Insights into human behavior from digital traces and cultural artifacts
Visiting speaker
Mikaela Fudolig
Postdoctoral Researcher, University of Vermont
Recent advances in technology have made the use of large, passively collected data common in computational social science. As a postdoc, I have worked on studying human behavior in a wide variety of domains using digital traces and cultural artifacts, and will discuss some of my work in this talk. In particular, I will discuss using call detail records to study the link between internal migration and mobile communication patterns; obtaining the relationship between sentiment and word co-occurrence in political tweets; and characterizing changes in word usage to study book structure.
About the speaker
About the speaker
Mikaela Fudolig is a postdoctoral researcher at the Computational Story Lab at the University of Vermont, where she works with her supervisors, Profs. Chris Danforth and Peter Dodds. While her academic background is in physics, her research now aligns with computational social science, complex systems, and data science. Her main research interest is in understanding human behavior through digital traces and cultural artifacts. She has worked on a wide variety of topics, including mobile communication, migration, social media, books, music, and wellness.
Mikaela Fudolig is a postdoctoral researcher at the Computational Story Lab at the University of Vermont, where she works with her supervisors, Profs. Chris Danforth and Peter Dodds. While her academic background is in physics, her research now aligns with computational social science, complex systems, and data science. Her main research interest is in understanding human behavior through digital traces and cultural artifacts. She has worked on a wide variety of topics, including mobile communication, migration, social media, books, music, and wellness.
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