Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
GeoViSense: Towards a transdisciplinary human sensor science of human visuo-spatial decision making with geographic information displays (GeoViSense)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Switzerland
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-11-01
End date: 2023-10-31
Duration (months): 72.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Well-designed mobile, human responsive geographic information technology could improve the lives of millions who daily need to make time critical and societally relevant decisions on the go. However, what are the basic processes with which humans make visuo-spatial decisions when guided by responsive geographic information displays? Visualization research todate has been driven by technical and computational advances to overcome data deluges, but we still have a poor understanding whether, how, and when visual displays support spatio-temporal decision making and action, and for which kinds of users. We will break new ground to overcome this transdisciplinary knowledge gap and aim to: (1) integrate fragmented human-visualization-environment research across the sciences including natural, social/behavioral, and the engineering sciences, all critical to tackle this interdisciplinary problem, (2) develop missing, empirically evaluated design guidelines for human-computer interfaces of current/emerging mobile geographic information technology to support affective, effective, and efficient spatio-temporal decision-making, (3) develop unconventional evaluation methods by critical examination of how perceptual, cognitive, psycho-physiological, and display design factors might influence visuo-spatio-temporal decision making across broad ranges of users and mobile use contexts, and (4) scale up empirical methods from to-date controlled behavioral lab paradigms towards a new in-situ mobile human sensor science. A paradigm shift from current lab-based neuro-cognitive and affective science towards a location-based, close human sensing science will radically change the way we study human behavior across science. In doing so, we can improve spatio-temporal every-day decision making with graphic displays, and facilitate sustainable solutions for the increasingly mobile digital information society having to mitigate environmental emergencies, human refugee crises, or terror attacks.

Keywords: cartography,geographic information visualization,psycho physiology,methods
Personalized medical device for the diagnosis and treatment of ADHD based on EEG biomarkers and Neurofeedback Training (NEWROFEED)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: France
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-2-2015, 2015)
Start date: 2015-10-01
End date: 2018-03-31
Duration (months): 30.0
Total project cost (EUR): 3600632.5
EU funding (EUR): 3600632.5
Participants: 1
Project status: CLOSED

NEWROFEED aims at setting a new standard of care for children suffering from Attention Deficit Hyperactivity Disorder (ADHD). ADHD@Home is the diagnosis and treatment medical device, developed by Mensia in project NEWROFEED, to achieve this goal. In order to optimise success rates, ADHD@Home is based on an EEG biomarker-based personalised medicine approach to treat ADHD children with state-of-the-art personalized Neurofeedback Training. This patient-centered solution is delivered at home, with supervision by ADHD specialists. As an efficacious alternative to treatment by psychoactive medication, the expected clinical outcomes include normalized social behaviour and improved school performance. ADHD@Home delivers physiological lasting normalization of brain activity, using the child’s endogenous neuronal plasticity, to resolve his or her attention and hyperactivity problems. Its unique technology and design enable it to achieve two critical clinical objectives: 1. To identify the root cause of the ADHD for a given child by quantifying, in real-time, deviations in EEG oscillation biomarkers allowing the clinician to select and adjust the Neurofeedback protocols. 2. To deliver the personalized Neurofeedback protocols on an affordable and user-friendly device, enabling optimal training at home under remote medical supervision. This clinical breakthrough is made possible by Mensia’s cloud-based real time quantitative EEG analysis technology. ADHD@Home will be validated for efficacy in the NEWROFEED Clinical Trial. This will pave the way for a successful commercial launch in 2018 to deliver on our promise of efficacious physiological treatment for millions of ADHD children. Thanks to NEWROFEED, Mensia will become a world leader in the field of EEG-based personalised treatment of Central Nervous System disorders; capitalizing on the clinical success of its ADHD@Home device that will generate 65M€ in cumulative revenues by 2022.

