All Data Are Local

All Data Are Local is a tremendous contribution to emerging scholarship that seeks to counter transcendent narratives of data and recover its social, cultural, historical, geographical, and material contexts. Loukissas grounds an inspiring theoretical analysis in rich and detailed examples that give us valuable insight into how data comes to be, what datafication produces, what it obscures—and how we might craft alternatives.

Paul Dourish, Chancellor's Professor of Informatics, University of California, Irvine, author of The Stuff of Bits: An Essay on the Materialities of Information

In a time when many are trying to understand what comes after big data, Loukissas offers a crucial reframing of data as a thing rich in context and deeply connected to place and to local knowledge. Designers, developers, and data scientists will find much value in the detailed, practical case studies. Essential reading for anyone interested in what the future of data holds.

Jer Thorp, Data Artist

In an era of data hype, where scientists and politicians make claims about data that bounce between the messianic and the apocalyptic, Yanni Loukissas has written a sober corrective. We need to understand where, how, and with what media data gets made. What he calls the locality of data is the key to turning data into real knowledge, rather than just more and more information. Loukissas is a rare participant in this debate—one who actually knows how to work with data—and he writes about the beautifully designed things he makes with an elegant clarity and a fine critical eye. If you want to see the ways in which data, design, and politics can best inform each other, you need to read this book.

Laura Kurgan, Associate Professor of Architecture and Director for the Center for Spatial Research, Columbia University

This is a very interesting and, I think, an important book, which everyone involved in data science should read. It is not a text book, but certainly could be an item of additional reading in any data science course.

Information Research