Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Law
A Machine Learning Classifier For Corporate Opportunity Waivers, Gabriel V. Rauterberg, Eric L. Talley
A Machine Learning Classifier For Corporate Opportunity Waivers, Gabriel V. Rauterberg, Eric L. Talley
Faculty Scholarship
Rauterberg & Talley (2017) develop a data set of “corporate opportunity waivers” (COWs) – significant contractual modifications of fiduciary duties – sampled from SEC filings. Part of their analysis utilizes a machine learning (ML) classifier to extend their data set beyond the hand-coded sample. Because the ML approach is likely unfamiliar to some readers, and in the light of its great potential across other areas of law and finance research, this note explains the basic components using a simple example, and it demonstrates strategies for calibrating and evaluating the classifier.
Governing, Exchanging, Securing: Big Data And The Production Of Digital Knowledge, Bernard E. Harcourt
Governing, Exchanging, Securing: Big Data And The Production Of Digital Knowledge, Bernard E. Harcourt
Faculty Scholarship
The emergence of Big Data challenges the conventional boundaries between governing, exchange, and security. It ambiguates the lines between commerce and surveillance, between governing and exchanging, between democracy and the police state. The new digital knowledge reproduces consuming subjects who wittingly or unwittingly allow themselves to be watched, tracked, linked and predicted in a blurred amalgam of commercial and governmental projects. Linking back and forth from consumer data to government information to social media, these new webs of information become available to anyone who can purchase the information. How is it that governmental, commercial and security interests have converged, coincided, …