Grants & Funding:
  1. NBER Research Award on Economics of Transportation 2023. (with Lee Branstetter)
  2. Amazon Faculty Research Award 2023. (with Yan Huang)
  3. NBER Research Award on Economics of Transportation $60,671. 2021. (with Lee Branstetter)
  4. NSF Award on Civic Innovation Challenge $50,000. 2021. (with Lee Branstetter and Sean Qian)
  5. Award from R. K. Mellon Foundation $150,000. 2020-2021. (with Lee Branstetter)
  6. Award from Block Center for Technology and Society $60,000. 2020. (with Lee Branstetter)
  7. Amazon Faculty Research Award $70,000. 2020.
  8. Facebook Faculty Research Award $60,000. 2020.
  9. NSF Award on Future of Work at the Human-Technology Frontier for "FW-HTF-RL: Collaborative Research: Up-skilling and Re-skilling Marginalized Rural and Urban Digital Workers: AI-worker collaboration to access creative work," $2.5M (co-PI). 2019-2023. (with Jeffrey Bigham, Amy Pavel, Amy Ogan, Aniket Kittur)
  10. NSF Award on Social, Behavioral, Economic Research for "Driving Low-Income Mothers to Greater Success: The Impact of Ride-hailing on Employment and Income," $285,080 (co-PI). 2019-2021. (with Lee Branstetter and Lowell Taylor)
  11. Award from Hillman Foundation and Metro21 Institute. 2018-2019. (with Alexandre Jacquillat)
  12. NSF Award on Smart and Connected Communities for "mHABIT - Towards Building a Living Lab for mHealth Analytical and Behavioral Research using Internet of Things," $230,751 (PI). 2016-2018. (with Anindya Ghose)
  13. PNC Center for Financial Services Innovation Research Grant for "Smart Transportation, Consumer Mobility Patterns and Financial Behaviors," 2016-2017. (with Zhe Zhang)
  14. Berkman Faculty Award for "Sharing Economy and Quality of the Service Industry: The Case of Airbnb," Carnegie Mellon Univerity, $4,100. 2015-2016
  15. Google Faculty Research Award for "A Road to Mobile Advertising: Linking Online Social Pathway with Offline Physical Trajectory," $66,000. 2015.
  16. Marketing Science Institute Grant for "Towards Revolutionizing and Tackling New Frontiers in Mobile Advertising," 2015. (with Anindya Ghose)
  17. Adobe Faculty Research Award for "Mobile Trajectory-based Advertising," $50,000. 2015. (with Anindya Ghose)
  18. Traffic21 Faculty Research Grant for "Understanding User Economic Behavior in the City Using Large-scale Geotagged and Crowdsourced Mobility Analytics," $24,030. 2015-2016. (with Jason I. Hong)
  19. Berkman Faculty Award for "Lies That Speak the Truth: Examining the Social and Economic Consequences of Online Review Fraud," Carnegie Mellon Univerity. $5,100. 2014-2015.
  20. PNC Center for Financial Services Innovation Research Grant for "When the Bank comes to you: Channel Adoption and Choice in an Omni-Channel Context," $20,000. 2013-2014. (with Vibhanshu Abhishek)
  21. WCAI-Wharton Customer Analytics Initiative Research Opportunity Grant Award for "Examining the Synergetic Effects among Multi-Channel Branding Campaigns," 2012-2013. (with Foster Provost)
  22. ICDE PhD Workshop Fellowship Award for "Towards a Theory Model for Product Search," ($1,000 by NSF grant IIS-0956600), 2010.
Journal Publications:
  1. Personalized Privacy Preservation in Consumer Mobile Trajectories. 2023. Information Systems Research. Forthcoming. (with Meghanath Macha, Natasha Foutz, Anindya Ghose) PDF
  2. Ridesharing and Digital Resilience for Urban Anomalies: Evidence from NYC Taxi Market. 2023. Information Systems Research. (with Yingjie Zhang, Sean Qian) PDF
  3. Profit vs. Equality? The Case of Financial Risk Assessment and A New Perspective of Alternative Data. 2023. MIS Quarterly. Forthcoming. (with Yingjie Zhang, Tian Lu) SSRN
  4. Predicting Instructor Performance in Online Education: An Interpretable Hierarchical Transformer with Contextual Attention. 2023. Information Systems Research. (with Wen Wang, Mi Zhou)
  5. Deep Reinforcement Learning for Sequential Targeting. Management Science. 2022. Forthcoming. (with Wen Wang, Xueming Luo, Xiaoyi Wang)SSRN
  6. Consumer Health in the Digital Age. Journal of the Association for Consumer Research. 2022. Forthcoming. (with Peggy Liu, Jeffrey Inman, Charlene Wong, Nathan Yang).
