NH016
Emerging Technologies and Data-Driven Approaches for Informal Settlement Management and Risk Analysis
Emerging Technologies and Data-Driven Approaches for Informal Settlement Management and Risk Analysis
Session ID#: 252013
Session Description:
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.
Co-Sponsor(s):
- GC - Global Environmental Change
- IN - Informatics
- SY - Science and Society
Index Terms:
1926 Geospatial [INFORMATICS]
1928 GIS science [INFORMATICS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
4337 Remote sensing and disasters [NATURAL HAZARDS]
Primary Convener: Chang Liu, Massachusetts Institute of Technology, Senseable City Lab, Cambridge, MA, United States
Conveners: Fábio Duarte, Massachusetts Institute of Technology, Senseable City Lab, Cambridge, United States, Felipe Mandarino, City of Rio de Janeiro, Rio deJaneiro, Brazil and Luiz Coelho, Municipal Institute of Urban Planning Pereira Passos (IPP), Rio de Janeiro, Brazil
See more of: Natural Hazards