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  • All HBS Web  (1,717)
    • People  (9)
    • News  (315)
    • Research  (1,055)
    • Events  (15)
    • Multimedia  (10)
  • Faculty Publications  (864)
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  • March 2022 (Revised January 2025)
  • Technical Note

Prediction & Machine Learning

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
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Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
  • Other Article

How to Make Remote Monitoring Tech Part of Everyday Health Care

By: Samantha F. Sanders, Ariel Dora Stern and William J. Gordon
Remote patient monitoring is a subset of telehealth that involves the collection, transmission, evaluation, and communication of patient health data from electronic devices. These devices include wearable sensors, implanted equipment, and handheld instruments. During... View Details
Keywords: Health Care and Treatment; Information Technology; Analytics and Data Science; Technology Adoption
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Sanders, Samantha F., Ariel Dora Stern, and William J. Gordon. "How to Make Remote Monitoring Tech Part of Everyday Health Care." Harvard Business Review (website) (July 2, 2020).
  • April 1996 (Revised June 1996)
  • Background Note

Cleveland Turnaround (C), The: Facts and Figures

By: James E. Austin and Jaan Elias
Traces the Cleveland community's efforts to move the city from economic, social, and political crisis in the late 1970s into revitalization and progress in the 1980s and 1990s. Special attention is given to the role of business leaders and the public-private... View Details
Keywords: Leading Change; Analytics and Data Science; Economic Growth; Business and Community Relations; Cleveland
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Austin, James E., and Jaan Elias. "Cleveland Turnaround (C), The: Facts and Figures." Harvard Business School Background Note 796-153, April 1996. (Revised June 1996.)
  • 2025
  • Article

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science
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Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
  • January 2021
  • Article

Using Models to Persuade

By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
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Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
  • 30 May 2017
  • First Look

First Look at New Research and Ideas, May 30

These findings challenge previous recommendations for optimal advice-seeking behavior. Harvard Business School Case 617-059 Flashion: Art vs. Science in Fashion Retailing Kate Wilson, retail analytics manager at Flashion, a fashion... View Details
Keywords: Sean Silverthorne
  • 15 Jul 2014
  • First Look

First Look: July 15

  Publications August 2013 Strategic Entrepreneurship Journal Business Model Evaluation: Quantifying Walmart's Sources of Advantage By: Brea-Solís, Humberto, Ramon Casadesus-Masanell, and Emili Grifell-Tatjé Abstract—We develop an View Details
Keywords: Carmen Nobel
  • 11 Jun 2020
  • Blog Post

Know Your Audience - Recruiting HBS Students for Venture Capital

backgrounds including banking, private equity, and technology. The diversity of backgrounds is another benefit to firms as they look to fill different roles. Students with strong analytical and valuation skills will be an ideal fit for... View Details
Keywords: Venture Capital / Private Equity
  • April 2025
  • Article

Skill Dependencies Uncover Nested Human Capital

By: Moh Hosseinioun, Frank Neffke, Letian Zhang and Hyejin Youn
Modern economies require increasingly diverse and specialized skills, many of which depend on the acquisition of other skills first. Here we analyse US survey data to reveal a nested structure within skill portfolios, where the direction of dependency is inferred... View Details
Keywords: Competency and Skills; Human Capital; Personal Development and Career; Equality and Inequality; Analytics and Data Science
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Hosseinioun, Moh, Frank Neffke, Letian Zhang, and Hyejin Youn. "Skill Dependencies Uncover Nested Human Capital." Nature Human Behaviour 9, no. 4 (April 2025): 673–687.
  • January 1995 (Revised November 1996)
  • Case

Avalon Information Services, Inc.

By: Lynn S. Paine and Wilda White
The Privacy Review Committee of Avalon Information Services must decide how to deal with concerns voiced by its retail supermarket customers about the privacy of consumer data collected through Avalon's point-of-sale data collection program. One customer is proposing... View Details
Keywords: Mission and Purpose; Safety; Demand and Consumers; Rights; Analytics and Data Science; Information Technology; Ethics; Information Industry
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Paine, Lynn S., and Wilda White. "Avalon Information Services, Inc." Harvard Business School Case 395-036, January 1995. (Revised November 1996.)
  • 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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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • 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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Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "Fizzy Fusion: When Data-Driven Decision Making Failed." Harvard Business School Case 623-071, April 2023.
  • 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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Kang, Jung Koo, Lorien Stice-Lawrence, and Forester Wong. "The Firm Next Door: Using Satellite Images to Study Local Information Advantage." Journal of Accounting Research 59, no. 2 (May 2021): 713–750.
  • Fast Answer

REITs (real estate investment trusts)

next screen at Click Here choose Global Category and in the Value cell choose Real Estate Sector Equity. Enter other criteria if desired and run the search. Real Capital Analytics (RCA) Select Investors Select Capital Tracker from the... View Details
  • Career Coach

Mark Hardie

Center at Framingham State University. Prior to the Innovation Center, Mark was a consultant/COO at Kaymbu Inc., a Boston-based edTech startup. He directed Vermont-based 800Response Inc.’s product development for a SaaS speech analytics... View Details
Keywords: Entrepreneurship; Private Equity; Financial Services (All); Venture Capital; Financial Services (All); Health Care; Telecommunications
  • 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
  • Profile

Malcolm Little

"New York is unlike any place I’ve ever been – the pace of life is incredibly different. The idea of being home for dinner just isn’t real. But I built a rich base of analytical skills." At Bear, Stearns, Malcolm witnessed... View Details
  • Profile

Kelly Carson

training. HBS, Kelly believed, would advance her leadership potential. Her career at the school began with the summer Analytics program. "It's fantastic — it puts everyone on an equal level," Kelly says. More importantly, it... View Details
  • 01 Dec 2018
  • News

A Force for Good

MBA students, the program provides up to 20 fellows a year with the opportunity to work in nonprofit or public sector positions, giving those organizations access to an MBA’s managerial and analytical skills to build capacity. Return to... View Details
  • August 2001
  • Article

Technology as a Complex Adaptive System: Evidence from Patent Data

Keywords: Information Technology; System; Patents; Analytics and Data Science
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Fleming, L., and O. Sorenson. "Technology as a Complex Adaptive System: Evidence from Patent Data." Research Policy 30, no. 7 (August 2001).
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