Name: Stanford Open Datathon
Start: 2021-04-09T19:00:00.000-04:00
End: 2021-04-11T15:00:00.000-04:00
Location: Stanford Open Datathon

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.

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.