Methods: Visualization
Fields: Communication, Earth Science, Environmental Science, Urban Science

Collaborators: Dan Abramson (Urban Design and Planning), Loyce Adams (Applied Math), Ann Bostrom (Evans School of Public Affairs), Frank Gonzalez (Earth & Space Sciences), Randy LeVeque (Applied Math), and the M9 Project more generally.

Computer simulation of earthquakes, tsunamis, and other natural hazards can be used to generate probabilistic estimates of hazards for communities at risk, requiring techniques from computational science, spatial statistics, Monte Carlo sampling, and various other interdisciplinary data science fields, coupled with expertise from earth sciences and engineering. Doing so for potential Magnitude 9 Cascadia Subduction Zone events that have a major impact in the Pacific Northwest is the subject of the NSF Hazard-SEES M9 Project that has close ties with the eScience Institute.

An important topic of study is the best way to communicate probabilistic information to the public, to emergency managers, and to other stakeholders, in particular via maps or other data visualization techniques for communicating uncertainty.

A week-long workshop for graduate students supported by the M9 project took place in the WRF Data Science Studio in September, 2015, and will form the basis for an on-going working group on this topic. The DSE ethnography group is also participating in this project, which involves students, postdocs, and faculty from many disciplines.