Project Videos
The best way understand digital humanities is to dive right in and see what digital humanists are doing. These videos describe the what/why/how/who of a broad swath of DH projects, with the goal of helping you learn what’s necessary to undertake similar endeavors.
The videos are inspired by Miriam Posner’s How Did They Make That blog post and video.
We are always accepting new videos, up to 10 minutes in length. Get in touch with Scott B. Weingart to contribute.
Archives, Museums & the Digital Humanities
Dominique Luster (Carnegie Museum of Art)
DH methods for public history museum projects.
History,
Public History,
Museums
Beyond the Ant Brotherhood
Tatyana Gershkovich (Carnegie Mellon University)
Dynamic digital archives of writings and timelines.
Literature,
Modern Languages
Civic Data Intermediaries
Bob Gradeck (University of Pittsburgh), WPRDC (University of Pittsburgh)
Open data and what can be done with it.
History,
Social and Decision Sciences,
Journalism
Data Visualization: Tableau
Emma Slayton (Carnegie Mellon University)
Data visualization with Tableau.
History,
English,
Modern Languages,
Psychology
DocuScope
David Kaufer (Carnegie Mellon University)
Computer Support for Close Reading and Textual Analysis in DH.
Literature,
Modern Languages,
English
Finding the Klan with Network Analysis
Elaine Frantz (Kent State University)
Historical network analysis.
History,
Network Science
GIS Mapping
Susan Grunewald (University of Pittsburgh)
GIS mapping with an emphasis on history projects.
History
Historical Gazetteers
Ruth Mostern (University of Pittsburgh)
Building historical gazetteers.
History
How to grow data forests with XML trees
Elisa Beshero-Bondar (University of Pittsburgh)
eXtensible Markup Language (XML).
Literature,
English
Improving Access to Video Oral Histories
Michael Christel (Carnegie Mellon University)
Video oral history projects.
History,
Public History
Logistic Regression
Matthew J. Lavin (University of Pittsburgh)
Machine learning for literary analysis.
Literature,
English
Marriage & Divorce of Capitalism & Democracy
Simon DeDeo (Carnegie Mellon University)
DH methods for interdisciplinary studies and results.
History,
Social and Decision Sciences
Measuring Art Historical Networks
Matthew Lincoln (Carnegie Mellon University)
Network analysis in the context of art history.
Art History,
History,
Network Science
Metadata Heatmaps for Distant Reading
Benjamin Miller (University of Pittsburgh)
Distant reading of a textual corpus.
English,
Literature
Networks and Medieval Schoolbooks
Elizabeth Archibald (University of Pittsburgh)
Network analysis in the context of the history.
History,
Network Science
Shakespeare-VR
Stephen Wittek (Carnegie Mellon University)
Building immersive VR projects.
English,
Literature,
LCS
SocialChange101.org
Nico Slate (Carnegie Mellon University)
The online historical project SocialChange101.org.
History,
Public History
Structure-based Network Analysis
S.E. Hackney (University of Pittsburgh)
Structure-based network analysis.
Network Science
Stylometry and Authorship Analysis
Patrick Juola (Duquesne University)
Machine learning to identify authors.
Literature,
LCS,
English,
History
The Historical TV Guide
Kathy M. Newman (Carnegie Mellon University), Steven Gotzler (Carnegie Mellon University)
Using digitized text to study television history.
English,
LCS
The Latin American Comics Archive (LACA)
Felipe Gómez (Carnegie Mellon University)
Online archives in comic book markup language.
Modern Languages,
Literature
Topic Modeling Subreddits
Chloe Perry (Carnegie Mellon University)
Computational techniques to topic model subreddits.
Psychology,
Social and Decision Sciences