I am a Postdoctoral Researcher at University of Zurich, specializing in applied economics at the intersection of culture and media.
My research examines the dynamics of cultural change, utilizing generative AI to quantify the values expressed across cultural markets at scale. Additionally, I study the economic implications of gender norms, examining how these societal standards shape the behavior of men and women in the broader economy.
What is new? Work from participation in in I4R AI Games!
“Generative AI boosts productivity across the expertise ladder” joint with many authors.
Generative AI is improving rapidly, but evidence on whether these advances translate into broad productivity gains across skill levels remains limited. We randomly assigned access to generative AI to 286 researchers, ranging from undergraduates to senior academics, during a seven-hour research assignment spanning economics, political science, psychology, and management. Participants reproduced published results, searched for errors, proposed additional analyses, and wrote referee reports. AI assistance increased successful reproduction, the discovery of verified errors, the production of expert-approved robustness checks, and the quality of referee reports. The gains span computational and written work. The results contrast sharply with our experiment two years earlier, in which AI-assisted teams performed similarly to human-only teams on most outcomes. Positive computational interactions suggest larger gains for graduate students and senior researchers than for undergraduates. Generative AI assistance now appears capable of raising productivity across much of the expertise ladder and across multiple dimensions of scientific work.
