Publications

Educators

Article

Fast Subset Scan for Multivariate Spatial Biosurveillance

By: Daniel B. Neill, Edward McFowland III and Huanian Zheng

We extend the recently proposed ‘fast subset scan’ framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time clusters even when the numbers of spatial locations and data streams are large. These fast algorithms... View Details

13 May 2014
News

Why Twitter Needs India

November 2017
Teaching Note

Facebook Fake News in the Post-Truth World

By: John R. Wells and Gabriel Ellsworth

Teaching Note for HBS No. 717-473. In January 2017, Mark Zuckerberg, founder and CEO of Facebook, was surrounded by controversy. The election of Donald Trump as the next president of the United States in November 2016 had triggered a national storm of protests, and... View Details

Keywords: Facebook; Fake News; Mark Zuckerberg; Donald Trump; Algorithms; Social Networking; Social Networks; Partisanship; Social Media; App Development; Instagram; WhatsApp; Smartphone; Silicon Valley; Office Space; Digital Strategy; Democracy; Entry Barriers; Online Platforms; Controversy; Tencent; Agility; Gaming; Gaming Industry; Computer Games; Mobile Gaming; Messaging; Monetization Strategy; Advertising; Digital Marketing; Business Ventures; Acquisition; Mergers and Acquisitions; Business Growth and Maturation; Business Headquarters; Business Organization; For-Profit Firms; Trends; Advertising Industry; Communications Industry; Entertainment and Recreation Industry; Information Industry; Information Technology Industry; Journalism and News Industry; Media and Broadcasting Industry; Service Industry; Technology Industry; Telecommunications Industry; Video Game Industry; United States; California; Sunnyvale; Russia

2017
Working Paper

Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity

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

Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only... View Details

Keywords: Economy; Analytics and Data Science; Local Range; Social and Collaborative Networks

SSRN

March 2015 (Revised June 2015)
Case

Medalogix

By: Richard G. Hamermesh and Matthew G. Preble

This case examines an exciting new approach to health care that will help care providers identify when hospice services are the appropriate type of care for patients. The company, Medalogix, already has a product on the market that uses a proprietary algorithm to... View Details

Keywords: Health Care; Health Care Entrepreneurship; Health Care Services; Implementing Strategy; Dissemination; Innovation; Market Selection; Health; Health Care and Treatment; Analytics and Data Science; Marketing Strategy; Innovation and Management; Innovation Strategy; Health Industry; United States

Educators

2023
Working Paper

Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data

By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman

To mitigate information asymmetry about borrowers in developing economies, digital lenders utilize machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details

Keywords: Borrowing and Debt; Credit; AI and Machine Learning; Welfare; Well-being; Developing Countries and Economies; Equality and Inequality

SSRN

Ayelet Israeli is the Marvin Bower Associate Professor of Business Administration at the Harvard Business School Marketing Unit. She is the co-founder of the Customer Intelligence Lab at the Digital Data Design (D^3) Institute at Harvard Business School. She teaches... View Details

Keywords: retailing; e-commerce industry; internet; automotive

September 2015
Article

Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago

By: Abel Kho, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers and et al.

Objective
To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details

Keywords: Information; Customers; Safety; Rights; Ethics; Entrepreneurship; Health Care and Treatment; Health Industry; Chicago

Article

Orienteering for Electioneering

By: Jonah Kallenbach, Robert Kleinberg and Scott Duke Kominers

In this paper, we introduce a combinatorial optimization problem that models the investment decision a political candidate faces when treating his or her opponents’ campaign plans as given. Our formulation accounts for both the time cost of traveling between districts... View Details

Keywords: Political Elections; Resource Allocation; Time Management; Analysis

22 Sep 2021
News

Workers Say Employers Have Been Guilty of Ghosting Them for Years

Forthcoming
Article

Branch-and-Price for Prescriptive Contagion Analytics

By: Alexandre Jacquillat, Michael Lingzhi Li, Martin Ramé and Kai Wang

Contagion models are ubiquitous in epidemiology, social sciences, engineering, and management. This paper formulates a prescriptive contagion analytics model where a decision maker allocates shared resources across multiple segments of a population, each governed by... View Details

Keywords: COVID-19; Mathematical Methods

Find at Harvard

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... View Details

Keywords: Machine Learning; Black Box Models; Framework

03 Mar 2022
HBS Seminar

Daniela Saban, Stanford

February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

October 2023 (Revised December 2023)
Case

Compound: Lending on the Blockchain

By: Marco Di Maggio, George Gonzalez and Richard Dulude

This case critically examines Compound, an innovative decentralized finance (DeFi) platform. Focusing on Compound’s blockchain-based borrowing and lending protocol, the case explores its automated, intermediary-free system using Ethereum smart contracts. This system... View Details

Keywords: Blockchain; Cryptocurrency; Disruptive Innovation; Borrowing and Debt; Financing and Loans; Organizational Design; Technological Innovation

Educators

May 2020
Article

Inventory Auditing and Replenishment Using Point-of-Sales Data

By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos

Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an... View Details

Keywords: Shelf Availability; Inventory Record Inaccuracy; Optimal Replenishment; Retail Analytics; Performance Effectiveness; Analysis; Mathematical Methods

Find at Harvard

2023
Article

Balancing Risk and Reward: An Automated Phased Release Strategy

By: Yufan Li, Jialiang Mao and Iavor Bojinov

Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details

Keywords: Product Launch; Mathematical Methods; Product Development