
Innovate for Good, Empower with Data
The United States is experiencing a rapid build-out of data centers, critical infrastructure powering AI and the digital economy.
These facilities place heavy demands on water, energy, and land, often colliding with local land-use goals, regional sustainability efforts, and national economic development priorities.
Co-led by LMI, UVA’s School of Data Science, and the UVA National Security Data & Policy Institute (NSDPI), this challenge asks teams to analyze that expansion and operationalize insights with data science, illuminating tradeoffs through a lens of your choice: technical, environmental, social/cultural, or policy.
Some directions you might take include:
Environmental and technical perspectives:
Using satellite imagery, visualization tools, or data analysis to track impacts on power grids, water use, or land availability.
Policy and planning perspectives:
Considering how local governments or federal agencies balance competing priorities when approving data center siting and expansion.
Social and cultural perspectives:
Examining community narratives, workforce implications, or equity concerns surrounding where and how data centers are built.
AI and workflow design:
Envisioning how AI tools might assist decision-makers, for example, by supporting land-use planners in regions like northern Virginia, where requests for new data centers collide with a complex mix of environmental and economic considerations.
Why this matters:
Communities, agencies, nonprofits, and businesses need decision-quality evidence and tools that keep pace with this build-out. Data centers don’t exist in isolation: they sit at the intersection of energy resilience, water security, land-use stability, and regional economies—all pillars of national security. By focusing on measurable indicators (e.g., grid, cooling water stress, workforce and housing effects), this challenge channels student work into the questions that planners and operators face today. That’s why it is co-led by the UVA NSDPI and LMI—to ground your solution proposals in real missions and provide mentorship from a leading government technology partner.
What you’ll deliver:
Decision-ready artifacts for planners, communities, or operators—something that helps a real stakeholder see, decide, or act. Your submission must include:
- Curated data asset (cleaned/joined dataset or feature set) with a short Data Card (provenance, licenses, caveats)
- Decision tool(s), which could include:
- Interactive map/dashboard,
- AI/ML model, and/or
- Lightweight AI/agentic-workflow proof-of-concept
- Reproducible analysis (Jupyter/R notebooks + README with exact run steps)
- Impact note (1 page): stakeholder, decision improved, key assumptions/uncertainty, and “what’s next”
You have flexibility in topic and methods; the goal isn’t a market-ready startup product; it’s working toward data science-based foundations and tools that leverages data to drive better decisions about U.S. data-center growth.
Timeline:
| Friday, November 14 @ 12:15pm | Official Challenge Kick-off at Datapalooza |
| Friday, December 5 | Team Registration Deadline |
| Week of January 12-16 | Team Check-Ins |
| Late February | Final Submissions and Presentations |
Rules:
1. Eligibility
- To be eligible to win a prize in the Data-to-Impact Challenge, a group must:
- Register to participate in the Challenge under the appropriate timelines and guidelines set out by the Challenge.
- Be part of a group of 2-4 individuals that make up a single team. We encourage people to work in teams to provide a diversity of perspectives and expertise to the challenge. Teams larger than 4 individuals will not be permitted. Prizes are given per person in the winning teams, so the size of the team does not determine the payout available to the winners.
- Participate in a brief mid-point check-in for continued mentorship and guidance on their solution.
2. Submission
- Submissions should include the registration (with Executive Summary form) and final presentation materials. All materials are required in order to be formally considered.
3. Prize Payment
- Challenge winners will be issued payment directly from the University of Virginia after prizes have been announced.
4. Intellectual Property
- The School of Data Science and LMI are committed to openness and transparency in ideas and technology. All teams are free to discuss their ideas with other parties and entrants and are encouraged to collaborate with each other as appropriate. By participating in the Challenge, each entrant allows LMI and UVA to reproduce, publish, post, and display publicly the submission title, headline, executive summary, and other non-protected submission content on the web or elsewhere, in perpetuity. Entrants must clearly delineate any protected IP and/or confidential information that is brought to the challenge and included in the submission so that it can be treated as a proprietary element of the solution.
Prizes:
1st Place
$500
A cash prize of $500 will be awarded to each member of the first place team.
2nd Place
$300
A cash prize of $300 will be awarded to each member of the second place team.
3rd Place
$150
A cash prize of $150 will be awarded to each member of the third place team.

