I was broadly interested in understanding how public data curators embedded socially desirable values like privacy and confidentiality protections, equity, and reproducibility into their data publishing practices. My methodological research combined tools from theoretical computer science and computational social science to design and characterize complex structured errors induced by these practices. In doing so, I aimed to demonstrate how these data curator interventions affected reproducible social science and evidence-based policymaking. Additionally, my qualitative research investigated the sociological and normative dimensions of how these interventions were implemented in practice; in particular, I was interested in translational gaps between formal mathematical approaches and sociological approaches to ethics and values in data publishing, especially as applied to law and policy. My work at MIDAS continued this research in collaboration with the Inter-university Consortium for Political and Social Research (ICPSR), at the Institute for Social Research (ISR).
- Science Mentor: Yajuan Si, Institute for Social Research