Contemporary research in the field of history and philosophy of science (HPS) makes extensive use of textual data, images, and videos in digital formats. The increasing availability of large volumes of digital data has created opportunities to ask new and transformative questions about the historical development and conceptual foundations of science. Yet tools that enable historians and philosophers of science to interact with these data lag behind those available in the natural sciences.
The future success of digital and computational approaches to the history and philosophy of science depends on forging links between computer science and the humanities. Most training programs in the history and philosophy of science do not impart the skills necessary to take advantage of these new modes of research. Similarly, computer scientists typically receive little training in the humanities, making it difficult to foster meaningful and productive collaborations with humanities scholars.
The Digital Innovation Group bridges the divide between computer science and digital HPS research through collaborative development, training, and cutting-edge interdisciplinary research that pushes the boundaries of digital and computational HPS, and fosters computational thinking in the humanities.
DigInG provides services and resources for computational humanities software and infrastructure development. In addition to developing and supporting the software listed below, DigInG programmers provide support to academic units and individual researchers seeking to extend their research into the computational realm.
All of our software is open source and can be found on GitHub. Most projects are developed using the Mozilla Public License 2.0. We welcome any contributions and new users and use cases. Please get in touch with Julia (firstname.lastname@example.org) if you have any questions or comments.
Quadriga is a web-application that acts as a clearing-house for text annotations -- in the form of contextualized triples, or "quadruples," that form complex graphs -- generated with the Vogon desktop application, and as an environment for managing text-annotation projects.
DigInG research falls under the broader research efforts of the Laubichler Lab at Arizona State University. We are constantly looking for new and transformative research questions that can be addressed using computational methods.
Check back later for updated information on our research projects.