Keywords: neurofeedback,adhd,biomarkers,neuromarkers,brain,medical device,e health,personalized health,eeg biomarkers
Sulphide INclusions in DIAmonds: A Window into The Earth’s Interior Through Time (SINDIA)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-04-01
End date: 2021-09-29
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

Life-sustaining Earth’s surface is closely related with the evolution of Earth’s interior, that is essentially ruled by mantle behaviour. Diamonds containing mineral inclusions from “long ago” and “far away” are unparalleled tools to investigate the chemical history and evolution of the Earth’s otherwise inaccessible mantle. Among mineral inclusions in diamond, sulphides are the most abundant. These minerals are the best candidate to investigate mantle primary composition, mantle physical-chemical processes at conditions prevailing during diamond formation and genesis – still a highly contentious issue. Sulphide inclusions are the keel tool for dating diamond formation and yet, despite previous research, the nature of these inclusions is not well understood. This is a major drawback as knowledge of the genesis of these mineral phases in diamonds directly relates to the chronological information they contain, and consequently the chemical information they carry. In light of very recent exciting results from an ERC project discovering new sulphide minerals in diamonds, SINDIA aims at combining, for the first-time, a thorough non-destructive in situ characterization of sulphide inclusions in diamonds with homogenization experiments coupled with isotopic analyses to investigate their genesis and the evolution of the Earth’s interior through time. SINDIA’s goals are to shed new light into the composition, origin and age of mantle sulphides, the origin and age of diamonds and in particular to validate the mostly widely used dating system in diamond research. The results of this study will provide international visibility to the researcher and the University of Padova by producing fundamental scientific advances in this new field of research, making the Department of Geosciences a leading institution of international repute, increasing the competitiveness and scientific recognition of the European Research Area.

Keywords: earth s interior,diamond,sulphide inclusions,diamond genesis,x ray diffraction,isotope geochemistry,diamond dating
Formal Models of Social Meaning and Identity Construction through Language (SMIC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: France
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-07-31
Duration (months): 66.0
Total project cost (EUR): 1415974.0
EU funding (EUR): 1415974.0
Participants: 1
Project status: SIGNED

One of the most powerful ideas of the past quarter century is that our personal and social identities and their various components (gender, age, class etc.) are not natural properties, but are socially constructed through the combination of our actions and others' interpretations of them. Research in sociolinguistics has shown that language is critical to this process, and our interlocutors take into account not only what we say but also how we say it. For example, studies have shown that speakers using colloquial expressions (like pronouncing the word 'drinking' as drinkin') are perceived to be friendlier than speakers saying the same thing using more formal expressions (i.e. saying drinking). On the other hand, the latter are often perceived to be more competent than those using colloquial language. Although identity construction through language is a fundamental notion in the humanities and social sciences, we do not yet have a precise characterization of the cognitive processes involved. As a result, these influential ideas have remained isolated from work in cognitive science, computer science and artificial intelligence. The goal of SMIC is therefore to construct a mathematically explicit, computationally implemented theory of the identity construction process based on the hypothesis that identity construction is very similar to other kinds of linguistic communication, i.e. hearing drinkin' and thinking that the speaker is friendly is the same basic cognitive process as hearing drinkin' and thinking about imbibing liquid. Modeling linguistic communication is a central concern of formal pragmatics, and recent developments in this field have created exciting new experimental, mathematical and computational tools for studying linguistic meaning in context. SMIC aims to take advantage of these developments to build the model, and, in doing so, unite diverse lines of research across the social, cognitive and information sciences.

Keywords: social meaning,identity construction,game theory,pragmatics,semantics,sociolinguistics,gender,dialectology,computational modeling,psycholinguistics,fieldwork,ideological structure
Multiplexed biosensing and tissue-on-a-chip integrated platform for breast cancer biomarkers monitoring (BITFORM)

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: Life Sciences
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2023-07-02
Duration (months): 36.0
Total project cost (EUR): 245732.16
EU funding (EUR): 245732.16
Participants: 3
Project status: SIGNED

In this project I will develop an integrated multi-module platform in which a breast cancer ecosystem-on-a-chip (BCE-on-a-chip) bioreactor module, connected to an optical biosensing module based on multiplexed Resonant Nanopillars (R-NPs) transducers, will be developed for biomarkers and anti-breast cancer drug real-time monitoring. Currently attrition rates in clinical trials for new anti-cancer drugs and personalized treatments are higher than all other therapeutic areas. Mainly due to the great reliability on conventional 2D and 3D scaffolds in-vitro culture methodologies in preclinical studies. Those cell-based models are limited by their inability to conserve the patient tumor features and do not accurately show drug response, observed later in clinical trials. Due to the increasing number of cancer diagnoses, an engineered system that allows an accurate prediction of patient tumor response to anti-cancer drug, is urgently needed. In Bitform Project I will develop a BCE-on-a-chip bioreactor that intends to conserve the cancer tissue characteristics with high reliability. Breast cancer cell secreted biomarkers will be monitored in real-time with a multiplexed biosensing module based on R-NPs. In order to assess the capability of Bitform platform, an anti-cancer drug demonstrator (Paclitaxel) will be tested. By delivering Paclitaxel to the BCE-on-a-chip, monitoring of different cell secreted target biomarkers will permit to evaluate the effect of this drug, and thus to demonstrate the performance of the platform. The Bitform platform will be suitable for different organ-on-chip culture models and biomolecules monitoring secreted by the cells. This will lead to a new methodology for testing anti-cancer therapies on-a-chip. This is a relevant milestone to study the further potential of the Bitform Platform in personalized medicine, which can have a transformative impact not only on the outcome but also on the costs of treatments by avoiding expensive failures.

