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Content provided by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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Diaries of Social Data Research

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Manage series 3280396
Content provided by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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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20 episodes

Artwork
iconShare
 
Manage series 3280396
Content provided by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
  continue reading

20 episodes

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