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Taster Session: How Can AI Help to Reduce Disaster Risk?
14 April 2025, 2:45 pm–3:35 pm
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.
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
RDR Comms
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.
Study at UCL Risk and Disaster Reduction
The RDR Virtual Taster Sessions provide prospective students with a taste of what it’s like to study in the UCL Department of Risk and Disaster Reduction (RDR). Our taster sessions are free to attend, and you can sign up for as many as you like, depending on your interest areas. Sessions are led by RDR academics, and you will have the opportunity to engage directly with our internationally renowned experts.