Jeremy Foote

Get to Know Assistant Professor Jeremy Foote

My primary research interests are focused around understanding how online communities function as organizations and how they influence collective belief formation. My research typically use computational methods such as large-scale data analysis, simulation, or social network analysis. My primary teaching interests are focused on teaching computational methods, including programming in Python and R, visualization, and social network analysis, as well as social computing and online communities.

I typically work with graduate students who are interested in taking a computational approach to working with social media or online community data. I am a new professor and while I haven't yet acted as an advisor, I hope to follow the example of the wonderful advisors I have had. They encouraged me to develop my own projects, to lead my own research plan, and treated me like a peer.

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Jeremy Foote's current research is focused around using computational social science approaches like simulation and large-scale data analysis to study the early stages of online communities. His ongoing projects look at how people perceive their environment and decide which groups to participate in across a number of online and offline contexts, with the goal of understanding why some groups and organizations grow and succeed while most do not.

His research interests include:

•  online organizations
•  computational social science
•  collective behavior