Feb 16, 2017

Awards nominations

Mortimer Spiegelman Award

The Applied Public Health Statistics Section of the American Public Health Association (APHA) invites nominations for the 2017 Mortimer Spiegelman Award, which honors a statistician below the age of 40 in the calendar year of the award who has made outstanding contributions to health statistics, especially public health statistics. The award was established in 1970 and is presented annually at the APHA meeting. The award serves the following three purposes:

1. To honor the outstanding achievements of both the recipient and Spiegelman

2. To encourage further involvement in public health by the finest young statisticians

3. To increase awareness of APHA and the Applied Public Health Statistics Section in the academic statistical community

The Spiegelman Award recipient must be a health statistician who has made outstanding contributions to statistical methodology and its applications in public health (broadly defined).

The award is open to early career investigators regardless of race, gender, sexual orientation, nationality or citizenship. Specifically, candidates must meet at least one of the following criteria:

• Candidate must be under age 40 throughout the award calendar year; or

• Candidate must have obtained a terminal degree in statistics or a statistics-related field in the last 10 years.

For those receiving a terminal degree after considerable professional experience, contributions during and subsequent to the degree will be considered by the committee, and nominators are strongly encouraged to contact the Committee Chair with any questions about whether the nominee qualifies as an early career investigator.

Please email a nominating letter that states the candidate’s date of birth and how their contributions relate to public health concerns, up to three letters of support, and the candidate’s CV to the award committee chair, Tyler VanderWeele, at tvanderw@hsph.harvard.edu. Nominations are due by April 1, 2017.

NISS 2017 Jerome Sacks Award

Nominations are being sought for the 2017 National Institute of Statistical Sciences’ (NISS) Jerome Sacks Award for Outstanding Cross-Disciplinary Research. The prize recognizes sustained, high-quality, cross-disciplinary research involving the statistical sciences.

An award of $1,000 will be presented during the NISS reception at the Joint Statistical Meetings (JSM) in Baltimore, July 29–August 3, 2017.

For more information, including a list of previous award winners, please see: www.niss.org/about/awards/jerome-sacks-award-outstanding-cross-disciplinary-research

To nominate an individual, submit as one PDF document the following information to sacksaward2017@niss.org by May 1, 2017: a nomination letter (maximum two pages); supporting letters from two individuals (other than nominator); and the nominee’s CV.

Questions about the award or the nomination process can be sent to the email address given above.

Leave a comment

*

Welcome!

Welcome to the IMS Bulletin website! We are developing the way we communicate news and information more effectively with members. The print Bulletin is still with us (free with IMS membership), and still available as a PDF to download, but in addition, we are placing some of the news, columns and articles on this blog site, which will allow you the opportunity to interact more. We are always keen to hear from IMS members, and encourage you to write articles and reports that other IMS members would find interesting. Contact the IMS Bulletin at bulletin@imstat.org

What is “Open Forum”?

In the Open Forum, any IMS member can propose a topic for discussion. Email your subject and an opening paragraph (to bulletin@imstat.org) and we'll post it to start off the discussion. Other readers can join in the debate by commenting on the post. Search other Open Forum posts by using the Open Forum category link below. Start a discussion today!

About IMS

The Institute of Mathematical Statistics is an international scholarly society devoted to the development and dissemination of the theory and applications of statistics and probability. We have about 4,500 members around the world. Visit IMS at http://imstat.org
Latest Issue