Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Improving Safety and comfort for kidney transplanted patients by enabling Accurate therapeutic drug monitoring through quantitative Capillary home Sampling (ISACS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Capitainer AB aims to develop a business plan for the broad-scale commercial launch of Capitainer-B – an innovative tool for quantitative blood microsampling. For kidney transplant patients, a new organ eliminates the need of frequent dialysis and improves the quality of life, but to prevent rejection of the new organ by the patient’s own immune system, lifelong treatment with immunosuppressive drugs is necessary. To ensure that the concentration of drugs remain within their therapeutic windows, drug levels are continuously measured through blood testing after transplantation: TDM - Therapeutic Drug Monitoring. Traditional phlebotomy at the hospital consumes substantial resources from the healthcare system and for patients, frequent visits to the hospital/test station is a source of inconvenience. As such, the development of an accurate “use-at-home” blood sampling tool that can alleviate this heavy burden is in great demand. Filling this market gap, Capitainer AB proposes Capitainer-B - a portable, cost effective and easy-to-use microsampling system which enables the patient to take a blood sample at home through a finger prick. The sample can be sent via regular mail to the laboratory for analysis. Our design philosophy was to create a reliable and easy to use tool for monitoring drug concentrations in blood, thereby reducing the risk of organ refusal. From the business perspective, Capitainer-B expands into the market space delineated by the variables of volume accuracy, patient proximity, mobility and low cost. The device has already attracted attention of one EU-based medical centre in Germany (Labor Dessau GmbH) which resulted in a research partnership and low scale sales. In this Phase 1 Project, Capitainer AB intends to prepare a multispectral market feasibility assessment for Capitainer-B. Furthermore, we plan to study the market capacity for the further Capitainer-B-type devices, aiming at providing a comprehensive blood testing platform.

Keywords: microsampling,dry blood spot method,haematocrit independent,use at home,cold chain independent
Weaponizing Social Housing in Medellín and Rio de Janeiro (Social Housing)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Netherlands,United States
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-02-01
End date: 2024-01-31
Duration (months): 36.0
Total project cost (EUR): 253052.16
EU funding (EUR): 253052.16
Participants: 2
Project status: SIGNED

State-subsidized housing programs have improved the livelihood of low-income populations in Latin American cities for decades. Once inhabited, however, they do not succeed in guaranteeing these populations’ safety. When residents are rehoused from informal settlements controlled by organized criminal groups, these groups sustain influence in formalized housing complexes. What is more, new dynamics such as housing financialization increase residents’ exposure to criminal actors. This project explores such ‘weaponization’ of social housing by comparing governance arrangements between state, market and criminal actors in formal social housing condominiums to those in informal settlements. Utilizing a two-by-two ethnographic comparison, based on case studies of one informal settlement and one condominium in both Rio de Janeiro and Medellín, the project will investigate 1) how state actors redefine social housing in terms of governmental influence and private property logics; 2) how gangs and militias gain and exert control over infrastructure and (protective) services; 3) how residents protect themselves against diverse, gendered forms of violence. The Weatherhead Center for International Affairs at Harvard University (HU), with its renowned interdisciplinary expertise in urban governance, crime and planning provides an ideal training context for fieldwork activities and supervision (Prof Davis) of the project’s theoretical development. By bringing the Latin American perspective on the relationship between crime and housing into direct conversation with HU’s and the University of Amsterdam's research in North America and Europe, this project develops a transferable approach to urban sovereignty in the global North and South as decisive step towards an ERC Starting Grant proposal. Through dissemination of the gained knowledge, the project will bridge policy expertise between housing and crime, and support local advocacy groups’ interaction with authorities.

Keywords: informality,security,social housing,organized crime,urban governance,resettlement,latin america
Advanced functional polymer colloids with high photo-oxidative properties (APOCOLIPS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-06-01
End date: 2023-07-15
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: TERMINATED

APOCOLIPS aims to develop advanced functional polymer colloids with high photo-oxidative properties. Two promising applications have been envisaged for these materials: 1) to develop efficient self-disinfecting and antimicrobial resistant polymer films and 2) to design stable colloidal dispersions for photo-oxygenation of organic molecules for fine chemicals production. One of the most innovative aspects of the proposed research is that it targets the preparation of advanced polymer coatings integrating organic photosensitizer (PS) via covalent bonding by implementing a straightforward, industrially viable and safe process. Another innovation of APOCOLIPS is to combine the key advantages of flow photochemistry with the ones of supported PS to develop stable submicronic photo-active polymer colloids which can be easily transported by the continuous phase in the microfluidic devices, while being recycling. The final goal of the two-year fellowship is to advance and diversify the competences of Dr. Aboudzadeh both as a researcher and as a future leader in the field of polymer materials for a sustainable world. APOCOLIPS is highly multidisciplinary combining polymer chemistry, polymer physics, photochemistry, microbiology, chemical engineering and green chemistry. The fellowship will bring together the knowledge of Dr. Aboudzadeh, who recently obtained his PhD degree in polymer materials from Spain, with those of Dr. Save (project supervisor) in polymer chemistry and the skills of Dr. Lacombe in photochemistry. Moreover, the project benefits from a national collaboration with Dr. Loubière from LGC (Toulouse) with strong experiences in continuous flow photochemistry. The host centre is CNRS that boasts outstanding facilities and excellent contacts with industry. Finally APOCOLIPS brings about the fellow a three-month international and interdiciplinary secondment (Ulster University, UK) under supervision of Prof. Fernandez-Ibañez, an expert in disinfection technologies.

