Protest event analysis is the most common approach for social movement scholars as it is an unobtrusive and context-sensitive technique that can convert unstructured matter into large volumes of data, in a cross-national, cross-time and cross-issue comparative character. The us

Conflict event datasets like UCDP/PRIO, ACLED, UMD-START and LiveUAMap have become popular in the last decade to serve as important sources of situational awareness in violent zones and migration events. These datasets comb through news, local sources and the Internet to log vi

AI tools enable businesses and governments to categorize and connect with people more efficiently. What happens when the assumptions behind their design clash with the principles of liberal democracy? Considering the pandemic and its economic repercussions, the danger of algori

Merih Angin gave a tutorial on Agent-Based Modeling at SICSS-Istanbul 2020