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Show Results For
-
All HBS Web
(10,110)
- People (64)
- News (3,231)
- Research (3,925)
- Events (24)
- Multimedia (60)
- Faculty Publications (1,353)
- September 2011
- Article
Up Close and Personal: Developing Foundations for Leader Development through Personalization of Management Learning
By: Gianpiero Petriglieri, Jack D. Wood and Jennifer L. Petriglieri
This paper examines the process through which management students develop personal foundations (such as self-awareness, self-management, and a grounding life narrative) for the ongoing development and practice of leadership. We conducted an inductive, qualitative study...
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Keywords:
Leadership Development;
Innovation and Invention;
Personal Development and Career;
Curriculum and Courses;
Customization and Personalization;
Learning;
Management Practices and Processes;
Business Education
Petriglieri, Gianpiero, Jack D. Wood, and Jennifer L. Petriglieri. "Up Close and Personal: Developing Foundations for Leader Development through Personalization of Management Learning." Academy of Management Learning & Education 10, no. 3 (September 2011). (
Nominated for Carolyn Dexter Award For the paper that best meets the objective of internationalizing the Academy presented by Academy of Management. Winner of Best Paper in Graduate Management Education Sponsored by the Graduate Management Admission Council (GMAC) presented by Academy of Management
.)- Summer 2020
- Article
Accelerating Innovation Through a Network of Ecosystems: What Companies Can Learn from One of the World's Largest Networks of Accelerator Labs
By: Elizabeth J. Altman and Frank Nagle
A United Nations agency with a sweeping mission and sprawling global presence may not appear to be the most likely place where companies can learn new techniques for accelerating innovation — but appearances can be deceiving. The United Nations Development Programme...
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Altman, Elizabeth J., and Frank Nagle. "Accelerating Innovation Through a Network of Ecosystems: What Companies Can Learn from One of the World's Largest Networks of Accelerator Labs." MIT Sloan Management Review 61, no. 4 (Summer 2020).
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such...
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Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- 2019
- Working Paper
Thinking Outside the Box (12): The Benefits of Increased Transparency in Employer-Sponsored Health Insurance for the 180 Million Insured
By: Regina E. Herzlinger and Barak D. Richman
Economists have long noted that the tax exclusion of employer-sponsored insurance (ESI) caused workers to purchase health plans that differ in price and other characteristics from those they would otherwise choose for themselves. We explore the short-term and long-term...
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Keywords:
After-tax Income;
Consumer-driven Health Care;
Health Care Costs;
Health Insurance;
Income Inequality;
Tax Policy;
Health Care and Treatment;
Cost;
Insurance;
Income;
Equality and Inequality;
Taxation;
Policy;
United States
Herzlinger, Regina E., and Barak D. Richman. "Thinking Outside the Box (12): The Benefits of Increased Transparency in Employer-Sponsored Health Insurance for the 180 Million Insured." Duke Law School Public Law & Legal Theory Series, No. 2020-4, December 2019.
- September 2020
- Article
Regulatory Sandboxes: A Cure for mHealth Pilotitis?
By: Abhishek Bhatia, Rahul Matthan, Tarun Khanna and Satchit Balsari
Mobile health (mHealth) and related digital health interventions in the past decade have not always scaled globally as anticipated earlier despite large investments by governments and philanthropic foundations. The implementation of digital health tools has suffered...
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Keywords:
COVID-19;
mHealth;
Digital Health;
Design Thinking;
Regulation;
Intervention;
Regulatory Sandbox;
Health Care and Treatment;
Technological Innovation;
Design;
Governing Rules, Regulations, and Reforms;
India
Bhatia, Abhishek, Rahul Matthan, Tarun Khanna, and Satchit Balsari. "Regulatory Sandboxes: A Cure for mHealth Pilotitis?" Journal of Medical Internet Research 22, no. 9 (September 2020).
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and...
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Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
- 1999
- Chapter
On the Role of Reinforcement Learning in Experimental Games: The Cognitive Game Theory Approach
By: Ido Erev and A. E. Roth
- 08 Jun 2018
- News
My First Job: Selling Shoes, Surviving Black Monday, and Shaped by Chicken Lenses
regard to just taking my job seriously and being responsible. And it was also-- you know, as a first job, you have to show up on time. I was closing the store at night and so there was a lot to be done in terms of making sure that everything was safe and secure. So I...
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- September 2009
- Article
A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement
By: Matthew Carty MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow and Dennis Orgill
Background: The increased focus on quality and efficiency improvement within academic surgery has met with variable success among plastic surgeons. Traditional surgical performance metrics, such as morbidity and mortality, are insufficient to improve the... View Details
Keywords:
Experience and Expertise;
Health Care and Treatment;
Medical Specialties;
Outcome or Result;
Performance Efficiency;
Performance Improvement
Carty, Matthew, MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow, and Dennis Orgill. "A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement." Plastic and Reconstructive Surgery 124, no. 3 (September 2009): 706–714.
