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Diaries of Social Data Research
Katherine A. Keith, Naitian Zhou, & Lucy Li
20 episodes
3 days ago
Large-scale data has become a major component of research about human behavior and society. But how are interdisciplinary collaborations that use large-scale social data formed and maintained? What obstacles are encountered on the journey from idea conception to publication? In this podcast, we investigate these questions by probing the “research diaries” of scholars in computational social science and adjacent fields. We unmask the research process with the hope of normalizing the challenges of and increasing accessibility in academia. Music: Jon Gillick.
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Science
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All content for Diaries of Social Data Research is the property of Katherine A. Keith, Naitian Zhou, & Lucy Li and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Large-scale data has become a major component of research about human behavior and society. But how are interdisciplinary collaborations that use large-scale social data formed and maintained? What obstacles are encountered on the journey from idea conception to publication? In this podcast, we investigate these questions by probing the “research diaries” of scholars in computational social science and adjacent fields. We unmask the research process with the hope of normalizing the challenges of and increasing accessibility in academia. Music: Jon Gillick.
Show more...
Science
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14. The Past Decade of Computational Social Science Research with David Lazer
Diaries of Social Data Research
52 minutes 59 seconds
3 years ago
14. The Past Decade of Computational Social Science Research with David Lazer

In this episode, we talk with David Lazer, the University Distinguished Professor of Political Science and Computer Sciences at Northeastern University and the Co-Director of the NULab for Texts, Maps, and Networks. We discuss two seminal papers in computational social science he co-authored a decade apart: "Life in the network: the coming age of computational social science" (Science 2009) and  "Computational social science: Obstacles and opportunities" (Science 2020).

David shares with us events in his long and distinguished CSS research career. In the early 2000s, he helped gather a small group of people working on new "data streams" and how they intentionally created the term computational social science. He also talks about his own struggles on the academic job market, advice for aspiring CSS researchers, and a wish for better data availability structures.

Diaries of Social Data Research
Large-scale data has become a major component of research about human behavior and society. But how are interdisciplinary collaborations that use large-scale social data formed and maintained? What obstacles are encountered on the journey from idea conception to publication? In this podcast, we investigate these questions by probing the “research diaries” of scholars in computational social science and adjacent fields. We unmask the research process with the hope of normalizing the challenges of and increasing accessibility in academia. Music: Jon Gillick.