Students at a Code for the Planet hackathon
For Students · Code for the Planet Hackathons

Build real tools for the green economy.

Code for the Planet is a one-day hackathon series where students build with agentic AI, GIS, environmental data, and Arduino-based hardware to tackle real climate and conservation challenges.

What we build

Three technical tracks, one shared mission.

01

Data visualization

Dashboards and public-facing tools that turn field data into decisions partners can act on.

02

Hardware & GIS data

Sensor pipelines, spatial datasets, and map layers for reforestation, wildlife, and watershed work.

03

Data training pipelines

AI/ML workflows that classify species, imagery, and satellite scenes for conservation partners.

80%

of participants secure a role, internship, fellowship, or paid technical opportunity within three months of completing a project pathway.

Why it works

Green jobs are becoming technical jobs.

24M
U.S. green jobs projected by 2030
31,300
projected GIS openings from 2024–2034
78M
net new jobs globally by 2030

Code for the Planet helps students build the stack behind those roles: agentic AI, GIS, environmental data, and field hardware.

Where alumni have landed

From environmental agencies to Fortune 500 engineering teams.

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Inside the day

What happens at a hackathon

One day. Real tools. Real environmental challenges.

  1. 01

    Present conservation projects

    Students start with five challenges in water, land, biodiversity, climate resilience, and community-led conservation.

  2. 02

    Choose what you'll build

    Pick your technical track and go deep with mentors from environmental partners.

    • Agentic AI · copilots, workflows, research agents
    • GIS + Environmental Data · maps, dashboards, watershed tools
    • Hardware · Arduino sensors, field monitoring, data pipelines
  3. 03

    Pick teams and hack

    Join a team around the project you care about and build with AI agents, real datasets, and real use cases.

  4. 04

    Ship demos and prizes

    Submit a working prototype. Pitch to reps and receive feedback. Prizes reward completion, accessibility, and impact.

Selected Projects

Upcoming Code for the Planet Hackathons

Oakland Tech Week

Oakland Tech Week

Oakland, CA · Sep 27 – Oct 3, 2026

Build tools for local climate resilience, environmental monitoring, and community-led conservation.

NYC Environmental Agent-a-thon

NYC Environmental Agent-a-thon

New York, NY · Sept 25–26, 2026

Students build AI agents for public-sector environmental data alongside sponsors and NY State agencies.

DC AI Week

DC AI Week

Washington, DC · Fall 2026

Build responsible AI tools for public-sector and environmental challenges.

Stories from the community

What we've shipped

I'm beyond blessed and excited to share that I landed my first role in tech at HiBob. I'm grateful to everyone who supported me along the way, especially the mentors, meetups, and communities like ProgramEarth that helped me get here.

A student shared how ProgramEarth helped shape their path into a first tech role.

Brian Segura
Data Scientist
When I first explored data visualization, I was lucky to learn through organizations like DataKind and ProgramEarth, which consider both the ethics and scale of technology when solving real-world challenges.

A participant described how they first connected data visualization to real-world impact.

Tenicka Norwood
Environmental Analyst
Proud to share my ProgramEquity achievement badge. The program gave me hands-on experience collaborating with a software team and introduced me to AI, API management, and cybersecurity. I strongly recommend it to juniors seeking practical experience.

A participant highlighted a ProgramEarth-issued credential on their professional profile.

Emalee Soto
GIS Developer
Open Earth Academy

Want to prepare before the hackathon?

Open Earth Academy is built to help you succeed — a self-paced path through the exact stack you'll use on hackathon day.

Start the 12-week course →
  • 12-week self-paced course
  • Agentic AI workflows
  • GIS + environmental data
  • Arduino-based hardware labs
  • Optional university microcredential