This one-week, one-credit compressed course focuses on mapping variation through the use of geospatial tools like GIS.  The course, offered as A&S 500-003, will take place from November 9-13 from 5-8pm each day in the Oliver Raymond Building, room C226.  As a 500-level course, it is open to both graduate and undergraduate students.

Dr. Montgomery's research investigates ways of integrating techniques used in geography with those traditionally used in dialectology.  His specific focus in the use of GIS technologies is innovative in the field of linguistics, and his presence on UK's campus will expose the community here to some of the most recent endeavors in these kinds of digital humanities research methodologies.  Despite a focus in linguistic variation, this class will present methods that could be applied to many of the social sciences and humanities, wherein the questions deal with societal patterns, variations in those patterns, and the geospatial presentation and analysis of data related to those patterns.  If you have any questions about this course, please contact Dr. Jennifer Cramer (jennifer.cramer@uky.edu).

A special 1-credit opportunity to discover text mining and textual data analysis.

Across many disciplines, interest is increasing in the use of computational text analysis in the service of answering questions in the humanities and the social sciences. Media scientists analyze social media in order to predict corporate crises, political scientists and economists look for indicators of mood and sentiment in platform speeches and economic forecasts, literary scholars analyze the distribution of motifs in large numbers of texts in different literary epochs, and social historians and sociolinguists look for networks and connections among the people, places, and times related to the documents they study.



Following the distinction between "digitized" vs. "digital" scholarship, computers not only assist the work of researchers (digitized scholarship) but also transform the basis of the scholarship: they foster research that would have not been possible without digitization and increasing computing power (digital scholarship). Mapping emotions by mining huge numbers of books, or searching all Latin texts from Antiquity for paraphrases of Plato, are only two examples of investigations documenting the innovative potential of digital research. This transformation makes it necessary to reflect on the new relationship of scholars to their objects of investigation and to discuss the new ways researchers handle textual "data".



In this course we will familiarize ourselves with the concepts, debates, and selected tools within text-based digital scholarship and discuss the repercussions on the way we perceive and construct our objects of research.

Mass surveillance is only possible with the help of smart computer algorithms. Whenever text data is monitored by machines, methods from computational linguistics come into play. The main goal is to automatically filter and identify content that points to certain attitudes or behavioral dispositions viewed as a threat to security. When monitoring online data, the task is even more complicated.  Since people are not usually required to provide their real identity in cyberspace, the tracing of identities through language features ("writeprint") is another challenge for computational linguistics at the service of the intelligence apparatus. Surveillance through language relies on the idea of the expressive function of language: Whenever we utter something, we do not just say something about the world to someone else, we also reveal something about ourselves.

In my talk I will give a critical account of some of the linguistic methods used to automatically attribute identities such as "extremist", "endangerer", or "potential terrorist" on the basis of text analysis. Starting with an overview of the political, legal, and technical framework of state surveillance measures in Germany, I will discuss core concepts of the surveillance discourse and present examples of how linguistic knowledge can be used to assign identities for the purpose of control. In doing so, I hope to foster a discussion on the logic of surveillance in western democracies and the responsibility of the sciences and humanities.