معرفی
Paul Clarke is a Professor at the University of Essex, affiliated with the ESRC Research Centre on Micro-Social Change (MiSoC). His work focuses on methodological advancements in causal analysis, longitudinal data analysis, and statistical modeling with applications in social and health research. He collaborates extensively on projects like Understanding Society, a major longitudinal survey, and develops innovative methods for causal inference, survey design, and panel data analysis.
Research Interests: Causal Analysis | Longitudinal Data | Statistical Modeling | Survey Methodology | Social Science Research | Health Applications
Recent work includes developing double machine learning for panel models, exploring hyperparameter impacts on causal discovery algorithms, and improving weighting schemes for survey data. His contributions bridge statistical theory and applied social science, addressing challenges in representativeness and mode effects in large-scale surveys.
Collaborations: Works with researchers like Annalivia Polselli (British Academy Postdoctoral Fellow), Damian Machlanski, and Yanchun Bao on methodological projects. Active in interdisciplinary teams at MiSoC and Understanding Society initiatives.
