Thread: AGU Session S011: Applications of Data Science and Machine Learning

Dear Colleagues,



Please consider submitting your work to our session on *Applications of
Data Science and Machine Learning in Seismology**, *in the Seismology
Section of the 2017 AGU Fall meeting to be held December 11-15 in New
Orleans. Note the deadline for abstract submission is this coming *Wednesday,
August 2*.



*Session** ID: 26176*

*Session Title: S011. Applications of Data Science and Machine Learning in
Seismology*

*Session Description: *We currently are experiencing a dramatic increase in
the volume, variety, and velocity of data in seismology. Methods and tools
from data science and machine learning enable characterization of different
types of signals, noise reduction, event detection, phase identification,
seismic source characterization, inference of Earth’s seismic structure,
and novel visualizations. With all the data available to researchers and
practitioners in the field of seismology and advances in computational
systems, there are great opportunities for data science and machine
learning algorithms
to extract meaningful insights for reducing earthquake hazards,
understanding plate tectonics, earthquakes and earth structures, and
improving the detection and limiting the proliferation of nuclear weapons.
We encourage contributions on the methods and results of combining
techniques and tools from data science and machine learning with seismology.



You can submit your abstract here: https://agu.confex.com/agu
/fm17/preliminaryview.cgi/Session26176


We look forward to an exciting session with your participation!

Best,



*Timothy Draelos*, Sandia National Laboratories, Albuquerque, NM, United
States

*Qingkai Kong*, University of California Berkeley, Berkeley, CA, United
States

--
Qingkai KONG
Ph.D Candidate
Seismological Lab
289 McCone Hall
University of California, Berkeley
http://seismo.berkeley.edu/qingkaikong