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  • 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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  • April 2023
  • Case

Fizzy Fusion: When Data-Driven Decision Making Failed

By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details
Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry
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  • May 2021
  • Article

The Firm Next Door: Using Satellite Images to Study Local Information Advantage

By: Jung Koo Kang, Lorien Stice-Lawrence and Forester Wong
We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level... View Details
Keywords: Satellite Images; Store-level Performance; Institutional Investors; Local Advantage; Overweighting; Processing Costs; Alternative Data; Big Data; Emerging Technologies; Information; Quality; Institutional Investing; Decision Making; Behavioral Finance; Analytics and Data Science
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    History's Guiding Light

    entrepreneurs and business leaders from across emerging markets, was a goldmine. It allowed me to explore questions on emerging market business issues from the eyes of those on the ground. CEM also provided me fruitful ground to experiment with View Details
    • 08 May 2019
    • News

    Fellowships Enable Students to Broaden Their Impact

    the data analytics team, he brought to the nonprofit his solid background in behavioral economics from Emory University and his financial acumen from his trading days. Agarwal’s goal was to use data and technology to help make the schools... View Details
    Keywords: Educational Support Services; Educational Services
    • August 23, 2018
    • Article

    Using a New EHR System to Increase Patient Engagement, Improve Efficiency, and Decrease Cost

    By: Katy French, Barbra Bryce Speer, Alexis B. Guzman, Tayab Andrabi, Iris Recinos, Keith A. Shook, James R. Incalcaterra, John C. Frenzel and Thomas W. Feeley
    Patients and providers are frustrated with seemingly endless data entry. We used our patients’ vested interest in their own health care by actively engaging them in the entry of their own medical information into the EHR. Prior to the implementation of the new EHR we... View Details
    Keywords: Health Care and Treatment; Analytics and Data Science; Performance Efficiency; Cost Management
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    • June 2021
    • Article

    Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative

    By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz
    We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission... View Details
    Keywords: Value-based Health Care; Health Care and Treatment; Analytics and Data Science; Outcome or Result; Measurement and Metrics; Performance Improvement
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    • 2019
    • Working Paper

    Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India

    By: Thomas Bossuroy, Clara Delavallade and Vincent Pons
    Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in... View Details
    Keywords: Biometric Technology; Health Care and Treatment; Technological Innovation; Analytics and Data Science; Quality; Performance Improvement; India
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      Rick Grinnell

      (acquired by Deloitte). As an experienced venture capitalist and operator, Rick has invested in some of the most dynamic companies in security, storage, analytics and SaaS applications during his 20+ years in the venture capital industry.... View Details
      Keywords: Venture Capital
      • 01 Jan 2010
      • News

      Susan L. Decker, MBA 1986

      Decker has put her analytical skills to work as a director of three major companies — Berkshire Hathaway, Intel, and Costco — and as a trustee of Save the Children. Her interest in entrepreneurship led her back to HBS, where she served as... View Details
      • 01 Sep 2016
      • News

      Research Brief: Cultivating Creativity through Competition

      given to their competitors. Using analytical software that evaluates visual similarities between designs, Gross compared each submission with prior entries by the same designer, and related the similarity to the number and quality of... View Details
      Keywords: Erin Peterson
      • Web

      Research & Data Services for HBS Faculty & Doctoral Students | Baker Library

      researchers, librarians and data specialists providing information, data, analytical and visualization solutions for HBS faculty, research associates, and doctoral students. We support research projects and publications using Baker... View Details
      • 2023
      • Chapter

      Inflation and Misallocation in New Keynesian Models

      By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
      The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
      Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost
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      • 2017
      • Working Paper

      The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond

      By: Josh Lerner
      Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details
      Keywords: Patents; Analytics and Data Science; Corporate Finance; Research; Problems and Challenges
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      • 2022
      • Working Paper

      Small Campaign Donors

      By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
      In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
      Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science
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      • Article

      Uninformed Consent

      By: Leslie K. John
      Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy? View Details
      Keywords: Personal Data; Privacy; Customers; Analytics and Data Science; Ethics; Governing Rules, Regulations, and Reforms
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      • winter 2003
      • Article

      Massively Categorical Variables: Revealing the Information in Zip Codes

      We introduce the idea of a massively categorical variable, a variable such as zip code that takes on too many values to be treated in the standard manner, and show how to use it directly as explanatory variables in an econometric model. In an application of this... View Details
      Keywords: Strategy; Analytics and Data Science; Behavior; Marketing; Standards; Finance
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      • Profile

      Vivek Garg

      development, their pricing, and how they might fit under government coverage," Vivek says. After graduation, Vivek hopes to apply similar analytical approaches to clinical care. "Whether it's in a hospital or physician group... View Details
      • Web

      Real Estate Investing - Course Catalog

      is a multidisciplinary industry that requires strong analytical rigor as wells as broad strategic thinking. Educational Objectives Students will learn about the interplay of capital structures, building characteristics, stakeholders, and... View Details
      • 26 Feb 2018
      • News

      Teaching Farmers New Tricks of the Trade

      Erik Malmstrom (MBA 2012) is general manager of crop marketing for the Farmers Business Network in California. In this video, he describes how the organization is helping transform the agriculture space using data analytics and sharing... View Details