Publications

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

Keywords: Machine Learning; Unlearning Algorithm; Mathematical Methods

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

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... View Details

Keywords: Cross-Cultural and Cross-Border Issues; Business History; Supply Chain; Manufacturing Industry; Rubber Industry; Brazil

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... View Details

Keywords: Creativity; Cognition and Thinking; Behavior; Performance; Motivation and Incentives; Training

Purchase

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

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

Educators

Purchase

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

12 Oct 2021
Research & Ideas

What Actually Draws Sports Fans to Games? It's Not Star Athletes.

suggests that spectators also value something far simpler: the suspense of not knowing who will win. In fact, stadiums sell more tickets when the outcome of a game is less predictable, says a study by Harvard Business School Professor... View Details

Keywords: by Rachel Layne; Sports

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

SSRN

07 Jan 2015
Research & Ideas

The Quest for Better Layoffs

A few years ago, Sandra J. Sucher received worried emails from two MBA students in her first-year Leadership and Corporate Accountability (LCA) class at Harvard Business School. Elana Green (now Elana Silver) and David Rosales (both HBS MBA 2010) had been troubled... View Details

Keywords: by Carmen Nobel; Manufacturing

July 2017
Teaching Note

Designing Transformational Customer Experiences

By: Stefan Thomke

Keywords: Customer Experience; Design; Exercise; Learning By Doing; LEGO; Storytelling; Transformation

Purchase

03 Mar 2023
Research & Ideas

When Showing Know-How Backfires for Women Managers

Sometimes, trying to prove yourself in one task takes away time from doing other important tasks. “Women experience the fear that people are going to think they’re not good at, competent in, or capable in their roles.” Especially women... View Details

Keywords: by Kara Baskin; Retail; Consumer Products

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

Research Summary

Paper - Commodity Chains: what can we learn from a business history of the rubber chain? (1870-1910)

The literature on the rubber boom applied a Marxist/Dependendist view of rubber production in the Brazilian Amazon. Even though a sizeable surplus was generated in the rubber chain, it was mostly appropriated by foreigners. This view is in tune with the Global... View Details

09 Jun 2022
HBS Case

From Truck Driver to Manager: US Foods’ Novel Approach to Staff Shortages

in March 2020, the pandemic only exacerbated a longstanding issue. The shortage of drivers to deliver food supplies to the roughly 300,000 restaurants, hotels, hospitals, schools, and universities serviced by US Foods was not its only... View Details

Keywords: by Pamela Reynolds

04 Oct 2010
Research & Ideas

Introverts: The Best Leaders for Proactive Employees

relatively passive but the managers were extraverted. On the other hand, when employees were proactive, the stores led by introverted managers earned high profits. Meanwhile, profits were lower in stores where extraverted managers led... View Details

Keywords: by Carmen Nobel

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

Keywords: Regression Models; Machine Learning; Fairness; Framework; Mathematical Methods

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