  7. Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment. 2021. MIS Quarterly. Forthcoming. (with Anindya Ghose, Xitong Guo, Yuanyuan Dang) PDF
  8. Learning Individual Behavior Using Sensor Data: The Case of GPS Traces and Taxi Drivers. 2020. Information Systems Research. Best Paper Award of the Year Runner-up (with Yingjie Zhang, Ramayya Krishnan) SSRN
  9. A Tangled Web: Should Online Review Portals Display Fraudulent Reviews? 2020. Information Systems Research. Forthcoming. (With Michael D. Smith, Uttara Ananthakrishnan) SSRN
  10. When The Bank Comes To You: Branch Network and Custsomer Multi-Channel Banking Behavior. 2019. Information Systems Research. (with Mi Zhou, Dan Geng, Vibhanshu Abhishek) PDF
  11. Mobile Advertising Using Customer Trajectory Patterns. 2019. Management Science. (with Anindya Ghose, Siyuan Liu) PDF
  12. Personalized Mobile Targeting with User Engagement Stages: Combining Structural Hidden Markov Model and Field Experiment. 2019. Information Systems Research. (with Yingjie Zhang, Xueming Luo, Xiaoyi Wang) PDF
  13. Modeling Consumer Footprints on Search Engines: An Interplay with Social Media. 2019. Management Science. Forthcoming. (with Anindya Ghose, Panagiotis G. Ipeirotis) PDF
  14. Examining the Impact of Contextual Ambiguity on Search Advertising Keyword Performance: A Topic Model Approach. 2017. MIS Quarterly. (with Vibhanshu Abhishek, Jing Gong) PDF
  15. Copycats versus Original Mobile Apps: A Machine Learning Copycat Detection Method and Empirical Analysis. 2017. Information Systems Research. Best Paper Award of the Year Runner-up (with Param Vir Singh, Quan Wang) PDF
  16. Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue. Management Science. 2014.(with Anindya Ghose and Panagiotis G. Ipeirotis) PDF
  17. Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content. Marketing Science. 2012. (with Anindya Ghose and Panagiotis G. Ipeirotis) PDF
  18. Using Online Geotagged and Crowdsourced Data to Understand Human Offline Behavior in the City: An Economic Perspective. 2017. ACM Transactions on Intelligent Systems and Technology (ACM TIST, 5-Year Impact Factor: 10.47, ranked No.1 in all ACM journals and No.2 in all computer science-related journals including ACM, IEEE, and Springers journals). Forthcoming. (with Yingjie Zhang, Jason I. Hong) PDF
  19. The impact of Car specifications, prices, and incentives for electric vehicles in Norway: choices of heterogeneous consumers. Transportation Research Part C: Emerging Technologies. (top journal in transportation research, 5-Year Impact Factor: 3.631). 2016. Vol. 69, pp. 386~401. (with Yingjie Zhang, Sean Qian, and Frances Sprei) PDF
  20. Everywhere and at All Times: Mobility, Consumer Decision-Making, and Choice. Customer Need and Solutions. 2018. 5(1), 15-27. (with Nicholas H. Lurie, Jonah Berger, Zoey Chen, Hongju Liu, Charlotte H. Mason, David M. Muir, Grant Packard, Joseph Pancras, Ann E. Schlosser, Baohong Sun, Rajkumar Venkatesan). PDF
Selected Working Papers:
  1. Human-Algorithmic Bias: Source, Evolution, and Impact. 2023. (with Xiyang Hu, Tian Lu, Yan Huang)
  2. The Interplay Between Individual Mobility, Health Risk, and Economic Choice: A Holistic Model for COVID-19 Policy Intervention. 2023. (With Zihao Yang, Ramayya Krishnan)
  3. Trading Privacy for the Greater Social Good: How Did America React During COVID-19? 2023. Revision at Management Science. (with Anindya Ghose, Meghanath Macha, Chenshuo Sun, Natasha Foutz)
  4. Has Ridehailing Exacerbated Inequalities in Local Spending? Analysis of Ridehailing Usage and Consumption Patterns in 2012-2016. 2023. Under review at ISR. (with Zhe Zhang)
  5. Real-Time Purchase Prediction Using Retail Video Analytics. 2023. (with Rubing Li, Anindya Ghose, Kaiquan Xu)
  6. Empower Audience Creativity Using Multi-Modal Video Analytics: Evidence From TED Talks. 2023. (with Wen Wang, Mike Smith)
