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Judges | Judging criteria | Prizes
We are honored to have a distinguished panel of judges who bring a wealth of federal government experience and expertise to this event. Their diverse backgrounds will ensure a comprehensive and fair assessment of all entries. They will help make this hackathon a success!
Jason Miller
Deputy Director for Management
Office of Management and Budget
Jonathan Finch
Director of Digital Experience
OMB
Mina Hsiang
Administrator
U.S. Digital Service
Ann Lewis
Former Director
GSA Technology Transformation Services
Annaliese Yukawa
Senior Policy Advisor for U.S. Congresswoman Suzan DelBene
Erica Knight
Sylvia Braswell
Marla Thompson
Richie Wang
Kelsey Brasher
Norwin Prasad
Adam Grandt-Nesher
Allison Hutchings
Brady Jubic
Brianna Gomez-McGowan
Bryan Alexander
Isabel Metzger
Jaclyn Henderson
Jin Sun
Tim Lowden, Data.gov
Tyler Burton, Data.gov
David Saunders
Kevin Hewitt
Terry Carpenter
Theresa Rinehart
Here are the judging criteria for each Federal AI Hackathon competition category. Our judges will independently evaluate all entries and assign points based on these criteria.
| Category | Criteria |
|---|---|
| 1. Relevance and impact |
|
| 2. Innovation and creativity |
|
| 3. Technical implementation |
|
| 4. AI optimization |
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| 5. Feasibility |
|
| 6. Presentation and documentation |
|
We are pleased to offer four cash prizes for a $10,000 total prize purse.
For winning solutions, teams will receive the following prizes:
U.S. General Services Administration