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Ioannis Pitas (AUTH)
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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.
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