Filter Results
:
(10,464)
Show Results For
-
All HBS Web
(10,464)
- People (74)
- News (2,701)
- Research (3,624)
- Events (31)
- Multimedia (209)
- Faculty Publications (2,180)
Show Results For
-
All HBS Web
(10,464)
- People (74)
- News (2,701)
- Research (3,624)
- Events (31)
- Multimedia (209)
- Faculty Publications (2,180)
- 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
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.
- 01 Dec 2007
- News
Learning to Lead
learn that Keller forgoes the football game for the Sunday meeting — and that his presence is indispensable in deciphering the implications of the model he’s helped create. The moment marks a shift in how...
View Details
- March 2014
- Supplement
School of One: Reimagining How Students Learn (B)
By: John J-H Kim and Christine S. An
This supplements the "A" case. Joel Rose and Chris Rush decide to spin-off from School of One to found New Classrooms Innovation Partners. Rose and Rush navigate the strategic complexities of the spin-off process to make their mission-driven product a reality. The case...
View Details
Keywords:
Education Technology;
Ed Tech;
Classroom Innovation;
Entrepreneurs;
Entrepreneurship;
Patents;
Spin-offs;
Non-profit Management;
Scaling Ed Tech Products;
Strategy
Kim, John J-H, and Christine S. An. "School of One: Reimagining How Students Learn (B)." Harvard Business School Supplement 314-115, March 2014.
- November 2009 (Revised October 2010)
- Case
AME Learning Inc.
By: Thomas R. Eisenmann and Ann Leamon
Justin Joffe is about to graduate from HBS in Spring 2009. He must decide whether to join his father's company, Toronto-based AME Learning, as president working alongside his father who will be CEO. AME has been in business for 12 years, mostly as a small consulting...
View Details
Keywords:
Business Model;
Family Business;
Age;
Private Equity;
Financing and Loans;
Growth and Development Strategy;
Family and Family Relationships
Eisenmann, Thomas R., and Ann Leamon. "AME Learning Inc." Harvard Business School Case 810-065, November 2009. (Revised October 2010.)
- 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.
- 04 Nov 2021
- News
Make Learning a Part of Your Daily Routine
- August 2020
- Article
Macroeconomic Drivers of Bond and Equity Risks
By: John Y. Campbell, Carolin E. Pflueger and Luis M. Viceira
Our new model of consumption-based habit generates time-varying risk premia on bonds and stocks from loglinear, homoskedastic macroeconomic dynamics. Consumers' first-order condition for the real risk-free bond generates an exactly loglinear consumption Euler equation,...
View Details
Keywords:
Consumption-based Habit Formation;
Consumption Euler Equation;
Time-varying Risk Premia;
Inflation Dynamics;
Bond-stock Correlation;
Risk and Uncertainty;
Bonds;
Macroeconomics
Campbell, John Y., Carolin E. Pflueger, and Luis M. Viceira. "Macroeconomic Drivers of Bond and Equity Risks." Journal of Political Economy 128, no. 8 (August 2020): 3148–3185.
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning...
View Details
Keywords:
Big Data;
Data Science And Analytics Management;
Governance And Compliance;
Organizational Systems And Technology;
Anomaly Detection;
Application Performance Management;
Machine Learning;
Enterprise Architecture;
Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- 12 May 2015
- Video
Class of 2015: What did you learn here?
- 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
- September 2006
- Article
The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
In an experiment, players ability to learn to cooperate in the repeated prisoners dilemma was substantially diminished when the payoffs were noisy, even though players could monitor one anothers past actions perfectly. In contrast, in one-time play against a succession...
View Details
Bereby-Meyer, Yoella, and Alvin E. Roth. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
- 05 Nov 2019
- News
Learning from a Different Past
- 01 Oct 2018
- News
Learning About Leadership
years––in addition to my two years at HBS––being a really critical student of company management teams. One of the great things about being an equity analyst is you get to meet with lots View Details
Keywords:
Finance
- October 2018
- Article
The Operational Value of Social Media Information
By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to...
View Details
Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
- 2021
- Working Paper
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that...
View Details
Keywords:
Experience;
Interdependency;
Strategic Foresight;
Crowdfunding;
Timeline;
Delay;
Forecasting;
Entrepreneurship;
Learning;
Complexity;
Forecasting and Prediction;
Product Development;
Planning
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Harvard Business School Working Paper, No. 21-123, January 2021. (Revised May 2021.)
- December 2021
- Article
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that...
View Details
Keywords:
Crowdfunding;
Experience;
Prediction;
Timeline;
Complexity;
Entrepreneurship;
Learning;
Experience and Expertise;
Forecasting and Prediction
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Art. 1. Strategic Management Journal 42, no. 13 (December 2021): 2357–2388. (Lead article.)
- Spring 2014
- Article
Leveraging Crowdsourced Peer-to-Peer Assessments to Enhance the Case Method of Learning
By: Jill Avery
Many marketing educators use the case method to help their students strengthen their decision-making skills. Rigorous class participation is essential to achieving learning objectives in case method learning. One challenge for case method instructors is the assessment...
View Details
Avery, Jill. "Leveraging Crowdsourced Peer-to-Peer Assessments to Enhance the Case Method of Learning." Journal for Advancement of Marketing Education 22, no. 1 (Spring 2014): 1–15.
- 22 Feb 2022
- News
Vision: Learning Curve
poverty,” Gupta says. What they lack are the awareness, the information, and the tools required to take a more active role in supporting their children’s early cognitive development—all of which are gaps that Rocket View Details
- 19 Sep 2014
- News