Introduction to Digital Humanities at UT
September 9, 2022, 12-1
There are many different initiatives and organizations working in the area of digital humanities at UT. Whether you're new or you're interested in hearing updates on what has been happening across campus, this workshop is an opportunity to hear from a panel of guests will present about the diverse and varied ways to participate in the digital humanities at UT Austin. There will be time left at the end of the presentations for audience members to speak. DH at UT is a growing community, and if we missed inviting you to present, please come anyway and let us know what you're working on!
Transkribus For Beginners: Using AI To Transcribe Digitized Documents
September 23, 2022, 12-1
In this workshop we will explore the first steps in order to use Transkribus - a software that uses AI to transcribe digitized documents.
Instructor- Eduardo H Gorobets Martins
Network Visualization Graphs
October 7, 2022, 12-1
The workshop will demonstrate how to create a network visualization graph by using tools such as Onodo and Gephi. The session will cover data such as notes,edges, source and target. Participants will be able to network visualization graph by using a sample dataset.
Mapping Historic Austin: How to Georeference and Geocode in QGIS
October 21, 2022, 12-1
The use of geographic information system (GIS) software is emerging as a principal computational methodology in humanities research. Many GIS-driven digital humanities workflows involve the remaking of analog materials containing spatial information—such as maps, images, gazetteers, and directories—into a digital format amenable to computer modeling, processing, and display. This workshop will focus on two common methods used to create geospatial data from digitized materials: georeferencing and geocoding. The tutorial will be done in a popular, open-source GIS software called “QGIS” and will employ data from Texas Digital Humanities’ ongoing research project.
Workshop to be co-hosted by Texas Digital Humanities.
This work is licensed under a Creative Commons Attribution-NonCommercial 2.0 Generic License.