In collaboration with Liza Potts and Catherine Foley of MATRIX, The Center for Digital Humanities and Social Sciences at Michigan State University

The MSU Vietnam Group Archive includes roughly 80,000 pages of digitized documents, maps, and images from 1955-1962. This interactive map allows for users to search and explore the documents.

MSU Vietnam Group Archive Website


Stories of Slavery: Interactive Narrative & DatA Visualizations

In collaboration with Walter Hawthorne, Ethan Watrall of MATRIX, The Center for Digital Humanities and Social Sciences at Michigan State University

Stories of Slavery is an in-progress iPad application project. The application presents data collected from The Slave Biographies project in an interactive and meaningful way to people interested in exploring the geographical locations, skills, and family relations of slaves from the Atlantic region. The application will connect people to maps, images, and documents through a narrative sequence or interactive visualizations.

Slave Biographies (Atlantic Database Network) Website


Documenting + Analyzing Cherokee & Ojibwe Languages

Sparks! Ignition Grants for Libraries, with Ellen Cushman and Liza Potts

The goal of the grant was to create a web-based, user-friendly interface prototype to provide a model for enhancing user understanding of Ojibwe and Cherokee language manuscripts, as well as the key linguistic features of those languages.

Map Detroit: An Interactive Narrative Project

This project concept explores imageability, spatial relationships, multi-sensory narratives, and interactive organization of information within a digital environment. The MAP Detroit application will engage visitors through interactive walking tours throughout the Detroit area. Visitors will be immersed into historical and contemporary stories about specific locations, with emphasis on the present, past, and future.



Presented at SIGDOC ‘12, the 30th ACM International Conference on Design of Communication, with William Hart-Davidson and Liza Potts

This project explores the use of hashtags, keywords, and location check-ins from popular social media sites such as Twitter, Facebook, Yelp, and Foursquare to identify and trace foodborne illness outbreaks. The typical method of reporting and responding to foodborne illnesses takes more than two weeks, this online system will enable a community of users to review and confirm outbreaks in a quicker manner.