Summary of 2008 Meeting of Artificial Intelligence Committee
Sue Ellen Haupt, Chair
The annual
meeting of the Committee on Artificial Intelligence Applications to
Environmental Science was held on Monday, January 21 in conjunction with the
AMS Annual Meeting, beginning at 7:00 P.M. at Mulate’s restaurant in
Attendees to All or
Part of the Meeting:
John Williams NCAR
John Trostel Georgia Tech
Philippe Tissot TAMU/Corpus Christi
Daniel Prouty TAMU/Corpus Christi
Haig Iskenderian MIT
Waylon Collins NOAA/NWS/CRP
Michael Richman Univ.
William Hsieh Univ.
Vladimir Krasnopolsky NOAA/NCEP/EMC
Francois Neville Univ.
Bill Myers NCAR
Caren Marzban Univ.
Robyn Ball TAMU/Corpus Christi
Sue Haupt, Chair
Items of Business:
i. Probability and Statistics is considering a smaller meeting for summer of 2010 and is looking for other committees to partner with them.
ii.
The 2010 AMS Annual Meeting will be in
i. Other disciplines have moved to “fresher” names, such as Computational Intelligence, Soft Computing, Data Mining. There was some discussion of the implications of each.
ii. Is “Applications to Environmental Science” necessary or helpful? Some commented that it likely came from a lack of confidence in the early committee members as to their place in AMS and we are now past that. Several of the non-committee attendees commented that this extended name is what attracted them to our sessions and our committee. Another comment is that it makes the committee easier to locate with a “google.”
The item was tabled - to be continued via email discussion.
i. Climate – Sue will talk to Jerry Potter and William Hsieh will coordinate.
ii. Satellites – Sue will investigate. Perhaps Dennis Boccippio would be an appropriate chair.
iii. Hydrology – Philippe will chair.
iv. Air Quality – Sue will talk to Mike Brown.
v. Radar – John Williams will talk to their chair and chair from the AI side.
Further Discussion
after AI Contest on Tuesday January 22:
Much discussion ensued post-processing the AI contest. Although there was some concern about sending wrong messages about one method being “better” than another, particularly when judged by a single metric, the group decided that it was a good thing, motivating, interesting, a good learning exercise, and fun. We would like to make the contest a “tradition.” It would be nice to motivate more “beginners” in AI. Some ideas for improving the contest:
- Pair inexperienced AI users with more experienced colleagues.
- Lead off the contest with an extensive introduction to AI.
- Finish off with a panel of “what learned.”
- Choose and disseminate data earlier, perhaps by late Spring, to get more classes to participate.
- Grow the contest by moving most of it to a poster contest. Limit the speaking slots to “invited” speakers based on a combination of performance and an attempt to showcase a variety of methods.
- Tie the metrics to how the data forecasts would be used. For instance, if the NWS forecasters would be judged by a specific metric, concentrate on that.
- Work to include “traditional” and “statistical” methods as well.
- Judge on a probabilistic basis: eg. ROC plots. Set a number and try for performance beyond a given baseline.
- Ranking is part of the motivation to do it. The cash prize is a nice bonus.
- Communicate via a listserve or Wiki or Google docs.
Other Business
Handled Later:
Conference Attendance
Summary:
SEH spot-counted in some sessions:
Special Session on Storm Surges: about 35, sometimes more
Joint Session with IIPS: 70-87
AI Contest: 26 (beginning), 37, 41 (end)
Joint with Probability and Stats: 37 (early), more second session but didn’t count
Joint with
Action Items to
complete via email and individual effort: