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  • 2012
  • Article

Exploring Re-Identification Risks in Public Domains

By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle
While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two... View Details
Keywords: Safety; Analytics and Data Science; Social and Collaborative Networks
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  • 14 Jul 2023
  • Blog Post

Harvard Business School Announces Its 2023-2024 Blavatnik Fellows

synthetic biology and data science company that’s digitizing taste and smell. Morgan previously ran business development and fundraising at Trellis Bioscience, a clinical-stage Series C startup developing... View Details
  • 05 Dec 2013
  • Op-Ed

Encourage Breakthrough Health Care by Competing on Products Rather Than Patents

they should open target data and compete on solutions—compounds and molecules addressing the targets. I agree. If we're going to get the breakthrough products we want at a development cost we can afford, we have to figure out the best... View Details
Keywords: by Richard G. Hamermesh; Biotechnology; Health
  • Article

Fast Generalized Subset Scan for Anomalous Pattern Detection

By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
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  • October 2017 (Revised April 2018)
  • Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
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  • 2017
  • Chapter

Venture Capital Data: Opportunities and Challenges

By: Steven N. Kaplan and Josh Lerner
This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better. View Details
Keywords: Venture Capital; Analytics and Data Science; Research
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  • February 2006 (Revised March 2008)
  • Case

ChoicePoint (A)

By: Lynn S. Paine and Zack Phillips
The CEO of ChoicePoint, a leading company in the rapidly growing U.S. personal data industry, must reexamine the company's business model after a serious breach of data security affecting some 145,000 U.S. citizens. He must decide on steps to strengthen data protection... View Details
Keywords: Business Model; Safety; Rights; Analytics and Data Science; Ethics; Information Technology; Information Industry; United States
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  • February 1985 (Revised August 1985)
  • Supplement

Computervision-Japan (C)

Presents sales data for 1983 and 1984. View Details
Keywords: Analytics and Data Science; Sales
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  • 2022
  • White Paper

Census II of Free and Open Source Software - Application Libraries

By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou
Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data... View Details
Keywords: Open Source Software; Applications and Software; Cybersecurity; Open Source Distribution
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    Lauren H. Cohen

    Lauren Cohen is the L.E. Simmons Professor in the Finance & Entrepreneurial Management Units at Harvard Business School and a Research Associate at the National Bureau of Economic Research. He is an Editor of the Review of Financial... View Details

    Keywords: asset management; brokerage; financial services; federal government; investment banking industry; state government
    • March 2016 (Revised April 2019)
    • Technical Note

    ESG Metrics: Reshaping Capitalism?

    By: George Serafeim
    In the past twenty-five years, the world had seen an exponential growth in the number of companies reporting environmental, social and governance (ESG) data. Investor interest in ESG data also grew rapidly. A growing belief that increasing levels of social inequality... View Details
    Keywords: Capitalism; Sustainability; Accountability; Corporate Social Responsibility; Responsibilities To Society; Environment; Social Impact Investment; ESG; Corporate Social Responsibility and Impact; Environmental Sustainability; Measurement and Metrics; Integrated Corporate Reporting; Corporate Accountability; Accounting; Economic Systems
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    • 2025
    • Working Paper

    Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

    By: Ta-Wei Huang and Eva Ascarza
    As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
    Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
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    • 10 Apr 2007
    • First Look

    First Look: April 10, 2007

    conclude that stars add more value than they capture. I discuss implications for managers in the motion picture industry. Brokerage, Boundary Spanning, and Leadership in Open Innovation Communities Authors:Lee Fleming and David M. Waguespack Periodical:Organization... View Details
    Keywords: Martha Lagace
    • 2016
    • Working Paper

    Venture Capital Data: Opportunities and Challenges

    By: Steven N. Kaplan and Josh Lerner
    This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better. View Details
    Keywords: Venture Capital; Analytics and Data Science; Investment
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    • 19 Oct 2015
    • Research & Ideas

    Business Research that Makes for Smarter Public Policy

    originated. “We are using data from regulators, writing studies, but seldom going back to the regulators to say, ‘This is what we learned,’” says Harvard Business School Professor Michael W. Toffel, whose research examines companies’... View Details
    Keywords: by Michael Blanding
    • 2023
    • Article

    Evaluating Explainability for Graph Neural Networks

    By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
    As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
    Keywords: Analytics and Data Science
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    • 2020
    • Book

    Experimentation Works: The Surprising Power of Business Experiments

    By: Stefan Thomke
    Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details
    Keywords: Experimentation; Experiments; Market Research; Innovation and Invention; Innovation and Management; Customers; Research
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    • 2020
    • Working Paper

    Inventing the Endless Frontier: The Effects of the World War II Research Effort on Post-War Innovation

    By: Daniel P. Gross and Bhaven N. Sampat
    During World War II, the U.S. government launched an unprecedented effort to mobilize science for war: a newly-established Office of Scientific Research and Development (OSRD) entered thousands of R&D contracts with industrial and academic contractors, spending one to... View Details
    Keywords: World War II; Vannevar Bush; OSRD; Mission-oriented R＆D; Direction Of Innovation; Geography Of Innovation; Technology Clusters; U.S. Innovation System; Innovation and Invention; Research and Development; Problems and Challenges; War; History; Government Administration; United States
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    • 10 Mar 2022
    • HBS Seminar

    Adina Sterling, Stanford

    • 2020
    • Book

    The Power of Experiments: Decision-Making in a Data-Driven World

    By: Michael Luca and Max H. Bazerman
    Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details
    Keywords: Experiments; Randomized Controlled Trials; Organizations; Decision Making; Analytics and Data Science; Management Analysis, Tools, and Techniques
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