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Topic
RDR Taster Session: How AI Can Help to Reduce Disaster Risk
Date & Time
Selected Sessions:
Apr 14, 2025 02:45 PM
Description
Join us for a taster lecture with Dr Saman Ghaffarian, a geospatial data scientist with a focus on using Artificial Intelligence (AI) and geospatial data to manage and mitigate disaster risks.
In this session, Saman will explore how AI-based tools and methods, including deep learning, explainable AI, digital twins, and AI-integrated simulation, can improve disaster preparedness, response, and recovery. The lecture will highlight how geospatial data, machine learning, and socio-economic modelling can provide deeper insights into disaster vulnerability and resilience, offering new approaches to reducing disaster risks.
In addition to his research, Saman teaches across both undergraduate and postgraduate programmes at the Department of Risk and Disaster Reduction (RDR). He leads IRDR0047: Geospatial Data Science and IRDR0010: Advanced Hazards at the postgraduate level, focusing on the application of geospatial data and AI in understanding and managing complex disaster risks. At the undergraduate level, he teaches IRDR0021: Social and Geospatial Data Analysis, equipping students with the skills to analyse and apply geospatial data in disaster and social risk contexts.
Find out more about studying at UCL RDR: https://www.ucl.ac.uk/risk-disaster-reduction/study