Filter Results:
(10,663)
Show Results For
- All HBS Web
(10,663)
- People (74)
- News (2,860)
- Research (3,834)
- Events (45)
- Multimedia (240)
- Faculty Publications (2,374)
Show Results For
- All HBS Web
(10,663)
- People (74)
- News (2,860)
- Research (3,834)
- Events (45)
- Multimedia (240)
- Faculty Publications (2,374)
- 19 Oct 2010
- Working Paper Summaries
The Impact of Supply Learning on Customer Demand: Model and Estimation Methodology
- 04 Feb 2022
- Blog Post
Learning from the Entrepreneurs-in-Residence as a Harvard MS/MBA Student
there are an infinite number of ways to spend your time learning – each equally compelling but vastly unique and tailored to various learning styles. One View Details
- 14 Mar 2019
- News
Failure to Phoenix: 7 Lessons to Learn from Failure
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- 22 Jul 2015
- News
Learning from Starbucks on job creation
- March 2008
- Article
What Have We Learned from Market Design?
By: Alvin E. Roth
This essay discusses some things we have learned about markets, in the process of designing marketplaces to fix market failures. To work well, marketplaces have to provide thickness, i.e. they need to attract a large enough proportion of the potential participants in... View Details
Keywords: Risk Management; Market Design; Market Participation; Market Transactions; Failure; Safety
Roth, Alvin E. "What Have We Learned from Market Design?" Economic Journal 118, no. 527 (March 2008): 285–310. (Hahn Lecture.)
- March 2023
- Article
Learning to Successfully Hire in Online Labor Markets
By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details
Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.
- Research Summary
Organisational Learning in Software Requirements Engineering and Management
The current research project addresses the continuing low success rate of software development projects, which has been frequently reported in empirical studies. For example, the 2004 Chaos Report by the Standish Group found that only 29% of 9,236 application... View Details
- Web
Harvard Business School Online Courses & Learning Platforms
hrs/week Pay by November 6 $1,850 Certificate New Strategic Financial Analysis Professor Suraj Srinivasan Explore the intersection of accounting, strategy, and finance, and learn how to evaluate a business’s... View Details
- 2008
- Chapter
When Learning and Performance Are at Odds: Confronting the Tension
By: Sara Jean Singer and A. C. Edmondson
This chapter explores complexities of the relationship between learning and performance. We start with the general proposition that learning promotes performance and then describe several challenges for researchers and managers who wish to study or promote learning in... View Details
- Article
Overcoming the Winner's Curse: An Adaptive Learning Perspective
By: Yoella Bereby-Meyer and Brit Grosskopf
The winner's curse phenomenon refers to the fact that the winner in a common value auction, in order to actually win the auction, is likely to have overestimated the item's value and consequently is likely to gain less than expected and may even lose (i.e., it is said... View Details
Bereby-Meyer, Yoella, and Brit Grosskopf. "Overcoming the Winner's Curse: An Adaptive Learning Perspective." Journal of Behavioral Decision Making 21, no. 1 (January 2008): 15–27.
- 13 Apr 2011
- News
Learning to love the irrational mind
- 05 Dec 2017
- News
What We've Learned from 101 Entrepreneurs in Emerging Markets
- 07 Jan 2012
- News
What Minnesota can learn from Germany
- 25 Jan 2011
- News
The Leadership Learning Moment That Wasn't
- 19 Jun 2020
- Podcast
Dexai: Machine learning in the kitchen
Advances in robotics have opened the way for the ultimate in smart kitchen appliances. Draper Labs spinoff, Dexai, makes the AI brains that coordinate the actions of Alfred, a robotic arm versatile enough follow recipes and handle orders in commercial kitchens.... View Details
- 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
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.
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- 17 Jun 2019
- Research & Ideas
What Hospitals Must Learn to Compete
Harvard Business School professors Raffaella Sadun and Leemore Dafny are both economists who have studied hospitals extensively—Sadun’s research has looked at the economics of management, while Dafny’s examines interactions between health... View Details