Primary Convener:
Chang Liu, Massachusetts Institute of Technology

Convener:
Fábio Duarte, Massachusetts Institute of Technology
Felipe Mandarino, City of Rio de Janeiro
Luiz Coelho, Municipal Institute of Urban Planning Pereira Passos (IPP)

Chair:
Chang Liu, Massachusetts Institute of Technology
Pei Zhao, Massachusetts Institute of Technology

Informal settlements represent complex urban challenges that require innovative, evidence-based interventions. This session will explore how emerging technologies—including AI, big data analytics, and advanced sensing platforms— monitor, detect potential risks, and provide critical empirical insights of informal settlements to guide policy decisions. By embedding intelligent technology within urban contexts, these approaches yield granular, up-to-date data reflecting the unique human and environmental characteristics of each community. Attendees will understand how to effectively utilize technological innovations to drive informed, data-driven analyses and management aimed at improving living conditions, enhancing urban resilience, and addressing socio-economic disparities in informal settlements globally.

Index Terms
1926 Geospatial
1928 GIS science
4333 Disaster risk analysis and assessment
4337 Remote sensing and disasters

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
Climate Change and Global Policy
Machine Learning and AI
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
IN - Informatics
SY - Science and Society
GC - Global Environmental Change

Neighborhoods:
1. Science Nexus