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Session Proposal: Emerging Technologies and Data-Driven Approaches for Informal Settlement Management and Risk Analysis (AGU25)

NH016
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
 
From Informal to Formal Settlements in Istanbul: Measuring Connectivity Loss (1908015)
Esma Aksoy, Istanbul Technical University, Department of Informatics, Architectural Design Computing Program, Istanbul, Turkey
 
Enhancing Ventilation in Informal Settlements through LiDAR-Informed CFD Modeling (1934022)
Theo Hermann, Fábio Duarte, Martina Mazzarello and Carlo Ratti, Massachusetts Institute of Technology, Senseable City Lab, Cambridge, United States
 
A Novel Tunnel Settlement Risk Mapping Model Based on Ground Settlement and Multi-source Data Analysis (Invited) (1937465)
Long Chai and Xiongyao Xie, Tongji University, Shanghai, China
 
Evaluating Deep Learning Approaches for Refugee Dwelling Detection (1939223)
Syed Muhimeen Ahmed and He Yin, Kent State University, Department of Geography, Kent, United States
 
A global 10-meter resolution map of informal settlements derived from satellite imagery and open datasets (1950747)
Dr. Song Jiang1, Lei Zhao1 and Xuecao Li2, (1)University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, Urbana, United States, (2)College of Land Science and Technology, China Agricultural University, Beijing, China
 
Mobility Enthalpy: A Data-Driven Metric for Spatial Adaptation Burden Across Hazards and Informal Urban Systems (1973672)
Rong Ding, Northeastern University, Boston, MA, United States and Ryan Wang, Northeastern University, Department of Civil and Environmental Engineering, Boston, United States
See more of: Natural Hazards