Dear R-help listers,
The Statistical Computing and Graphics Award of the ASA Sections on Statistical
Computing and Statistical Graphics recognizes an individual or team for
innovation in computing, software, or graphics that has had a great impact on
statistical practice or research. The past awardees include Howard Wainer
(2021), Luke Tierney (2019), Bill Cleveland (2016), and Robert Gentleman and
Ross Ihaka (2010). The prize carries with it a cash award of $5,000 plus an
allowance of up to $1,000 for travel to the 2023 Joint Statistical Meetings
(JSM) where the award will be presented.
Qualifications
The prize-winning contribution will have had a significant and lasting impact
on statistical computing, software or graphics.
The nominee should be a member of the ASA. The Statistical Computing and
Graphics Award Committee 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 on Statistical Computing or the Section on
Statistical Graphics.
Nomination and Award Dates
Nominations are due by May 31, 2022. Nominations should be submitted as a
complete packet, consisting of:
- a nomination letter, no longer than four pages, addressing points in the
selection criteria
- 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 committee will meet at
the 2022 JSM to select the recipient(s) of the award. Nominations and questions
are to be sent to Dr. Raymond Wong, the Awards Chair of both sections, at
rayw...@tamu.edu.
Best,
Raymond
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
