The Stanford Open Datathon is a weekend-long event for students from all disciplines to work on a project related to open data. The datathon will provide resources to support sustainable, long-term projects and engagements with open data that improve transparency and accountability at universities. These could include original pieces of policy advocacy, data modeling, data journalism, building an open data portal for your university. We hope the Stanford Open Datathon will serve as the starting point for long-term open data endeavors across the world.

Hackathon Sponsors

Prizes

$5,500 in prizes

Winner of Data Science (Journalism) Track

Winner of Data Science (Modeling) Track

Winner of Build Your Own Data Portal Track

Winner of Policy and Advocacy Track

Most Ethically Minded Award

This award is sponsored by the Stanford Ethics, Society, and Technology Hub.

Long-term Societal Impact Award

This award is sponsored by the Stanford Ethics, Society, and Technology Hub.

Best (most original) Contribution to Public Understanding Award

This award is sponsored by USAFacts.

Devpost Achievements

Submitting to this hackathon could earn you:

Eligibility

Any student above the age of 18 from an accredited higher education institution (college, university, polytechnic etc.) from any country is eligible to participate.

Requirements

Track 1 (Data Science Journalism):

1. A journal article suitable for publication in a campus newspaper, putting forth your views on a social issue of choice, clearly supported by data and empirical evidence.

2. A GitHub Repository with the code you used for your data analysis.

 

Track 2 (Data Science Modeling):

1. A paper explaining the findings of your statistical model analyzing a topic relevant to higher education, clearly supported by data and empirical evidence. (about 1500-1700 words with a hard limit of 2500 words. Figure captions, footnotes, biliography and appendices do not count towards limit)

2. A GitHub Repository with the code you used for your data analysis.

 

Track 3 (Build Your Own Data Portal):

1. A Minimum Viable Product (MVP) of a deployed website or open data portal.

2. A GitHub Repository with the code you used for your website development.

 

Track 4 (Policy and Advocacy):

1. A memo or policy proposal on an issue relevant to the furthering the goal of open data in the campus community, clearly supported by data and empirical evidence.

Judges

Michael Sklar

Michael Sklar

Harrison Bronfeld

Harrison Bronfeld

Lake Dai

Lake Dai

Anjini Karthik

Anjini Karthik

Suyash Gupta

Suyash Gupta

Ayin Vala

Ayin Vala

Shuvam Chakraborty

Shuvam Chakraborty

Eric Gilliam

Eric Gilliam

Zhijing Jin

Zhijing Jin

Joshua Kravitz

Joshua Kravitz

Isabel Hirama

Rachel Oh

Rachel Oh

Fredric Kong

Fredric Kong

Vineet Kosaraju

Vineet Kosaraju

Dian Ang Yap

Dian Ang Yap

Nicole Corso

Nicole Corso

Luci Herman

Luci Herman

Serdar Tumgoren

Serdar Tumgoren

Gaurav Aggarwal

Gaurav Aggarwal

Ayon Roy

Questions? Email the hackathon manager

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