Publications

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Article

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu

The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details

Keywords: Machine Learning; Algorithms; Fairness; Mathematical Methods

October 2024
Article

Medicare Part D Protected-Class Policy Is Associated with Lower Drug Rebates

By: Pragya Kakani, Michael Anne Kyle, Amitabh Chandra and Luca Maini

Medicare Part D does not allow plans to exclude drugs in six protected classes from their formularies, which may limit plans’ ability to negotiate rebates and lead to higher spending. We estimated the association between protected-class status, US-level estimated... View Details

Keywords: Insurance; Health Care and Treatment; Governing Rules, Regulations, and Reforms; United States

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2019
Article

Fair Algorithms for Learning in Allocation Problems

By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman

Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details

Keywords: Allocation Problems; Algorithms; Fairness; Learning

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May 16, 2018
Other Article

How Companies Can Use the Data They Collect to Further the Public Good

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca

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January 2018
Article

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik

New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details

Keywords: Analytics and Data Science; Urban Scope; City

April 2024
Article

Decision Authority and the Returns to Algorithms

By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca

We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these... View Details

Keywords: Algorithmic Aversion; Algorithmic Decision Making; Algorithms; Public Entrepreneurship; Govenment; Local Government; Crowdsourcing; Crowdsourcing Contests; Inspection; Principal-agent Theory; Government Administration; Decision Making; Public Administration Industry; United States

22 Apr 2013
Research & Ideas

Earth Day: Recent Research on Sustainability

about real estate, urbanization, sustainability, and infrastructure. LEED-ing by ExampleWhen a local government decides to pursue environmentally aware construction policies for its own buildings, the private sector follows suit,... View Details

Article

Missing the Near Miss: Recognizing Valuable Learning Opportunities in Radiation Oncology

By: Palak Kundu, Olivia Jung, Luca F. Valle, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow

“Near miss” events are valuable low-cost learning opportunities in radiation oncology as they do not result in patient harm and are more pervasive than adverse events that do. Near misses vary depending on the presence of a latent error of behavior or process, and the... View Details

Keywords: Radiation Oncology; Cognitive Biases; Health Care and Treatment; Learning

27 Dec 2015
Research & Ideas

The Most Popular Stories and Research Papers of 2015

actually hinder the most important part of problem-solving: actually solving the problem. Research by Ethan Bernstein and colleagues. The 5 Strategy Rules of Bill Gates, Andy Grove, and Steve Jobs (34,436) David Yoffie and View Details

10 Feb 2016
Sharpening Your Skills

Sharpening Your Skills: New Insights into Career Development

While humblebragging runs rampant on Twitter, it's a lousy self-promotion tactic that usually backfires according to recent research by Ovul Sezer, Francesca Gino, and Michael Norton. Professional Networking... View Details

Keywords: Re: Multiple Faculty

15 Jun 2010
First Look

First Look: June 15

tranches. Overall, a one standard deviation reduction in average time on the market decreases the interest rate for institutional loans by over 30 basis points per annum. While this effect is significantly larger for loan tranches bought... View Details

Keywords: Martha Lagace

06 Dec 2010
Sharpening Your Skills

Sharpening Your Skills: Doing Business in Emerging Markets

Protecting Foreign Investments After a string of forced nationalizations of private enterprises in the 1960s and 1970s, the pendulum swung back and companies were again encouraged by host countries to build and run major infrastructure... View Details

28 Jul 2009
Research Event

Business Summit: Real Estate

Editor's Note: This is a summary of an HBS Business Summit presentation. View a full summary and video of the event on the HBS Centennial Web site linked below. Date of Event: October 14, 2008 Moderator: Howard H. Stevenson, HBS Faculty Speakers: View Details

Keywords: Re: Howard H. Stevenson; Construction; Real Estate

20 Dec 2011
First Look

First Look: December 20

thinkers formed an impression unbiased by the stereotype, suggesting a bottom-up strategy, whereas conscious thinkers relied on the stereotype, suggesting a top-down strategy. That is, when thinking consciously, participants relied more... View Details

Keywords: Carmen Nobel

04 Nov 2008
First Look

First Look: November 4, 2008

trends in the market, the case prompts students to examine the future adoption of drug-eluting stents as well as to consider the potential marketing actions to be taken by Medtronic for ENDEAVOR—a newly approved stent that will hit the... View Details

Keywords: Martha Lagace

Article

Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience

By: Robert S. Kaplan, Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee and Edward B. Clark

Objective
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details

Keywords: Academic Medicine; Cost; Children; Graduate Medical Education