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  • All HBS Web  (8,728)
    • People  (64)
    • News  (2,530)
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    • Events  (28)
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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
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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.
  • December 2023
  • Article

Self-Orienting in Human and Machine Learning

By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
Keywords: AI and Machine Learning; Behavior; Learning
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De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
  • July 2004 (Revised May 2009)
  • Case

Getting Participant-centered Learning to Work

By: Thomas R. Piper, James L. Heskett and Gustavo Herrero
The newly appointed dean of a South American business school is eager to transform the learning process from the traditional lecture method to one that actively engages students and contributes to the development of critical managerial skills, attitudes, and world... View Details
Keywords: Change Management; Transformation; Business Education; Leading Change; Business Processes; Organizational Change and Adaptation; Alliances; Education Industry; South America
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Piper, Thomas R., James L. Heskett, and Gustavo Herrero. "Getting Participant-centered Learning to Work." Harvard Business School Case 805-007, July 2004. (Revised May 2009.)
  • June, 2021
  • Article

Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19

By: Edward L. Glaeser, Ginger Zhe Jin, Benjamin T. Leyden and Michael Luca
During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant... View Details
Keywords: COVID-19; Lockdown; Reopening; Impact; Coronavirus; Public Health Measures; Mobility; Health Pandemics; Governing Rules, Regulations, and Reforms; Consumer Behavior
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Glaeser, Edward L., Ginger Zhe Jin, Benjamin T. Leyden, and Michael Luca. "Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19." Journal of Regional Science 61, no. 4 (June, 2021): 696–709.
  • 04 Jan 2011
  • Working Paper Summaries

The Learning Effects of Monitoring

Keywords: by Dennis Campbell, Marc Epstein & Francisco de Asis Martinez-Jerez; Entertainment & Recreation
  • September 1991 (Revised December 1991)
  • Case

G. Heileman Brewing Co. (A): Power Failure At PowerMaster

By: Stephen A. Greyser
In June 1991, Heileman announced plans to introduce a high-alcohol malt liquor under the name PowerMaster (PM). Although the company claimed PM would be positioned as an upscale product and marketed on the basis of its superior taste, minority advocates and alcohol... View Details
Keywords: Advertising Campaigns; Ethics; Lawfulness; Brands and Branding; Product Positioning; Demand and Consumers; Market Entry and Exit; Food and Beverage Industry
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Greyser, Stephen A. "G. Heileman Brewing Co. (A): Power Failure At PowerMaster." Harvard Business School Case 592-017, September 1991. (Revised December 1991.)
  • Blog

When Generations Learn Together

Venture Capital, and we had a great experience. We reviewed cases and learned from our assigned teams, but also talked between and after classes to share ideas with each other. I thought the material might... View Details
  • 08 Dec 2006
  • Working Paper Summaries

When Learning and Performance are at Odds: Confronting the Tension

Keywords: by Sara J. Singer & Amy C. Edmondson
  • 2005
  • Chapter

Learning from Women Who Make It Work: A Call for Dynamic Flexibility

By: Spela Trefalt and Leslie Perlow
Keywords: Gender
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Trefalt, Spela, and Leslie Perlow. "Learning from Women Who Make It Work: A Call for Dynamic Flexibility." In Qualitative Organizational Research: Best Papers from the Davis Conference on Qualitative Research, edited by K. Elsbach, 227–251. Greenwich, CT: Information Age Publishing (IAP), 2005.
  • March 2015
  • Case

Pearson Affordable Learning Fund

By: Michael Chu, Vincent Dessain and Kristina Maslauskaite
An in-house venture capital fund for affordable private schools at the base of the pyramid established by Pearson, the world's largest education company, PALF sought to invest in business models providing superior educational outcomes in emerging markets on a... View Details
Keywords: Impact Investment; Low Cost Private Schools; Investment Fund; Business At The Base Of The Pyramid; Transition; Investment; Development Economics; Business Growth and Maturation; Social Entrepreneurship; Emerging Markets; Private Sector; Education; Education Industry; Asia; Africa
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Chu, Michael, Vincent Dessain, and Kristina Maslauskaite. "Pearson Affordable Learning Fund." Harvard Business School Case 315-109, March 2015.
  • 26 Apr 2018
  • Video

2018 G&WS: Laura Morgan Roberts Presents “Sankofa: Learning about and from Black experiences of Leadership, Race and Work”

  • 22 Feb 2022
  • News

Vision: Learning Curve

through 20,000 WhatsApp groups at a cost of approximately 10 cents per child, per year. The company has raised $1 million from institutions, including Harvard, MIT, and the World Economic Forum; venture funds such as Sequoia and Accel;... View Details
Keywords: Alexander Gelfand; education; entrepreneurship; startup; India; Educational Services
  • September 2022
  • Article

Experimentation and Start-up Performance: Evidence from A/B Testing

By: Rembrand Koning, Sharique Hasan and Aaron Chatterji
Recent scholarship has argued that experimentation should be the organizing principle for entrepreneurial strategy. Experimentation leads to organizational learning, which drives improvements in firm performance. We investigate this proposition by exploiting the... View Details
Keywords: Experimentation; A/B Testing; Data-driven Decision-making; Organizational Learning; Entrepreneurship; Strategy; Business Startups; Learning; Performance; Decision Making
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Koning, Rembrand, Sharique Hasan, and Aaron Chatterji. "Experimentation and Start-up Performance: Evidence from A/B Testing." Management Science 68, no. 9 (September 2022): 6434–6453.
  • 2008
  • Chapter

Learning in Environmental Policymaking and Implementation

By: Alnoor Ebrahim
This paper explores how "learning" occurs in the context of environmental policy formulation and implementation. Rather than viewing policy learning as a rational and technocratic process, the emphasis here is on the political and institutional contexts within which... View Details
Keywords: Learning; Corporate Accountability; Policy; Government and Politics; Business and Stakeholder Relations; Natural Environment; Power and Influence; South Africa; Brazil
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Ebrahim, Alnoor. "Learning in Environmental Policymaking and Implementation." In Strategic Environmental Assessment for Policies: An Instrument for Good Governance, edited by Kulsum Ahmed and Ernesto Sanchez-Triana. Washington, D.C.: World Bank, 2008. (Was HBS Working Paper 08-071.)
  • 08 Oct 2018
  • Working Paper Summaries

Developing Theory Using Machine Learning Methods

Keywords: by Prithwiraj Choudhury, Ryan Allen, and Michael G. Endres
  • October 2023
  • Article

Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States
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Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 30–67. (Profiled in the Regulatory Review.)
  • 01 Apr 1998
  • News

World Class Learning

network offers help on a range of issues, Walker says, from something as simple as how to buy groceries to something as serious as the emotional stresses of displacement and change in family life. "We also meet often with international... View Details
Keywords: Eileen K. McCluskey
  • 10 Nov 2020
  • News

Learning to Fight

development of brain cancer technology. Sontag thinks big. “If this model works for brain cancer, this model can work for other serious diseases,” he says of the Sontag Foundation’s multipronged approach. He envisions opening the doors of the foundation to other... View Details
Keywords: April White
  • 25 Apr 2016
  • News

Learn to Love Networking

  • August 2018 (Revised April 2019)
  • Case

Chateau Winery (A): Unsupervised Learning

By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
Keywords: Clustering; Data Science; Analytics and Data Science; Customers; Marketing; Analysis
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Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
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