Past Sessions



What would you like to get out the AGU 2016 Fall Meeting? Do you have research you would like to share? Topics you would like to explore? Now is your chance to effect that by proposing a session for the meeting.

The deadline is one week away (4/20/2016).

We have created a web page to help community members organize their sessions.

A couple of points about sessions:

  • Note that oral sessions formats are not limited to simply 15 minute presentations. Other possible formats include panel discussions and lightning presentations of less than seven minutes. Further information about proposing such a session is provided below from the Fall Meeting Program Committee.
  • One may also propose a Union session, which is for topics with a broad interest beyond a single section
  • More information is here about types of sessions is here.
  • Sessions may be “collaborative”, i.e., they may be co-organized, cross-listed, co-sponsered, or a SWIRL. To help distinguish these concepts, AGU has created a flow chart to help proposers navigate the concepts and the submission process.
  • Other session submission info is available here.


Schedule of ESSI sessions

Here are a few highlights:

  • Poster Flashmob Monday from 3-3:40
  • Poster Flashmob Tuesday at 10am (Collaborations and Partnerships in Informatics)
  • Poster Flashmob Wednesday from 4-4:30pm (Data Science Careers: A Sampling of Successful Strategies, Pitfalls, and Persistent Challenges)
  • Leptoukh Lecture MW3014 Tuesday, 14:40 – 15:40: Toward a Digital Resilience (with a Dash of Location Enlightenment) Dawn J Wright, Environmental Systems Research Institute
  • Earth and Space Science Informatics Section Business Meeting/Reception Tuesday 6:30pm at Infusion Lounge 124 Ellis Street


2012 Fall Meeting – U32A – Towards a Global Cyberinfrastructure for the Geosciences

Peter Fox, RPI

  • Introductory Remarks

Paul Edwards, University of Michigan

Stefano Nativi, National Research Council of Italy

Tony Hey, Vice President, Microsoft Research

The Fourth Paradigm: Data-Intensive Scientific Discovery