Associate Professor in the Digital Humanities
Digital And Comp Studies
Visual Arts Center - 310
Current teaching schedule available on the public course finder.
INTD 1020 "How to Read 1,000,000 Books"
What does it mean to "read" a million books? The explosion of digital editions and collections of books give us unprecedented access to rare individual texts and massive bodies of literary and cultural material. How does it relate to (or obscure) traditional "close reading" of texts? Are computer codes and algorithms something we might read? What kinds of new literary analysis do they make possible? The course applies and critiques "distant reading" as a method of making large text collections accessible to human readers. Readings include single texts from different genres, multi-million book collections, and the most recent criticism and theory related to digital texts. Along the way we are going to learn elementary R programming language to query single texts and large collections of texts called corpora.
INTD 1100 "Introduction to Digital and Computational Studies"
How are digital tools and computational methods being applied and studied in different fields? How are they catalyzing changes in daily life? Uses two case studies to introduce these new tools and methods, and to analyze and evaluate their scholarly and practical applications. The first case study is based on Bowdoin's own history: how can the use new methods recreate what Joshua Chamberlain could see at the battle of Gettysburg, and thus better understand the battle and his decisions? Next, considers the contemporary, and ask what is identity in the era of social media and algorithms? Students learn the basics of the Python programming language, introductory spatial analysis with ArcGIS, elementary text and social network analysis, and basic environmental modeling. Assumes no prior knowledge of a programming language.
INTD 2401 "Gateway to the Digital Humanities"
How do the liberal arts compute?
Explore the possibilities of using exciting new tools for text analysis, network analysis, spatial analysis and image analysis. Work with data that faculty across campus are using in their own research and teaching projects. See how digital mapping can change the way we understand the history of racial identities in the U.S. Use computational text analysis to contextualize and evaluate the ways female authors express themselves within a masculine canon of literature. Apply network studies to the plots of English and foreign novels. Combine all of these approaches to gain a deeper understanding of the questions and methods being used in the humanities today. What sorts of new questions can be asked and answered using computational tools?
These topics will be explored in class through a series of projects. Weekly labs will provide hands-on experience with the concepts and tools presented in class, and will give students the opportunity to work on their own projects. Assumes no prior knowledge of computers, programming, or statistics. Fulfills MCSR distribution requirement.
INTD 2610 "The Rhetoric of Big Data: Copernicus to Climate Change"
How did early modern intellectuals amass enough data to feel confident that the earth rotated around the sun? How did they write about their data (texts, diagrams, measurements, and calculations) in order to eventually convince a larger audience that the Copernican hypothesis of heliocentrism was valid even though the sun appears to move in the sky? Examines the literary, artistic, religious, political, economic, and scientific context of these questions by introducing and using large-scale digital textual analysis, network visualization, mapping, and computation. Defines a set of parameters for analyzing other famous cases of big data reshaping worldviews.
Galileo Museum, Florence, Italy
Animated Universe Models, University of Toronto, Canada
Florence Museum Network, Florence, Italy
Internet Culturale, Digital Collections of Italian Libraries
Project Gutenberg Free ebook Catalog