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

Upcoming PGH|DH (Pittsburgh Digital Humanities) Events (Click here for full calendar)

Research Design for Large Scale Text Analysis
Starts: March 30, 2018, 1:00 pm
Ends: March 30, 2018, 3:00 pm
Location: Hillman Library, Digital Scholarship Commons, G-49
Description: Benefitting from the large-scale opportunities enabled by computational text analysis typically involves developing a central research question, designing an act of quantification related to that question, modifying existing data or collecting new data related to the question, and interpreting a principal measurement in a way that informs the initial research question. Research design describes the work of ensuring that the principal measurement will inform the initial question. This workshop will focus on strategies to make planning and implementing computational text analysis more manageable and increase the chances of an informative finding.

Instructor: Matthew Lavin, Clinical Assistant Professor of English and Director of Digital Media Lab
Richard So and Hoyt Long, Computational Method and the Critique of Race: Racial Difference and the US Novel at Scale, 1880-2000
Starts: April 3, 2018, 12:30 pm
Ends: April 3, 2018, 2:00 pm
Description: This essay takes up the call, made recently by Roopika Risam, Kim Gallon, Amy Earhart, Lauren Klein, and others, to develop a form of computational criticism and distant reading that is commensurable with the methods and arguments of Critical Race Studies. It takes as its assumption that scientific and quantitative methods often reify race and support racial stratification (eugenics, the Bell Curve, etc). Thus, any “big data” or computational method applied to racial minority authors and texts is in great peril of simply reproducing reified and problematic views of racial identity. However, in this essay, we argue that canonical methods in textual analytics – specifically, sequence alignment – can be productively deformed and reconstructed through an attention to the critique of race to not only produce new “large scale” views of cultural and literary history, but also, advance the work of critique by challenging the assumptions of the algorithm itself. In this particular case, we combine theory and close reading with sequence aligment analysis to critique ideas of racial homogenity and univeralism nominally supported by, indeed, the method of sequence alignment. We pursue this work through a case study focused on the modern American novel and the question of racial difference. And we precisely tell a new story about racial difference and the US novel by testing the limits of the algorithm, which are often the limits of normative literary history itself. That is, a creative use of computation, animated by critique, draws our attention to what has been written out of literary history (often under the guise of a naive racial universalism) and advances the work of racial critique at the same time
CMU DH Literacy Summer Workshop
Starts: May 29, 2018
Ends: June 1, 2018