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Blue Waters Webinars

Sustaining Open Source Software and Their Communities in Computational Geodynamics

Photograph Placeholder Lorraine Hwang

Associate Director
Computational Infrastructure for Geodynamics
University of California, Davis


Lorraine J. Hwang is the Associate Director at the Computational Infrastructure for Geodynamics at the University of California, Davis. Her research interests include sustainable software and preservation of historical seismogram data. She received her Ph.D. in Seismology from the California Institute of Technology.


Established in 2005 with funding from the National Science Foundation, the Computational Infrastructure for Geodynamics (CIG, is a partnership between solid-earth geophysics and computational science. CIG advances geophysics and related fields of research by developing and disseminating high quality, open source scientific software. CIG sustains its community by supporting community building and the implementation of best practices in software and training. CIG's Minimum, Standard, and Target Software Best Practices provide guidelines to developers who wish to share their code. However, to succeed and be sustainable, a software development project requires champions willing to invest in building a group of users through workshops, tutorials, and hackathons who can grow into user-developers and eventually, code maintainers. CIG Software Training Best Practices establish guidelines for both instructors and participants to maximize the benefits from CIG's training and events. Multi-day hackathons in the ASPECT software community have proven effective for growing both the code and the developer base, fostering peer mentoring relationships and new collaborations, and preparing the geophysics scientific workforce to be expert users and to contribute to scientific software.
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Session details

When: 10:00 CDT, May 15, 2019 will be rescheduled for Fall Spring of 2020
Length of session: 1 hour
Target audience: The webinar is intended for researchers and developers who are interested in good techniques for developing reusable scientific software.
Prerequisites: No prerequisites.