  7. Resilience of the U.S. Gig Economy during the COVID-19 Pandemic: Insights from Location Big Data. 2023. (with Naveen Basavaraj, Natasha Foutz)
Work-in-progress:
  1. Moving Health Forward: Understanding Consumer Healthcare Risk from Location Trajectories. 2022. (with Meghanath Macha, Natasha Foutz)
  2. Nudging Mobile Customers with Real-Time Social Dynamics. 2020. (with Anindya Ghose and Siyuan Liu)
  3. To Disguise or To Disclose? Effect of Mimicking News Articles on Sponsored Content Engagement. 2018 (with Quan Wang)
  4. Using TB-Sized Data to Understand Multi-Device Advertising. 2017. (with Quan Wang, Pengyuan Wang (Yahoo! Labs))
  5. The Impact of Mobile Channel Adoption On Customer Omni-Channel Banking Behavior. 2018. (with Vibhanshu Abhishek and Jun Liu)
  6. Modeling Health Risk Using Attention-based Graph Convolutional Networks: The Case of Pharmaceutical Consumption. 2021. (with Wen Wang, Xueming Luo)
Patents:
  1. Apparatus, system, method and computer-readable medium for performing a product search using user-generated and crowd-sourced content. Li, B., A. Ghose, P.Ipeirotis, International Publication Number WO 2012/064661 issued May 2012.
  2. System, method and computer accessible medium for determining one or more effects of rankings on consumer behavior. Li, B., A. Ghose, P. Ipeirotis. 239099.US.02-32882-219651. Pending. 2016.
Conference Publications:
  1. Real-Time Purchase Prediction Using Retail Video Analytics. In Proceedings of the International Conference on Information Systems (ICIS), 2022. (with Rubing Li, Anindya Ghose, Kaiquan Xu) Best Impact Paper Award
  2. Empower Audience Creativity Using Multi-Modal Video Analytics: Evidence From TED Talks. In Proceedings of the International Conference on Information Systems (ICIS), Austin TX, 2021. (with Wen Wang) Best Paper Award Nomination
  3. Nudge to Refill? Modeling Consumer Health Risk with Graph Convolutional Networks for Online Pharmaceutical Targeting. In Proceedings of the International Conference on Information Systems (ICIS), Austin TX, 2021. (with Wen Wang, Xueming Luo) Kauffman Best Student Paper Award Nomination
  4. Resilience of the U.S. Gig Economy during the COVID-19 Pandemic: Insights from Location Big Data. In Proceedings of the International Conference on Information Systems (ICIS), Austin TX, 2021. (with Naveen Basavaraj and Natasha Foutz)
  5. Uncovering the Source of Evaluation Bias in Micro-Lending. In Proceedings of the International Conference on Information Systems (ICIS), Austin TX, 2021. (with Xiyang Hu, Yan Huang, Tian Lu)
  6. Trading Privacy for the Greater Social Good: How Did America React During COVID-19?. In Proceedings of the International Conference on Information Systems (ICIS), 2020. (with Anindya Ghose, Meghanath M Y, Chenshuo Sun, Natasha Zhang Foutz)
  7. AI Agents for Sequential Promotions: Combining Deep Reinforcement Learning and Dynamic Field Experimentation. In Proceedings of the International Conference on Information Systems (ICIS), 2020. (with Wen Wang, Xueming Luo, Xiaoyi Wang)
  8. Personalizing Debt Collections: Combining Reinforcement Learning and Field Experiment. In Proceedings of the International Conference on Information Systems (ICIS), 2020. (with Tracy Yang, Tian Lu, Xianghua Lu)
  9. The Value of Alternative Data in Credit Risk Prediction: Evidence from a Large Field Experiment. In Proceedings of the International Conference on Information Systems (ICIS), Munich, 2019. (with Tian Lu, Yingjie Zhang) Best Paper Award
  10. Geo-Targeting, Privacy, and the Rise of Consumer Location Trajectories. In Proceedings of the International Conference on Information Systems (ICIS), Munich, 2019. (with Meghanath M Y, Natasha Zhang Foutz)
  11. To Disguise or To Disclose? Effect of Mimicking News Articles on Sponsored Content Engagement. In Proceedings of the International Conference on Information Systems (ICIS), San Francisco, 2018. (with Quan Wang) Best Paper Award Nomination
