2017 Rensselaer Datathon
Saturday, March 25 - Sunday, March 26, 2017
The Lally School of Management and the Institute for Data Exploration and Applications (IDEA) at Rensselaer Polytechnic Institute will host their third Datathon on March 25-26, 2017. Undergraduate and graduate student teams (each team should have a minimum of three members) from the five schools at Rensselaer will analyze a case study, utilize provided data sets, and present their innovative findings to a panel of esteemed judges at the competition.
“The Rensselaer Datathon brings together students from across all academic and research disciplines who are challenged with a real-world problem in the data analytics domain,” said Dorit Nevo, associate professor of information systems at the Rensselaer Lally School of Management. “Students get to experience analytics first-hand and apply what they have learned in their courses in an exciting competition format.”
“Advances in data analytics are creating many significant transformations in the way that businesses around the world are operating,” said Professor James A. Hendler, director of the Rensselaer IDEA. “This Datathon gives our students an opportunity to explore problems and create solutions for tackling data-driven issues in business and research.”
Students will be competing for the following awards:
Overall first place team: $1,500
Best data insights: $1,000
Best business insights: $1,000
Honorary mentions: $500 per team
The Datathon is sponsored by the Rensselaer IDEA and by the Lally School of Management. IDEA is a key component exemplifying The New Polytechnic at Rensselaer with a goal to maximize the capabilities of new tools and technologies for the purpose of expediting scientific discovery and innovation, developing the next generation of digital enablers, and preparing students to succeed and lead in a data-driven world. IDEA serves as a hub for Rensselaer faculty, staff, and students engaged in data-driven discovery and innovation, empowering researchers with new tools and technologies to access, aggregate, and analyze data from multiple sources and in multiple formats.
For more information about the Lally School of Management, visit http://lallyschool.rpi.edu/.
For more information about the Rensselaer Institute for Data Exploration and Applications (IDEA), visit http://idea.rpi.edu/.