We use machine-learning methods to study the features and origins of the Baconian program, a cultural and methodological paradigm viewed as providing the intellectual roots for modern economic growth. After building a machine-readable corpus of Bacon's works, we estimate a structural topic...

We generate and analyze data pertinent to the role of caselaw in England's economic development during the Industrial Revolution. Applying topic modeling to a corpus of 67,455 reports on English court cases, we construct annual time series of caselaw developments between 1765 and 1865. We then...

A characterization of the ideas of Francis Bacon and Edward Coke, two paramount English lawyer-scholars, provides insights into the nature of the legal-intellectual culture of early seventeenth-century England. To develop the insights we employ a methodology not previously used in this context,...

We use machine-learning methods to study the features and origins of the ideas of Francis Bacon, a key figure who contributed to the intellectual roots of a cultural paradigm that spurred modern economic development. Bacon's works are the data in an estimation of a structural topic model, a...

We use machine-learning methods to study the features and origins of the ideas of Francis Bacon, a key figure who contributed to the intellectual roots of a cultural paradigm that spurred modern economic development. Bacon's works are the data in an estimation of a structural topic model, a...