Keywords: polymer colloids,singlet oxygen,photosensitizer,antimicrobial resistance,continuous flow,technologies,self disinfecting
Robust statistical methodology and theory for large-scale data (RobustStats)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: United Kingdom
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2050068.0
EU funding (EUR): 2050068.0
Participants: 1
Project status: SIGNED

Modern technology allows large-scale data to be collected in many new forms, and their underlying generating mechanisms can be extremely complex. In fact, an interesting (and perhaps initially surprising) feature of large-scale data is that it is often much harder to feel confident that one has identified a plausible statistical model. This is largely because there are so many forms of model violation and both visual and more formal statistical checks can become infeasible. It is therefore vital for trust in conclusions drawn from large studies that statisticians ensure that their methods are robust. The RobustStats proposal will introduce new statistical methodology and theory for a range of important contemporary Big Data challenges. In transfer learning, we wish to make inference about a target data population, but some (typically, most) of our training data come from a related but distinct source distribution. The central goal is to find appropriate ways to exploit the relationship between the source and target distributions. Missing and corrupted data play an ever more prominent role in large-scale data sets because the proportion of cases with no missing attributes is typically small. We will address key challenges of testing the form of the missingness mechanism, and handling heterogeneous missingness and corruptions in classification labels. The robustness of a statistical procedure is intimately linked to model misspecification. We will advocate for two approaches to studying model misspecification, one via the idea of regarding an estimator as a projection onto a model, and the other via oracle inequalities. Finally, we will introduce new methods for robust inference with large-scale data based on the idea of data perturbation. Such approaches are attractive ways of exploring a space of distributions in a model-free way, and we will show that aggregation of the results of carefully-selected perturbations can be highly effective.

Keywords: 62d10 missing data,62f35 robustness and adaptive procedures,62g05,nonparametric estimation,62g35 nonparametric robustness,62h30,classification and discrimination,cluster analysis
Mosquito Antiviral piRNA Pathway (MAPP)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Mosquitoes transmit several medically and economically important ARthropod-BOrne (arbo)viruses to mammals (including humans), such as dengue virus and chikungunya virus (CHIKV). Unlike infection in their mammalian host, infection in their arthropod vector is apathogenic and persistent due to the interplay between the virus and the innate immune responses. The main antiviral mechanism in mosquitoes is the sequence specific RNA break down mechanism- RNA interference (RNAi), specifically the 21 nucleotide (nt) long small interfering (si)RNAs are considered to play a key role; however, siRNAs are not likely to be essential for the establishment of persistent viral infection. Recently small RNA molecules derived from different pathway have been reported to have an antiviral role in aedine mosquitoes and derived cell lines: PIWI interacting (pi)RNAs (24-29 nt). Persistent infection ensures that mosquitoes remain infectious and if piRNAs control this process, they could play a key part in regulating subsequent arbovirus transmission to humans. Little is known about the piRNA pathway in mosquitoes and even less about its interaction with arbovirus infections. Most of the work has focused on the identification and analysis of (viral specific) small RNAs (siRNA and piRNAs) in infected mosquitoes, but little on the proteins and the protein-RNA interactions involved in these processes. The proposed research project will use a multidisciplinary approach that involves molecular virology with CHIKV, quantitative proteomics, RNA sequencing and knock down experiments in Aedes aegypti derived cells and mosquitoes to comprehensively understand for the first time the piRNA pathway, its involvement and importance to regulate arbovirus infections in aedine mosquitoes. The findings will extend our knowledge on the interactions between arboviruses and their mosquito vector and generate information that could be used in novel disease-spread control strategies.

