University of Wisconsin-Madison
Awarded jointly with the ASA’s Social Statistics Section, this scholarship supports work toward a career in government statistics. The scholarship encourages promising young statisticians to consider a future in government statistics by providing up to $1,000 for use in exploring any of a broad number of opportunities. The Wray Jackson Smith Scholarship (WJSS) was created to honor the memory of a founding member of the Government Statistics Section and a longtime contributor to federal statistics. Smith’s federal career spanned four decades and included positions in the Office of Economic Opportunity, Office of the Assistant Secretary for Planning and Evaluation, and the Energy Information Administration. After retiring from the federal government in 1983, he continued to play a role in federal statistics from the private sector.
This scholarship is for students and others early in their careers who show an interest in government statistics. Applicants must have a bachelor’s degree or equivalent level of education. Membership in the Government Statistics Section, Social Statistics Section, or ASA is not required.
Applications will be evaluated on relevance of the proposed activity to government statistics, quality of the proposed activity, innovation/ingenuity of the proposed project, feasibility of completion of the activity, the applicant’s career stage, and past performance as reflected in the letters of recommendation.
Applications are due by May 1, and the award will be announced in June.
A proposal for the activity to be funded, a completed application form, and two letters of recommendation should be submitted to Wray Jackson Smith Scholarship Committee.
For more information and a link to the application form, go to the Wray Jackson Smith Scholarship page on the Government Statistics Section’s website.
2018: Victoria Kennerley
2017: Sarah Tan
2016: Maria Cuellar
2015: Jonathan Auerbach
2014: Mauricio Sadinle
2013: Yuning (Jess) Chen
2012: Julia Shin-Jung Lee
2012: John Tipton