Curriculum Vitae

Stephen Zweibel
Associate Professor & Digital Scholarship Librarian
Mina Rees Library, CUNY Graduate Center
365 Fifth Avenue, New York, NY 10016
szweibel@gc.cuny.edu

Professional experience

CUNY Graduate Center

Associate Professor and Digital Scholarship Librarian

2016–present

  • Consult with students and faculty on digital research, data, visualization, web publishing, preservation, and computational methods.
  • Teach graduate courses and workshops in programming, research computing, and AI-assisted development.
  • Serve as liaison for Computational Linguistics, Data Science, Data Visualization, Demography, Digital Humanities, and Geography/GIS.
  • Co-direct the CUNY AI Lab; designed and built the CAIL Gateway for shared model access, routing, policy, attribution, and quotas.

Hunter College

Visiting Lecturer

2012–2015

  • Built a responsive CUNY+ catalog interface and API and developed Augur for reference statistics.
  • Automated catalog operations, provided reference service, taught information literacy, and led programming workshops for CUNY librarians.

Education

  • MA, Liberal Studies, Digital Humanities — CUNY Graduate Center, 2016
  • MS, Library and Information Science — Palmer School, Long Island University, 2010
  • Bachelor of Liberal Arts — St. John’s College, 2008

Grants and awards

  • 2025
    Principal Investigator, Provost’s Innovation Grant, “Enhancing Web Accessibility Through Multimodal LLM Analysis” — $10,000
  • 2023
    Co-Principal Investigator, NEH Digital Humanities Advancement Grant for DHRIFT — $300,000
  • 2019
    Manager of Open Educational Resources, NEH Advancement Grant for the Digital Humanities Research Institute — $250,000
  • 2017
    Coordinator and workshop leader, NEH Start-Up Grant for the Digital Humanities Research Institute — $60,000
  • 2015
    Co-Principal Investigator, NEH Start-Up Grant for DH Box — $60,000
  • 2014
    Principal Investigator, ACERT Faculty Innovations in Teaching with Technology Grant — $2,000

Publications and guidelines

Selected presentations and instruction

  • 2026
    “Harnessing Agentic AI: Tools for Open University Infrastructure.” In Building Community-Oriented Infrastructures for AI Experimentation, Association for Computers and the Humanities.
  • 2026
    “Evaluating AI in Library Discovery.” CUNY library presentation.
  • 2025
    “What Happens When ‘Hacking’ Becomes Easy? Teaching Python in 2025.” Digital Humanities 2025, Lisbon. Panelist.
  • 2025
    “Introduction to JavaScript.” Digital Humanities Summer Institute, Montreal. Instructor.
  • 2024
    “DHRIFT: Digital Humanities Resource Infrastructure for Teaching Technology.” Digital Humanities 2024, Washington, DC. Poster with Lisa Rhody.
  • 2024
    “Web APIs with Python.” Digital Humanities Summer Institute, Victoria. Instructor.
  • 2019
    “Digital Humanities Research Institute.” Association for Computers and the Humanities, Pittsburgh. Panelist.
  • 2018–19
    “Web APIs with Python.” Digital Humanities Summer Institute, Victoria. Instructor.
  • 2017
    “DH Box.” Digital Humanities 2017, Montreal. Poster with Jojo Karlin and Patrick Smyth.

Teaching

AI-Assisted Programming

DHUM 78000 / DATA 78000 · Spring and Fall 2026

Python for Researchers

CUNY Graduate Center · Fall semesters

Introduction to JavaScript

DATA 70600 / DHUM 70600 · Spring semesters

Agentic AI for Library Practice

CUNY Office of Library Services · Spring 2026

Service

  • Chair and primary author, CUNY Libraries Research Artificial Intelligence Task Force, 2024–25
  • Author, Evaluating AI Tools in Research Systems, approved by the CUNY Office of Library Services, 2025
  • Member, CUNY Graduate Center IT Committee
  • Chair, Mina Rees Library Web Services Steering Committee
  • Reviewer, National Endowment for the Humanities digital humanities grants, 2016 and 2024
  • Reviewer, Graduate Center Provost’s Digital Innovation Grant proposals, 2017 and 2025

Technical areas

AI infrastructure and model evaluation; Python, JavaScript, and TypeScript; web applications and APIs; data analysis and visualization; digital preservation; library systems and metadata.

Last updated: September 2026