IDeaSInterpretive Data Science
A scholarly community founded in 2019

An Interpretive Approach to Data Science

The Interpretive Data Science (IDeaS) community brings together management and organization scholars who study data, algorithms, and artificial intelligence in organizations. We combine qualitative and computational methods, and meet for a small, intensive conference most years. What began in 2019 as a collaboration between the University of Alberta and the University of British Columbia now spans institutions across North America and Europe.

7
Conferences since 2019
3
Countries hosted in
1 + 2
Volume and special issues
2027
Next conference

What we study

Our work draws together three topics that are normally studied in separate scholarly communities. Holding them together is the point: the methods we use to study organizations are themselves organizational phenomena worth studying.

Recent conferences

IDeaS meets for a small, intensive workshop most years, hosted by a different institution. Every event since 2019 is recorded here.

All conferences, 2019 to today →

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