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EF11: Digital Experimentation and Peer Effects with Dean Eckles

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Manage episode 172900911 series 1201860
Content provided by MIT_IDE. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT_IDE 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.
Show notes: ide.mit.edu/news-events-media?type_1=podcast This podcast is all about digital experimentation. We discuss why it's useful, why it's harder that it seems, and best practices. Our guest is Dean Eckles, who is an assistant professor at MIT Sloan and previously worked at Facebook as a research scientist. We begin the conversation by describing how the human-computer interaction approach to studying digital systems differs from the marketing approach. We then discuss digital experiments, and how they can be used to both study policy and to learn about behavior. We then discuss when 'big data' is necessary for experiments to be informative and the possibility of non-parametric methods for inference. Next, we move on to Dean's research on peer effects between users on Facebook. We finish with advice for researchers collaborating with the private sector.
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13 episodes

Artwork
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Manage episode 172900911 series 1201860
Content provided by MIT_IDE. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT_IDE 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.
Show notes: ide.mit.edu/news-events-media?type_1=podcast This podcast is all about digital experimentation. We discuss why it's useful, why it's harder that it seems, and best practices. Our guest is Dean Eckles, who is an assistant professor at MIT Sloan and previously worked at Facebook as a research scientist. We begin the conversation by describing how the human-computer interaction approach to studying digital systems differs from the marketing approach. We then discuss digital experiments, and how they can be used to both study policy and to learn about behavior. We then discuss when 'big data' is necessary for experiments to be informative and the possibility of non-parametric methods for inference. Next, we move on to Dean's research on peer effects between users on Facebook. We finish with advice for researchers collaborating with the private sector.
  continue reading

13 episodes

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