Overview

Understanding voter behavior and improving election prediction are vital for strengthening democratic processes and fostering informed political engagement. Advances in artificial intelligence, machine learning, and sophisticated polling methodologies enable more accurate insights into electoral dynamics across diverse political systems. These tools not only help forecast outcomes but also reveal patterns of participation, public sentiment, and policy influence. By integrating data-driven analysis with comparative political research, society gains the ability to enhance transparency, refine campaign strategies and better anticipate the needs and concerns of the electorate. Understanding Voter Behavior With Predictive Modeling unites cutting-edge research from across the globe to illuminate contemporary trends in electoral analysis. It showcases innovative approaches that leverage predictive models, artificial intelligence, and polling methodologies to advance the study of electoral behavior. Covering topics such as big data, party loyalty, and populist campaigns, this book is an excellent resource for academicians, data scientists, policy analysts, electoral consultants, political marketing experts, and more.

Full Product Details

9798337310381

Table of Contents

Reviews

Author Information

Dr Georgia Panagiotidou is a political scientist and researcher specializing in applied political analysis, comparative electoral studies, data science, and research methods. Over the past decade, she has been teaching quantitative and qualitative methodology, political marketing, and electoral analysis at multiple institutions, including Aristotle University of Thessaloniki, Hellenic Open University, the University of the Aegean, and for the University of Derby (Mediterranean College). A key focus of Dr Panagiotidou’s research lies in voter prediction through machine learning, the study of political behavior, and the promotion of civic engagement. She works as a postdoctoral researcher in the Horizon Europe project AI4GOV, which explores the integration of artificial intelligence in governance, and is actively involved in Sol4all and EUdream, two CERV-funded projects centered on political participation and civic engagement. In addition, she was the scientific leader of the cross-national study Youth Stand for the Future of Europe, commissioned by the European Union, where she coordinated a multi-country team investigating youth perspectives on European integration. Beyond these projects, Dr Panagiotidou has contributed to notable initiatives such as helpmevote.gr, Greece’s pioneering Voting Advice Application, and took part in the COST True European Voter project, further solidifying her expertise in comparative electoral analysis. Her research has been published in peer-reviewed journals, monographs, and edited volumes and she is the editor of the Understanding Voter Behavior with Predictive Modeling. She has presented her work at numerous international scientific conferences.

Tab Content 6

Countries Available