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Show Results For
- All HBS Web
(470)
- News (97)
- Research (306)
- Events (1)
- Multimedia (7)
- Faculty Publications (235)
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
- 18 Apr 2012
- Research & Ideas
HBS Cases: Who Controls Water?
Business Administration at Harvard Business School. Reinhardt led a discussion of the case recently in the MBA field study seminar Innovation in Business, Energy, and Environment, held in Harvard's Innovation Lab. The case was prepared... View Details
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- 08 May 2019
- Working Paper Summaries
Bank Boards: What Has Changed Since the Financial Crisis?
- 03 Nov 2008
- HBS Case
Economics of the Ethanol Business
What happens when a group of Missouri corn farmers gets into the energy business? With consumers paying more than double for gasoline than they did a year ago, turning crops into fuel, not food, seems like a good way to go—but not so fast. In "Mid-Missouri... View Details
- 18 Aug 2017
- News
How the U.S. Navy is Responding to Climate Change
- Awards
Apgar Award for Innovation in Teaching
Received the 2009 Apgar Award for Innovation in Teaching at HBS for work on the Elective Curriculum course, “Building Green Businesses,” with Forest Reinhardt and Lee Fleming. View Details
- 15 Jul 2002
- Research & Ideas
Going Green Makes Good Business Sense
and strategy with an emphasis on environmental management, Reinhardt recently shared his expertise with HBS alumni during reunion weekend. His talk, titled "Down to Earth: Applying Basic Business Principles to Environmental... View Details
Keywords: by Martha Lagace
- 22 Mar 2017
- News
Stemming the Tide of the World's Water Shortage
- 11 Jun 2007
- Lessons from the Classroom
Teaching the Next Generation of Energy Executives
You may think that being an energy executive—especially a manager in a leading oil company—might be the easiest job around. Just flip the production switch, and watch gas prices head toward $4 a gallon. But students enrolled in Harvard Business School professor Forest... View Details
- Research Summary
Environmental Management
Forest L. Reinhardt is exploring the strategic and operational problems of firms in environmentally significant industries. His book, Down to Earth: Applying Business Principles to Environmental Management (published in 2000 by Harvard Business School Press),... View Details
- October 2007
- Article
Grist: A Strategic Approach to Climate
By: Michael E. Porter and Forest Reinhardt
Climate change will affect everything businesses do, as government efforts to mitigate carbon emissions cause their prices to rise steeply. This special edition of Forethought takes a hard-nosed look at the risks and opportunities of climate change. Michael E. Porter... View Details
Keywords: Customer Value and Value Chain; Governing Rules, Regulations, and Reforms; Leadership; Logistics; Corporate Social Responsibility and Impact; Performance Improvement; Climate Change; Competitive Advantage; Corporate Strategy
Porter, Michael E., and Forest Reinhardt. "Grist: A Strategic Approach to Climate." Forethought. Harvard Business Review 85, no. 10 (October 2007): 22–26.
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- Research Summary
Energy Strategy
Forest L. Reinhardt is writing cases and other materials on the strategic problems and opportunitites faced by firms in the energy industry. Significant economies of scale and scope, combined with rapid technological change, present firms in the industry with a... View Details
- 17 May 2016
- Video