
Dr Maximilian Stiefel
Research Associate in Assessing the Effectiveness of Wildlife Protection Strategies
Contact details
Biography
Max is a climate risk researcher. He is currently working with Dr. David Demeritt on natural language processing of natural hazard mitigation plans to construct a dataset for statistically modeling the effectiveness of wildfire protection strategies. His broader research interests are in modeling risk to human systems across all climate-sensitive hazards. Max holds a PhD from the Department of Geography at the University of California, Santa Barbara.
Research
- Climate Risk
- Extreme Events
- Wildfire
- Natural Language Processing
- Artificial Intelligence
Max's current project involves gathering Community Wildfire Protection Plans and similar documents (e.g. Natural Hazard Mitigation Plans), analyzing these documents with natural language processing to construct a dataset of plan characteristics, and statistically modeling the effectiveness of wildfire protection strategies in North America.
Research

Leverhulme Centre for Wildfires, Environment and Society
Transforming the scientific and practical understanding of wildfire through interdisciplinary research

Geocomputation and Data Science Research Hub
The Geocomputation and Data Science Research Hub provides expertise in solving contemporary global problems using data.

Centre for Integrated Research in Risk & Resilience
Bringing together research disciplines to shape a critical perspective on resilience and its application as a concept.
Research

Leverhulme Centre for Wildfires, Environment and Society
Transforming the scientific and practical understanding of wildfire through interdisciplinary research

Geocomputation and Data Science Research Hub
The Geocomputation and Data Science Research Hub provides expertise in solving contemporary global problems using data.

Centre for Integrated Research in Risk & Resilience
Bringing together research disciplines to shape a critical perspective on resilience and its application as a concept.