Keywords: optical biosensing,biomarkers,organ on chip,multiplexing,microfluidics,label free,nano transducers
Nurspray Biostimulants - Protecting agriculture against climate stress with breakthrough sustainable crop treatment (NURSPRAY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Belgium
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-05-01
End date: 2022-12-31
Duration (months): 32.0
Total project cost (EUR): 2761812.5
EU funding (EUR): 1933268.75
Participants: 1
Project status: CLOSED

Fyteko's Nurspray is a biostimulant that makes crops resilient to climate stress. Nurspray activates a plant's tolerance mechanism to drought, heat and salinity, boosting recovery and crop yield. It is non-toxic and compatible with agricultural methods. Field trials have shown yield increases of 12% to 53% over a broad range of crops and locations. Problem: Heat, drought and salinity are undermining global agricultural output by 50%, worth $100B p.a. Current agrochemicals are insufficient: there is no abiotic stress treatment product. Solution: Nurspray is the world’s first single-molecule biostimulant with a scientifically proven effect. It competes with other biostimulants which are mix/extracts/microorganisms with limited effect. Timing: The EU’s revised Directive on Fertilising Products (2019) will allow biostimulants to obtain CE marking in 2022. Progress: Fyteko has invented and patented Nurspray, produced demonstration batches at scale, proven effectiveness in 170+ tests, and won numerous awards. Trial contracts to treat fields in Latin American and Africa are already signed. Sales: End-users are farmers, reached through distributors, agrochemical partners and seed companies. Market: Agrochemicals are worth €5B annually. Biostimulants will disrupt this, as farmers are seeking non-chemical solutions for crop stress management. Project: Fyteko will improve its formulations; upscale its production process; conduct field trials in eight EU countries (data generation); secure CE Marking; and prepare for European market launch in 2022-2023.

Keywords: plant signal molecules,biostimulants,sustainable farming,abiotic stress,integrated agriculture,protecting yield,reduction of traditional chemical input,crop productivity under climate change
Unravelling new immunity-independent mechanisms for durable resistance to blast fungi using MAX effectors (ii-MAX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: France
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-06-01
End date: 2026-05-31
Duration (months): 72.0
Total project cost (EUR): 1499875.0
EU funding (EUR): 1499875.0
Participants: 1
Project status: SIGNED

As staple food crops, cereals are essential to feed the world’s growing population. Keeping pace with demography and global change requires increasing cereal yields in a sustainable manner. Destructive fungal pathogens such as Magnaporthe oryzae, the causal agent of the blast disease, represent major threats to cereal production. In this context, the ii-MAX project will produce ground-breaking knowledge of fungal virulence and plant immunity that will be valuable to engineer durable resistance to blast in cereals. During plant infection, pathogens deploy molecular weapons known as effectors that target cellular processes of the host to promote infection. In M. oryzae, a particularly large and diverse family of effectors has recently been discovered: the MAX (Magnaporthe AVRs and ToxB-like) effector family. Remarkably, these effectors possess various protein sequences but exhibit a conserved structure. The MAX effector family is specific to ascomycete fungi but has undergone massive expansion in M. oryzae suggesting a primary role for these effectors in the infectious process. Nonetheless, the cellular mechanisms they target in cereals are largely unknown. The aim of my project is to identify the host proteins targeted by M. oryzae MAX effectors and conduct a comprehensive study of the biophysical and functional interactions between MAX effectors and their target proteins in rice. This will enable new sources of resistance to be developed by modifying host susceptibility proteins targeted by MAX effectors. To achieve this goal, I defined four objectives: 1-Identify the host proteins targeted by MAX effectors. 2-Define the structural and biophysical properties governing the interaction of MAX effectors with their virulence targets in cereals. 3-Improve resistance to blast in rice by mutating virulence targets of MAX effectors required for susceptibility to M. oryzae. 4-Elucidate the virulence function of MAX effectors through functional investigation of their targets.

