Answering ‘What is Computational Social Science?’

In this first video synthesizing some of the important themes covered at 2016’s second International Conference on Computational Social Science, or IC2S2, various academics and practitioners address the question of what is computational social science? The event itself, as Brian Uzzi from the Kellogg School of Management at Northwestern University explains in the introduction, brought […]

Categories: Big Data

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There’s a Guerrilla Movement to Protect Data

This probably isn’t how you envisioned a guerrilla movement … A snapshot from the data rescue workshop, “Protecting Climate Data in Times of Political Turmoil,” held at UCLA on Jan. 20. (Photo: Jennifer Pierre) On the United States’ Inauguration Day, a group of students, researchers and librarians gathered in a nondescript building on the north […]

Categories: Big Data, Editorial

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The Methodology of Inequality: A Chat with Samuel Myers Jr.

What we know and what we can prove are often quite separate, as any good researcher (or lawyer) will testify. Understanding that, Samuel L. Myers, Jr., has spent his career as both an academic and an advocate bridging that particular chasm, pioneering econometric methods to first study areas like law enforcement, housing, government aid and […]

Categories: Quantitative

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New Public Data Lab’s First Output: Field Guide to Fake News

A new “Public Data Lab” at the Institute for Policy Research at the University of Bath has produced its first fruit, A Field Guide to Fake News, which harnesses digital methods “to trace the production, circulation and reception of fake news online.” The use of digital methods, the guide observes, is not just sufficient but […]

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Avoiding The 7 Deadly Sins of Statistical Misinterpretation

This article was originally published on The Conversation. Read the original article. Statistics is a useful tool for understanding the patterns in the world around us. But our intuition often lets us down when it comes to interpreting those patterns. In this series we look at some of the common mistakes we make and how […]

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Mixed Methods Workshop Focuses on Community-Engaged Approaches

The “Designing Participatory Mixed Methods Research: Community-Engaged Approaches to Address Complex Problems” workshop involves community members, stakeholders, and academic researchers in all phases of the research process, including knowledge generation and decision-making. Presented by the Michigan Mixed Methods Research and Scholarship Program faculty, which include John Creswell and Michael Fetters, this workshop will engage individuals […]

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Archived: Big Data and Stats—What’s the Difference?

Hailey Mooney, the librarian for psychology and sociology at the University of Michigan, discussed the big data craze, misnomers about what exactly “big data” is, and how it differs from other stats in an event at the Association of College and Research Libraries conference on  March 23. Following on her webinar, “Data for the Non-Data […]

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Archived Webinar: Linking Data to Understand People in Context

Four researchers in the thick of tapping a broad array of information from disparate sources like administrative data, social media, smartphones, the Census, and experiments, and using that data to promote good policies for individual and communities, were panelists for a webinar in late February. A recording of that webinar appears below. “The New Big […]

Categories: Big Data, Opportunities

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With Big Data, the Method is Not the Message

Ever-larger parts of everyday social activity are influenced by vast, pervasive systems of digital computing technology. Such information systems produce digital information continuously, simultaneously and unequivocally from any interaction they afford with the user: be it the control of home appliances, tracking of fitness activity, or studying a course online.  Data collected from these systems […]

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