I am a Postdoctoral Fellow at the Laboratory for Innovation Science, a joint venture between Harvard's Business, Medical, and Engineering schools and headed by Karim Lakhani. I use computational and experimental methods to study why scientific ideas and theories succeed or fail. I received my PhD in Sociology at the University of Chicago, where I worked with James Evans to apply new computational social science techniques to study the publishing and diffusion of scientific knowledge.
My research focuses on how scientific discovery is affected by relationships, social interactions, and organizational factors. Two core themes in my work are:
- Resource allocation: How are financial and reputational resources allocated within the scientific community, and can these allocations be improved? I work with funding agencies and scientific journals to identify how the selection processes they use, such as peer review and selection panels, predispose them (often unintentionally) to select particular winners or losers, and to reward particular types of science.
- Influence and valuation: Can the value of a scientific work be measured? I use computational surveys to explore what types of works scientists value, how they influence one another, and whether these networks of influence can be distilled from the scientific literature. I aim to develop methods with which we can more effectively identify and allocate resources to important research.
Methodologically, I specialize in computational analysis of large datasets, highly targeted surveys, and field experiments. I apply these tools to data and field settings provided by partners like Harvard Medical School, Elsevier, and Public Library of Science.
See the Projects page for more details.