Agent-Based Mathematical and Computer Modeling

17/12/2024dev

Introduction

This theme develops mathematical and agent-based models to understand and simulate the dynamics of complex systems from epidemics to ecosystems. It focuses on multiscale modeling, decision support, and hybrid approaches that integrate differential equations with computational agents, supported by platforms like GAMA and COMOKIT.

Scientific Issues & Challenges

Conceptual

Multi-scale model hybridisation; theory development for emergent system behaviour.

Technical

Computational resource intensity; simulation parallelisation; auto-generation of models using generative AI.

Data

Need for continuous calibration using real-world data; limited availability in Southern contexts.

Applications

Epidemiology

COMOKIT, GeoTB, Covid & SARS-CoV-2 modeling, One Health.

Ecology

Microbial soil pores, rodent migration, sustainable agriculture.

Urban Planning

Mobility optimization in Marrakech (I-Maroc), evacuation strategies (ESCAPE project).

Water Management

Pollution tracking in irrigation networks (Vietnam), reuse modeling.

Research Activities & Animations

– Annual inter-centre project calls (e.g., Morocco-Vietnam mobility).

– Coding camps (GAMA) and platform development (PEGASE project).

– Cross-theme seminars blending AI, math, sociology, and epistemology.

Research

Related Research

Read All Research

Theme 1

Agent-Based Mathematical and Computer Modeling

Our agent-based modeling simulates social, economic, and environmental scenarios, aiding policymakers in urban planning and public health by predicting outcomes and epidemic spread.

Theme 2

Artificial Intelligence and Deep Learning

AI and deep learning analyze large datasets to reveal patterns and support sustainable development, using satellite imagery for climate impact predictions and solutions in health and urban planning.

Theme 3

Sensors and Data Collection

Our sensor networks enable real-time monitoring of critical environmental metrics, such as air quality and water resources, throughout Southeast Asia. This data empowers researchers and communities to make better-informed decisions for a sustainable future.

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