Government Statistics Section Wray Jackson Smith Scholarship
Carnegie Mellon University
For exploring the utility of multiplicity sampling in estimating the size of populations that are hard to reach or experience rare events and the potential of this methodology to affect public policy formulation and implementation.
About the Scholarship
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 April 1 each year, and the award is announced in mid-April.
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, c/o Linda Gage, 3210 Shelter Cove Ave., Davis, CA 95616 or email@example.com.
Please visit the award web page.