  12. An Empirical Investigation of Sales Cheating Effect in E-commerce. In Proceedings of the International Conference on Information Systems (ICIS), San Francisco, 2018. (with Le Wang, Jiahui Mo)
  13. A Quasi-experimental Estimate of the Impact of P2P Transportation Platforms on Urban Consumer Patterns. In Proceedings of the 23th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Halifax, NS, Canada, August 13-17, 2017. (with Zhe Zhang)
  14. The Impact of Mobile Adoption on Customer Omni-Channel Banking Behavior. In Proceedings of the International Conference on Information Systems (ICIS), Dublin, 2016. (with Jun Liu, Vibhanshu Abhishek)
  15. Modeling User Engagement in Mobile Content Consumption with Tapstream Data. In Proceedings of the International Conference on Information Systems (ICIS), Dublin, 2016. (with Yingjie Zhang, Xueming Luo)
  16. Using TB-Sized Data to Understand Multi-Device Advertising. In Proceedings of the International Conference on Information Systems (ICIS), Dublin, 2016. (with Quan Wang, Pengyuan Wang, Jimmy Yang)
  17. Understanding User Economic Behavior in the City Using Large-scale Geotagged and Crowdsourced Data. Forthcoming in Proceedings of the 25th International World Wide Web Conference (WWW), Montreal, Canada, April 2016. (With Yingjie Zhang and Jason Hong)
  18. A Tangled Web: Evaluating the Impact of Displaying Fraudulent Reviews. In Proceedings of the International Conference on Information Systems (ICIS), Dallas TX, 2015. (With Uttara Ananthakrishnan and Michael D. Smith) Best Paper Award Nomination
  19. Trajectory-based Mobile Advertising. In Proceedings of the International Conference on Information Systems (ICIS), Dallas TX, 2015. (With Anindya Ghose and Siyuan Liu)
  20. Learning from the Offline Trace: A Case Study of the Taxi Industry. In Proceedings of the International Conference on Information Systems (ICIS), Dallas TX, 2015. (With Yingjie Zhang, Ramayya Krishnan, and Siyuan Liu)
  21. When the Bank Comes to You: Branch Network and Customer Multi-Channel Banking Behavior. In Proceedings of the International Conference on Information Systems (ICIS), Dallas TX, 2015. (With Vibhanshu Abhishek and Dan Geng)
  22. Perils of Uncertainty? The Impact of Contextual Ambiguity on Search Advertising Keyword Performance. International Conference on Information Systems (ICIS), New Zealand 2014. (with Vibhanshu Abhishek and Jing Gong)
  23. Zoom in iOS Clones: Examining the Antecedents and Consequences of Mobile App Copycats. International Conference on Information Systems (ICIS), New Zealand 2014. (with Param Vir Singh and Quan Wang)
  24. Search Less, Find More? Examining Limited Consumer Search with Social Media and Product Search Engines. International Conference on Information Systems (ICIS), Orlando 2012. (with Anindya Ghose and Panagiotis G. Ipeirotis) Best Theme Paper Award
  25. Towards a Theory Model for Product Search. In Proceedings of the 20th International World Wide Web Conference (WWW 2011), Hyderabad, India, March 2011. (with Anindya Ghose and Panagiotis G. Ipeirotis) Best Paper Award
  26. Designing Ranking Systems for Hotels on Travel Search Engines to Enhance User Experience. In Proceedings of the International Conference on Information Systems (ICIS 2010), St. Louis, December. (with Anindya Ghose and Panagiotis G. Ipeirotis)
Papers and Talks in Workshops and Conference Programs:
  1. The Interplay Between Individual Mobility, Health Risk, and Economic Choice: A Holistic Model for COVID-19 Policy Intervention. 2022. Statistical Conference in E-Commerce Research (SCECR). (with Zihao Yang, Ramayya Krishnan)
  2. Uncovering the Source of Machine Bias. (INCOFMRS CIST) 2021. (with Xiyang Hu, Tian Lu, Yan Huang) Best Student Paper Award Nomination
  3. Perils of Location Tracking? Personalized and Interpretable Privacy Preservation in Consumer Mobile Trajectories. Workshop on Information Technology and Systems (WITS). 2019. (with Meghanath M Y, Natasha Zhang Foutz, Anindya Ghose) Best Paper Award
