The judging

Judges

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!

Executive judging panel

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
Director
GSA Technology Transformation Services

Annaliese Yukawa
Senior Policy Advisor for U.S. Congresswoman Suzan DelBene

Technical judges

Department of Agriculture

Erica Knight

Sylvia Braswell

Department of Commerce

Marla Thompson

Richie Wang

Department of
Energy

Kelsey Brasher

Norwin Prasad

General Services Administration

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

National Science Foundation

David Saunders

Kevin Hewitt

Terry Carpenter

Theresa Rinehart

Judging criteria

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	Alignment with business objectives Potential impact
2. Innovation and creativity	Originality Creativity
3. Technical implementation	Technical difficulty Execution
4. AI optimization	AI integration AI performance
5. Feasibility	Practicality Scalability
6. Presentation and documentation	Clarity of presentation Documentation

Prizes

We are pleased to offer four cash prizes for a $10,000 total prize purse.

For winning solutions, teams will receive the following prizes:

First place: $5,000
Second place: $3,000
Third place: $1,500
People’s Choice: $500