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O.R. & Analytics Student Team Competition 2018

An INFORMS competition that provides real-world workplace experience for undergraduate and master’s level students.

Student teams are given the same business problem, data sets, and access to software to solve a challenging problem using an OR/analytics approach. A panel of industry and academic experts judge written submissions based on teams’ use of the full analytics process, from framing the problem to methodology selection, data use, model building and innovation. Teams selected as finalists present their solutions to a judging panel at the INFORMS Business Analytics Conference in April, with the winners announced at the conference. Students:

  • Gain practical experience in taking a business problem and solution through the complete OR/analytics decision process.

  • Work on a real business problem, of critical importance to the company serving as Title Sponsor.

  • Demonstrate skills in organization, teamwork, communication, and presentation.

  • And win valuable prizes and bragging rights for their school! 

 

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2017 Competition Results

2017 Title and Founding Sponsor


 

Eight student teams from around the world competed as finalists in the inaugural O.R. and Analytics Student Team Competition, held April 4, 2017 at the INFORMS Conference on Business Analytics in Las Vegas, NV.

INFORMS, the leading international association for professionals in operations research and analytics, introduced this new competition to highlight young talent and provide O.R. and analytics students the opportunity to solve the kinds of real-world workplace challenges they will face during their careers.

FIRST PRIZE
University of Warwick, Nottingham University, Cardiff University; UK

SECOND PRIZE
National University of Singapore

THIRD PRIZE
Université Catholique de Louvain, Belgium (Team 2)

FOURTH PRIZE
University of Cincinnati, US

FIFTH PRIZE
Drexel University, US

HONORABLE MENTIONS (alphabetically)
Ozyegin University, Turkey
Université Catholique de Louvain, Belgium (Team 1)
University of North Carolina-Chapel Hill, US

 

The student teams were given the same business problem, data sets, and access to software to solve a challenging problem using an O.R. and analytics approach. A panel of industry and academic experts judged written submissions to select the finalists, based on each teams’ use of the full analytics process, from framing the problem to methodology selection, data use, model building, and quantitative analysis.

The 2017 problem challenged the teams to discover why, despite earlier data analysis to the contrary, strains of soybean varieties selected and bred for commercialization are under-performing. By reviewing previous data, students had to identify what different choices could have been made and how that data could have been used to make better decisions.

The problem for the 2017 competition was provided by Syngenta, one of the foremost seed biotech companies in the world and winner of the 2015 INFORMS Franz Edelman Award for Achievement in Operations Research and the Management Sciences.  "Agriculture is transforming into a data driven business. The INFORMS community is superbly positioned to apply their talents to this industry, as evidenced by this unique student challenge,” said Joseph Byrum, Senior R&D and Strategic Marketing Executive.

As Title Sponsor, Syngenta also provided generous funding to the 2017 competition.  Twelve technology companies offered students complimentary access to their software.