Legal Issues in Computational Research Using Text and Data Mining

Join Princeton University Library for a workshop on legal issues in computations research using text and data mining (TDM). While computational research techniques such as TDM hold tremendous opportunities for researchers across the disciplines, legal uncertainty through copyright or restrictive terms of use associated with TDM, machine learning and/or AI, can stifle this research.

This workshop will survey existing law and policy and highlight pathways forward for researchers, including fair use and TDM-specific exemptions to copyright, particularly for users of materials covered by digital rights management (DRM) and other similar technology. We will also discuss limitations of the law and explore ways in which it might be improved.

This interactive, in-person workshop will take place from 11am to noon, followed by an optional Q&A session from noon to 12:30pm. A light lunch will follow the workshop at 12:30pm.

The workshop will be led by Dave Hansen, Executive Director of Authors Alliance. Authors Alliance is a nonprofit that exists to support authors who research and write for the public benefit. He is a copyright lawyer who has worked extensively to lower legal barriers to research, and has served as a co-PI for the Authors Alliance Text and Data Mining: Demonstrating Fair Use Project, funded by the Mellon Foundation.