AI for Understanding Earthquakes Workshop – Hosted by BU Center for Information and Systems Engineering (CISE)
Event 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
Boston University Center for Information & Systems Engineering (CISE) organized a workshop to help better understand earthquakes and, in the longer term, contribute to advancing earthquake sciences using AI.
The in-person workshop brought together expert speakers who are earthquake scientists and AI/Data Science Researchers. Our goal as a community is to explore where AI can create a difference in this important field and create new collaborations and sustained interest in the topic going forward.
The workshop included an AI challenge. Participants of this challenge competed in predicting earthquake timing and surface displacement, based on the laboratory data provided by Penn State University in collaboration with Los Alamos National Laboratory supported by the Office of Science Basic Energy Sciences program. For details please visit the Kaggle site.
The winners of the AI Challenge are:
1st Place Team: “Not Our Fault” from Stanford University
Ian McBrearty, Artemii Novoselov, Xing Tan, and Yifan Yu
2nd Place Team: “Pepsi_Sessions” from Georgia Tech & University of Arizona
Seyifunmi Adeboboye and Joses Omojola
3rd Place Team: from Boston University
Challenge Organizers: Fatih Acun (BU), Sadie Allen (BU), Christopher W Johnson (LANL), and Ayse Coskun (BU)
Please view the Agenda.
Ayşe Coşkun, Director of CISE, Professor ENG (ECE, SE), Boston University
Christopher Johnson, Geophysicist, Los Alamos National Laboratory
Paul Johnson, Research Seismologist/Geophysicist, Los Alamos National Laboratory
Eren Kurshan, Executive in Residence, Princeton University
Brian Kulis, Associate Professor (ECE, SE)
Prakash Ishwar, Professor (ECE, SE)
Yannis Paschalidis, Distinguished Professor of Engineering (ECE, BME, SE), Director of Rafik B. Hariri Institute for Computing and Computational Science and Engineering
Rachel Abercrombie, Boston University
Karianne Bergen, Brown University
Peter Gerstoft, University of California, San Diego
Ben Holtzman, Columbia University
Laura Laurenti, La Sapienza Università di Roma
Chris Marone, La Sapienza Università di Roma
Mostafa Mousavi, Google/Stanford University
Daniel O’Malley, Los Alamos National Laboratory
Srisharan Shreedharan, Utah State University