Human-Centered Data Science book cover
Credit: The MIT Press

In this discussion, leading practitioners examine best practices for addressing the bias, inequality and ethical issues that may result from the age of automated data science.

Event begins 03:15

The live transcript is available

Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques.

Ahead of the release of a new book, written by founders of the field, this event explores the recommended approaches to addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets.

It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods.

This event also features a brief case study from Casey Fiesler, University of Colorado, exploring the ethics of scraping data.

About the Minderoo Centre for Technology and Democracy

The Minderoo Centre for Technology and Democracy is an independent team of academic researchers at the University of Cambridge, who are radically rethinking the power relationships between digital technologies, society and our planet.

We are based in CRASSH (University of Cambridge Centre for Research in the Arts, Humanities and Social Sciences)


– Cecilia Aragon, Professor, Department of Human Centered Design and Engineering, University of Washington

– Shion Guha, Assistant Professor, Faculty of Information, University of Toronto

– Marina Kogan, Assistant Professor, School of Computing, University of Utah

– Michael Muller, Research staff member, IBM Research

– Professor Gina Neff, Executive Director, Minderoo Centre for Technology and Democracy, University of Cambridge

– Casey Fiesler, University of Colorado