About Me

I am an Assistant Professor of Technology in the department of Technology, Operations and Statistics (TOpS) at NYU Stern School of Business. I graduated from UMD Smith School of Business.

My research focuses on digital platform policies and the impact of policy changes on all sides of the platform. My dissertation research investigates the impact of platform policy changes that reduce the imbalance between different sides of an online platform. Some of my ongoing research include:

  1. Tackling “over-seeking” sensitive user information on mobile platforms such as Android.
  2. Enabling interactions between content providers and viewers on Smart TVs.
  3. Quantifying the consequences of regulatory interventions as a reaction to platform policies.
  4. Studying the impact of enabling redeemability of platform specific transaction tokens.
  5. Studying the heterogenous effects of information disclosure in an online marketplace.

Research Focus: Platform Self Regulation, Information Privacy, Asymmetric Information

Methodology: Econometrics, ML (Deep Learning), Textual Analysis, Field Experiments

You can find my CV Summary here and Full CV here

Raveesh Mayya Professional

Research Interests

Here are some of my research papers that highlight my current research interests and industry collaborations. Please refer to my curriculum vitae for a list of all my published/working papers

Media Coverage of my paper on Forgoing Screening in Airbnb : Snider Focus

Media Coverage for my Android Privacy Policy Paper : ZDNet , International Business Times , Smith Brain Trust , Maryland Today

Media Coverage for my Startup Accelerator Paper : Snider Focus

Location Divide in Digital Platforms? Evidence from a policy change

Status: Conference Presentations Stage. (Joint work with Lanfei Shi and Shun Ye) Amazon changed a policy to disclose sellers’ business information (including sellers’ location) to increase transparency. However, disclosing the location negatively affected international sellers, immaterial of quality ...
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Smart TV Viewing

Impact of Introducing Interactivity on a Linear TV: Evidence from a Large-Scale Randomized Field Experiment

Status: Conference Presentations Stage. (Joint work with Siva Viswanathan and Catherine Tucker) A large-scale randomized field experiment to improve the efficacy of Broadcast content consumption on Smart-TV by leveraging multi-screen connectivity to smart devices such as smart phones ...
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Seed Accelerator

Seed Accelerators and Information Asymmetries: Evidence from Corporate Venture Capital Investments

Status: Major Revision at Management Science (Joint work with Peng Huang) A comprehensive study of how seed accelerators help investors in addressing the assessment and valuation problem of startups and aiding them in achieving their diverse investment goals ...
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Informed Consent

Delaying Informed Consent: An Empirical Investigation of Mobile Apps’ Upgrade Decisions

Status: Major Revision at Management Science (Joint work with Siva Viswanathan) Android’s Information Privacy Policy enactment, strategic delaying of privacy policy adoption by some apps and impact of such strategic behavior on apps’ outcomes on Android Play Store ...
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Sharing Economy

Who Forgoes Screening in Online Markets and When? Evidence from Airbnb

Status: MIS Quarterly December 2021 (Joint work with Siva Viswanathan, Rajshree Agarwal and Shun Ye) An investigation of Airbnb’s policy change that allowed hosts to voluntarily forgo screening and how that improved outcomes for a sub-section of hosts ...
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I currently teach Information Technology in Business and Society (TECH UB 1) at Stern School of Business, NYU. TECH UB 1 focuses on how digital technologies are fundamentally different from other technologies. The course covers fundamentals of digital technologies, internet technologies, platform ecosystem and database systems, among others. I received a congratulatory email from the dean of undergraduate studies for my first attempt at teaching this course.

IT in Business and Society (TECH UB 1) – Spring 2021 (2 sections, 92 students)
Teaching Evaluation: 4.5 and 4.6/5.

During my two terms as an instructor in Database Systems (with lab) at the Robert H. Smith School of Business, I have also covered basics of Data Mining, Data Visualization and Frontiers of Data Science. I’m thrilled to have received Distinguished Teaching Award in my first attempt at teaching.

Database Systems (BMGT402) – Spring 2018 (38 students, IS/Business Analytics Major)
Teaching Evaluation: 4.72/5.00
Recipient, Distinguished Teaching Award 2017-2018 (Top 10% among all Faculty & Student instructors)

Database Systems (BMGT402) – Fall 2018 (38 students, IS/Business Analytics Major)
Teaching Evaluation: 4.87/5.00


Here are some of the Awards and Grants that I have received during my Ph.D. journey


Smith Outstanding Dissertation Award – UMD Smith’s annual dissertation award


Frank T. Paine Award for Academic Achievement – One of the two most prestigious awards for a doctoral student at R.H. Smith School of Business


Allan N. Nash Outstanding Doctoral Student Award – One of the two most prestigious awards for a doctoral student at R.H. Smith School of Business
Distinguished Teaching Award AY 2017-2018 (Top 10% among all Smith School instructors)
Nancy S. and Edward F. Ebert Graduate Award in Free Enterprise by Ed Snider Center for Enterprise and Markets
Best Paper Proceedings, Entrepreneurship Track – AOM Annual Meeting
Outstanding Graduate Assistant Award, Graduate School at UMD
NSF Student Travel Grant – to present at WEIS 2019 (Harvard, Cambridge)
OCIS Travel Grant – to participate at OCIS Doctoral Consortium at AOM 2019
International Conference Student Support Award – to present at WISE 2019 (LMU, Munich)
Jacob K. Goldhaber Travel Grant – to present at SCECR 2019 (CUHK, Hong Kong)


Computation Grant for Big Data Research by the Ed Snider Center
Summer Research Fellowship by UMD Graduate School ($5000)
Financial Aid to complete 5-course specialization in Deep Learning by Deeplearning.ai
Travel Grant – To participate in Wharton Innovation Doctoral Symposium (WINDS 2018)


Research Grant by the Ed Snider Center


Research Grant by the DIGITS Center
Dean’s Fellowship, Spring 2016


Dean’s Fellowship, Fall 2015

Books Published

I have been a passionate quizzer (trivia master) and have gained immensely from the quizzing community. I ventured into writing Quiz books as an attempt to contribute back to the community that nurtured me.

Book 1: Blitz the IT Quiz Book: I wrote this book during my freshman year at college (over a decade ago). Sapna Book House, a reputed publisher from Karnataka, India published this book during my sophomore year. Currently, the 6th (2018) edition is in circulation

Book 2: Kryptonite the IT Quiz book: This book was published in 2011, just before I started my MBA. The 2nd edition is currently in circulation and the 3rd edition is in the pipeline.

Read more about my books here

Beyond Research

Prior to/Along with pursuing my academic research, I have dabbled with and have developed a few alternative passions.




Contact Me


New York University, NY
raveesh [at] nyu [dot] edu