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Show Results For
- All HBS Web
(10,177)
- People (64)
- News (3,258)
- Research (3,953)
- Events (24)
- Multimedia (60)
- Faculty Publications (1,368)
- 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... View Details
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 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... View Details
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.
- 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... View Details
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
.)- Web
10 Things I Learned During My First Month in the MS/MBA: Engineering Sciences Program - MBA
Blog Blog MBA Voices Filter Results Arrow Down Arrow Up Read posts from Author Alumni Author Career and Professional Development Staff Author HBS Community Author HBS Faculty Author MBA Admissions Author MBA Students Topics Topics 1st Year (RC) 2+2 Program 2nd Year... View Details
- 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... View Details
- 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... View Details
- 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... View Details
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).
- 2023
- Working Paper
Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency
By: Gunther Glenk, Philip Holler and Stefan Reichelstein
Widespread adoption of hydrogen as an energy carrier is widely believed to require continued advances in Power-to-Gas (PtG) technologies. Here we provide a comprehensive assessment of the dynamics of system prices and conversion efficiency for three currently prevalent... View Details
Keywords: Clean Tech; Decarbonization; Carbon Emissions; Learning By Doing; Environment; Energy; Environmental Management; Sustainable Cities; Price; Energy Industry; Utilities Industry; Industrial Products Industry; Manufacturing Industry; Transportation Industry; Europe; North America; South America; Africa; Asia
Glenk, Gunther, Philip Holler, and Stefan Reichelstein. "Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency." TRR 266 Accounting for Transparency Working Paper Series, No. 109, December 2022.
- 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... View Details
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.
- 1999
- Chapter
On the Role of Reinforcement Learning in Experimental Games: The Cognitive Game Theory Approach
By: Ido Erev and A. E. Roth
- March 2017
- Exercise
Designing Transformational Customer Experiences
By: Stefan Thomke
Anyone who has recently travelled, gone shopping, or tried to have a problem solved may have little recollection of the experience. Worse yet, some are frustrated by the lack of responsiveness or empathy that they encountered. The reality is that most customer... View Details
Keywords: Customer Experience; Exercise; Learning By Doing; LEGO; Storytelling; Customer Satisfaction; Design; Innovation and Management; Transformation; Service Delivery
Thomke, Stefan. "Designing Transformational Customer Experiences." Harvard Business School Exercise 617-051, March 2017.
- 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.
- 14 Aug 2017
- Conference Presentation
A Convex Framework for Fair Regression
By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details
Berk, Richard, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. "A Convex Framework for Fair Regression." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), August 14, 2017.
- 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... View Details
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.)
- 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... View Details
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).
- 2021
- Working Paper
Who Closed the Schools?
By: Joshua D. Coval
This paper examines the differences in characteristics between U.S. public schools that opted for virtual instruction because of COVID-19, and schools that did not. Much of the variation can be explained by measures of the degree to which districts favored teachers... View Details
Keywords: Public Education; COVID-19; Virtual Learning; Education; Health Pandemics; Teaching; Internet and the Web; Policy; Outcome or Result; United States
Coval, Joshua D. "Who Closed the Schools?" Harvard Business School Working Paper, No. 21-127, June 2021.
- 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... View Details
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.)
- October 2023
- Article
Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 30–67. (Profiled in the Regulatory Review.)
- 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)... View Details
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).