Datapalooza is a data analytics competition open to undergraduate and graduate students in which individuals or teams work to find and share meaning from a large, rich and complex dataset. After analyzing data provided by an industry sponsor (to be announced at start of event), teams will present to a panel of judges to compete for cash prizes.
Best In Show
First Place
![](images/datapalooza_2019/b1.jpg)
Team Name: It's not the data point but the size of the error bars that count!
Institution: University of Nebraska-Lincoln
Team Members: Karl Ahrendsen, Andrew Vikartofsky, William Newman, Giovanni Baez
Second Place
![](images/datapalooza_2019/b2.jpg)
Team Name: UNO MCBI
Institution: University of Nebraska at Omaha
Team Members: William Gaspmer, Ricky Flores, Sebastian Espinoza, Hugo Corado
Third Place
![](images/datapalooza_2019/b3.jpg)
Team Name: Gleaning Insights
Institution: University of Nebraska-Lincoln
Team Members: Ved Piyush, Hanlin Li
Best Visualization
First Place
![](images/datapalooza_2019/v1.jpg)
Team Name: ACCFS
Institution: University of Nebraska-Lincoln
Team Members: Qianmei Wu, Jianwei Li, Nam Le, Cong Wu, Jianxin Sun
Second Place
![](images/datapalooza_2019/v2.jpg)
Team Name: A-cube
Institution: University of Nebraska at Omaha
Team Members: Adithi Deborah Chakravarthy, Dilanga Galapita Mudiyanselage, Akshay Kale
Third Place
Team Name: MISunderstood
Institution: University of Nebraska at Kearney
Team Members: Jennifer Pierce, Mir Hasnat, Wesley Orr
Best Use of External Data
First Place
![](images/datapalooza_2019/d1.jpg)
Team Name: Agromaticians
Team Members: Nikita Gambhir, Manny Saluja, Sajjan Grover
Second Place
![](images/datapalooza_2019/d2.jpg)
Team Name: DataSaber
Team Members: Qian Du, Yu Shi, Molly Lee, Thao Vu
Third Place
![](images/datapalooza_2019/d3.jpg)
Team Name: Paranormal Distribution
Team Members: Alec Schneider, Annie Hua
Participation Details
Participants are required to register, and can do so individually or in teams of up to 5 students. Teams are encouraged (but not required) to obtain a coach who will provide assistance to the team during their analysis.
Registered teams will be given a competition problem and detailed instructions via upload to a shared team Box folder. Teams will then have one week to complete their analysis.
Teams will then present their findings in a 5 minute presentation at the closing ceremony. Presentations will be awarded prizes in one of three catagories: Best In Show, Best Visualization, and Best Use of Public Data
All teams members will need to be present during the presentation and awards ceremony to qualify for prizes.
Limited travel support offered for teams traveling more than 60 miles. Contact Carrie Brown for details.
Competition Timeline
March 15 | Registration Deadline |
March 20 | Dataset Released / Competition Begins |
March 27 | Submissions Due via email before 11:59 pm |
March 29 | Closing and Awards Ceremony |
Closing and Awards Ceremony
March 29th
10:30 am to 4:00 pm
University of Nebraska-Lincon
Nebraska East Union - Arbor Suite
1705 Arbor Dr
Lincoln, NE 68503
Schedule
10:30 - 11:00 | Check In and Coffee |
11:00 - 11:30 | Opening Remarks and Team Introductions |
11:30 - 12:30 | Lunch and Keynote Speaker Thomas Cleberg, Lead Data Scientist Mutual of Omaha |
12:30 - 3:00 | Team Presentations |
3:00 - 3:30 | Coffee and Snack Break / Score Tally |
3:30 - 4:00 | Award Presentations |
Submission Details
Teams must include (at minimum), the deliverables as outlined in the problem description document. All submissions must be uploaded to the team Box folder no later than 11:59 pm on March 27th
All team members must be presented at the Closing and Awards Ceremony held at the University of Nebraska-Lincoln on March 29th to be eligible for participation.
This event is sponsored by:
![](https://hcc.unl.edu/documents/datapalooza_2019/moo_and_mbdh.png)
![](https://hcc.unl.edu/documents/datapalooza_2019/qlsi_and_hcc.png)