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In this seminar, David Williamson Shaffer will look at the transformation of the social sciences in the age of Big Data: how to resolve the dichotomy between qualitative and quantitative methods and go beyond simple “mixtures” of methods — and how this transformation makes it possible to build meaningful and fair analyses of data about learning, culture, and human experience.About the Speaker
David Williamson Shaffer is the Sears Bascom Professor of Learning Analytics in the Department of Educational Psychology, a Data Philosopher at the Wisconsin Center for Education Research, and Director of the Center for Research on Complex Thinking at the University of Wisconsin-Madison. Professor Shaffer’s Ph.D. is from the Media Laboratory at the Massachusetts Institute of Technology, and he has been a teacher, teacher-trainer, curriculum developer, and game designer. Professor Shaffer’s current work focuses on unifying statistical, qualitative, and critical methods to construct fair models of complex and collaborative human activity. His most recent book, Quantitative Ethnography, launched a field that incudes scholars from anthropology, cognitive science, computer science, education, engineering, environmental science, game design, geography, history, human–computer interaction, learning analytics, learning sciences, linguistics, medicine, psychology, robotics, sociology, and statistics.
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Event Venue & Nearby Stays
Moray House School of Education and Sport, Edinburgh, United Kingdom
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