Skip to main
University-wide Navigation

2023 Spring Series Seminar: Dr. Dania Francis University of Massachusetts Boston

content tbd

2023 Spring Series Seminar: Dr. Huang Huang University of Kentucky College of Public Health

content tbd

2023 Spring Series Seminar: Dr. Bill Resh University of Southern California

Content TBD

2023 Spring Seminar: Lucas Taulbee, PhD Candidate University of Kentucky, Martin School

Lecture Content TBD

2023 Spring Seminar: Dr. Annelise Russell University of Kentucky Martin School

Tweeting Scared: Congressional Crisis Communication and Constrained Capacity

2023 Spring Seminar: Dr. Jiahuan Lu Rutgers University-Newark

Jiahuan Lu, Rutgers University-Newark How Do Nonprofits Manage Profits? Preliminary Evidence from Nonprofit Hospitals  

Fall 2022 Seminar Series Seminar: Bob Bifulco

This paper leverages new school-level finance data to estimate racial differences in exposure to low-income classmates and access to school funding across schools and school districts in U.S. metro areas. We begin by documenting within metropolitan area differences in average percentages of low-income students and in average per pupil spending for black, Hispanic, and white students. We consider the extent to which the disparities are due to differences across districts and to differences across schools within districts.

VOTES Indonesia Changemakers arranging information sessions with UK MPA students The organization is run by Farid Al Firdaus, MPA and Non-Profit Certificate student

To register for a session, visit

Wendell H. Ford Lecture John Della Volpe: "Gen Z’s fight to save America" 2022 Ford Lecture

Join us October 11 in Gatton B&E's Kincaid auditorium for John Della Volpe and an interactive Ford Lecture!

2022 Fall Seminar Series Seminar: Dr. Anjali Adukia

October 7th 11 AM at Gatton B&E Room 127, please join us for Dr. Anjali Adukia. Books shape how children learn about society and norms, in part through representation of different characters. We introduce new artificial intelligence methods for systematically converting images into data and apply them, along with text analysis methods, to measure the representation of race, gender, and age in award-winning children’s books from the past century.