The study of collective action can benefit greatly from big data. Collective action is the study of how large numbers of individuals engage each other to accomplish a common task; big data illuminate how large numbers of individuals engage each other over time. Yet these data have yet to show how they can improve our […]
As far as I am aware, there are no contemporary machine-coded events data if you do not want to use GDELT.* Phil Schrodt and his colleagues are working on a GDELT replacement that promises to reduce event duplication and provide better geospatial resolution. Once that project, Phoenix, goes live, it will create real-time data based on 542 […]
Working with events data has long posed a fundamental dilemma. On one hand, the events one wants to study – state-sponsored killings, battles in a war, or protests, for example – have a complex, intertwined nature that requires either detailed case studies or detailed hand-coding of the events. On the other hand, gathering such detailed […]
My dissertation, still in its very early stages, seeks to understand how protests spread across countries, with a focus on the Arab Spring. One source of data I am exploring is Phil Schrodt and Kalev Leetaru’s Global Database of Events, Location, and Tone (GDELT), a machine-coded events dataset. (GDELT is an amazing resource; to read […]
This page is a repository of notes of things to remember, cool posts from around the political science blogosphere, and anything else I find interesting.
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