
4. COVID-19 Mobility Networks and Post-Publication Scientific Communication with Serina Chang
About this episode
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.
Get every episode summarized
Each time Diaries of Social Data Research publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Diaries of Social Data Research

20. Navigating the Shores of Computational Text Analysis Validity with Christian...
Diaries of Social Data Research

19. Constructing a Taxonomy of Implicit Hate Speech Grounded in Social Theory wi...
Diaries of Social Data Research

18. Gender Patterns in English-Language Fiction and Interrogating Data with Ted...
Diaries of Social Data Research

17. Hashtag Network Analysis and Interwoven Research Ethics with Ryan Gallagher...
Diaries of Social Data Research