TDA Foundations
Core texts for understanding persistent homology and topological data analysis, from introductory primers to landmark research papers.
View list →Curated lists of key texts, each entry annotated with its relevance to the Counting Lives and TDA strands of this project. Lists are organised by topic and graded by level.
Core texts for understanding persistent homology and topological data analysis, from introductory primers to landmark research papers.
View list →Foundational texts in the history and methodology of poverty measurement, from Victorian social surveys to twentieth-century conceptual debates.
View list →Critical scholarship on algorithmic systems, data collection, and their disproportionate harms to marginalised communities.
View list →Histories of how statistical thinking developed and became embedded in government, science, and social life — essential context for understanding what numbers about poverty can and cannot tell us.
View list →Statistical and computational methods for applying topological data analysis to real datasets, including software references and probability theory for persistence diagrams.
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