Much new knowledge in the digital humanities comes from the practices of encoding and programming not through discourse. These practices can be considered forms of modelling in the active sense of making by modelling or, as I like to call them, practices of thinking-through. Alas, these practices and the associated ways of knowing are not captured or communicated very well through the usual academic forms of publication which come out of discursive knowledge traditions. In this talk I will argue for “replication" as a way of thinking-through the making of code. I will give examples and conclude by arguing that such thinking-through replication is critical to the digital literacy needed in the age of big data and algorithms.
Dr. Geoffrey Martin Rockwell is a Professor of Philosophy and Humanities Computing at the University of Alberta, Canada. He has published and presented papers in the area of big data, textual visualization and analysis, computing in the humanities, instructional technology, computer games and multimedia including a book just out from MIT Press, *Hermeneutica: Computer-Assisted Interpretation in the Humanities*. He is collaborating with Stéfan Sinclair on Voyant Tools (voyant-tools.org), a suite of text analysis tools, and leads the TAPoR (tapor.ca) project documenting text tools for humanists. He is currently on leave in Hamburg from his position as Director of the Kule Institute for Advanced Studies.