NeurIPS AI for Earth Sciences Workshop

This workshop seeks to discuss work at the intersection of earth science and machine learning, bringing together scientists working on important geoscientific and planetary challenges together with machine learning specialists. This workshop encompasses both applied and theoretical work from both fields.

CALL FOR PAPERS

There is currently a call for papers demonstrating machine learning techniques in fields related to earth-systems science, including, but not limited to: atmospheric science, water systems, geoscience, ecology, sensing, and human-earth interaction. The organizers especially invite submissions which demonstrate new models that address special needs within the earth science community such as small datasets, physics-constraints, and/or human-guided learning systems. The workshop will feature a special track devoted to new earth-science datasets.

Please see Session Info for more detailed information and examples of applicable work.

Workshop Date: Saturday, December 12th PDT
Paper deadline: October 7th midnight PDT
Notification: Oct 30th
Location: Virtual
Submission Link: CMT

Papers are to be no more than 4 pages (excluding references and appendix) and should be presented in the NeurIPS format. Reviews will be double blind.

PARTICIPANTS

Register for this virtual workshop on the NeurIPS website