One thing Brendan mentioned at the beginning which really stuck out to me was this:
"Earthquake prediction has long been considered one of the hardest problems in all of science. It's a story that's extremely sad and almost entirely covered in failure." - (2:53)
Much of what we are presenting about in our projects relates to the history of our prediction system and the accuracy, which as Brendan mentioned, is almost nonexistent + a complete failure. Therefore, I will be spending a lot of the time covering prospective prediction systems for earthquakes, including modern GPS methods as well as earth's ionosphere methods both of which use machine learning, and evaluating their accuracy based off of very limited and emerging data.
To learn more about this prediction strategy we can visit this LiveScience article, which goes over the same GPS earthquake prediction strategy that Brendan described which holds significant promise in predicting earthquakes for the future. Additional information can be found in the following article from Phys.org which includes a helpful graphic showing the slips in the crust which indicate future earthquakes that may occur.
Price, K. (2023, July 27). Predicting earthquakes is currently impossible. GPS data could help change that. LiveScience. https://www.livescience.com/planet-earth/earthquakes/predicting-earthquakes-is-currently-impossible-gps-data-could-help-change-that#:~:text=GPS%20data%20can%20track%20slight,earthquakes%20two%20hours%20in%20advance.&text=Currently%2C%20it%20is%20impossible%20to,where%20an%20earthquake%20might%20strike.
Yirka, B. (2023, July 21). Using GPS as a possible earthquake predictor. Phys.org. https://phys.org/news/2023-07-gps-earthquake-predictor.html