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The Python pyCSEP toolkit for earthquake forecast developers
The RISE WP7 testing group and collaborators, led by Bill Savran from the Southern California Earthquake Center (SCEC), published a research article describing the Python package pyCSEP: a toolkit for…
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Prospective evaluation of multiplicative hybrid earthquake forecasting models in California
Toño Bayona and Max Werner (University of Bristol), in collaboration with Bill Savran (Southern California Earthquake Center) and Dave Rhoades (GNS Science New Zealand), prospectively evaluated the abilities of sixteen…
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Sustainable Research Software through Open-Source Communities
by William Savran and Maximilian Werner (reformatted from https://www.scec.org/article/700) A recent Eos article entitled “It’s Time to Shift Emphasis Away from Code Sharing” (Green and Thirumalai, 2019) describes a reality…
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Accelerating earthquake predictability research: prospective, open-science and community-driven evaluations of earthquake forecast models
William Savran, Max Werner, Thomas Jordan, David Jackson, David Rhoades, Philip Maechling and the working group for the Collaboratory for the Study of Earthquake Predictability Predicting the location, size, and…
News
pyCSEP v0.6.1 is now available on PyPI and conda-forge. Visit the GitHub page for more information.
Recent BlogS
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The Python pyCSEP toolkit for earthquake forecast developers
The RISE WP7 testing group and collaborators, led by Bill Savran from the Southern California Earthquake Center (SCEC), published a research article describing the Python package pyCSEP: a toolkit for…