The DHRX is a cross-campus faculty research network designed to highlight innovative, digitally-focused academic work at the University of Pittsburgh. Bringing together researchers from a broad range of disciplinary backgrounds, the network is dedicated to exploring the creative use of digital technologies in humanities and social science research.
Currently, a major goal of the DHRX is to help build community. The members of the network are frequently in contact with one another and the group meets as a whole once per semester to discuss issues and challenges specific to digital making.
We are enthusiastic about the ways that digital technology can expand, reconfigure, and enrich our understanding of the relationship between academic inquiry and the social world.
For further information or to find out more about joining the network, please feel free to contact Alison Langmead, Principal Contact for the DHRX at email@example.com.
Upcoming PGH|DH (Pittsburgh Digital Humanities) Events (Click here for full calendar)
Presenter: Matt Burton, Visiting Assistant Professor, School of Information Sciences
Tableau is a data visualization tool that is being used to help analyze data and illustrate the patterns and insights behind them. This interactive workshop will introduce researchers or students to Tableau Public, a free access version of Tableau. Laptops are required; if necessary it may be possible to check out a laptop from Hillman's lending desk (come early).
More details and registration: http://pitt.libcal.com/event/3040680
Presenter: Matt Lavin, Clinical Assistant Professor of English and Director, Digital Media Lab
Computational text analysis is widely regarded as the most established subfield of digital humanities. Integrating large-scale information gathering, data analysis, and visualization techniques into a dissertation, scholarly article, or book project—even if done sparingly—can have tremendous benefits. The pathway to integrating these tools, however, can be daunting. This interactive session will focus on well-established methods and exciting new approaches to text analysis, as well as common pathways for skills acquisition and project development. No experience with computer programming or code is needed, as this workshop will focus on surveying approaches and establishing common strategies for implementation. Participants are encouraged to come with a brief description of a project or research question that might benefit from a computational text analysis component.
More details and registration: http://pitt.libcal.com/event/3040684