March 27-28, 2025

Montana State University

Bozeman, Montana

The Future of Research in the Age of AI

For decades, historians and digital humanists have been at the forefront of collaborative, computational and digital research, but the scale, volume and complexity of historical records have expanded far beyond the capacity of individual scholars to organize. Researchers are increasingly engaged with questions of data sovereignty, access and preservation. Despite the significance of historical records across many fields of research — from biological sciences, ecology and earth sciences to legal and political science — federal and private foundation funding for historical research, often tailored for individual researchers, has remained largely static. As federal agencies support multi-institutional centers, or “engines,” to drive research in the natural and social sciences, historians are considering similar modes of organizing historical research.

This conference explores the possibilities and challenges of large-scale research in the age of AI and machine learning. What models of large-scale research are suitable for historians and allied disciplines across the humanities and social sciences? What discoveries and opportunities are possible when these scholars engage in large-scale research? What can researchers from the natural, physical, and computational sciences share about the demands of large-scale research in the age of machine learning and AI? And how can scholars work with federal agencies and private foundations to support research on a scale appropriate to advance their disciplines? The conference will allow colleagues to reflect on the opportunities and challenges for conducting large-scale research and creative inquiry in the age of AI.

 

 

Thursday, March 27

Museum of the Rockies

 

  9:30-10:00 a.m.
 

Welcome

Topic: The future of large-scale research in the age of AI

Speakers:

  • William G. Thomas III, Dean of the College of Letters and Science and Professor of History, Montana State University, and Vice President, Research Division, American Historical Association
  • Sarah Weicksel, Director of Research and Publications, and Incoming Executive Director, American Historical Association
  10:00-11:30 a.m.
 

Session I: Project Showcase - Large-scale research in History

Presentations:

  • "Calculating the Health and Mortality of African American Refugees on Civil War Federal Plantations: The Promise of Large-Scale Research"
    • Thavolia Glymph, Peabody Family Distinguished Service Professor, Duke University and American Historical Association
  • "Distant Viewing: AI, Archives, and Exploring the Past"
    • Lauren Tilton, E. Claiborne Robins Professor of Liberal Arts and Digital Humanities, University of Richmond
  • "Hacking the Archives: Using AI to Explore the History and Future of Official Secrecy"

 

  12:00-1:30 p.m.
 

Lunch provided for registrants

  1:30-3:00 p.m.
 

Session II: Project Showcase - Large-scale Research in History

Presentations:

  • "Petitioning for Freedom & the 50-State Solution to Legal Indexing"
  • “Making of Enslaved.org: Peoples of the Historical Slave Trade"
  • "The Hermitage Plantation Register: A Case Study in AI-Assisted Handwritten Text Recognition for Historical Research"
    • Loren Moulds, head of Digital Scholarship and Preservation, University of Virginia School of Law

Discussants:

  • Cascade Tuholske, Assistant Professor of Earth Sciences, Montana State University
  • John Sheppard, Distinguished Professor, Gianforte School of Computing, Montana State University
  3:00-4:00 p.m.
 

Coffee Break with refreshments

  4:00-5:30 p.m.
 

Public Keynote Panel: "What is Creativity in the Age of AI?"

Museum of the Rockies Auditorium

Welcome:

  • Sarah Weicksel, Director of Research and Publications, and Incoming Executive Director, American Historical Association (moderator)

Panelists:

  • Cat Dale, Associate Professor of Film and Film Studies, College of Arts and Architecture, Montana State University
  • Thavolia Glymph, Peabody Family Distinguished Service Professor, Duke University and American Historical Association
  • William G. Thomas III, Dean of the College of Letters and Science and Professor of History, Montana State University

Q&A

 

 

 

Friday, March 28

Montana State University Alumni Foundation Building Conference Room

  9:00-10:15 a.m.
 

Roundtable Discussions, Session I: Large-Scale Research, Data Sovereignty, Ethics and AI

Moderators:

  • Kristen Intemann, Director, Center for Science, Technology, Ethics & Society, Montana State University
  • Nick Lux, Professor and Curriculum & Instruction Program Leader for Department of Education, Montana State University
  • Sarah Mannheimer, Associate Professor and Data Librarian, Montana State University Library 
  • Scott Young, Associate Professor and User Experiment & Assessment Librarian, Montana State University Library

Table sessions with participants and guest scholars

  10:15-10:30 a.m.
 

Break

  10:30-11:45 a.m.
 

Roundtable Discussions, Session II: AI and Writing and AI across the disciplines

Moderators:

  • Jason Clark, Professor and Head of Research Optimization, Analytics and Data Services, Montana State University Library
  • William Fassbender, Assistant Professor of English, Montana State University
  • Michelle Miley, Associate Dean, College of Letters and Science, Director of the Writing Center, Montana State University

Table sessions with participants and guest scholars

 

12:00 noon

 

Lunch provided for registrants

 

12:00-1:30 p.m.

 

Roundtable Strategy Session

Moderators:

  • William G. Thomas III
  • Sarah Weicksel

Table sessions on possible funders, research centers, and interdisciplinary research (MSU faculty, conference participants, guest scholars, AHA representatives, and deans)

  2:00 p.m.
 

Wrap-up

 

Co-sponsors

  • College of Letters and Science
  • College of Arts and Architecture
  • Museum of the Rockies
  • Norm Asbjornson College of Engineering
  • Buffalo Nations Food Systems Initiative
  • MSU Library
  • Gianforte School of Computing
  • Center for Faculty Excellence