Innovation and Entrepreneurship
Future of Work
Bowen Lou is an Assistant Professor of Operations and Information Management at the School of Business in University of Connecticut. Professor Lou’s research primarily lies in economics of artificial intelligence (AI), innovation and entrepreneurship, and future of work. Broadly, he is extremely passionate about studying emerging technology-enabled phenomena in business and society (including but not limited to topics on AI, big data analytics, digital platform, FinTech, healthcare IT, and social media). He works on the new waves of digitization and technological innovation spanning a wide spectrum of industry sectors, by collaborating with leading analytics companies that track technology, labor and innovation trends. Linking macro patterns to micro activities, his studies leverage a variety of interdisciplinary methodologies (including but not limited to bio/chem-informatics, econometrics, game-theoretical modeling, randomized field experiments, machine learning and network analysis).
Recently his research projects primarily study economics and strategic implications of AI in the following areas:
1). Innovation development: How AI can improve innovation (e.g. patent, product innovation), or mitigate its slowdown in various settings (e.g., corporate R&D alliances, post-IPO innovation, CEO turnover)
2). Human decision-making: How AI can address cognitive limitations and biases in human decision-making processes
3). Labor market: How AI can shape contemporary labor markets and the future of work
He is also actively expanding his research into other topics related to emerging technology, innovation and entrepreneurship, including:
4). Investment behavior and strategy in Bitcoin exchange and mining markets
5). Multihoming activities of workers in the gig economy
6). IT-enabled strategy and intervention for business in the area of employer brand management and referral program development.
Professor Lou’s research work has been published or forthcoming in some premier academic journal and conference such as Management Science, Management Information Systems Quarterly and International Conference on Information Systems. His dissertation research on data analytics, AI and innovation was awarded the INFORMS Information Systems Society (ISS) Nunamaker-Chen Best Dissertation Award (Winner) and ACM SIGMIS Dissertation Award (Runner-up). He is also a recipient of Best IS paper in Management Science (Finalist), Best Paper Award (Finalist) at Workshop on Information Systems and Economics and Conference on Information Systems and Technology, and Best Student Paper Award (Runner-up) at Conference on Health IT and Analytics, as well as a number of honors and grants. He has co-organized the inaugural and second Wharton Innovation Doctoral Symposium (WINDS), the first multi-disciplinary doctoral conference focused on innovation. Professor Lou is a data scientist, technology advisor and public speaker, frequently delivering his studies and innovation strategies related to emerging technologies.
Prior to joining UConn, Professor Lou worked in technology and banking corporations including Intel and China Guangfa Bank. He was also a research programmer at Knowledge Lab of Computation Institute in Chicago, digging into an exciting field of computational social science. He received his Ph.D. in Operations, Information and Decisions (with a specific focus on information strategy & economics), and his M.A. in Statistics from University of Pennsylvania. He also holds a M.S. in Computer Science from University of Chicago, and a B.Eng in Information Security from Shanghai Jiao Tong University.
Professor Lou has been always looking forward to academic-industry collaborations and aiming to address interesting research problems with big impacts. Please contact at bowen.lou at uconn dot edu for academic-industry research collaboration, media inquiry, and speaking engagement.
• 2023/7: Paper on "Innovation Strategy after IPO: How AI Analytics Spurs Innovation after IPO" got accepted in Management Science
• 2023/5: Recipient of Mack Institute Research Fellowship and Analytics at Wharton Funding that support the study on artificial intelligence and CEO turnover for innovation
• 2023/3: Paper on "Unintended Consequences of Advances in Matching Technologies: Information Revelation and Strategic Participation on Gig-Economy Platforms" got accepted in Management Science
• 2022/12: Best paper in Workshop on Information Systems and Economics (Finalist)
• 2022/10: Best IS paper in Management Science (Finalist)
• 2022/8: Recipient of UConn Research Excellence Program Fund that supports the study on algorithmic management in gig economy
• 2021/12: Honored to receive ACM SIGMIS Doctoral Dissertation Award (Runner-up)
• 2021/10: Honored to receive INFORMS Information Systems Society (ISS) Nunamaker-Chen Best Dissertation Award (Winner)
• 2021/4: Paper on "AI on Drugs: Can Artificial Intelligence Accelerate Drug Development? Evidence from a Large-scale Examination of Bio-pharma Firms" got accepted in Management Information Systems Quarterly
• 2020/7: Dissertation on "Are Ideas Really Harder to Find? Essays on Analytics Driven and Artificial Intelligence Enabled Innovation" has been successfully defended
• 2020/6: Recipient of Mack Institute Research Fellowship that supports the study on investment in cryptocurrency market
• 2019/11: Best student paper (Runner-up) at Conference on Health IT and Analytics