Keywords: magnaporthe oryzae,effectors,rice,immunity,susceptibility,resistance
Big Energy Data Value Creation within SYNergetic enERGY-as-a-service Applications through trusted multi-party data sharing over an AI big data analytics marketplace (SYNERGY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Austria,Austria,Spain,Spain,Spain,Italy,Spain,Cyprus,Finland,Greece,Greece,Croatia,Croatia,Norway,Denmark,Portugal
Call: Big data solutions for energy (H2020-DT-2019-1, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 12611316.31
EU funding (EUR): 9929240.0
Participants: 29
Project status: SIGNED

The transition to the smart grid era is associated with the creation of a meshed network of data contributors that necessitates for the transformation of the traditional top-down business model, where power system optimization relied on centralized decisions based on data silos preserved by stakeholders, to a more horizontal one in which optimization decisions are based on interconnected data assets and collective intelligence. Consequently, the need for “end-to-end” coordination between the electricity stakeholders, not only in business terms but also in exchanging information is becoming a necessity to enable the enhancement of electricity networks’ stability and resilience, while satisfying individual business process optimization targets of all stakeholders involved in the value chain. SYNERGY introduces a novel reference big data architecture and platform that leverages data, primary or secondarily related to the electricity domain, coming from diverse sources (APIs, historical data, statistics, sensors/ IoT, weather, energy markets and various other open data sources) to help electricity stakeholders to simultaneously enhance their data reach, improve their internal intelligence on electricity-related optimization functions, while getting involved in novel data (intelligence) sharing/trading models, in order to shift individual decision-making at a collective intelligence level. To this end SYNERGY will develop a highly effective a Big Energy Data Platform and AI Analytics Marketplace, accompanied by big data-enabled applications for the totality of electricity value chain stakeholders (altogether integrated in the SYNERGY Big Data-driven EaaS Framework). SYNERGY will be validated in 5 large-scale demonstrators, in Greece, Spain, Austria, Finland and Croatia involving diverse actors and data sources, heterogeneous energy assets, varied voltage levels and network conditions and spanning different climatic, demographic and cultural characteristics.

Keywords: smart grid,multi party computations,artificial intelligence,blockchain,network management,asset management,energy efficiency,res integration,data driven business models,energy services
ScreenCancer Mole Scanner - Easily accessible mole scanning service for early detection of skin cancer. (SCMS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Every sixth death in the world is due to cancer, making it the second leading cause of death after cardiovascular disease. Specially, skin cancer is in many cases hard to diagnose. Discriminating suspicious moles to be biopsied from normal moles requires experience and training in the use of a dermatoscope. E.g. in France only 8% of GPs have access to a dermatoscope leading to unnecessary medical referrals, which delay the diagnosis. Moreover, malignant melanoma is the fastest growing cancer, so early diagnosis and intervention is vital for a positive outcome. To this end ScreenCancer has developed the ScreenCancer Mole Scanner (SCMS), a high quality, low threshold “pop-in” service for screening of suspicious moles easily available in pharmacies and skin clinics. The instrument provides a dermatoscopic image, a clinical image of the surroundings, patient information, image storage and transfer of data to a remote specialist (tele-dermatology) solution, all embedded into the Mole Navigator platform. The image is analyzed by an algorithm which can recognize malignant or suspicious moles (99%sensitivity, 73% specificity) and recommend biopsy or further inspection by a dermatologist. This service can remove a worry or allow early intervention against skin cancer being an affordable life-saving service making early detection of skin cancer easier than ever. To date, the company has obtained close to €3,5 million in funding from VC and grants (Innovation Norway) and reached €660.000 turnover in the last year from sales of their current service. ScreenCancer has also obtained a long term loan of €400.000 from innovation Norway. The proposed work in Phase 1 of the SME instrument fits into the overall plan to reach the market by contributing the financial resources needed to plan a fast sound wider deployment of SCMS and its market uptake.

Keywords: mole screening,skin cancer