Hanes Walton, Jr. Award for Quantitative Methods Training
Call for Nominations:
The National Conference of Black Political Scientists (NCOBPS) is proud to announce the Hanes Walton, Jr. Award for Quantitative Methods Training, which provides scholarships to support participation in the ICPSR Summer Program in Quantitative Methods of Social Research. The scholarship is named after Hanes Walton, Jr., an attendee and supporter of the ICPSR Summer Program, a luminary in the study of American electoral politics and African American Politics, and a co-founder of NCOBPS.
The Hanes Walton, Jr. Award is a waiver of registration (tuition) fees for the 2023 ICPSR Summer Program’s four-week sessions, which include courses on a variety of topics, including introductory statistics and data analysis; regression analysis; Bayesian modeling; maximum likelihood estimation; game theory; network analysis; and quantitative issues in the study of race and ethnicity. Session dates will be announced soon. All courses are In-Person or Fully ONLINE. Awardees are eligible for a small book stipend. NCOBPS encourages faculty and graduate students from Historically Black Colleges and Universities, as well as women and minority graduate students and faculty at other institutions, to apply for the Hanes Walton, Jr. Award. There are no citizenship requirements, and awardees will be selected regardless of race, national origin, religion, gender, age, disability, or sexual orientation.
Applicants must sign up for the Summer Program courses they’d like to take at icpsr.umich.edu/SummerProgram and send the following materials to Professor Tyson King-Meadows (Tyson.KingMeadows@umb.edu):
- Cover letter indicating why you want to attend the ICPSR Summer Program and how the training will advance your career or completion of your PhD;
- Curriculum Vitae;
- Letter of support from your faculty advisor (certifying applicant ABD status) or department chair (attesting to applicant tenure-track or non-tenured status), submitted directly by the letter writer to the above email address; and
- A writing sample featuring your use of quantitative reasoning and statistical methods.