4. COVID-19 Mobility Networks and Post-Publication Scientific Communication with Serina Chang

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Diaries of Social Data Research

Katherine A. Keith, Naitian Zhou, & Lucy Li

20 episodes

2 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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4. COVID-19 Mobility Networks and Post-Publication Scientific Communication with Serina Chang

Diaries of Social Data Research

49 minutes 57 seconds

4 years ago

4. COVID-19 Mobility Networks and Post-Publication Scientific Communication with Serina Chang

We discuss the paper "Mobility network models of COVID-19 explain inequities and inform reopening" with first author and Stanford computer science PhD student Serina Chang. This paper's team of interdisciplinary authors include other computer scientists (Emma Pierson, Pang Wei Koh, and Jure Leskovec), sociologists (Beth Redbird and David Grusky), and an epidemiologist (Jaline Gerardin).

Serina shared with us challenges in navigating post-publication scientific communication and translating scientific research into real-world policy tools, as well as the success of grounding research questions in supporting the needs of real people.