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Show Results For
- All HBS Web
(1,543)
- People (1)
- News (274)
- Research (936)
- Events (19)
- Multimedia (6)
- Faculty Publications (771)
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- August 2024
- Background Note
Mitigating Climate Change with Machine Learning
By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details
Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention
Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.
- February 1987 (Revised July 1988)
- Background Note
Machine Tool Industry and Industrial Policy--1955-82
By: George C. Lodge and David J. Collis
Lodge, George C., and David J. Collis. "Machine Tool Industry and Industrial Policy--1955-82." Harvard Business School Background Note 387-145, February 1987. (Revised July 1988.)
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- May 1977 (Revised October 1989)
- Case
International Business Machines (F): Contracting for the Development and Manufacture of a New Machine
Corey, E. Raymond, and Roger Bennett. "International Business Machines (F): Contracting for the Development and Manufacture of a New Machine." Harvard Business School Case 577-159, May 1977. (Revised October 1989.)
- April 2025
- Background Note
Climate Change Adaptation with Artificial Intelligence and Machine Learning
By: Michael W. Toffel and Nabig Chaudhry
Artificial Intelligence (AI) and machine learning (ML) have emerged as powerful tools to address climate change. This note summarizes a wide range of the uses of AI/ML to drive climate change adaptation and resilience, the measures organizations and governments are... View Details
- 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
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- Research Summary
Making Machine Learning Models Interpretable
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
- December 2010 (Revised March 2015)
- Case
The Wright Brothers and Their Flying Machines
By: Tom Nicholas and David Chen
Wilbur (1867-1912) and Orville (1871-1948) Wright were fascinated by the mystery of flight and they built on the ideas of prominent earlier figures such as Octave Chanute (1832-1910) the French-born American who was influential in fostering the free exchange of ideas... View Details
Keywords: Entrepreneurship; Business History; Technological Innovation; Patents; Knowledge Sharing; Air Transportation; Air Transportation Industry; Europe; United States
Nicholas, Tom, and David Chen. "The Wright Brothers and Their Flying Machines." Harvard Business School Case 811-034, December 2010. (Revised March 2015.)
- 1999
- Working Paper
Machines and Mindlessness: Social Responses to Computers
By: Clifford Nass and Youngme Moon
- November 1973
- Article
Men and Machines in Indonesia's Light Manufacturing Industry
By: Louis T Wells Jr
Wells, Louis T., Jr. "Men and Machines in Indonesia's Light Manufacturing Industry." Bulletin of Indonesian Economic Studies 9, no. 3 (November 1973).
- February 26, 2024
- Article
Making Workplaces Safer Through Machine Learning
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details
Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
- August 2024
- Case
The Political Money Machine and Senator Cruz
By: Robert F. White and Jimena Marquez
This caselet explores campaign finance rules in U.S. elections, as illustrated through a fundraising memo for Senator Ted Cruz. View Details
Keywords: Political Elections; Governing Rules, Regulations, and Reforms; Communication; Public Administration Industry; United States
White, Robert F., and Jimena Marquez. "The Political Money Machine and Senator Cruz." Harvard Business School Case 825-055, August 2024.
- June 1983
- Teaching Note
Note on the Paper Machinery Industry, Teaching Note
Teaching Note for (9-383-185). View Details
Keywords: Pulp and Paper Industry
- Research Summary
Making Machine Learning Robust to Adversarial Attacks
The goal of this research is to ensure that machine learning models that we build and deploy are not easily susceptible to attacks by adversarial or malicious entities. View Details
- November 2023 (Revised June 2024)
- Case
Zest AI: Machine Learning and Credit Access
By: David S. Scharfstein and Ryan Gilland
Scharfstein, David S., and Ryan Gilland. "Zest AI: Machine Learning and Credit Access." Harvard Business School Case 224-033, November 2023. (Revised June 2024.)
- March 1988
- Background Note
Machine Tool Industry and Industrial Policy--1955-82 (Condensed)
By: Norman A. Berg
Berg, Norman A. "Machine Tool Industry and Industrial Policy--1955-82 (Condensed)." Harvard Business School Background Note 388-117, March 1988.
- July 1988
- Supplement
LTV Aerospace and Defense: Flexible Machining Cell, Video
By: David A. Garvin
Garvin, David A. "LTV Aerospace and Defense: Flexible Machining Cell, Video." Harvard Business School Video Supplement 889-501, July 1988.