GAC: YEAR 4!

Any major. Any Field. Any Student. Any Year.
no coding required.

We are delighted to announce the fourth year of the Generative AI Competition! This year, the contest will be facilitated by Lindsey Harding and Rex VanHorn and sponsored by the Office of Instruction and Franklin CREATE! And this time around, students, you’ll have . . .

Plenty of time to submit! You are welcome to submit projects between now and Friday, March 12, 2027.

Plenty of help! Lindsey and Rex will host office hours to help answer questions, brainstorm project ideas, talk through problems and potential solutions, and just generally be available to help you get your projects off the ground.

• Thursday, October 22, 2-4pm
• Monday, October 26, 10am-noon

Plenty of prizes! $1200 in prize money this year!

Opportunities to share your work!

• Digital showcase for all participants, right here on this website.
• Spring poster session and symposium, in person on campus. Details to follow!

Quick Links

Interested in participating in this year’s competition? Complete our quick interest form to receive tips, resources, and competition updates—and, if you’d like, connect with potential teammates.

Have a question about eligibility, project ideas, tools, or the submission process? Get in touch.

Ready to enter? Submit your project through the official competition form.

Browse posters from past entries for inspiration and a sense of what students have created.

Guidelines

Use generative AI tools to create something meaningful that enriches the UGA community/experience. 

Criteria

Submissions will be evaluated according to the following criteria: 

• Innovative use of artificial intelligence
• Creativity
• Impact on our local community or the lived experience of UGA community members
• Clearly stated documentation of the development process. Note: this documentation should be extensive and comprehensively address the following:
  • Project’s purpose
  • Goals and choices guiding the development process
  • Tools and resources leveraged in creating the project
  • Detailed process notes

Format

Format is wide open! 

Deadline

March 12, 2027

Eligibility

All currently enrolled UGA undergraduate, graduate, and professional students are eligible to submit work solo or in collaborative groups. Multidisciplinary group submissions are highly encouraged. Students may utilize work started for class assignments on the condition that the revised project is not then re-submitted as part of a class portfolio, unless the instructor has agreed in writing that the student or students may re-use this work. Students may only be involved with one submission. 

Submission Instructions

If your entry needs special accommodations, please contact the contest coordinators at generativeaicompetition@gmail.com. 

Please submit your entry with the following information by Friday, March 12, 2027: 

1. Information about yourself or your collaborative team
2. The title of your submission
3. A poster that presents your project, formatted as a PPT slide (see gallery here for examples). We’ll plan to print these for our spring symposium and poster session. Your poster should include the following:
   1. Project description
   2. Relevant instructions for use
   3. How the project impacts the UGA community
   4. How you used generative AI technologies
   5. QR code that links to your project
4. Detailed process documentation (see above for more about what should be included here).

Note: All entries will be posted online and invited to participate in the spring symposium. Please email us in advance [generativeaicompetition@gmail.com] if you have concerns about your work being publicly available.

Sponsors

The Office of Instruction and Franklin CREATE!

Timeline

• The competition is now open for submissions!
• Office Hours: Thursday, October 22, 2-4pm (Zoom link above)
• Office Hours: Monday, October 26, 10am-noon (Zoom link above)
• Projects due by Friday, March 12, 2027
• Winners will be announced in early-April
• Project poster session and symposium details to follow

Generative AI tools to explore