Faculty member Dan Dohan smiling at the cameraOur very own Dan Dohan, Ph.D., has recently co-authored and published the scholarly article “The Promises of Computational Ethnography: Improving Transparency, Replicability and Validity for Realist Approaches to Ethnographic Analysis.”

This article argues that the advance of computational methods for analyzing, visualizing and disseminating social scientific data can provide substantial tools for ethnographers operating within the broadly realist “normal-scientific tradition” (NST). While computation does not remove the fundamental challenges of method and measurement that are central to social research, new technologies provide resources for leveraging what NST researchers see as ethnography’s strengths (e.g., the production of in-situ observations of people over time) while addressing what NST researchers see as ethnography’s weaknesses (e.g., questions of sample size, generalizability and analytical transparency).

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