Pre-Meeting Workshops

MONDAY, 17 APRIL  2017
Two pre-meeting workshops are planned for Monday, 17 April  2017.  Both workshops are supported by the Kanamori Fund.

1. Be a Better Reviewer, Advance Your Career

This workshop will help you learn how to be a more reliable and productive reviewer for technical papers, and how to use the reviews you receive to improve your research and to build better relationships with your editors and peers. Participants will get an in-depth look at the steps needed to review colleagues’ papers in constructive and reliable ways, and learn more about how becoming a good reviewer can be helpful in further developing your career and contributing to the broader seismological community. The roles of the editors, the reviewers, the authors and the journal production staff in the publication process will be discussed. The instructors will open to all questions about reviewing and publishing, and are hoping for a lively Q&A session as in years past. The free workshop is geared toward students and early-career seismologists, but is open to all Annual Meeting attendees.

This workshop is scheduled for 2:30 – 4:30 PM on Monday, 17 January 2017. The instructors are Roland Bürgmann of University of California, Berkeley, BSSA associate editor emeritus; John Ebel of Boston College, founding editor-in-chief of SRL; and Brent Grocholski of Science and editor of all seismology papers for the journal.  The workshop is free, but RSVP is requested.

2. Probabilistic Seismic Hazards Assessment: from Basics to Induced Seismicity

This workshop will introduce the key ingredients of Probabilistic Seismic Hazards Assessment (PSHA): seismogenic zonation and ground motion prediction equations. A set of seismogenic source models, sometimes termed as “earthquake rupture forecasts”, describes what kinds of earthquakes are possible in the future and how frequently they might occur. The model must specify the size distribution of these future earthquakes (the Gutenberg-Richter law), including an assessment of the maximum possible event size, their depth distribution and faulting styles. The historical and instrumental catalogs are often the primary information for defining source models and their quality, homogeneity and completeness needs to be assessed in detail. The determination of ground motion prediction equations involves developing a model that expresses the amplitudes of ground motion – peak ground acceleration, peak ground velocity, and spectral acceleration – as a function of earthquake magnitude, distance, site effects, and other factors; the model also needs to characterize the uncertainty and variability in the model. Such models are typically a blend of empirical regression constrained by seismological considerations regarding functional form. The two ingredients are then combined, most commonly using the PSHA method developed by Cornell (e.g. BSSA, 1968) and McGuire (e.g. 2004 EERI monograph). A common assumption has been that earthquakes are randomly distributed at a constant rate in time (i.e., stationary in time), but this is changing rapidly due to the influence of induced seismicity on earthquake occurrence. SSA and the Community Online Resource for Statistical Seismicity Analysis ( jointly present this workshop.

The workshop is scheduled for Monday, 17 April 2017, from 2 – 5 PM. Registration fee: $10 for SSA Student Members and Transitional Members; $50 for SSA regular members; $75 for Non-members.