The datafication of societies has accelerated substantially over the past decade. As observed by Bernard Stiegler, societies have entered into a "chrysalis" stage in their data-metamorphoses. Institutional variation and cultural differences have begun to shape new forms data governance, instigating species differentiation. My work seeks to understand how divergent technology development trajectories are restructing sociotechnical dynamics, altering economic development, and changing how human soceties function. 

My work fits under the umbrella of a research agenda that I refer to as "comparative data ecologies." An ecological approach considers the way that data flows through societies, structuring relationships and mediating interactions. What emerges is a shifting landscape of data flows, revealing complex dynamic patterns that reflect institutional dynamics and power distributions. My dissertation project studies the construction of unique data ecosystems in the US, the EU and China. Data ecologies are the soil out of which AI technologies grow; the terroir has a significant impact of the flavor profile of the final product.

I see myself as an interdisciplinary social scientist, and draw my inspiration from comparative political economy, science and technology studies (STS), surveillance studies, organizational studies and sociology. My work has been published in Economy and Society, Big Data and Society, and Surveillance and Society, which coincidently happen to be three of my favorite journals. The main conferences that I attend are those of the Society for Social Studies of Science (4S), and the International Studies Association (ISA).