[ESIP-all] Call for Abstracts, AGU FM2018 Session : Predictive Analytics in the Earth and Space Sciences

Anirudh Prabhu prabha2 at rpi.edu
Wed Jul 4 10:01:31 EDT 2018

Dear Colleagues,

Apologies for cross posting. 

We cordially invite you to submit an abstract to the AGU-ESSI Session titled : Predictive Analytics in the Earth and Space Sciences 

Session Webpage : https://agu.confex.com/agu/fm18/preliminaryview.cgi/Session53348 <https://agu.confex.com/agu/fm18/preliminaryview.cgi/Session53348>
Description :  Data and Information analytics extends analysis (descriptive and predictive models to obtain knowledge from data) by using insight from analyses to recommend action or to guide and communicate decision-making. Thus, analytics is not only concerned with individual analyses or analysis steps, but with an entire methodology.
Predictive Analytics is a branch of data analytics that uses statistics, data mining, machine learning, modeling and artificial intelligence techniques to make assertions about the future or about currently unknown information. 
This session welcomes submission on any application of analytics which may be used to predict events, relationships, assertions, or any currently unknown information.

Deadline for Submission : August 1st, 2018.


Anirudh Prabhu, Rensselaer Polytechnic Institute
Shaunna Morrison, Carnegie Institution for Science
Xiaogang Ma, University of Idaho
Fang Huang, Rensselaer Polytechnic Institute

Anirudh Prabhu
Tetherless World Constellation
Rensselaer Polytechnic Institute
Troy, NY

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