[ESIP-all] AGU 2018 Fall Meeting - Geospatial Artificial Intelligence (GeoAI): Machine Learning in Earth Sciences

[Dawn Wright]

Dear Colleagues,

We are pleased to invite you to submit an abstract to our session on Geospatial Artificial Intelligence: Machine Learning in Earth Sciences for the 2018 Fall American Geophysical Union meeting on December 10-14, 2018 in Washington, DC. This is Session ID 50531 with full details at https://urldefense.proofpoint.com/v2/url?u=https-3A__agu.confex.com_agu_fm18_preliminaryview.cgi_Session50531.html&d=DwIGaQ&c=n6-cguzQvX_tUIrZOS_4Og&r=z_UkiNdaPPnn6f_5YCcwk8pcqAmUKyJq-jppGhCSDi8&m=OOhjzBQHOFUBhLArZHWzO8fcxwBLgJgFFyQbzLCrx98&s=l4AwMJc5fvlglIAbInSwrQTsUbb7Fo7vDLWKyGrYu6U&e=

We are particularly interested in demonstrations of machine learning to understand Earth systems in ways that are not possible with traditional approaches.

AGU 2018 Abstract submission is available at https://urldefense.proofpoint.com/v2/url?u=https-3A__fallmeeting.agu.org_2018_abstract-2Dsubmissions_&d=DwIGaQ&c=n6-cguzQvX_tUIrZOS_4Og&r=z_UkiNdaPPnn6f_5YCcwk8pcqAmUKyJq-jppGhCSDi8&m=OOhjzBQHOFUBhLArZHWzO8fcxwBLgJgFFyQbzLCrx98&s=P85VPuUQHHYiWm9LE-JnxN0CLXsnM8pHVBEhzjEDCsg&e=<https://urldefense.proofpoint.com/v2/url?u=https-3A__fallmeeting.agu.org_2018_abstract-2Dsubmissions_&d=DwMFaQ&c=n6-cguzQvX_tUIrZOS_4Og&r=XlutqUdSIpme1jvzl1iWog&m=B3NSnWOXNh12IqOOipxu-dIVZPj48mIOc_oZGrmvWg4&s=JixDX5o8jA82MimsgoQCMJK2WwHZd8AwQel1Uq0hNzQ&e=>. The deadline for abstract submission is Wednesday, 1 August 23:59 EDT.

Thanks for your consideration and see you in Washington DC!

Best wishes,

Orhun Aydin, Esri
OAydin at esri.com<mailto:OAydin at esri.com>

Emily Law, CalTech JPL
emily.s.law at jpl.nasa.gov<mailto:emily.s.law at jpl.nasa.gov>

Warren Wood, Naval Research Laboratory
warren.wood at nrlssc.navymil<mailto:warren.wood at nrlssc.navymil>

Jens Klump, CSIRO
Jens.Klump at csiro.au<mailto:Jens.Klump at csiro.au>

Dawn Wright, Esri
DWright at esri.com<mailto:DWright at esri.com>


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