Param Vir Singh

Carnegie Bosch Professor of Business Technologies and Marketing,
Carnegie Mellon University


Bio

Contact

PhD Students

Publications

Working Papers

Work in Progress

Personal

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Bio

I am the Carnegie Bosch Professor of Business Technologies and Marketing, and Director of the PNC Center for Financial Services Innovation at the Tepper School of Business, Carnegie Mellon University. I am the youngest recipient of the prestigious INFORMS Information Systems Society Distinguished Fellow award. In 2022, I was named PhD Distinguished Alumnus by University of Washington. I received the inaugural Sandra Slaughter Early Career Award in 2015.

My ongoing research attempts to bring insights from economics and machine learning to bear on topics in artificial intelligence and its implications to businesses and society. I study algorithmic bias, transparency and interpretability from an economic perspective and investigate the impact of artificial intelligence based solutions in mitigating social inequality. My goal is to develop economic aware machine learning algorithms. In related space, I have quantified the economic value of unstructured data (including text and images) combining deep learning and econometric methods in a number of settings.

I serve as the Senior Editor of Information Systems Research and an Associate Editor at Management Science. Together with Yong Tan and Anindya Ghose, I launched the SMART Workshop in 2013 which teaches business PhD students structural econometric modeling and machine learning methods. I have served as co-chair of Workshop on Information Systems and Economics 2012, Conference of Information Technology and Systems 2012 and the chair of Information Systems cluster at the Informs Annual Meeting in 2011 and 2015.

Curriculum Vitae (Updated March 2021)


Contact

Email: psidhu@cmu.edu
Tel: +1 (412) 268-3585
Address:
David A. Tepper School of Business
Tepper Quad 5167, Carnegie Mellon University
Pittsburgh, PA 15213
U.S.A.

Teaching
45882: Digital Marketing and Social Media Strategy (MBA)
45885: Data Visualization (MBA)
46885: Data Visualization and Exploration (MSBA)
47952: Estimating Dynamic and Structural Models (PhD)
45828: Fintech (MBA) past course


PhD Students

Current PhD Students
Qiaochu Wang
Liying Qiu

Past PhD Students (bold if Chair/Co-Chair dissertation committee)
Runshan Fu (New York University - Marketing)
Nikhil Malik (University of Southern California - Marketing)
Shunyuan Zhang (Harvard Business School - Marketing)
Elina Hwang (University of Washington - Information Systems)
Yan Huang (Carnegie Mellon University - Business Technology)
Yingda Lu (University of Illinois at Chicago - Information Systems)
Xiao Liu (New York University - Marketing)
Vilma Todri (Emory University - Information Systems)


Publications

Algorithmic Transparency with Strategic Users

(with Qiaochu Wang, Yan Huang and Stefanus Jasin)

Management Science, Forthcoming

Abstract (click to expand)

Online Appendix

Why Bitcoin will Fail to Scale?

(with Nikhil Malik, Manmohan Aseri and Kannan Srinivasan)

Management Science, Forthcoming

Abstract (click to expand)

Online Appendix

Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft

(with Shunyuan Zhang, Dokyun Lee and Tridas Mukhopadhyay)

Journal of Marketing Research, 59 (2), 2022, 374-391.

Abstract (click to expand)

Online Appendix

AI Can Help Address Inequity — If Companies Earn Users’ Trust

(with Shunyuan Zhang, Kannan Srinivasan and Nitin Mehta)

Harvard Business Review, September 17, 2021

Abstract (click to expand)

What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features

(with Shunyuan Zhang, Dokyun Lee and Kannan Srinivasan)

Management Science, forthcoming

Abstract (click to expand)

Online Appendix

"Un"fair Machine Learning Algorithms

(with Runshan Fu, Manmohan Aseri and Kannan Srinivasan)

Management Science, forthcoming

Abstract (click to expand)

Online Appendix

Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

(with Shunyuan Zhang, Nitin Mehta and Kannan Srinivasan)

Frontiers at Marketing Science, 40(5), 2021, 813-820. [Finalist, John DC Little Award]

Abstract (click to expand)

Online Appendix

Crowd, Lending, Machine and Bias

(with Runshan Fu and Yan Huang)

Information Systems Research, 32(1), 2021, 72-92

Abstract (click to expand)

Online Appendix

Artificial Intelligence and Algorithmic Bias: Source, Detection, Mitigation, and Implications

(with Runshan Fu and Yan Huang)

Tutorials in Operations Research, 2020

Abstract (click to expand)

Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel

(with Vilma Todri and Anindya Ghose)

Information Systems Research, 31(1), 2020, 102-125 [Runner Up to Best Published paper in Information Systems Research]

Abstract (click to expand)

Deep Learning in Computer Vision: Methods, Interpretation, Causation and Fairness

(with Nikhil Malik)

Tutorials in Operations Research, 2019

Abstract (click to expand)

Jack of All, Master of Some: Knowledge Network and Innovation

(with Elina Hwang and Linda Argote)

Information Systems Research, 30(2), 2019, 389-410

Abstract (click to expand)

A Structural Analysis of the Role of Superstars in Crowdsourcing Contests

(with Shunyuan Zhang and Anindya Ghose)

Information Systems Research, 30(1), 2019, 15-33

Abstract (click to expand)

Copycats versus Original Mobile Apps: A Machine Learning Detection Method and Empirical Analysis

(with Quan Wang and Beibei Li)

Information Systems Research 29(2), 2018, 273-291 [Runner Up to Best Published paper in Information Systems Research]

Abstract (click to expand)

Runner-up to Best Published Paper at Information Systems Research

Is Core-Periphery Network Good for Knowledge Sharing? A Structural Model of Endogenous Network Formation on a Crowdsourced Customer Support Forum

