What Shakespeare Taught Us About Data Science and Visualization
In this talk, I will discuss some of the lessons we have learned from
a collaboration between computer scientists and literature scholars.
Our project sought to help scholars use data science methods to study
historical literature at unprecedented scale. In developing
data-centric approaches to English literature of the Early Modern
period (roughly 1470-1700, including Shakespeare), we gained a
different understanding of data science. The unique nature of the
collaboration highlighted that working with data is a process with
many stages, and that different users have different needs across all
of these stages. The project provided an opportunity for us to develop
and test our ideas about tools for data analysis and visualization.
This talk will provide an overview of the project, and use the project
as motivation for some of our recent results in understanding the data
science process and providing data analysis and visualization tools.
Pizza, coffee, and tea will be served at 11:20am