ECPR Roundtable #1 - Big data in political science
Update: 2023-03-22
Description
The round table offers a platform for discussion on the opportunities but also the challenges of big data in political science.
Technological changes allow us to collect huge amounts of data from many different sources. Never before have we seen such a detailed and extensive collection of data about people's behavior as now, in the age of the Internet. Big data advocates see the potential to raise new questions that we were unable to answer before large-scale datasets became available. However, big data is "no free lunch" and researchers face ethical questions around data protection and intellectual property rights.
Chairs: Dominik Duell and Lisa Lechner, University of Innsbruck
Speakers Kevin Munger, Pennsylvania State University Julia Schulte-Cloos, European University Institute Alexandra Segerberg, Uppsala Universitet
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Music by Lost Harmonies.
This podcast gives the views of the author(s), and not the position of the Department of Political Science.
This work by the Department of Political Science at the University of Innsbruck is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
Technological changes allow us to collect huge amounts of data from many different sources. Never before have we seen such a detailed and extensive collection of data about people's behavior as now, in the age of the Internet. Big data advocates see the potential to raise new questions that we were unable to answer before large-scale datasets became available. However, big data is "no free lunch" and researchers face ethical questions around data protection and intellectual property rights.
Chairs: Dominik Duell and Lisa Lechner, University of Innsbruck
Speakers Kevin Munger, Pennsylvania State University Julia Schulte-Cloos, European University Institute Alexandra Segerberg, Uppsala Universitet
----
Music by Lost Harmonies.
This podcast gives the views of the author(s), and not the position of the Department of Political Science.
This work by the Department of Political Science at the University of Innsbruck is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
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