Awards

2019 Competition Overview

Over 1,300 masters level students representing over 80 major universities in the U.S. registered for the national competition to compete for $52,500 in total prizes. The case competition focused on chronic pain and the treatment of this condition through long-term opioid therapy, which has increased dramatically over the past two decades. According to the Centers for Disease Control and Prevention, as many as 1 in 4 patients receiving long-term opioid therapy in a primary care setting will struggle with opioid disorder. Using de-identified data, the students were asked to predict long-term opioid therapy post initial treatment. The goal is to identify patients at risk for continued long-term use of opioid therapies allowing for early intervention.

The first-place team from the University of California, Los Angeles received a $30,000 prize. Students on this team were Leah Kelly, Ozgur Cetinok, and Erica Millwater.

The second-place team from Northwestern University received a $15,000 prize. Students on this team were Tanya Tandon and Saurubh Annadante.

The third-place team from New York University received a $7,500 prize. Students on this team were Shuyu Wang, Hong Gao, and Jie Yang.

Please view finalist submissions from 2019 to set a benchmark for the required competition component.

2018 Competition Overview

More than 300 masters-level students representing 109 teams from 19 major universities in the U.S. registered for the competition, which showcased students’ analytical abilities to solve a real-world business problem. The students were asked to predict the likelihood of a patient experiencing a heart attack within the next 3 months. Students had to evaluate more than 400 variables, including age and gender of the patient, geography, and other medical conditions.

The first-place team from the University of Southern California received a $20,000 prize. Students on this team were Lianne Ho, Edward Cho, and David Sung.

The second-place team from Bentley University received a $10,000 prize. Students on this team were Melody Sumiya, Qi Xu, and Hanyin Nifrom.

The third-place team from the University of California, Los Angeles received a $5,000 prize. Students on this team were Kyle Cross, Ming Hsin-Li, and Efrat Mordechay.

2017 Competition Overview

The analytics case received by the students was designed to be ambiguous, similar to a real-world business problem. The students were asked to predict the likelihood of a newly-diagnosed Type II diabetes patient with a Medicare Advantage health plan being admitted to an inpatient facility within a year and then the likelihood of re-admission within a year. Students had to evaluate more than 900 variables, including age of the patient, gender, geography, type of health plan, and patient medication adherence.

The first-place team from Purdue University received a $6,000 prize. Students on this team were Hongxia Shi, Shenyang Yang, and Xiangyi Che.

The second-place team from the University of Southern California received a $3,000 prize. Students on this team were Martin Shapiro, Lianne Ho, and David Sung.

The third-place team from the University of California, Berkeley received a $1,500 prize. Students on this team were Yvonne Yu, David Proudman, and Christina Murphy.