Agenda: AI for Understanding Earthquakes Workshop – November 10, 2023
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Date: Friday, November 10, 2023
Time: 9:00 am – 7:30 pm EST
Location: Computing and Data Sciences (CDS) building at 665 Commonwealth Ave, 17th Floor
| 9:00 am – 9:30 am | Breakfast and Coffee
Introductions by Ayşe Coşkun |
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| 9:30 am – 10:20 am | Plenary Talk: Probing Seismogenic Faults with Machine Learning Speaker: Chris Johnson |
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| Session 1: Earthquakes from the Lab Scale to Active Faults | ||
| 10:20 am – 10:40 am | Applications of Machine Learning to Earthquake Physics: Learning from Lab Earthquake Prediction
Speaker: Chris Marone |
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| 10:45 am – 11:05 am | A (Very) Brief Introduction to Current Observational Earthquake Science
Speaker: Rachel Abercrombie |
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| 11:10 am – 11:30 am | Deep Learning of Seismograms
Speaker: Mostafa Mousavi |
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| 11:35 am – 12:00 pm | Discussion with three speakers – facilitated by: Brian Kulis | |
| 12:00 pm – 1:00 pm | Lunch | |
| 1:00 pm – 1:50 pm | Plenary Talk: Machine Learning for Data-Driven Discovery in Solid Earth Geoscience: Progress and Challenges Ahead
Speaker: Karianne Bergen |
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| Session 2: Integrating ML into Geoscience | ||
| 1:50 pm – 2:10 pm | Deep Clustering Analysis for Data Exploration and Anomaly Detection in Distributed Acoustic Sensing (DAS) Systems
Speaker: Peter Gerstoft |
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| 2:15 pm – 2:35 pm | Towards Learning Mechanical Models for Deforming Rocks, Augmented with Acoustic Information
Speaker: Ben Holtzman |
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| 2:40 pm – 3:00 pm | Differentiable Programming: Bridging the Gap Between Numerical Models and Machine Learning Models
Speaker: Daniel O’Malley |
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| 3:05 pm – 3:30 pm | Discussion with three speakers – facilitated by: Prakash Ishwar | |
| 3:30 pm – 3:50 pm | Coffee Break | |
| Session 3: AI Challenge winners + Machine Learning and Fault Slip | ||
| 3:50 pm – 4:00 pm | 1st Place Challenge Winner Talk – Team: “Not Our Fault”
Speaker: Artemii Novoselov, Stanford University |
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| 4:05 pm – 4:10 pm | 2nd Place Challenge Winner: Video Presentation – Team: “Pepsi Sessions”
Seyifunmi Adeboboye, Georgia Tech & Joses Omojola, University of Arizona |
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| 4:10 pm – 4:15 pm | 3rd Place Challenge Winner Talk
Efe Sencan, Boston University |
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| 4:20 pm – 4:40 pm | Earthquake Precursors and Forecasting Through the Lens of Laboratory Experiments
Speaker: Srisharan Shreedharan |
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| 4:45 pm – 5:05 pm | Using Deep Learning to Understand Variations in Fault Zone Properties: Distinguishing Foreshocks from Aftershocks
Speaker: Laura Laurenti |
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| 5:10 pm – 5:20 pm | Discussion and final thoughts facilitated by: Yannis Paschalidis | |
| 5:30 pm – 7:30 pm | Reception | |