Since 2007, the UGA Libraries has sponsored the Undergraduate Research Awards, which provide cash prizes for excellence in research. This year, we want to celebrate the different kinds of research projects students participate in and, more importantly, understand what they learned from the process. Join us for an information session about this year’s awards and evaluation criteria!
Bring your friends to take a Library Shelfie. We'll have an Instax and some treats!
No stress reading club. Read anything you would like (we'll have options). Then discuss with friends over snacks.
Finals season can be overwhelming so start the holiday season off in your favorite pajamas watching holiday cartoons with us at Main Library.
Do you need a pick me up during finals season? Join us for your favorite hot beverage at Main Library on Dec. 3!
Join RCDM for finals walk-in data consultations
Do you want to get in the Halloween spirit? Join the UGA Libraries for our Monster Mash event on October 28th from 1 to 4 PM at the Main Library. There will be a pumpkin painting contest, button making, tricks, treats, and more!
Lets have a graveyard smash and do the monster mash!
As part of the Spotlight on the Arts Festival, the University of Georgia Press will host its annual book sale for students, faculty, and staff on the Main Library's front lawn on November 13-14, from 9:00 a.m. to 3:00 p.m. each day. A wide variety of new and backlist titles will be available for purchase at a special Spotlight discount of 50% off. Stop by and browse available titles, learn more about the UGA Press, our people and our authors, and find out about exciting new initiatives from the Press and our partners.
LSA is host a Book and Bake sale in order to raise money for LSA activities and to fund a charitable organization.
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!
