The following projects are now open for applicants for the fall 2019 Buchanan Library Fellowship program. Participants attend seminars or workshops, create and present a project, and earn $1,000. Apply here. Applications will be reviewed on a rolling basis until positions are filled.
Geographic Information Systems (GIS)/Stacy Curry-Johnson [Wednesdays, 12:00-2:00]
This fellowship teaches students how to solve practical spatial problems using cutting edge Geographic Information Systems (GIS) tools. Students identify interdisciplinary questions amenable to spatial solutions, learn how to collect and curate geographic information, and design real-world mapping applications. By the end of the course, fellows will have gained familiarity with multiple types of GIS systems, and will select the system that best fits their research needs. Students must be available to meet during the GIS Working Group, held between 12:00 and 2:00 on Wednesdays. Contact: Susan Grider
The Evolution of the Peabody Esplanade/Steve Baskauf and Stacy Curry-Johnson [Date TBD]
The Peabody Esplanade is one of Vanderbilt’s iconic greenspaces, framed by rows of stately trees. Yet when Peabody was founded a little over a century ago, it looked nothing like it does today. How did a space occupied by randomly placed trees evolve into the Jeffersonian styled campus envisioned by the planners of Peabody? This project will involve GIS analysis of historic aerial photographs, measurement of the location and size of existing trees, and creation of a permanent tree database. At the conclusion of the project, we plan for the results to be used to create an exhibit to help celebrate the 100th anniversary of the Peabody Library, as well as recognition of the trees on the Esplanade that have been determined to be over 100 years old. Contact: Susan Grider
Text Mining at Scale/Cliff Anderson [Fridays, 2:00-3:00]
Interested in working with textual data at scale? XQuery is a great language to learn if you are working with semi-structured data of any sort—literary texts encoded in TEI, bibliographic data in JSON, or even tabular data that you are currently keeping in Excel. By learning XQuery, you’ll learn how to explore hidden patterns in your data and to visualize them for others. We’ll also teach you how to connect and combine different sources of data. This semester, we will focus particularly on querying large sets of textual data using Apache Spark, a framework for querying distributed data sets, and Sparqsonic, an emerging query language for Spark based on XQuery. After completing the sessions this semester, you will be able to explore and extract information from big data sets in the humanities, social sciences, or other disciplines with ease and confidence. Fellows must be available to meet during the XQuery Working Group, which meets from 2:00 and 3:00 p.m. on Fridays during the fall semester. Contact: Susan Grider