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AI for dynamic water resource management – AIqua
Climate change is profoundly altering the way in which hydrosystems function, leading to a gradual scarcity of water resources in summer and, in some areas, an increase in winter. This context calls into question current models for managing these resources, which are designed for situations of abund
Data observatory in the era of multi source Big Data – Aerial
The recent explosion in data acquisition capabilities and observing modes from satellites and facilities in astronomy and Earth observation is resulting in a rise in the level of data acquired, to be processed and analysed, presenting a technological challenge. The Gaia mission from ESA, for instanc
Gradual Multi Transfer Learning for Safe Autonomous Driving – MultiTrans
The development of algorithms for Autonomous Vehicles (AVs) faces important challenges throughout the design and implementation pipeline. The high cost and complex operation of real-world test-beds limits the experience an embedded Artificial Intelligence (AI) can gather, as it originates from a few
Trustworthy AI Through Propagating Sets – TRAITS
Artificial intelligence (AI) is a key technology for automated decision-making in cyber-physical systems, where it leads to increased autonomy and performance. As applications can be found in a variety of fields, we are focusing on defense and dual-use applications, in particular autonomous land, ai
From the lab to the field: A multiple assessment of stress in daily life to better understand social facilitation and impairment effects – DAY-STRESS
Stress, broadly defined as the response of the organism to challenging conditions, is central to life adaptation. However, stress may also have negative consequences in many domains (e.g., academic success, decision making, health). DAY-STRESS is anchored in a social psychology and neurophysiology a
Experiencing music in the time of COVID: resisting, adapting, innovating. – MUSICOVID
MUSICOVID is an interdisciplinary research project that places at its centre the analysis of the modes of adaptation, resistance and innovation of musicians and their audiences in times of Covid, when the question of a brighter tomorrow is so acute. It aims to question the new place of live music in
Interpretability of Deep Neural Networks for Radiomics – INFORM
Deep neural networks (DNNs) have achieved outstanding performance and broad implementation in tasks such as classification, denoising, segmentation and image synthesis, including in medical imaging. However, DNN-based models and algorithms have seen limited adaptation and development within the radi
Can marine protected areas alleviate poverty in the context of land desertification? – MPA-POVERTY
We will follow a data-to-model-to-decision-making process where ‘putting fish back to the menu’ is a potential transformation pathway. Six main objectives will be reached within 5 years: 1. Delineating and characterizing all coastal and rural socio-ecological systems (CRSES) on the coasts of Madaga
Substituting for healthier foods, investigating food-choices transitions - Crossing disciplinary views on food substitutions acceptability – SHIFT
Excessive intake of sugars and salt are linked to deleterious consequences on Human health. Current strategies to design and favor healthier options have limited effects due to their poor acceptability. SHIFT proposes a multidisciplinary approach, combining life-, social- and computer-sciences to un
SLEEP monitorIng in premature NEwborns by multimodal data fusion and Self-Supervised approaches – SLEEPINESS
Preterm birth is a birth that occurred before 37 weeks of gestation. Because of the immaturity of all their physiological functions, premature babies are exposed to high morbidity, especially in terms of neurodevelopment. Their health status is evaluated through the continuous monitoring of several