Keywords: rna interference,pirna,arbovirus,proteomics,rna sequencing
Millet and beans, language and genes. The origin and dispersal of the Transeurasian family. (Eurasia3angle)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2021-02-28
Duration (months): 66.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: CLOSED

The question about the origin and dispersal of the Transeurasian languages (i.e. Japonic, Koreanic, Tungusic, Mongolic and Turkic) is one of the most disputed issues in linguistic history. Eurasia3angle will address this question from an interdisciplinary perspective. My key objective is to effectively synthesize linguistic, archaeological and genetic evidence in a single approach, for which I use the term "triangulation". To this end, my project will bring together a highly qualified interdisciplinary team of doctoral and postdoctoral researchers along with world-eminent experts, who will focus on testing the Farming/Language Dispersal Hypothesis for the Transeurasian languages. The FLDH attributes the dispersal of some of the world's major language families to the adoption of agriculture and subsequent population expansion, whereby the language of new farmers displaced that of preexisting hunter gatherers. In contrast to its application to the major language families in East Asia, the FLDH has not been tested yet for the Transeurasian languages. My research team will specifically investigate the hypothesis that the Transeurasian languages derive from a homeland in South Manchuria and that their early dispersal should be associated with the spread of cultivation of millet and beans. For this purpose, we will use advanced techniques recently introduced to the individual disciplines, such as the application of phylogenetic methods to linguistic classification, a focus on derivational morphology in the reconstruction of subsistence-related language, a matrix-based comparison of archaeological cultures and a model-based approach applied to genome-wide autosomal data. Converging these partial perspectives into a more holistic understanding of what really happened in the past is quite a challenge. However, if successful, this research will be a break-through in the investigation of human prehistory in general and in the long-standing Transeurasian debate in particular.

Keywords: computational phylogenetic linguistics,palaeolinguistics,palaeobotany,autosomal dna,triangulation,farming,language dispersal,transeurasian,altaic,japanese,korean,tungusic,mongolic,turkic
Large Format Textile Printing (LaForte)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Italy
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-2-2015, 2015)
Start date: 2015-07-01
End date: 2016-12-31
Duration (months): 18.0
Total project cost (EUR): 1274950.0
EU funding (EUR): 892465.0
Participants: 1
Project status: CLOSED

Our company, ALEPH, was founded in 1999 (Lurate Caccivio, Italy) as a Software House & Integrated Hardware textile solution company. Since then, we have become a respected large-format printer manufacturer and consumables+software provider. This comprehensive capability allowed us to deliver our textile-industry customers strong sets of solutions so they can turn their design ideas into material reality. Thus, we cover the two main bases for this industry: 1) design+development, marketing and support of CAD/CAM software; 2) development of the OEM plotters themselves. We are framed within the so-called “Digital Valley” at Lurate Caccivio industrial area. As a result of our 15-year experience, we offer our customers integrated ad-hoc solutions in hardware and software for the Textile Industry in the digital print field. Our customers’ operation challenges have increased, demanding higher volumes and therefore higher production speed, together with their need for cheaper maintenance costs along the manufacturing process. Thus, ALEPH’s response is our new innovative project ‘LaFORTE’. By means of this, we will deliver new machines capable of increasing productivity in our clients enabling them to print 300 dots-per-inch (dpi) in UltraFast Speed (5,08 m/sec) in 1-direct smart print-pass or 600 dpi in High Speed mode (1,69 m/s) in 16 print-pass in an extra 15% output rate with 20% higher velocity and 15% less time in set-up operations and change-over times, due to the removal of the traditional need of glue for fixing paper position in Large Format Textile Printing. Our idea is to use controlled vacuum to fix it. As a result, the customers will not need to clean the glue from the surface pad with consequent saving in 50 kg dissolvent per operation batch and about 50 litres water per hour of operation. This equals to global 100.000 litres of water/year, giving our project an environmental relevant move forward.

Keywords: printing,textile
Multi-modal Context Modelling for Machine Translation (MultiMT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: United Kingdom,United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-07-01
End date: 2021-12-31
Duration (months): 66.0
Total project cost (EUR): 1493771.0
EU funding (EUR): 1010513.67
Participants: 2
Project status: CLOSED

Automatically translating human language has been a long sought-after goal in the field of Natural Language Processing (NLP). Machine Translation (MT) can significantly lower communication barriers, with enormous potential for positive social and economic impact. The dominant paradigm is Statistical Machine Translation (SMT), which learns to translate from human-translated examples. Human translators have access to a number of contextual cues beyond the actual segment to translate when performing translation, for example images associated with the text and related documents. SMT systems, however, completely disregard any form of non-textual context and make little or no reference to wider surrounding textual content. This results in translations that miss relevant information or convey incorrect meaning. Such issues drastically affect reading comprehension and may make translations useless. This is especially critical for user-generated content such as social media posts -- which are often short and contain non-standard language -- but applies to a wide range of text types. The novel and ambitious idea in this proposal is to devise methods and algorithms to exploit global multi-modal information for context modelling in SMT. This will require a significantly disruptive approach with new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can process rich context models. The focus will be on three context types: global textual content from the document and related texts, visual cues from images and metadata including topic, date, author, source. As test beds, two challenging user-generated datasets will be used: Twitter posts and product reviews. This highly interdisciplinary research proposal draws expertise from NLP, Computer Vision and Machine Learning and claims that appropriate modelling of multi-modal context is key to achieve a new breakthrough in SMT, regardless of language pair and text type.

Keywords: statistical machine translation,multi modal natural language processing,context models,vision and language