(with Yingda Lu and Baohong Sun)

Management Information Systems Quarterly, 41(2), 2017, 607-628

Abstract (click to expand)

A Structured Analysis of Unstructured Big Data Leveraging Cloud Computing

(with Xiao Liu and Kannan Srinivasan)

Marketing Science, 35(3), 2016, 363-388

Abstract (click to expand)

Forgotten Third Parties: Analyzing the Contingent Association between Unshared Third Parties, Knowledge Overlap and konwledge Transfer Relationships with Outsiders

(with Ray Reagans and Ramayya Krishnan)

Organization Science, 26(5), 2015, 1400-1414

Abstract (click to expand)

Knowledge Sharing in Online Communities: Learning to Cross Geographic and Hierarchical Boundaries

(with Elina Hwang and Linda Argote)

Organization Science, 26(6), 2015, 1593-1611

Abstract (click to expand)

A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media

(with Yan Huang and Anindya Ghose)

Management Science, 61(12), 2015, 2825-2844

Abstract (click to expand)

An Empirical Analysis of the Impact of Pre-Release Movie Piracy on Box-Office Revenue,

(with Liye Ma, Alan Montgomery and Michael Smith)

Information Systems Research, 25(3), 2014, 590-603

Abstract (click to expand)

Crowdsourcing New Product Ideas under Consumer Learning

(with Yan Huang and Kannan Srinivasan)

Management Science, 60(9), 2014, 2138-2159

Abstract (click to expand)

Online Appendix

How to Attract and Retain Readers in Enterprise Blogging?

(with Nachiketa Sahoo and Tridas Mukhopadhyay)

Information Systems Research, 25(1), 2014, 35-52

Abstract (click to expand)

The Emergence of Opinion Leaders in a Networked Online Community: A Dyadic Model with Time Dynamics and a Heuristic for Fast Estimation

(with Yingda Lu and Kinshuk Jerath)

Management Science, 59(8), 2013, 1783-1799

Abstract (click to expand)

Online Appendix

Networks, Social Influence and the Choice Among Competing Innovations: Insights from Open Source Software Licenses

(with Corey Phelps)

Information Systems Research, 24(3), 2013, 539-560

Abstract (click to expand)

A Hidden Markov Model of Collaborative Filtering

(with Nachiketa Sahoo and Tridas Mukhopadhyay)

Management Information Systems Quarterly, 35(4), 2011, 813-829

Abstract (click to expand)

Blog, Blogger, and the Firm: Can Negative Posts by Employees Lead to Positive Outcomes,

(with Rohit Aggarwal, Ram Gopal and Ramesh Sankaranarayanan)

Information Systems Research, 23(2), 2012, 305-322

Abstract (click to expand)

Network Effects: The Influence of Structural Social Capital on Open Source Project Success

(with Yong Tan and Vijay Mookerjee)

Management Information Systems Quarterly, 35(4), 2011, 813-829

Abstract (click to expand)

Learning Curves of Agents with Diverse Skills in Information Technology Enabled Physician Referral Systems

(with Tridas Mukhopadhyay and Seung Hyun Kim)

Information Systems Research, 22(3), 2011, 586-605 [Runner Up to Best Published paper in Information Systems Research]

Abstract (click to expand)

Runner-up to Best Published Paper at Information Systems Research

A Hidden Markov Model of Developer Learning Dynamics in Open Source Software Projects

(with Yong Tan and Nara Youn)

Information Systems Research, 22(4), 2011, 790-807

Abstract (click to expand)

Developer Heterogeneity and Formation of Communication Networks in Open Source Software Projects

(with Yong Tan)

Journal of Management Information Systems, 27(3), 2011, 179-210

Abstract (click to expand)

The Small World Effect: The Influence of Macro Level Properties of Developer Collaboration Networks on Open Source Project Success

ACM Transactions of Software Engineering and Methodology, 20(2), 2010, 6:1-6:27

Abstract (click to expand)


Working Papers

Algorithmic Lending, Competition, and Strategic Information Disclosure

(with Qiaochu Wang, and Yan Huang)

Under Review, Management Science

Abstract (click to expand)

When Does Beauty Pay? A Large Scale Image Based Appearance Analysis on Career Transitions

(with Nikhil Malik and Kannan Srinivasan)

Revising for Information Systems Research

Abstract (click to expand)

Do Lower Quality Images Lead to Greater Demand at Airbnb?

(with Shunyuan Zhang, Nitin Mehta and Kannan Srinivasan)

Revising for Marketing Science

Algorithms, Artificial Intelligence and Simple Rule Based Pricing

(with Qiaochu Wang and Kannan Srinivasan)

Abstract (click to expand)

Product Rankings, AI Pricing Algorithms, and Collusion

(with Liying Qiu and Yan Huang)

Abstract (click to expand)



Work in Progress

Privacy Discrimination Under GDPR

(with Qiaochu Wang and Yan Huang)


Personal

I live in Pittsburgh with my wife Kiran, daughter Elin, son Aidan, and two Australian shepherds (Blue Coco) and Gucci Bear. Watch Coco catching a frisbee. Our beloved pet an English bulldog (Mister President aka Georgy) left us for puppy heaven in 2021. Kiran is a dentist in Fox Chapel Pittsburgh.

What I am doing now a days? I am intrigued by behavioral economics after reading several papers in development economics area with applications in the field (particularly works of Abhijit Banerjee, Esther Duflo, Gautam Rao, David Atkin, and Stefanos Della Vigna. I am reading up on in this area and hope to do research in this space in near future. I am hopeful that posting this information publicly would act as a commitment device for me and would prevent me from procrastinating.

Thanks to Gautam Rao for sharing the code of his website which I have used here.