Events

Karim Lakhani and Jackie Lane are hosting a new seminar series at Digital Data Design Institute at Harvard (D^3)’s LISH, spotlighting how Artificial Intelligence and Digital Technologies are transforming business and society. This is the third seminar in this series Speaker: Amir SaririAssistant professor of strategic management at Purdue University, Visiting Scholar at MIT Sloan […]

Karim Lakhani and Jackie Lane are hosting a new seminar series at Digital Data Design Institute at Harvard (D^3)’s LISH, spotlighting how Artificial Intelligence and Digital Technologies are transforming business and society. This is the second seminar in this series Speaker: Nataliya KosmynaResearch Scientist | MIT Media Lab Date and Time: November 18, 2025 | […]

Karim Lakhani and Jackie Lane are hosting a new seminar series at Digital Data Design Institute at Harvard (D^3)’s LISH, spotlighting how Artificial Intelligence and Digital Technologies are transforming business and society. This is the first seminar in this series Speaker: Sendhil MullainathanProfessor, Dual Appointment in Economics and EECS, Research Affiliate, Stone Center on Inequality […]

Firm Productivity and Learning in the Digital Economy: Evidence from Cloud Computing Date: December 4, 2024Presenter: Mert Demirer, MIT Sloan School of Management Abstract:Computing technologies have become critical inputs to production in the modern firm. However, there is little large-scale evidence on how efficiently firms use these technologies. In this paper, we study firm productivity […]

We study how home sellers and buyers interact with Zillow's Zestimate algorithm throughout the sales cycle of residential properties, with an emphasis on the implications of such interactions. In particular, leveraging Zestimate's algorithm updates as exogenous shocks, we find evidence for a human-algorithm feedback loop: listing and selling outcomes respond significantly to Zestimate, and Zestimate is quickly updated for the focal and comparable homes after a property is listed or sold. This raises a concern that housing market disturbances may propagate and persist because of the feedback loop. However, simulation suggests that disturbances are short-lived and diminish eventually, mainly because all marginal effects across stages of the selling process---though sizable and significant---are less than one.

Join Harvard Business School professors and Principal Investigators of the Data Science and AI Operations lab, Iavor Bojinov and Edward McFowland III, as they engage in an enlightening conversation with the international bestselling author QuHarrison Terry on the exciting topic of operationalizing generative AI. Whether you are a business leader, a tech professional, or simply an AI enthusiast, this event will offer you valuable perspectives and actionable insights on making AI a transformative tool in order to drive your organization forward and toward a smarter, more efficient future.

Join us as we discuss the latest report out of the Digital Value Lab led by Professor Suraj Srinivasan, one of the leading research labs at the Digital Data Design Institute at Harvard Business School. Conducted in partnership with Capgemini, this report unveils the rise of the eco-digital economy. In this collaborative study, we surveyed 1500 executives to discover how the expansion of cutting-edge technology, innovative breakthroughs, and sustainability investments are driving this growth.

Information about the number of applicants to a job vacancy might simultaneously signal the degree of competition and vacancy quality. We study how this information affects job search. To do so, we conduct three experiments on a large online job platform in which the treatment varies what information is shown to job seekers. Information about the number of prior applicants to a vacancy increases the number of applications and redirects them to vacancies with few prior applications. Information about vacancy age increases application rates, especially to new vacancies.

n this paper, using a novel data set of resumes from approximately 16 million individuals from the United States, we study the career implications of automation and robotization. We calculate the lifetime career value of various occupations, combining (1) the likelihood of future transitions to other occupations, and (2) earning potential of these occupations. We document a downward trend in the growth of career values in the U.S. between 2000 and 2016. We find that while wage growth is slower, the decline in the average career value growth is mainly due to reduced upward occupational mobility. Automation and robotization are factors contributing to the decline of average local labor market career values. In commuting zones that have been more exposed to automation, the average career value has declined further between 2000 and 2016.

This paper evaluates caps on the commissions that food delivery platforms charge to restaurants. Commission caps may lead restaurants to join platforms and to post lower prices on platforms, thereby benefitting consumers. But caps may also lead platforms to raise their consumer fees, thereby reducing ordering on platforms and consequently platforms’ value to restaurants. The net welfare effects of caps are thus uncertain. To quantify these effects, I estimate a model of pricing and platform adoption in a multi-sided market using data on consumer restaurant orders, restaurants’ platform adoption, and platform fees. Counterfactual simulations imply that commission caps bolster restaurant profits at the expense of consumers and platforms.

In this talk, we explore the Keyword Recommender System (KRS) and consider its impact on sales volumes and market concentration. Unlike traditional, item-level recommenders, KRSs facilitate search query formation with potentially positive or negative consequences for search costs, resultant product fit, transaction volumes, and consumption diversity. We explore these effects via a randomized field experiment conducted with one of the largest mobile food-delivery platforms in Asia. The results of this experiment show that providing consumers with access to a KRS leads to a 1.2% rise in purchases over a 30-day period. Furthermore, access to a KRS leads to increased sales diversity, at both the individual and market levels.

Join us for an enlightening session that delves into the transformative realm of data analytics in education. This talk uncovers the profound impact of data-driven insights on the performance of educational organizations. Key Highlights: · Strategic Insights through Data: Discover the process of collating, analyzing, and interpreting data to craft comprehensive strategies. Explore how this process empowers individuals and teams, amplifying their performance and effectiveness. · Empowering Educators: Uncover the potential of data analytics in optimizing teacher impact within the classroom. · Business Transformation: Delve into the business applications of data analytics within the education sector. Explore how these insights can revolutionize customer experience and facilitate the creation of personalized marketing content. Witness the potential to elevate outreach capabilities and overall business performance.