معرفی
Simon Rudkin is a Senior Lecturer in Data Science and Social Statistics at the University of Manchester, affiliated with the Institute for Data Science and AI. He holds a PhD in Economics from the same institution (2008). His research focuses on Topological Data Analysis (TDA), particularly applying the Ball Mapper algorithm to social sciences and humanities. Key areas include regional productivity, health impacts of supermarkets, Brexit's economic topology, and digital economy policy. He welcomes PhD applications in TDA and statistical methodologies.
Research interests span TDA visualization and dynamics, multi-level modeling, and quantile regression. His work explores trajectories of regional growth, migration effects on economic cohesion, and voting behavior analysis. Recent studies include cultural gravity's role in growth redistribution and cryptocurrency market topology.
- Education: Doctor of Philosophy, Economics, University of Manchester (2008)
- Expertise: TDA, regional policy, social sciences, data science
- Affiliations: Institute for Data Science and AI, University of Manchester
Articles highlight TDA applications in financial markets, electoral geography, and health policy. His methodologies emphasize explainability and interpretability, aligning with sustainable development goals in education and regional policy.
