Hometown:
Baldwinsville, New York
You work for both the Crime Lab and the Education Lab at the University of Chicago. Do the two areas intersect? What has been the most impactful project you’ve worked on so far?
The presence of crime and barriers to quality education both result from and perpetuate the overall lack of opportunity majority black and brown communities face due to planned segregation and systemic disinvestment. At the Crime and Education Lab, we think these two social problems are inextricably tied, and while my own work is concentrated in the education space, the programs I evaluate often simultaneously improve academic performance and reduce early involvement with the criminal justice system.
One of these programs is a personalized, in-school-day academic tutoring program run by Saga Education. Earlier analyses showed the program is effective across multiple subject areas and in many different large school districts. I am now testing how much of the effect would persist if the program were rolled out at a larger scale through randomized control trials that account for the relatively inelastic academic tutor supply and what effect cost-cutting measures might have on students’ academic growth. It’s been exciting to be able to equip a nonprofit organization doing incredible work with evidence they can use to secure funding, adoption and expansion of their program, and I am eager to develop evidence to inform solutions to the common problem of transforming small scale interventions into widespread policy initiatives.
What sorts of skills from the MPA program do you use in your work?
The emphasis all of our courses placed on presentation skills has helped me so much in my current position. I give a presentation at least once a week, and am constantly putting to use what I learned about commanding a room, distilling complex statistical concepts into digestible insights, and constructing a convincing argument.
I also daily draw from the skills I acquired in the program evaluation and data sciences courses -- the ability to quickly read and understand economic papers and use statistical software to conduct replicable impact evaluation.