Does This Machine Learning Model Predict Large Earthquakes? Maybe Not [critique]
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https://doi.org/10.62481/e64960d4 <-- shared technical article
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https://doi.org/10.1038/s41467-024-51596-z <-- shared ‘original’ paper referenced
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“Girona and Drymoni (2024) [paper link above] build a machine learning model that apparently sees hidden earthquake signals during the weeks to months before two large (M7+) earthquakes in Alaska and California...
But does the study hold up to scrutiny? We replicated their results, and then further tested the method...
We conclude that the model simply does not work, and that the study does not provide any new evidence for abnormal low-magnitude seismicity prior to large earthquakes…”
#GIS #spatial #mapping #critique #reproducibility #research #earthquake #risk #hazard #AI #machinelearning #model #modeling #signals #prediction #forecasting #Alaska #California #dataanalysis #temporalanalysis #spatialanalysis #spatiotemporal #stress #regional #precursors #replication
Does this machine learning model predict large earthquakes? Maybe not.

We examine a new earthquake paper in Nature Communications.

Earthquake Insights
#introduction I've been here for a few weeks, but have yet to introduce myself! I'm a #cogneuro & #quantpsych researcher at The University of Utah studying #pain #perception & #emotion with a focus on how perceptual and emotional processes interact over time using #psychophysics #intensivelongitudinalmethods #DynamicSystems #bayesianestimation . Lover of all things time #timeperception #temporalanalysis and quant. I love #Stats & #Programming , and enjoy teaching these methods to others.