This might be of interest to you guys--I'd very much encourage considering
submitting an abstract.
*Seventh Symposium on Advances in Modeling and Analysis Using Python, 22–26
January 2017 in Seattle, Washington*
The Seventh Symposium on Advances in Modeling and Analysis
Using Python, sponsored by the American Meteorological Society, and
organized by the AMS Board on Environmental Information Processing
Technologies, will be held 22–26 January 2017, as part of the 97th AMS
Annual Meeting in Seattle, Washington. Preliminary programs, registration,
hotel, and general information will be posted on the AMS Web site (
http://www.ametsoc.org/meet/annual/) in late-September 2016.
The theme for the 2017 AMS Annual Meeting is “*Observations Lead the Way*”.
For the full description of the theme, please visit the AMS 2017 Annual
Meeting Web page at http://annual.ametsoc.org/2017/
Papers for this conference are solicited on
- Time series analysis
- Air quality
- Satellite data processing
- In-situ data analysis
- Python as a software integration platform
- Model intercomparison and ensembles
- Data intensive computation and big data
- Teaching and learning Python
- Connecting Python with other languages
The $95 abstract fee includes the submission of your abstract, the posting
of your extended abstract, and the uploading and recording of your
presentation which will be archived on the AMS Web site.
Please submit your abstract electronically via the Web by *1 August
to the AMS Web page at
abstract fee of $95 (payable by credit card or purchase order) is charged
at the time of submission (refundable only if abstract is not accepted).
Authors of accepted presentations will be notified via e-mail by
late-September 2016. All extended abstracts are to be submitted
electronically and will be available on-line via the Web. Instructions for
formatting extended abstracts will be posted on the AMS Web site. Authors
have the option to submit manuscripts (up to 10 MB) electronically by *27
February 2017*. All abstracts, extended abstracts and presentations will
be available on the AMS Web site at no cost.
For additional information please contact the program chairperson(s),
Johnny Lin (email: johnny@xxxxxxxxxxxxxx)
Ryan May, Ph.D.