My research looks at how automated data analytic technologies are reconfiguring work and organizations, specifically at standardization and decision-making as it relates to repair work. Of particular interest is the development of novel forms of expertise that call into question some long-standing assumptions about the boundaries between technical and nontechnical skills and the value we assign to diverse forms of knowledge (increasingly read as "data") work.
One of the primary motivations of my research agenda is my belief that productive grappling with the ethics of machine learning technologies and artificial intelligence depends on our empirical understanding of their social implications in a variety of institutional contexts. My approach demonstrates that, although data analytic technologies cannot be separated from their social and material contexts, we can understand much of how they are situated in these contexts by examining how organizations and people work with and around them.
I am currently a postdoctoral researcher in the Department of Science & Technology Studies at Cornell University.