Data for Disaster Management - Steven Reece

Explore how machine learning approaches to data fusion can revolutionize disaster management in this 38-minute talk from the Pint of Science festival. Delve into the critical role of situation awareness in disaster response and learn how diverse data sources, from satellites to social media, can be combined to enhance decision-making. Discover novel techniques for removing unreliable data and identifying informative sources, and examine real-world applications in environmental protection and dam prediction. Through case studies including the Nepal earthquake and Hurricane 2017, gain insights into impact-driven research and the potential of AI-powered generative models and neural networks in improving disaster preparedness and response.

Introduction
Disasters
The disaster cycle
Research projects
Unstructured data
Impactdriven research
Zooniverse
Nepal example
The Zooniverse
Hurricane 2017
Impact
AI
generative models
neural nets
results
technology
Environmental protection
Dam prediction