The Statistical Computing and Graphics Award of the ASA Sections of Statistical Computing and Statistical Graphics recognizes an individual or team for innovation in computing, software, or graphics that has had a significant impact on statistical practice or research. The prize carries with it a cash award of $5,000 plus an allowance of up to $1,000 for travel to the next Joint Statistical Meetings (JSM) where the award will be presented.
Qualifications
The prize-winning contribution will have had significant and lasting impacts on statistical computing, software or graphics.
The Awards Committee depends on the American Statistical Association membership to submit nominations. Committee members will review the nominations and make the final determination of who, if any, should receive the award. The award may not be given to a sitting member of the Awards Committee or a sitting member of the Executive Committee of the Section of Statistical Computing or the Section of Statistical Graphics.
Nomination and Award Dates
Nominations are due by May 31, 2024. The award will be presented at the 2025 JSM (not this year's 2024).
Nominations should be submitted as a complete packet, consisting of:
- a nomination letter, no longer than four pages, addressing points in the selection criteria, please include a draft citation for news releases to be used if selected
- nominee's curriculum vita(e)
- a minimum of 3 (and no more than 4) supporting letters, each no longer than two pages
Selection Process
The Awards Committee will consist of the Chairs and Past Chairs of the Sections on Statistical Computing and Statistical Graphics. The selection process will be handled by the Awards Chair of the Statistical Computing Section and the Statistical Graphics Section. Nominations and questions can be sent to the Awards Chair. Non-winning nominees can be retained as nominees in subsequent years if the nominators agree.
Details
More details can be found here: https://community.amstat.org/jointscsg-section/awards/computing-graphics-award
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Philip Waggoner
YouGov // Columbia
https://pdwaggoner.github.io------------------------------