AGU Seismology Session of Interest: Detection to Hazard
Francesca Burkett
Dear colleagues,
How can we transform our rapidly growing earthquake catalogs into reliable information about seismic hazards? Our AGU session highlights research that bridges the gap between earthquake detection, seismological characterization, and hazard assessment. We invite contributions that advance the validation, interpretation, and application of earthquake detections to improve our understanding of earthquake source processes and forecasting of seismic hazards and risk.
If this topic interests you, please consider submitting an abstract to our AGU Session:S015: From Earthquake Detection to Hazard: Advances in Catalogs, Magnitudes, and Seismological Validation
Invited Speakers:
Eric Beaucé — Next-generation earthquake catalogs: Opportunities and challenges for scientific discovery
Chengping Chai — QuakeMind: An Agentic Platform for Seismological Applications
Session Description:
Recent advances in earthquake detection, including machine learning, template matching, distributed acoustic sensing (DAS), and dense seismic network observations, are rapidly expanding earthquake catalogs. However, translating these developments into reliable seismic hazard and risk assessments requires equally robust seismological characterization, including magnitude estimation, phase picking, velocity models, focal mechanisms, catalog validation, uncertainty quantification, and source parameter measurements.
This session focuses on the pathway from earthquake detection to seismic hazard, demonstrating how improved catalog development and event characterization can strengthen hazard models, forecasting, and risk analyses, while also providing insight into earthquake rupture processes. We welcome contributions on detection methods, catalog and magnitude methodologies, relocation and velocity model improvements, catalog comparisons, uncertainty assessment, and applications of improved earthquake datasets to hazard and risk problems. Studies covering tectonic, induced, or volcanic seismicity, as well as those integrating new computational tools or reassessing existing tools and catalogs, are especially encouraged.
Conveners:
Francesca Burkett (University of Michigan)
Yihe Huang (University of Michigan)
Rachel E. Abercrombie (Boston University)
Nicholas van der Elst (USGS)
Colin Pennington (Lamont-Doherty Earth Observatory)
Abstract deadline: August 5, 2026, 11:59 PM ET
Submit abstract here: https://agu.confex.com/agu/agu26/prelim.cgi/Session/282755
We look forward to receiving your submissions and hope to see you at AGU 2026!
Best regards,
Francesca Burkett, Yihe Huang, Rachel E. Abercrombie, Nicholas van der Elst, and Colin Pennington