The Little Dataset That Could functions as an outlet for a continuously curious researcher, Alex, who loves asking questions and finding answers with data.
Alex Albright is an economics PhD Candidate at Harvard. Her research interests are in labor economics, law and economics, social economics, and economic history. Her current research focuses on risk assessment scores as tools and subjects of study in the criminal justice system.
She is a Stone PhD Scholar in Harvard’s Multidisciplinary Program in Inequality & Social Policy and a Considine Fellow in Law and Economics. Alex graduated from Williams College (with a BA in math and economics) in 2014 and worked at Stanford Law School as an Empirical Research Fellow for John Donohue from 2014-2016. See her CV for more academic information.
Alex grew up in New York City and learned most adult concepts from Seinfeld re-runs. When she is not busy with R notebooks in Littauer basement or amusing side projects (the scope of this blog), she can be found diving (i.e., falling slowly) for frisbees.
- Personal Email:
alex.p.albright [at] gmail.com
- Academic Email:
apalbright [at] g.harvard.edu
- “If You Give a Judge a Risk Score: Evidence from Kentucky Bail Decisions”
- “Uncorking Expert Reviews with Social Media: A Case Study Served with Wine” (with Peter Pedroni and Steve Sheppard). Williams College Department of Economics Working Paper.
- “Examining the Lasting Consequences of the Tulsa Race Riots of 1921” (with Nathan Nunn and James Feigenbaum)
- “Can Judge Bias Training Reduce Racial Disparities in Bail Decisions?”
- “No Money Bail, No Problems? Evidence from a Pretrial Administrative Release Program”
- “One Size Does Not Fit All: The Shortcomings of the Mainstream Data Scientist Working for Social Good” (with Sarah Levine). 2015. Proceedings of the Bloomberg Data for Good Exchange.
- Built Harvard Grad Women in Econ website
- Harvard Econ Holiday Party Host (2018; Video Clip)
- R-Ladies Boston Talk (2018; Slides)
- Harvard Econ Holiday Skits (2018, 2017, 2016; G3 Video, G2 Video, G1 Video)
- Data is Plural Mentions (2019, 2017; 2019 Newsletter, 2017 Newsletter)
- Choropleths for The New Yorker (2015; Article)
- Predicting Angus Deaton’s Nobel Win (and subsequently winning $15) (2015; Proof)
- Math Colloqium on Benford’s Law (2014; Video)
- Gold Medal at the NYC Math Fair (2008; I have no proof of this one, but I promise my 15-year-old self was stoked)
Thanks to my Patreon supporters: Jeremy Singer-Vine, Jesse White, Emily White, Victor Luo, Annie Kaempfer, Jennifer Reed, and Tom Albright!
Become a Patron!