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Show Results For
-
All HBS Web
(11,759)
- People (75)
- News (2,847)
- Research (3,656)
- Events (31)
- Multimedia (331)
- Faculty Publications (2,325)
- 1991
- Chapter
With Open Ears: Listening and the Art of Discussion Learning
Leonard, Herman B. "With Open Ears: Listening and the Art of Discussion Learning." In Education for Judgment: The Artistry of Discussion Leadership, edited by C. R. Christensen, David A. Garvin, and A. Sweet. Boston: Harvard Business School Press, 1991.
- Web
Machine Learning frameworks (Tensorflow, PyTorch, Keras, OpenCV) - Research Computing Services
v1.19 scipy 1.5 pandas v1.1 scikitlearn v0.23 matplotlib v3.3 the Spyder IDE v4.1 The AI environment can be loaded using the following command in your terminal window: module load AI/python.3.7.7 To learn...
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- March 1998
- Article
The Dynamics of Learning Alliances: Competition, Cooperation, and Relative Scope
Gulati, Ranjay, Tarun Khanna, and Nitin Nohria. "The Dynamics of Learning Alliances: Competition, Cooperation, and Relative Scope." Strategic Management Journal 19, no. 3 (March 1998). (A shorter version of this paper appeared in Academy of Management Best Papers Proceedings, 1994.)
- 24 Apr 2018
- Op-Ed
Op-Ed: What Mark Zuckerberg Can Learn About Crisis Leadership from Starbucks
Facebook’s current data privacy crisis, could learn a lot from Johnson. Let’s examine how Johnson and Zuckerberg measured up against what I have identified as 7 Lessons for Leading in Crisis. #1: Face reality, starting with yourself....
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- 01 Feb 2021
- Working Paper Summaries
Learning with People Like Me: The Role of Age-Similar Peers on Online Business Course Engagement
- April 29, 2020
- Article
The Case for AI Insurance
By: Ram Shankar Siva Kumar and Frank Nagle
When organizations place machine learning systems at the center of their businesses, they introduce the risk of failures that could lead to a data breach, brand damage, property damage, business interruption, and in some cases, bodily harm. Even when companies are...
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Keywords:
Artificial Intelligence;
Machine Learning;
Internet and the Web;
Safety;
Insurance;
AI and Machine Learning;
Cybersecurity
Kumar, Ram Shankar Siva, and Frank Nagle. "The Case for AI Insurance." Harvard Business Review Digital Articles (April 29, 2020).
- 2004
- Case
Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (B)
By: Allen Grossman, James P. Honan and Caroline Joan King
- 25 Sep 2015
- Working Paper Summaries
Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning
- 2000
- Working Paper
Bridging Knowledge Gaps: Learning in Geographically Dispersed Cross-functional Development Teams
By: Deborah Sole and A. Edmondson
- 10 Dec 2014
- News
Lessons for Private Equity Learned From the Last Merger Frenzy
- Research Summary
Overview
Jenny is broadly interested in interpretable machine learning (ML), identity and inequality, and improving existing methods used to answer social and policy-relevant questions. Her recent projects have focused on developing tools that explore how LLMs are reshaping...
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- 03 Apr 2019
- Working Paper Summaries
Learning or Playing? The Effect of Gamified Training on Performance
- Web
Questioning, Listening & Responding - Christensen Center for Teaching & Learning
depth or clarity. In general, instructors should view responses as micro-level opportunities to guide the participant-centered learning process-typically through minimal means, but occasionally through more...
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- 2004
- Case
Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (A)
By: Allen Grossman, James P. Honan and Caroline Joan King
- March 2021
- Article
Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic
Past research has focused on understanding the characteristics of work that are fully virtual or fully collocated. The present study seeks to expand our understanding of team work by studying knowledge workers' experiences as they were suddenly forced to transition to...
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Keywords:
Team Work;
Activities;
Virtual Work;
Digital Technologies;
Groups and Teams;
Health Pandemics;
Internet and the Web;
Adaptation
Whillans, Ashley V., Leslie Perlow, and Aurora Turek. "Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic." Information and Organization 31, no. 1 (March 2021).
- September 2006
- Article
Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
Bereby-Meyer, Yoella, and Alvin E. Roth. "Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
- 11 Mar 2021
- News
6 lessons in teamwork leaders can learn from competitive sailing
- Forthcoming
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with...
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Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics (forthcoming). (Pre-published online July 8, 2024.)
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...
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Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).