My research investigates the capacity of political entrepreneurs to influence voting, media consumption, and public opinion with both digital and conventional tools. I am interested in the power and constraints of institutions and individuals to structure awareness, beliefs, and narratives about the economy.
I am a Ph.D. candidate in the Department of Politics at NYU and a Research Associate at the Social Media and Political Participation Lab. My ongoing work includes predictions of economic sentiment around the world with disciplined approaches to model selection inspired by machine learning. With my collaborators at NYU I also track voters’ attitudes with survey data augmented with behavioral outcomes.
My academic research has also contributed to the debate on the threat from populism.
How Many People Live in Political Bubbles on Social Media? Evidence from Linked Survey and Twitter Data
with Gregory Eady, Jonathan Nagler, Andrew Guess, and Joshua Tucker
PDF (open-access) | Summaries: Pacific Standard, Main chart | Show BibTex citation
I study how people with political objectives convey economic data, compete for office, and how they apply persuasion strategies in an environment where much of the electorate does not seek – or even actively avoids – direct exposure to political messages.
Politics now permeates into citizens’ screens, pockets, and any room where people carry cell phones. Many observers are concerned that inflammatory news, permanent campaigning, populist rhetoric, and echo chambers are eroding democracy. My published work shows that satisfaction with democracy has not decreased over the last decade, and other recent research challenges some of the received wisdom about “media bubbles.”
My goal is to improve our understanding of the connection between politics and economics through rigorous research. Before joining NYU, I have worked on projects related to discrimination, inclusive capitalism, and behavioral economics. Most of that work was done at MIT and at the Peterson Institute for International Economics.
Teaching. As a Data Fellow at NYU, I have advised undergraduate students on research design, tidying data, and interpreting empirical results. I strive to guide students to become clear communicators – big data is no excuse for cryptic writing or speaking. Earlier, I was a Teaching Fellow in the economics department at Harvard, and have taught courses covering topics including model selection, false discovery rates, classification and decision trees, the bootstrap and cross-validation.
Education. I am a graduate of the University of Chicago and of Harvard University.
“Trying to understand how Jeff Flake is leaning? We analyzed his Twitter feed.” Washington Post, Monkey Cage.
with Gregory Eady, Joshua Tucker & Jonathan Nagler
My paper on satisfaction with democracy was published on January 31, 2019. The journal is open access.
Recent/upcoming opportunities to meet:
Provo (July 2018)
Boston (Late August 2018)
Abu Dhabi (January 2019)
Chicago (April 2019)
Boston (Mid-July 2019)
Washington, D.C. (Late August 2019)
New York (most of the year)
I value face-to-face conversations with other social scientists, journalists, and other people.
If you are passing through the area and we have similar research interests, or if we follow each other on Twitter,
or if you would like to chat about economics, politics, or data science,
feel free to reach out. Even if we met a long time ago at a conference, I am happy to re-connect.
(But please understand that I sometimes take breaks from email and social media to attend to work obligations or to take time to think.)