TTRPG Game Night
Join us for a night of adventure as we explore the vast and varied world of tabletop role playing games.
Join us for a night of adventure as we explore the vast and varied world of tabletop role playing games.
Come relax, have fun, form a group, and try not to get stumped in
Led by Katie Ireland (RCDM), David Beavan (Turing Institute), and Kaspar Beelen (Turing Institute, University of London). Join us for consultations with experts in DH, data science, and research software engineering. We are here to help with finding and analyzing your data, large language models, R, python, data visualization, and more!
Join data science and humanities computing experts David Beavan (Principal Research Software Engineer, Turing Institute) and Kaspar Beelen (Ph.D., Turing Institute, University of London) for a workshop on research software engineering in digital humanities. A brief overview will be provided followed by a hands-on workshop focused on how to use (large) language models for interrogating historical newspaper collections.
Join data science and humanities computing experts David Beavan (Principal Research Software Engineer, Turing Institute, London) and Kaspar Beelen (Ph.D., Turing Institute and University of London) for a workshop on research software engineering in digital humanities. A brief overview will be provided followed by a hands-on workshop focused on how to use (large) language models for interrogating historical newspaper collections.
Please join the Russell Library on Thursday, November 21st at 11:30am, for a panel discussion on the results of the 2024 election cycle. Political reporters from the Atlanta Journal Constitution will join leading scholars to unpack the election outcomes and analyze potential implications for Georgia and the nation. Panelists include Patricia Murphy from the Atlanta Journal Constitution, Trey Hood and James C. "Jim" Cobb from the University of Georgia, and Seth C. McKee from Oklahoma State University.
This series of lightning talks will highlight different collections as data in diverse a