• Introduction of History Moves textual data
    • 8pm Skype call with Jennie Brier and Matt Wizinsky


Graham, Shawn, Ian Milligan, and Scott Weingart. Exploring Big Historical Data: The Historian’s Macroscope. Hackensack, NJ: Imperial College Press, 2015. (selections)(CommentPress site)

  • Chapter One:
    • The Joys of Big Data for Historians
    • Big Data
    • Putting Big Data to Good Use: Historical Case Studies
    • The Limits of Big Data, or Big Data and the Practice of the History
  • Chapter Two:
    • Building The Historian’s Toolkit
    • Automatic Retrieval of Data
    • How To Become A Programming Historian, a Gentle Introduction
    • Basic Scraping: Getting Your Data
    • Normalizing and Tokenizing Your Data
    • Chapter Two Conclusion: Bringing It All Together: What’s Ahead in the Great Unread

Hoover, David L. “Quantitative Analysis and Literary Studies.” In Companion to Digital Literary Studies (Blackwell Companions to Literature and Culture), edited by Susan Schreibman and Ray Siemens. Oxford: Blackwell Publishing Professional, 2008.

Jockers, Matthew Lee. Macroanalysis: Digital Methods and Literary History. Topics in the Digital Humanities. Urbana: University of Illinois Press, 2013.

  • Part I. Foundation
    • Revolution
    • Evidence
    • Tradition
    • Macroanalysis

Ramsay, Stephen. Reading Machines: Toward an Algorithmic Criticism. Urbana: University of Illinois Press, 2011.

Additional Food for Thought

Arnold Weinstein, “Don’t Turn Away From the Art of Life,” The New York Times, February 23, 2016.