Key research themes
1. How did epistemological transformations shape the development of exploratory and foundational statistical methods and practices in the 18th to 20th centuries?
This theme examines the intellectual and methodological evolution of statistics from early empirical and inductive philosophies to the formulation of modern foundational statistical theories, emphasizing the transformation from descriptive and realist approaches to empiricist and hypothesis-generating practices. It highlights how philosophical currents such as Baconianism and empiricism influenced the emergence of exploratory statistics, and how foundational statistical concepts were unified and formalized in the early 20th century to shape contemporary scientific inference.
2. What socio-political and institutional factors influenced the production and use of statistics as instruments of governance from the 17th to the 20th centuries?
This theme focuses on the historical interplay between statistical knowledge and socio-political structures, exploring how statistical practices emerged intertwined with state-building, reformist movements, and institutional mandates. It investigates how statistics served as tools for making societies legible, mobilized for social projects such as labor reform and minimum wage legislation, and shaped by both colonial and international organizational contexts. Studies reveal statistics as embedded in power relations and normative frameworks governing statecraft and social control.
3. How can modern computational and digital methods illuminate the intellectual development and thematic evolution of statistical sciences over the past century?
This theme addresses the application of digital humanities and computational text analysis techniques to large corpora of statistical literature, providing novel quantitative insights into the thematic, methodological, and social evolution of statistics as an academic discipline. By leveraging topic modeling and network analysis, these approaches uncover shifts in intellectual focus, collaborative communities, and the emergence and decline of key ideas and methods, thereby enriching the historiography of statistics with systematic, data-driven perspectives.