SAS Data Mining Best Paper Award

2022 Winner(s)

Winning material: Improving Human Decision-Making with Machine Learning

Purpose of the Award

The Data Mining (DM) Society of INFORMS announces the DM Best Paper Competition to recognize excellence among its members. The objective of the best paper competition is to recognize excellence among the high-quality research works of DM society members, and brings prestige to DM Society as well as to the recipients.

Application process:

Click here for more information.


Past Awardees

2022 Winner(s)
Hamsa Bastani, University of Pennsylvania Osbert Bastani, University of Pennsylvania
Park Sinchaisri, Wharton
2022 Finalist
Negin Golrezaei Vahideh Manshadi, Yale School of Management
Shreyas Sekar Jon Schneider
2022 Runner-Up
Paul Brooks, Virginia Commonwealth University David J. Edwards Craig E. Larson Nico Van Cleemput
2020 Winner(s)
N. Bora Keskin, Duke University
Yuexing Li, Duke University
Nur Sunar, University of North Carolina
2020 Finalist
Murtaza Nasir, University of Massachusetts Lowell
Ali Dag, Creighton University
Serhat Simsek , Montclair State University
Asil Oztekin, University of Massachusetts Lowell
2020 Runner-Up
Ramin Moghaddas , University of Miami Yongtao Guan, University of Miami
2019 Winner(s)
Feng Liu , Massachusetts General Hospital, Harvard Medical School, Boston, MA Li Wang, The University of Texas at Arlington Yifei Lou, The University of Texas at Dallas Ren-Cang Li, The University of Texas at Arlington Patrick L. Purdon, Massachusetts General Hospital, Harvard Medical School
2019 Finalist
Gah-Yi Ban, University of Maryland N. Bora Keskin, Duke University
Maxime C. Cohen, McGill University Kevin Jiao, New York University Renyu Zhang, New York University
Andi Wang, Georgia Institute of Technology Juan Du, Georgia Institute of Technology
Xi Zhang , Peking University Jianjun Shi, Georgia Institute of Technology
2016 Winner(s)
Tuo Zhao, Johns Hopkins University
Paul Brooks, Virginia Commonwealth University
Chitta Ranjan, George Institute of Technology
Xiaolei Fang, Georgia Institute of Technology