  4. Meet an Emergency? An Empirical Analysis on Productivity of Taxi and Ridesharing Platforms. WITS, CIST. 2018. (With Yingjie Zhang, Sean Qian)
  5. Learning Individual Behavior Using Sensor Data: The Case of GPS Traces and Taxi Drivers. Workshop on Information Systems and Economics (WISE). 2017. (with Yingjie Zhang, Ramayya Krishnan) Best Student Paper Award
  6. Bike Sharing and Car Trips in the City: The Case of Healthy Ride Pittsburgh. Workshop on Information Technology and Systems (WITS).2016. (with Konstantinos Pelechrinis, Sean Qian)
  7. Peer-to-Peer Transportation Platforms, Consumer Mobility, and Urban Consumption Patterns. Workshop on Information Systems and Economics (WISE). 2016. (with Zhe Zhang)
  8. Modeling User Engagement in Mobile Content Consumption with Tapstream Data. INFORMS Conference of Information Systems and Technology (CIST), CODE@MIT. 2016. (with Yingjie Zhang, Xueming Luo)
  9. Learning from the Offline Trace: A Case Study of the Taxi Industry. The Symposium on Statistical Challenges in Electronic Commerce Research (SCECR). 2016. (With Yingjie Zhang, Ramayya Krishnan)
  10. Mobile Advertising and Real-Time Social Dynamics. Marketing Science 2016. (with Anindya Ghose, Siyuan Liu)
  11. When Structural Model Meets Big Data: Examining Multi-Device Attribution for Native Ads Using TB-Sized Data. (with Quan Wang, Pengyuan Wang, Jimmy Yang) WISE 2015.
  12. All World's a Home - Estimating Hotel Latent Quality under Airbnb Entry. (With Uttara Ananthakrishnan and Michael D. Smith) WISE 2015. Best Student Paper Award Runner-up
  13. Mobile Advertising and Real-Time Group Dynamics: Evidence from A Randomized Field Experiment. (with Anindya Ghose and Siyuan Liu) Conference on Digital Experimentation (CODE), MIT, 2015.
  14. Learning from the Offline Trace: A Case Study of the Taxi Industry. (with Yingjie Zhang, Ramayya Krishnan, and Siyuan Liu) WITS 2015.
  15. A Tangled Web: The Impact of Displaying Fraudulent Reviews on Product Search Engines. CIST 2015, Winter Conference on Business Intelligence 2015.(With Uttara Ananthakrishnan and Michael D. Smith)
  16. Mobile Trajectory-Based Advertising: Evidence from A Large-Scale Randomized Field Experiment. (with Anindya Ghose and Siyuan Liu) Conference on Digital Experimentation (CODE), MIT, 2014.
  17. Zoom in iOS Clones: Examining the Impact of Copycats on Mobile App Downloads. (with Param Vir Singh and Quan Wang) CIST 2014.
  18. Perils of Uncertainty? The Impact of Contextual Ambiguity on Search Advertising Keyword Performance. (With Vibhanshu Abhishek and Jing Gong) INFORMS 2014, CIST 2014 Best Student Paper Award, Marketing Science 2014, Winter Conference on BI 2014, CSWIM 2014 Best Paper Award Runner-up
  19. Surviving Social Media Overload: Predicting Consumer Footprints on Product Search Engines. (with Anindya Ghose and Panagiotis G. Ipeirotis) WISE 2012, INFORMS 2012.
  20. Examining the Impact of Search Engine Ranking and Personalization on Consumer Beavior: Combining Bayesian Modeling with Randomized Field Experiments. (with Anindya Ghose and Panagiotis G. Ipeirotis) WISE 2011
  21. Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content. (with Anindya Ghose and Panagiotis G. Ipeirotis) Bass UTD Forms Conference 2012, bi-annual Conference on the Economics of Intellectual Property, Software and the Internet 2011, INFORMS Marketing Science Conference 2010, SCECR 2010
  22. The Economic Impact of User-Generated Content on the Internet: Combining Text Mining with Demand Estimation in the Hotel Industry. (with Anindya Ghose and Panagiotis G. Ipeirotis) WISE 2009, WIST 2009.
  23. Stay Elsewhere? Improving Local Search for Hotels Using Econometric Modeling and Image Classification. (with Anindya Ghose and Panagiotis G. Ipeirotis) WebDB 2008, Winter Conference on Business Intelligence 2008.