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    Jeremy Yang

    Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for... View Details
    Keywords: advertising; media; entertainment; information; consumer products
    • 2023
    • Other Article

    The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

    By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
    Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
    Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
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      Jenny Wang

      Jenny Shan Wang is a doctoral student in the Technology and Operations Management program at Harvard Business School (HBS). She is broadly interested in interpretable machine learning (ML), identity and inequality, and improving existing methods... View Details
      • 11 Apr 2023
      • Research & Ideas

      Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide

      industry lines as companies increasingly bring seemingly unrelated business lines together in unconventional ways. New research by Awada, Harvard Business School Professor Suraj Srinivasan, and doctoral student Paul J. Hamilton harnesses... View Details
      Keywords: by Danielle Kost; Consumer Products; Real Estate; Financial Services; Retail
      • Research Summary

      Overview

      By: Isamar Troncoso
      Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to... View Details

        Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

        Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details
        • 26 Jul 2022
        • Research & Ideas

        Burgers with Bugs? What Happens When Restaurants Ignore Online Reviews

        reviews helps consumers choose cleaner restaurants, which is a pretty robust finding." Harvard Business School Assistant Professor Chiara Farronato and Georgios Zervas, an associate professor at Boston University, used View Details
        Keywords: by Kara Baskin; Entertainment & Recreation; Food & Beverage; Retail
        • 26 Feb 2019
        • First Look

        New Research and Ideas, February 26, 2019

        https://www.hbs.edu/faculty/Pages/item.aspx?num=55668 2019 Proceedings of the Hawaii International Conference on System Sciences Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise... View Details
        Keywords: Dina Gerdeman
        • 06 Jun 2017
        • First Look

        First Look at New Research and Ideas: June 6, 2017

        services firm, comprising over 1,000 applications and over 3,000 dependencies between them. Our methods allow us to disentangle the effects of different types and levels of... View Details
        Keywords: Sean Silverthorne
        • Article

        Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology

        By: Palak Kundu, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
        Background
        Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that... View Details
        Keywords: Psychological Safety; Near-miss Reporting; Health Care and Treatment; Safety
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        • 29 May 2018
        • First Look

        New Research and Ideas, May 29, 2018

        incorporate these advancements to improve the way the functions work, how to incorporate machine learning and artificial intelligence that de facto improve productivity View Details
        Keywords: Dina Gerdeman
        • 26 Feb 2001
        • Research & Ideas

        David, Goliath, and Disruption

        of HelloBrain.com Intelligent, handheld devices that hold basic information such as personal calendars and statistics have been around for some time, Schreck reminded the group. The great innovation of the... View Details
        Keywords: by Martha Lagace
        • 09 Oct 2018
        • First Look

        New Research and Ideas, October 9, 2018

        press Compensation & Benefits Review Winning the War for Talent: Modern Motivational Methods for Attracting and Retaining Employees By: Thibault-Landry, Anais, Allan Schweyer, View Details
        Keywords: Dina Gerdeman
        • 30 Oct 2018
        • First Look

        New Research and Ideas, October 30, 2018

        Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ... View Details
        Keywords: Dina Gerdeman
        • 19 Oct 2021
        • HBS Seminar

        Cynthia Rudin, Duke University

        • 16 Oct 2019
        • Research & Ideas

        Read Our Most Popular Stories of the Quarter

        great customer service is no longer the responsibility of just one department. Creating the customer-centric organization. (12,182 visits) What Machine Learning Teaches Us about CEO Leadership Style... View Details
        Keywords: by Sean Silverthorne

          Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

          Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details
          • 2020
          • Working Paper

          Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

          By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
          We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
          Keywords: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States
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            Zhongming Jiang

            Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details

            • 2023
            • Working Paper

            Feature Importance Disparities for Data Bias Investigations

            By: Peter W. Chang, Leor Fishman and Seth Neel
            It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
            Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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