Rutgers University
Popular media often portray “big data” as the exclusive province of information scientists, but data collection in the humanities can swiftly exceed the capacity of the human brain to analyze. Increasingly, humanists turn to digital tools to conduct quantitative research on literary texts, websites, tweets, images and sound recordings. How does one create or reuse a humanities data set? What tools are used to store, manipulate and process that data? How does one begin to analyze humanities research data and share findings in the form of visualizations? This course will explore some...
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In the last ten years, the strange quasi-disciplinary formation known as DH or Digital Humanities has renewed the struggle over methods in literary studies. Analyses of digitized texts using computer-assisted techniques promise to transform the kinds of evidence, the methods of interpretation, and the modes of argument which matter to literary scholarship. Data is now a subject of energetic debate in literary studies: what constitutes literary data, and how should it be analyzed and interpreted? How might aggregation and quantification produce new knowledge in literary scholarship? What...
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