress will be applied to monitor organ growth. Growth and cell cycle analyses, alongside RNA-Seq, genome-wide analysis of mRNA translation during development and analysis of specific histone markers will be performed. This will demonstrate how poised gene expression and translation work together to set up stress memory. Plant response to salinity and its impact on yield and metabolism will also be analyzed. This multidisciplinary project will enhance the researcher career prospects when returning to India to establish their own lab continuing work in the same area. Overall, the success of this research will be applicable to other economically important crops worldwide with positive impact on the cultivation of crops during climate change.

Keywords: jasmonates,stress priming,salinity,barley,genome wide,crispr,cas9
Time-Programmed Self-Assemblies and Dynamic Materials (TimePROSAMAT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Germany,Germany
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-11-01
End date: 2021-10-31
Duration (months): 60.0
Total project cost (EUR): 1499812.5
EU funding (EUR): 246152.5
Participants: 2
Project status: CLOSED

TimeProSAMAT aims to introduce concepts to program the time domain of self-assembled systems and materials in CLOSED systems under non-equilibrium conditions by controlling the kinetics of assembly and disassembly pathways via (i) modulating the surrounding by feedback systems, (ii) dissipative structure formation and (iii) active structural feedback. After reaching a fundamental understanding on a SA level, we want to capitalize on these enabling SA concepts by providing entirely new and original approaches to dynamic soft materials with internally encoded self-regulation features (similar to a self-destruction mechanism), opening doors to active functionalities and adaptive properties beyond what classical responsive equilibrium SA can offer. Read more about such concepts in the 10th year anniversary issue of Soft Matter: " Approaches to program the time domain of self-assemblies" Soft Matter, 2015,11, 7857-7866

Keywords: responsive materials,non equilibrium systems,hydrogels,self regulation
New neutron techniques to probe bulk heterojunction solar cells with graded morphologies – understanding the link between processing, nanostructure and device performance (NeutronOPV)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-07-01
End date: 2017-06-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

This project’s aim is to contribute to a better understanding of the relationship between processing conditions, active layer morphology and device performance in polymer solar cells (PSC), providing the understanding needed to guide the search for practical processing routes. The secondary aim is to develop new and more powerful characterisation techniques, to study PSCs, using neutrons in particular, and exploiting the potential of powerful and innovative new instruments at the neutron source ISIS, which is a partner on this proposal. These innovative new variants of neutron reflectivity, off-specular scattering and small angle scattering (SERGIS and SESANS), use spin-echo encoding to probe length-scales previously inaccessible by neutron techniques. This work will focus on some of the most recently introduced and highest-efficiency polymers, such as PBDTTT-EFT, PTB7 and PCDTBT, creating thin films for devices both by the laboratory-based spin-coating method and also the industrially-scalable method of spray-coating. The methodology to be used will consist in processing the active layers from mixed solvents with step graded variations in composition, with the main purpose of generating a series of devices with graded variations in morphology. The as-produced active layers will be systematically investigated and compared in terms of morphology, charge mobility and photovoltaic performance; the neutron techniques available at the ISIS Neutron Spallation Source (Didcot, UK) will be complemented with a large suite of conventional laboratory-based techniques available at Sheffield University, and by x-ray scattering, both laboratory based and at synchrotron sources. This mixed solvent approach will be also valuable for scale up, especially by removing the need for halogenated solvents.
Xylella Fastidiosa Active Containment Through a multidisciplinary-Oriented Research Strategy (XF-ACTORS)

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: Research and Innovation actions
Countries involved: Italy,Italy,Germany,Spain,Spain,Spain,Italy,Italy,Italy,Taiwan, Province of China,Belgium,Sweden,Greece,Belgium,Greece,France,United States,Netherlands,Netherlands,United Kingdom,United Kingdom,Portugal,Costa Rica,United Kingdom,Brazil,United Kingdom
Call: Spotlight on critical outbreak of pests: the case of Xylella fastidiosa (H2020-SFS-2016-3, 2016)
Start date: 2016-11-01
End date: 2021-04-30
Duration (months): 54.0
Total project cost (EUR): 6964125.0
EU funding (EUR): 6903000.0
Participants: 36
Project status: CLOSED

