Participatory Approaches and Citizen Science

05/12/2024dev

Introduction

This theme empowers citizens and stakeholders to co-design models, simulations, and decision tools. It focuses on participatory modeling, serious games, and interactive interfaces for co-learning and negotiation in sustainability challenges.

Scientific Issues & Challenges

– Creating intuitive model interfaces for non-experts.

– Capturing qualitative and behavioral data through new interface technologies.

– Gamification as a means of engagement and co-decision-making.

Applications

Projects

RÁC (Vietnam) for irrigation pollution; LittoSIM, SIMPLE for climate and resilience.

Interfaces

HoanKiemAir, Marrak’Air real-time air quality simulations.

Living Labs

ACROSS & SUCCESS (Vietnam, Sahel) for collaborative water governance and urban mediation.

Research Activities & Animations

– Collaboration with MIT Media Lab, LPI, COMMOD Network.

– Participatory workshops and AR/VR methodological research.

– Co-development of tangible and digital tools with civil society actors

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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