- Web
Learning from Mistakes and Leveraging Personal Experiences: Tiffany Kent (MBA 2001) - Recruiting
Insights & Advice 15 Aug 2024 Learning from Mistakes and Leveraging Personal Experiences: Tiffany Kent (MBA 2001) Tiffany Kent Author Alumni tag All Industries All Locations Alumni Student & Alumni Stories I graduated from Harvard...
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- Mar 2021
- Conference Presentation
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both...
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Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March 2021.
- 01 Jun 2020
- News
Homeschooled
SK: I think it’s going to be a blend. We started the Khan Lab School because we believe so much in in-person instruction, especially with the younger age groups. In terms of higher education, by the time...
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- 2010
- Working Paper
Commodity Chains: What Can We Learn from a Business History of the Rubber Chain? (1870-1910)
By: Felipe Tamega Fernandes
The literature on the rubber boom applied a Dependendist view of rubber production in the Brazilian Amazon. Even though a sizable surplus was generated in the rubber chain, it was mostly appropriated by foreigners. This view is in tune with the Global Commodity Chain...
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Keywords:
Cross-Cultural and Cross-Border Issues;
Business History;
Supply Chain;
Manufacturing Industry;
Rubber Industry;
Brazil
Fernandes, Felipe Tamega. "Commodity Chains: What Can We Learn from a Business History of the Rubber Chain? (1870-1910)." Harvard Business School Working Paper, No. 10-089, April 2010.
- July 2019 (Revised November 2019)
- Case
Osaro: Picking the Best Path
By: William R. Kerr, James Palano and Bastiane Huang
The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms...
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Keywords:
Artificial Intelligence;
Machine Learning;
Robotics;
Robots;
Ecommerce;
Fulfillment;
Warehousing;
AI;
Startup;
Technology Commercialization;
Business Startups;
Entrepreneurship;
Logistics;
Order Taking and Fulfillment;
Information Technology;
Commercialization;
Learning;
Complexity;
Competition;
E-commerce
Kerr, William R., James Palano, and Bastiane Huang. "Osaro: Picking the Best Path." Harvard Business School Case 820-012, July 2019. (Revised November 2019.)
- 1995
- Article
The Positive Impact of Creative Activity: Effects of Creative Task Engagement and Motivational Focus on College Student's Learning
By: R. Conti, T. M. Amabile and S. Pollack
This study assessed the effectiveness of engaging students in a creative activity on a topic as a means of encouraging an active cognitive set toward learning that topic area. This technique was examined in three motivational contexts. Before reading a short...
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Keywords:
Creativity;
Cognition and Thinking;
Behavior;
Performance;
Motivation and Incentives;
Training
Conti, R., T. M. Amabile, and S. Pollack. "The Positive Impact of Creative Activity: Effects of Creative Task Engagement and Motivational Focus on College Student's Learning." Personality and Social Psychology Bulletin 21 (1995): 1107–1116.
- 2013
- Article
The Strategic Fitness Process: A Collaborative Action Research Method for Developing Organizational Prototypes and Dynamic Capabilities
By: Michael Beer
Organizations underperform and sometimes fail because their leaders are unable to learn the unvarnished truth from relevant stakeholders about how the design and behavior of the organization is misaligned with its goals and strategy. The Strategic Fitness Process (SFP)...
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Keywords:
Organization Alignment;
Dynamic Capabilities;
Organization Design;
Organizational Prototyping;
Organizational Silence;
Organizational Learning;
Organizational Change and Adaptation;
Strategic Planning;
Organizational Design
Beer, Michael. "The Strategic Fitness Process: A Collaborative Action Research Method for Developing Organizational Prototypes and Dynamic Capabilities." Journal of Organization Design 2, no. 1 (2013).
- 12 Oct 2021
- News
What Actually Draws Sports Fans to Games? It's Not Star Athletes.
- September 2018
- Article
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work-scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks...
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Keywords:
Discretion;
Scheduling;
Queue;
Healthcare;
Learning;
Experience;
Decentralization;
Operations;
Service Operations;
Service Delivery;
Performance;
Performance Effectiveness;
Performance Efficiency;
Performance Improvement;
Performance Productivity;
Decisions;
Time Management;
Cost vs Benefits;
Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Management Science 64, no. 9 (September 2018): 4389–4407. (Working paper available here. Winner of the 2017 Best Paper Competition of the POMS College of Healthcare Operations Management. Featured in Forbes, Quartz, and Inc.)
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a...
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Keywords:
Machine Learning Models;
Counterfactual Explanations;
Adversarial Examples;
Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).