XF-ACTORS aims to establish a multidisciplinary research program to answer the urgent need to improve prevention, early detection and control of Xylella fastidiosa (Xf). Recently, Xf was introduced into Italy, where it is causing severe damage to olive crops, and in France, where so far it is limited to ornamental plants and some landscape trees. The overall goal of the research program is to assess Xf potential to spread throughout EU territory, while maximizing its impact through a multifactor approach, based on a seamless integration amongst the 29 partners involved. Proposed actions will be complementary to those carried out under the Project POnTE - 635646, thus ensuring an unbroken continuity with currently ongoing efforts. Specific objectives have been outlined following a step-by-step route, from preventing its introduction into pest-free areas to the establishment of successful eradication strategies in infected zones. Preventive measures against Xf will be strengthened by implementing EU certification programs and developing a plan for establishing a EU Clean Plant Network. EU policy makers will be supported through the development of pest risk assessment tools, focused on current outbreaks and forecasting potentially threatened regions. Surveillance will be properly implemented, supporting the development of early detection tools for field use, remote sensing technology and predictive modelling. Critical information on the pathogen biology, epidemiological traits and hosts under threat, will be gathered with the guidance of the American research groups with long-established research. At the same time, the insect-bacteria interactions will be determined, for developing strategic control measures. The final overall objective is a comprehensive integrated management strategy for diseases associated with Xf, applicable both IPM and organic farming systems, to prevent Xf spread, control its economic, environmental/social impact, when an outbreak would occur.

Keywords: xylella,early detection,prevention,disease management,host pathogen interactions,xylem feeders,vector
Quantifying cyber risk: a computational insurance approach (QCYRISK)

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: Information Science and Engineering
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-05-01
End date: 2022-02-28
Duration (months): 22.0
Total project cost (EUR): 159653.12
EU funding (EUR): 159653.12
Participants: 1
Project status: CLOSED

Quantifying cyber risk is an important step in assigning resources to prevention. Yet data limitations mean that current estimates ignore certain incidents (e.g ransomware), rarely provide the financial cost, and cannot describe how risk varies based on the firm’s revenue or industry. Surprisingly insurers sell cyber insurance for the ignored incident types and vary the price based on firm-specific characteristics. Extracting insurers’ cyber loss models could help firms manage risk, regardless of whether they purchase insurance. The proposed action (QCYRISK) uses an iterative model fitting approach to infer loss distributions from insurance prices. The first research question develops the conceptual foundations by building an economic argument about how much information can be extracted from insurance markets. QCYRISK's second question seeks to infer full cyber loss distributions, including how they vary based on firm-specific characteristics. The final research question adopts an adversarial machine learning approach to probe the validity of the inferences, using both synthetic distributions and real cyber crime data. In terms of results and dissemination, QCYRISK will provide a set of loss distributions for multiple cyber incident types adjusted based on the firm’s revenue and industry. These will be made available as a spreadsheet for real-world risk managers. We will also run a continuing education seminar for insurance professionals to raise awareness about the method. The developed method represents a new computational insurance technique that could be applied to extract information from a global total of €4.7 trillion insurance premiums.

Keywords: cyber insurance,quantifying risk,security economics
Liveable disabilities: Life courses and opportunity structures across time (DISLIFE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Sweden
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2016-02-01
End date: 2021-07-31
Duration (months): 66.0
Total project cost (EUR): 1999870.0
EU funding (EUR): 1999870.0
Participants: 1
Project status: CLOSED

In Europe today disabled people comprise some 65 million (10%). Yet they are marginalized in society and research, and little is known on how disabilities become liveable. This project challenges this bias by proposing to investigate ‘liveable disabilities’ as a function of disability and opportunity structures across time. It analyses four life course dimensions: disabled people’s (1) health and well-being; (2) involvement in education and work; (3) in a partner relationship and family; and (4) in leisure structures. Through this I identify liveable disabilities before, during and after the Swedish welfare state. The results are of significant cross-national interest as they form a useful baseline for what constitutes liveable disabilities, which helps governing bodies maximize opportunity structures for disabled people to participate fully in society. This proposal is unique in employing mixed-methods life course research across time. First, it involves quantitative analysis of Sweden’s long-term digitized population databases, which reflect how disability impacts on people’s educational, occupational, marital and survival chances. The statistical outcome is novel in demonstrating how different impairments intersect with human characteristics relative to society’s structures of the past 200 years. Second, qualitative analyses uncover how disabled people today experience and talk about the above dimensions (1-4) themselves, and how mass media depict them. Third, I make innovative studies of leisure structures, which may promote liveable disabilities. The proposal aims to establish me at the forefront of disability research. It benefits from my scholarship in history and demography and from three excellent centres at Umeå University I am connected to, funded by the Swedish Research Council. One centre researches populations, another gender. The third provides expertise in disability studies and ready access to stakeholders outside academia.

Keywords: disability,cross disciplinary,life course,intersectionality,gender,multi methods,inequality,statistics,populations,structures,databases,welfare,provisions