Tuesday, January 15, 2019

Data Challenge 2019

Calling all UMD Faculty & Staff Members 

UMD Data Challenge 2019 needs your support!

The UMD Data Challenge 2019 is a week-long annual event that provides an opportunity for students across UMD colleges and programs to compete in solving real-world problems using data provided by partner organizations - including UMD Centers and Units. With hundreds of participating students, we need your help!

February 23 - March 2, 2019
University of Maryland, College Park

Mentor UMD Students:

Enjoy a hands-on experience mentoring UMD students. No data or teaching background is needed - just an enthusiasm for helping students!
  • Mentor a student team of four
  • Attend the opening day event on Feb 23, 9am-5pm @ the Student Union
  • Guide your team through the basic steps of problem-solving (guidance will be provided to you)
  • Be available to your team by email throughout the week
  • Optional: Attend the Mentor/Researcher Team Building Event on Feb 1 to learn more about how to be a mentor and mingle with other mentors
Optional: Attend final presentations and judging on March 2

All UMD faculty and staff members who have a knack for problem-solving are encouraged to participate as a mentor. To sign up, please complete our Mentor Form by January 20.

Submit a Dataset:

Support UMD students by providing a dataset for the Data Challenge 2019. From client demographics to website traffic records, students will analyze the data, determine key findings, and help solve real problems or unveil new information. 
  • There is no limit on the number of datasets that sponsors can provide
  • Provide software codes or API’s to extract data instead
  • Submit a short statement about why you would like to have this dataset researched, or include a problem statement to guide the participants' exploration
  • All datasets must be complete and cleaned so the student participants do not have to take the time to complete these actions
Any type of complete datasets are welcome. To let us know you are interested in submitting a dataset, please complete our Dataset Form by January 20.





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