Writing on academic libraries, AI, digital scholarship, infrastructure, and research systems.
Academic libraries can decide how AI is implemented even when the technology is opaque and controlled by a small number of companies. The article develops a framework for selective adoption that protects professional judgment, transparency, labor, and the library’s public mission.
Describes an automated system for handling reference consultation requests using JavaScript and Google Forms.
Institutional guidelines for digital dissertations and theses.
Python scripts for bulk downloading dissertations from BePress platforms for digital preservation.
As Chair and Author of the CUNY Library Research Artificial Intelligence Task Force, developed guidelines for evaluating AI tools in research systems. Approved by CUNY Office of Library Services as official policy in October 2025.
An analysis of circulation activity and the immediate effects of changes to library loan periods and borrowing permissions.
Why the CUNY AI Lab uses open-weight models, with a comparison of model capability and operating cost for public higher education.
An account of DH Box as an attempt to make computational work more accessible in digital humanities classrooms.