[Esip-machinelearning] GSA 2021 Machine Learning Session Call for Abstracts

[Ziheng Sun]

Dear ESIP Machine Learning Cluster,

How are you doing! Hope you are having a good summer time.

I want to bring to your attention the session we organized in *GSA 2021* 
with the support from the GSA Geoinformatics and Data Science division. 
I would like to invite you to submit abstracts to the session for a oral 
talk. It is a wonderful opportunity to promote your ML research in the 
geoscience community to inspire and help address the impossibles in 
conventional geoscientific studies.

Here is the session info:

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*T173. Machine Learning for Advancing Data Analysis Toolkit in Geoscience*

Recent breakthroughs in AI (artificial intelligence) have provided 
unprecedented tools and approaches for enhancing the predictive 
capability of geoscientific models. The benefits of AI such as lower 
requirement on computing hours and resources, representation of 
stochastic processes, and interpretation of complicated workflows, are 
very promising to solve the grand challenges in geosciences or enlighten 
the discovery of Earth insights. The adoption of AI techniques in 
geosciences is increasing but is still at its early stage. Geoscientists 
are concerned about the interpretation, uncertainty, and costs of ML 
(machine learning) models. To address these concerns, learning about the 
off-the-shelf software and the existing best practices are the best way 
to start. This session aims to bring together community experiences on 
using ML in geoscientific research and convey the knowledge learnt from 
successful use cases to inspire GSA members to utilize ML as a new 
powerful tool to tackle difficult questions in their specific domains. 
This session is in great demand for geoscientists to surf on the giant 
AI wave that is happening across all the spectrum of sciences.

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*GSA Abstract Submission Deadline*: *July 20*

*GSA conference website: https://community.geosociety.org/gsa2021/home*

Any questions please don't hesitate to contact us. Thank you!

All the best,

Ziheng

-- 
Ziheng Sun, Ph.D.
Center for Spatial Information Science and Systems
Department of Geography and Geoinformation Science
George Mason University
E-mail: zsun at gmu.edu
Tel: 1-703-993-6124
Website: http://zihengsun.github.io
Mailing address: 4400 University Drive, MSN 6E1, Fairfax, VA 22030

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