The aim of this lecture is to a) define Computational Politics as a discipline lying at the intersection of Political science and Computer science and b) present the use of AI and IT tools in political data analysis.
Computational Politics has various subtopics, e.g.,:
Political system modeling and design
Community and citizen modeling
Information flow
Political discourse analysis
Election campaigns
Political history
Politics and Economics.
Computational Politics employs several AI and IT tools, e.g.,
Natural language Processing
Text sentiment analysis
Time series prediction.
Political network data analysis.