This session will continue to discuss earthquake early warning by using non-traditional ways – MyShake, which is a global smartphone seismic network that harnesses the power of crowdsourcing to detect earthquakes. In this talk, I will take you on a journey of the technical details of how we build the smartphone seismic network. The application running on the phone can detect the earthquake-like motion on the phone and confirm an earthquake on the server by aggregating data from multiple phones. It uses an Artificial Neural Network (ANN) algorithm running on the phone to distinguish earthquake motion from human activities recorded by the accelerometer on board. Once the ANN detects earthquake-like motion, it sends a message with a timestamp and location in near real-time back to the server, where it further confirms the presence of an earthquake based on a cluster of triggers from the phones both in time and space. At the same time, a 5-min time series data will be recorded and uploaded to the server. Based on the time series data, we also build a convolutional neural network running on the server to continue to classify the nature of the waveforms (earthquake or not). You can find more information at http://myshake.berkeley.edu/.

The first session of this mini course will take place on Monday, January 22 from 1:30 to 2:30 p.m.; the second session of this mini course will take place on Monday, January 22 from 3:00 p.m. to 4:30 p.m.