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  • All HBS Web  (7,630)
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    • News  (1,360)
    • Research  (5,026)
    • Events  (123)
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Show Results For

  • All HBS Web  (7,630)
    • People  (3)
    • News  (1,360)
    • Research  (5,026)
    • Events  (123)
    • Multimedia  (55)
  • Faculty Publications  (3,428)
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  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • August 2020 (Revised September 2020)
  • Technical Note

Assessing Prediction Accuracy of Machine Learning Models

By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
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Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
  • 28 Aug 2017
  • News

Email and Calendar Data Are Helping Firms Understand How Employees Work

  • 25 Apr 2012
  • News

Moonves' $69M Pay Shows How Boards Manipulate Data

  • 27 Jul 2017
  • News

The Revolution in Advertising: From Don Draper to Big Data

  • Article

Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute

By: Josh Lerner and Leslie Jeng
Private markets are becoming an increasingly important way of financing rapidly growing and mature firms, and private investors are reputed to have far-reaching economic impacts. These important markets, however, are uniquely difficult to study. This paper explores... View Details
Keywords: Analytics and Data Science; Research; Entrepreneurship; Private Sector
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Lerner, Josh, and Leslie Jeng. "Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 157–160.
  • Web

Data Tips & Toolkits - Research Computing Services

Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information: https://cran.r-project.org/web/packages/fastLink/index.html . Machine Learning R... View Details
  • October 2021
  • Article

Directors' Perceptions of Board Effectiveness and Internal Operations

By: J. Yo-Jud Cheng, Boris Groysberg, Paul M. Healy and Rajesh Vijayaraghavan
We contribute to the growing literature on the effectiveness of corporate boards by examining the effect of two insights that have been largely unexplored in prior studies that use public data. First, since boards’ responsibilities are wide-ranging, more holistic... View Details
Keywords: Boards Of Directors; Corporate Governance; Governing and Advisory Boards; Performance Effectiveness; Perception
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Cheng, J. Yo-Jud, Boris Groysberg, Paul M. Healy, and Rajesh Vijayaraghavan. "Directors' Perceptions of Board Effectiveness and Internal Operations." Management Science 67, no. 10 (October 2021): 6399–6420.
  • Fast Answer

Biotech and medical devices: Company Data and Analysis

Where can I find biotech and medical devices company financials and analysis? We suggest that you may use at least more than one of them for your company research. Capital IQ - Data on public and private... View Details
  • August 2005 (Revised April 2008)
  • Teaching Note

GuestFirst Hotel (A): Statistics Review with Data Desk (TN)

By: Frances X. Frei
Presents an overview of the statistical analysis covered in the case discussion. View Details
Keywords: Mathematical Methods
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Frei, Frances X. "GuestFirst Hotel (A): Statistics Review with Data Desk (TN)." Harvard Business School Teaching Note 606-038, August 2005. (Revised April 2008.)
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 2025
  • Working Paper

Turning Points in Inflation: A Structural Breaks Approach with Micro Data

By: Alberto Cavallo and Gastón García Zavaleta
We introduce a novel methodology for detecting inflation turning points that combines high-frequency, disaggregated price data with standard structural break techniques to provide policymakers with more precise and timely signals of inflation dynamics. The methodology... View Details
Keywords: Inflation and Deflation; Global Range; Economic Slowdown and Stagnation; Analysis; Price
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Cavallo, Alberto, and Gastón García Zavaleta. "Turning Points in Inflation: A Structural Breaks Approach with Micro Data." Working Paper, May 2025. (Preliminary draft.)
  • 2021
  • Article

Cluster Presence and Economic Performance: A New Look Based on European Data

By: Christian H.M. Ketels and Sergiy Protsiv
This paper takes a fresh empirical look at how cluster presence matters for economic performance. It analyses a new data set developed for the European Cluster Observatory to assess the impact of clusters on industry-level wages and regional prosperity. It is found... View Details
Keywords: Cluster; Economic Geography; Prosperity; Economic Performance; Wages; Economy; Europe
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Ketels, Christian H.M., and Sergiy Protsiv. "Cluster Presence and Economic Performance: A New Look Based on European Data." Regional Studies 55, no. 2 (2021): 208–220.
  • 02 Apr 2015
  • Research & Ideas

Digital Initiative Summit: Freeing Patient Data to Enable Innovation

Patients are not actually the customers in the United States health care system, a fact largely to blame for the dearth of communication and data sharing between providers, according to experts at a recent... View Details
Keywords: Re: Karim R. Lakhani; Health
  • 21 Jun 2018
  • Video

KPMA HBX Live Cracking the Data Aggregation Problem - Richard Hamermesh

  • 24 Feb 2011
  • News

Latest sales, price data point to weak, tentative recovery

  • October 18, 2021
  • Article

To Regulate Network-Based Platforms, Look at Their Data

By: Chiara Farronato and Daniel Björkegren
Historically, antitrust authorities have taken a laissez-faire approach under the assumption that it is better to err on the side of not intervening when there is uncertainty. This has allowed companies like Google and Facebook to go on a shopping spree to acquire... View Details
Keywords: Antitrust Issues And Policies; Risk and Uncertainty; Digital Platforms; Competitive Advantage; Governing Rules, Regulations, and Reforms; Innovation and Invention; Information Technology Industry
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Farronato, Chiara, and Daniel Björkegren. "To Regulate Network-Based Platforms, Look at Their Data." Harvard Business Review Digital Articles (October 18, 2021).
  • 2016
  • Working Paper

What Factors Drive Director Perceptions of Their Board's Effectiveness?

By: Boris Groysberg, Paul M. Healy and Richard Ellis Crum
We use a survey of directors to collect data on their ratings of board effectiveness as well as board internal dynamics and key processes. Controlling for many of the governance metrics examined by prior research, we find that directors’ ratings of their boards’... View Details
Keywords: Board Of Directors; Corporate Governance; Performance Effectiveness; Perception; Risk Management
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Groysberg, Boris, Paul M. Healy, and Richard Ellis Crum. "What Factors Drive Director Perceptions of Their Board's Effectiveness?" Working Paper, February 2016.
  • September 2021 (Revised December 2021)
  • Case

Spire, the CubeSat Revolution, and the Government as a Space Data Customer

By: Matthew Weinzierl, Mehak Sarang and Brendan L. Rosseau
This case outlines the rise of Spire Global, a young space company using CubeSats to provide weather data and weather prediction services. In addition to tracing the evolution of a space startup from novel idea to publicly-traded company, the case also examines the... View Details
Keywords: Space; Government Contracting; Remote Sensing; Satellites; Business Startups; Public Sector; Cost vs Benefits; Competition; Weather; Forecasting and Prediction
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Weinzierl, Matthew, Mehak Sarang, and Brendan L. Rosseau. "Spire, the CubeSat Revolution, and the Government as a Space Data Customer." Harvard Business School Case 722-013, September 2021. (Revised December 2021.)
  • Fast Answer

HBS Alumni Research Tips: Finding Market Data & Insights

How can alumni search for market data, trends, and insights? Statista is a user-friendly aggregator of statistical data from more than 20,000 sources worldwide. Follow instructions to register for a free... View Details
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