Understanding Voter Behavior With Predictive Modeling

Edited by:   Georgia Panagiotidou
Imprint:   IGI Global
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 30mm
Weight:   1.161kg
ISBN:   9798337310374
Pages:   400
Publication Date:   10 September 2025
Audience:   General/trade ,  ELT Advanced
Format:   Hardback
Publisher's Status:   Active

Georgia Panagiotidou holds a PhD in Political Sciences with a specialization in applied political analysis. She has been teaching since 2016 at the School of Political Sciences of Aristotle University of Thessaloniki, as well as in the postgraduate program ""Governance and Regional Development"" as an academic scholar and adjunct lecturer. Additionally, she teaches as Collaborating Teaching Staff in the postgraduate program ""Public Administration and Electronic Governance"" at HOU and is a postdoctoral researcher in the Horizon Europe - AI4GOV program on artificial intelligence in governance. Her research interests and scientific activity focus on the analysis of political competition, parties, and electoral behaviour, and the identification of typologies of voters, candidates, parties, and issues using comparative data analysis methods under the ""Candidates-Parties- Issues"" scheme. She participates in research projects at the Laboratory of Applied Political Analysis of AUTH, she was member of the research team for Greece's first electronic Voting Advisor Application (VAA) in 2010 (helpmevote.gr) and participated in the COST True European Voter research project. Furthermore, she has conducted extensive empirical comparative research on political and electoral behaviour in Greece and at a pan-European level on behalf of European Union entities. She systematically participates in international scientific conferences with presentations of her research work and has published her scientific works in scientific journals and collective volumes. She is a member of the Hellenic, American, and International Political Science Associations (HPSA, APSA, IPSA), the International Federation of Classification Societies (IFCS), and the Greek Society for Data Analysis (GSDA).