
About
Jack Bailey is a Lecturer in Quantitative Political Science at the Department of Politics, University of Manchester. His research focuses on electoral systems, Brexit impacts, and political volatility. He holds a PhD from the University of Manchester, supervised by Dr. Fieldhouse, Dr. Mellon, and Dr. Cantijoch Cunill (2022). Bailey has contributed to major datasets like the British Election Study Internet Panel and co-authored influential articles on post-Brexit electoral dynamics. He received the Victor d'Hondt Prize (2019) and Best Paper Award (2018). His work engages with topics such as voter identification laws, AI applications in survey coding, and regional voting patterns in England. Bailey has been featured as an expert on BBC Radio Manchester (2022).
- Key affiliations: Cathie Marsh Institute for Social Research
- Co-developed datasets: British Election Study Post-Election Surveys (2019-2024)
Research interests emphasize methodological innovation, including applications of AI in political analysis and quantitative electoral forecasting.
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