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Show Results For
-
All HBS Web
(11,758)
- People (75)
- News (2,847)
- Research (3,655)
- Events (31)
- Multimedia (331)
- Faculty Publications (2,324)
- November 15, 2019
- Article
‘Transhumanist’ Eternal Life? No Thanks, I'd Rather Learn Not to Fear Death.
By: Arthur C. Brooks
Brooks, Arthur C. "‘Transhumanist’ Eternal Life? No Thanks, I'd Rather Learn Not to Fear Death." Washington Post (November 15, 2019).
- Research Summary
Overview
I am interested in the individual experience of learning in organizational settings, particularly how employees learn to learn from the challenging work they do.
I am currently researching the role of reflection for raising awareness of learning opportunities that...
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- 1990
- Chapter
Measurement, Coordination and Learning in a Multi-plant Network
By: W. B. Chew, K. B. Clark and T. Bresnahan
Keywords:
Factories, Labs, and Plants;
Organizational Structure;
Networks;
Business Model;
Measurement and Metrics;
Cooperation
Chew, W. B., K. B. Clark, and T. Bresnahan. "Measurement, Coordination and Learning in a Multi-plant Network." In Measures for Manufacturing Excellence, edited by Robert S. Kaplan. Boston: Harvard Business School Press, 1990.
- 12 Dec 2014
- Conference Presentation
Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning
By: Himabindu Lakkaraju, Richard Socher and Chris Manning
Lakkaraju, Himabindu, Richard Socher, and Chris Manning. "Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning." Paper presented at the 28th Annual Conference on Neural Information Processing Systems (NIPS), Workshop on Deep Learning and Representation Learning, Montreal, Canada, December 12, 2014.
- July 2005
- Class Lecture
Organizational Learning in the Face of Ambiguous Threats
By: Richard M.J. Bohmer, Amy C. Edmondson and Michael Roberto
Keywords:
Organizational Change and Adaptation
Bohmer, Richard M.J., Amy C. Edmondson, and Michael Roberto. "Organizational Learning in the Face of Ambiguous Threats." Harvard Business School Class Lecture 605-093, July 2005.
- December 2002
- Article
Learning about Internal Capital Markets from Corporate Spinoffs
By: Robert Gertner, Eric Powers and David S. Scharfstein
Gertner, Robert, Eric Powers, and David S. Scharfstein. "Learning about Internal Capital Markets from Corporate Spinoffs." Journal of Finance 57, no. 6 (December 2002): 2479–2506.
- 02 Dec 2008
- News
Business could learn from Obama style, experts say
- 28 Mar 2010
- News
Traditional schools aren't working. Let's move learning online.
- 09 Nov 2011
- News
Learning from Peter Drucker and the Girl Scouts
- 04 Nov 2021
- News
Make Learning a Part of Your Daily Routine
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural...
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Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- September 2014 (Revised March 2017)
- Case
Humanitarian Assistance/Disaster Relief: What Can We Learn from Commercial Supply Chains?
By: Willy Shih and Margaret Pierson
Organizing speedy and efficient supply operations for unpredictable major natural disasters was a continuing challenge for the U.S. military, and the 2010 earthquake in Haiti was both unique in its operational scope and political complexity. As he reviewed the...
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Keywords:
Supply Chains;
Humanitarian Assistance;
Disaster Relief;
Distribution;
Logistics;
Supply Chain;
Supply Chain Management;
Operations;
Distribution Industry;
United States;
Haiti
Shih, Willy, and Margaret Pierson. "Humanitarian Assistance/Disaster Relief: What Can We Learn from Commercial Supply Chains?" Harvard Business School Case 615-003, September 2014. (Revised March 2017.)
- 2008
- Article
Learning (Not) to Talk About Race: When Older Children Underperform in Social Categorization
By: Evan P. Apfelbaum, Kristin Pauker, Nalini Ambady, Samuel R. Sommers and Michael I. Norton
The present research identifies an anomaly in sociocognitive development, whereby younger children (8 and 9 years) outperform their older counterparts (10 and 11 years) in a basic categorization task in which the acknowledgment of racial difference facilitates...
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Apfelbaum, Evan P., Kristin Pauker, Nalini Ambady, Samuel R. Sommers, and Michael I. Norton. "Learning (Not) to Talk About Race: When Older Children Underperform in Social Categorization." Developmental Psychology 44, no. 5 (2008).
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use...
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- Web
Pre-Class Arrival - Christensen Center for Teaching & Learning
Assessment & Feedback Sample Class A case discussion class is not merely an intellectual exercise, but also an emotional and interpersonal experience that requires trust and collaboration. To develop and reinforce an effective case View Details
- February 1991
- Article
An Evaluation of Learning in the Bilateral Winner's Curse
By: S. B. Ball, M. H. Bazerman and J. S. Carroll
Keywords:
Learning
Ball, S. B., M. H. Bazerman, and J. S. Carroll. "An Evaluation of Learning in the Bilateral Winner's Curse." Organizational Behavior and Human Decision Processes 48, no. 1 (February 1991): 1–22.
- 2021
- Chapter
Towards a Unified Framework for Fair and Stable Graph Representation Learning
By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual...
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Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 2114–2124. AUAI Press, 2021.
- Research Summary
Team, Individual, and Organizational Learning From Experience in Two High-Hazard Industries
High-hazard industries such as nuclear power and chemical process plants must learn and improve without sole reliance on trial-and-error. Considerable attention and resources are placed on learning from operating experience, including exchange of best practices, peer...
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- Web
Student Performance - Christensen Center for Teaching & Learning
Participation). Experienced case instructors evaluate class participation based on a student's contribution to the collective learning during class discussions. Establishing objective assessments of these...
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