Best Cluster Paper Award

2021 First Place

Winning material: Pooling Servers for Customer-Intensive Services: Theory and Experimental Evidence

2021 First Place

Winning material: Delay Information in Virtual Queues: A Large-Scale Field Experiment on a Ride-Sharing Platform

Purpose of the Award

This award is a competitive award, started in 2013, which is based on the best papers submitted to the Section's sponsored cluster at the INFORMS Annual Meeting.

Application process:

Click here for more information.


Past Awardees

2021 First Place
Luyi Yang
Qiuping Yu, Georgia Institute of Technology
2021 Third Place
Pnina Feldman
2021 Finalist
Bhavani Shanker Uppari
Ruihao Zhu, Purdue University
Yao Cui, Cornell SC Johnson College of Business
Yiwen Shen, Columbia University
Warut Khern-am-nuai, McGill University
Aditya Vedantam, University at Buffalo
Nitin Bakshi, London Business School
Seokjun Youn, University of Arizona
Wenhao Li, City University of Hong Kong
Zhimei Ren, Stanford University
Zhenzhen Jia, Fudan University
2018 Winner(s)
Maxime C. Cohen, McGill University Michael D. Fiszer Baek Jung Kim
Tamar Cohen-Hillel Georgia Perakis, Massachusetts Institute of Technology Kiran Panchamgam
2018 Finalist
Adam Elmachtoub, Columbia Vishal Gupta, Massachusetts Institute of Technology Michael L. Hamilton
Jon M. Stauffer Aly Megahed, IBM Research Chelliah Sriskandarajah, University of Texas at Dallas Ahmed Nazeem
Jianfu Wang Ming Hu, University of Toronto
Saif Benjaafar, The University of Minnesota Jian-Ya Ding Guangwen Kong, University of Minnesota Terry Taylor , University of California - Berkeley
Zhong-Zhong Jiang Guangwen Kong, University of Minnesota Yinghao Zhang
2018 Runner-Up
Selin Merdan, University of Michigan Christine Barnett , University of Michigan Brian T. Denton, University of Michigan  James E. Montie, University of Michigan David C. Miller , University of Michigan
2016 Winner(s)
Lennart Baardman Maxime C. Cohen, McGill University Georgia Perakis, Massachusetts Institute of Technology Kiran Panchamgam Danny Segev