Research Projects

An open-source research framework designed to bridge the gap between digital and physical simulations by using the GAMA platform to orchestrate a fleet of modular, low-cost robots that embody complex agent-based models in real time.

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The general objective of SIMPLE is to raise awareness of young audiences on the challenges of finding sustainable solutions to environmental problems by developing, testing, and delivering a “sustainability metaverse”, i.e., an infrastructure and a set of pedagogical methods based on immersive virtual reality environments, serious games, and scientific simulations.

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An extension of the SIMPLE project, led by IRD and funded by the SCAC (the French Embassy's Service for Cooperation and Cultural Action) and the Institut Français. Using immersive education a step further by using Virtual Reality tools for French language learning.

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The overall objective of the STAR-FARM project is to facilitate smart agro-ecological transformation of agri-food farming systems of the Viet Nam’s Mekong Delta (VMD) and strengthen resilience to climate change, environmental degradation, and other external shocks.

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Designing a unified multi-level agent-based modeling framework in GAMA to address the methodological challenges of coupling multi-scales simulations.

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Building a modeling kit written in GAMA for analyzing and comparing interventions against the COVID-19 epidemic at the scale of a city.

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ESCAPE is a research project developing agent-based simulation tools to help decision-makers design and evaluate mass evacuation strategies in urban areas facing natural or technological disasters.

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Simulating traffic and air pollution in Hanoi's Hoan Kiem district using an agent-based model on the GAMA platform, helping authorities and the public evaluate the impact of pedestrianization on air quality.

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