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.

EF11: Digital Experimentation and Peer Effects with Dean Eckles

Show notes: ide.mit.edu/news-events-media?type_1=podcast
What is a platform and do platforms represent a new form of industrial organization? Marshall Van Alstyne, professor at Boston University and research associate at the MIT Initiative on the Digital Economy, joins us for a conversation on these topics. We start by discussing the fundamental economics of platforms. Next, we attempt to tackle the following questions: What generates market power on platforms? Do platforms improve efficiency by internalizing externalities or do they create distortions? What are the sources of demand side network effects? Does Google create a competitive bottleneck? When is regulation of platforms appropriate? When should a firm adopt a platform strategy?

EF12: Platforms with Marshall Van Alstyne

In this podcast, Alex Teytelboym (Associate Professor at Oxford University) discusses his work on matching theory and refugee resettlement. The ongoing conflicts in the Middle East and North Africa have created a huge international refugee crisis. Over 100,000 refugees are permanently resettled each year, yet most are assigned to communities in a haphazard way. Alex believes that by using economic matching theory, and by carefully listening to the needs of communities and refugees, we can help more people and improve the quality of life for host towns. We begin the podcast by discussing various concepts in matching theory before moving to the refugee setting. Alex tells us how his proposed matching algorithms can help families with heterogeneous needs find places to live while taking into account the desires and capabilities of host regions.

Podcast

EF13: Using Matching Algorithms to Find Refugees Homes with Alexander Teytelboym

Economic Frontiers is a podcast about the frontier of economics research regarding technology, innovation, and digitization. Each episode brings in a leading researcher or research team for a discussion of their work and its broader implications. 

This podcast is sponsored by the MIT Initiative on the Digital Economy (IDE). The IDE is an effort focused on the impact of digital technology on businesses, the economy, and society. Drawing on MIT Sloan’s strengths in technology and innovation, its internationally recognized faculty, and more than a decade of research and partnership with MIT Sloan’s Center for Digital Business, the IDE is analyzing the broad sociological changes brought about by the advance and spread of digital technology.

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