Abstract Machine learning models learn low-dimensional representations from complex high-
dimensional data. Not only computer science but also social science has benefited from the …

In this article, we develop a methodological approach for organizational research regarding
the construction of multidimensional and relational similarity measures by using the vector …

Distances derived from word embeddings can measure a range of gradational relations—
similarity, hierarchy, entailment, and stereotype—and can be used at the document-and …

How do you look back and memorialize a forward-thinking person? It is a testament to how
many lives John Mohr touched that since his death in 2019, he has been the recipient of a …

This dissertation contributes to the theory of segregation and methodologies to measure it.
The first two chapters focus on the traditional problem of quantifying segregation in …

The escalating climate crisis is a global social problem requiring multidisciplinary and multi-
institutional coordination to solve. In recent years, health practitioners and institutions have …