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Show Results For
- All HBS Web
(11,916)
- People (75)
- News (2,932)
- Research (3,693)
- Events (32)
- Multimedia (334)
- Faculty Publications (2,358)
- 02 Aug 2018
- News
Learning From Henry Kissinger
- October 2001
- Article
Speeding Up Team Learning
By: Amy C. Edmondson, Richard Bohmer and Gary P. Pisano
Keywords: Learning
Edmondson, Amy C., Richard Bohmer, and Gary P. Pisano. "Speeding Up Team Learning." Harvard Business Review 79, no. 9 (October 2001): 125–134.
- Article
Selective Attention and Learning
Schwartzstein, Joshua. "Selective Attention and Learning." Journal of the European Economic Association 12, no. 6 (December 2014): 1423–1452. (Online Appendix.)
- Jul 29 2015
- Testimonial
A Rich Learning Experience
- 01 Dec 2011
- News
Up the Learning Curve
- Article
Active World Model Learning with Progress Curiosity
By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- 12 PM – 1 PM EDT, 06 Apr 2016
- Webinars: Career
Pitching to Venture Capitalists? Learn from an Expert
Are you pitching--or getting ready to pitch--a new business idea? Sounds easy, but it is complicated and tricky. Join Ray Rothrock (MBA 1988), Partner Emeritus at Venrock, as he shares lessons from his more than 25 years of experience in the venture capital business... View Details
- 08 Sep 2016
- Blog Post
4 Unexpected Things I Learned at HBS
day-out with the extraordinary people who have surrounded me for the last two years. As I ready for my move to Chicago for my next adventure, I wanted to share a few things that I’ve View Details
- 01 Oct 2000
- News
Silent Killers: Overcoming Barriers to Organizational Learning
group of the unit's most highly respected employees to interview colleagues and internal and external customers. They then report to their leaders what they have learned about... View Details
Keywords: Judith A. Ross
- 16 Jan 2014
- News
Learning from Helping Others
she left the company to return to acting. "Being a voice actor turned out to be a great option for me," she says. "I was able to use a lot of... View Details
- 1 Apr 1992
- Conference Presentation
Motivation, Creativity, and Learning
By: R. Conti, Teresa M. Amabile and S. Pollack
- 01 Sep 2011
- News
You’re Never Done Learning
The popular Career Webinar series returns this fall with a full slate of targeted, practical sessions presented by Alumni Career & Professional Development. Hoping to increase your personal engagement at work? Looking View Details
- 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).
- 19 Feb 2021
- News
Lessons Learned from Research
- Apr 25 2012
- Testimonial
OPM: Learning That Transforms
- January 2014
- Technical Note
Learning From Extreme Consumers
By: Jill Avery and Michael Norton
Traditional market research methods focus on understanding the average experiences of average consumers. This focus leads to gaps in our knowledge of consumer behavior and often fails to uncover insights that can drive revolutionary, rather than evolutionary... View Details
Keywords: Market Research; Ethnography; Design Thinking; Innovation; New Product Development; Research; Marketing; Consumer Behavior; Innovation and Invention
Avery, Jill, and Michael Norton. "Learning From Extreme Consumers." Harvard Business School Technical Note 314-086, January 2014.
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
- 13 Jun 2005
- Research & Ideas
From Turf Wars to Learning Curves: How Hospitals Adopt New Technology
Harvard Business School professors are more likely to be found in the pages of the Academy of Management Review than the New England Journal of Medicine, but recently Gary Pisano and Robert Huckman used the latter View Details