Datathon is a celebration of data in which teams of undergraduates work around the clock to discover and share insights about large, rich, and complex data sets.
The event is sponsored by the Computer Science Department and the recently launched Data Science Initiative at Brown University. The Data Science Initiative is a cross-departmental program that aims to develop and promote data-driven research and education on campus.
Apart from the competition itself, which is the core of the event, there will be many other supporting activities ranging from educational workshops to opportunities to network with peers and industry representatives.
Eligibility
We welcome students from anywhere, and will do our best to reimburse you for transport. Amtrak or MBTA will get you to Providence Station, just a ten minute walk from Brown’s Campus.
Prizes
Grand Prize: Sponsored by Goldman Sachs
A tote bag with a hoodie, a water bottle, ***an iPhone X***, and an invitation to present your winning findings to senior staff in Engineering at Goldman Sachs HQ in New York—all expenses paid for each team member.
Second Prize
Neo smartpen + Notebook for each team member
Third Prize
Google Home for each team member
First Prize
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Matthew Rothman
Goldman Sachs
Zachary Hamed
Goldman Sachs
Dan Potter
Director at Brown Data Science Initiative; Brown Computer Science Professor
Jeff Mayse
Data Scientist at Upserve
Serdar Kadioglu
Brown Computer Science Professor, Fidelity
Simon Freyaldenhoven
Brown Economics Professor; Brown Data Science Initiative
Meenakshi Narain
Brown Physics Professor
Daniel Sanz-Alonso
Postdoctoral Research Assistant at Brown University
Zhijin Wu
Brown Statistics Professor
Zheng Zhang
Brown Statistics Professor
Judging Criteria
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Quality
Quality of the overall approach will be prioritized irrespective of which dataset is chosen or product created (result, visualization, tool, etc.). Marks of quality could include robust features, versatile and readable code, and polished presentation. -
Creativity
Datasets do not come with explicit problem statements. Creativity will be rewarded where it provides new insights or unique applications while still being tied to one or more datasets and is grounded in reality. -
Team Composition
The composition of a team will be taken into account when judging a project. A project completed by undergraduates is more impressive than a similar project done by a team of PhD candidates. We encourage diversity of experience and background in teams. -
Completion
Complete projects will be held in higher regard than incomplete projects; however, the potential that an insight or application shows will be taken into account, including if it is not complete. Submit your project, anything counts!
Questions? Email the hackathon manager
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