Education
Ph.D. University of California, Los Angeles
M.A. University of California, Los Angeles
M.A. University of Chicago
B.A. University of British Columbia
I am a social scientist at the University of Copenhagen (DK) doing research on how new ideas come about, what we can do to help them along, and how they affect our lives once they arrive. Most of my attention goes to institutions and how they structure the way scientists at universities and in corporate labs search for the next big thing.
But I also think we can learn a lot from the occasional weird case study, like that time Nazis, Fascists, and the Mafia showed up to the 1933 World's Fair in Chicago; or the automated highway technology that companies like RCA, GM, and Toyota developed from the 1950s to the 1970s.
Ph.D. University of California, Los Angeles
M.A. University of California, Los Angeles
M.A. University of Chicago
B.A. University of British Columbia
Science is famously top-heavy, with rewards concentrated among a small elite. How does one climb their way into this slice of the hierarchy, and how does it affect career outcomes and knowledge accumulation? Do the elite look like the rest of us? This is a project funded the Independent Research Fund Denmark. I am currently a postdoctoral researcher on the project, working with co-PIs Mathias Wullum Nielsen at the University of Copenhagen and Jens Peter Andersen at Aarhus University. See the project website here.
Through the concentration of funding or even lab personnel, states seem to affect what research projects scientists choose to take on. But's hard to know if any of the impact was causal. This project has focused on tracking down unique counter-factual comparisons from history to better hone in on the impact governments have on knowledge accumulation and research careers. What happened to the accumulated knowledge around automated highways after the US government pulled funding in 1972? What happened to the field of meteorology when states pushed ahead when the returns to investment were murky at best? How did "small government" and "big government" affect the development of shortest-path algorithms in the 1940s and 1950s?