1. Using U.S. Census Bureau Documentation to Revisit and Rebuild 20th Century Data Complexities • David Bleckley, University of Michigan; John Sullivan, Census Bureau; Douglas Rosin, University of Michigan.

2. Improving Historical Census Transcriptions: A Machine Learning Approach • Christian Møller Dahl, University of Southern Denmark; Sam Hwang, University of British Columbia; Torben Johansen, University of Southern Denmark; Munir Squires, University of British Columbia.

3. Development of Machine Readable Tabular Census Data, 1955-1975 • Diana Magnuson, University of Minnesota; David Van Riper, Minnesota Population Center; Steven Ruggles, University of Minnesota.

4. “Tables Are Tricky”. Testing Text Encoding Initiative (Tei) Guidelines for Fair Upcycling of Digitised Historical Statistics. • Gabi Wuethrich, University of Zurich.