
Visualizing location-specific differences in improv styles, scene preferences, and trends by Tom Williams, Ph.D.
This Improv Community Proportional Map is a visualization project created by Tom Williams, Ph.D., Associate Professor of Computer Science, Robotics, and Humanitarian Engineering at the Colorado School of Mines and Director of the MIRRORLab. Drawing on lineage data shared through the Improv Lineage Project, Dr. Williams applies computational and network-based approaches to examine location-specific differences in improv styles, scene preferences, and community trends. His work offers a systems-level lens on how improvisational practices cluster, evolve, and diverge across regions, revealing patterns that are often difficult to perceive through qualitative accounts alone. This page is dedicated to presenting Dr. Williams’ visualizations and acknowledging his original analytical framework, design choices, and scholarly contribution to the ongoing study of improvisational communities. Tom is also hosting his data at www.improvanalytics.com

Tom Williams is an Associate Professor of Computer Science at the Colorado School of Mines, where he directs the Mines Interactive Robotics Research Lab. Prior to joining Mines, Tom earned a joint PhD in Computer Science and Cognitive Science from Tufts University in 2017. Tom’s research focuses on enabling and understanding natural language based human-robot interaction that is sensitive to environmental, cognitive, social, and moral context. His work is funded by grants from NSF, ONR, and ARL, as well as by Early Career awards from NSF, NASA, and AFOSR.
"Degrees of Freedom: On Robotics and Social Justice" https://mitpress.mit.edu/9780262554...-of-freedom/ now available for pre-order.