Discusses challenges in comparing non-Euclidean data, proposing a Laplacian-based solution for graph alignment and exploring optimal transport for graph distance computation.
Explores the impact of economic measurement choices on data visibility and governance, emphasizing the importance of defining categories for understanding and policymaking.
