About Me

I’m a 5th year PhD candidate in Information Systems (minor in Economics) at the Robert H. Smith School of Business of the University of Maryland, working under the supervision of Prof. Siva Viswanathan. I extensively use Python, Stata, R and MATLAB along with modern data/text mining tools, deep learning techniques and econometrics to address empirical questions on

  1. Tackling excessive screening on online sharing platforms such as Airbnb.
  2. Repercussions to mobile apps when they delay adopting new platform policies that enhance users’ data privacy
  3. Effects of real-time information interventions on Smart TVs in nudging viewers to progress through the purchase funnel on connected second screens
  4. Economic impact of institutional forms such as Seed Accelerators.

Research Focus: Information Privacy, Platform Strategy, Sharing Economy, Mechanism Designs, Asymmetric Information

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

You can find my CV Summary here and Full CV here

Raveesh Mayya Professional

Research Interests

The following are 4 of the research papers that highlight my current research interests and industry collaborations. Please refer to my curriculum vitae for a list of all my working papers.

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

Media Coverage for my Startup Accelerator Paper : Snider Focus

Sharing Economy

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

Status: Invited for revision at MIS Quarterly (Joint work with Siva Viswanathan, Rajshree Agarwal and Shun Ye) An investigation of Airbnb’s mechanism design (Instant Booking) that mitigates information asymmetry and improves outcomes for a (deserving) sub-section of population ...
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Informed Consent

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

Status: Under review 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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Seed Accelerator

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

Status: Invited for re-submission 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 investment goals ...
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Smart TV Viewing

Impact of Real-Time Informational Interventions in Broadcast Media

Status: Experiment Design Complete. Deployment in October (Joint work with Siva Viswanathan) 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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Teaching

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

Awards/Grants

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

2019

Allan N. Nash Outstanding Doctoral Student Award – One of the 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
NSF Student Travel Grant – to present at WEIS 2019
Jacob K. Goldhaber Travel Grant – to present at SCECR 2019
OCIS Travel Grant – to participate at OCIS Doctoral Consortium at AOM 2019

2018

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)

2017

Research Grant by the Ed Snider Center

2016

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

2015

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.

Trivia/Quizzing

Volunteering

Re-engineering/Tinkering

Contact Me

 

University of Maryland, College Park
(+1) 240-254-four-four-six-four
raveesh [at] umd [dot] edu