Publications

May 2018
Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

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

Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details

Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction

May 2024 (Revised January 2025)
Technical Note

Education Technology: A Technical Note

By: Boris Groysberg

This note considers educational technology as it intersects with HR technology. View Details

Keywords: Edtech; HR; AI; Data Science; Competency and Skills; Talent and Talent Management; Human Resources; Personal Development and Career; Education Industry; Technology Industry; United States

August 2019 (Revised February 2020)
Teaching Note

Sidewalk Labs: Privacy in a City Built from the Internet Up

By: Leslie John and Mitch Weiss

Email mking@hbs.edu for a courtesy copy.

The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details

Keywords: Privacy; Privacy By Design; Privacy Regulation; Platforms; Data; Data Security; Behavioral Science; Analytics and Data Science; Safety; Entrepreneurship; Business and Government Relations; Consumer Behavior; Digital Platforms

2022
Article

Data Poisoning Attacks on Off-Policy Evaluation Methods

By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details

Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods

February 2024
Teaching Note

CityScore: Big Data Comes to Boston

By: Boris Groysberg and Sarah L. Abbott

Teaching Note for HBS Case No. 422-050. In 2016, Mayor Marty Walsh of Boston introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. View Details

Keywords: Government Administration; Leadership; Transformation; City; Analytics and Data Science; Measurement and Metrics; Public Administration Industry; United States; Boston

July 2025
Article

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 use 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: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya

May 2014
Article

Incorporating Field Data into Archival Research

By: Eugene F. Soltes

I explore the use of field data in conjunction with archival evidence by examining Iliev, Miller, and Roth's (2014) analysis of an amendment to the Securities Exchange Act of 1934. This regulatory amendment allowed depositary banks to cross-list firms without the... View Details

Keywords: Analytics and Data Science; Research; Financial Reporting

SSRN

Teaching Interest

Overview

By: John A. Deighton

I teach about the ecosystem of big data, the role of data in advertising and creative industries, and customer management and personal privacy in an era of individual addressability. View Details

Keywords: Digital Marketing; Database Marketing; Social Media; Data Analytics; Information; Advertising; Marketing; Media; Technology; Entertainment and Recreation Industry; Entertainment and Recreation Industry; Entertainment and Recreation Industry; Entertainment and Recreation Industry; Entertainment and Recreation Industry

February 2022
Case

CityScore: Big Data Comes to Boston

By: Boris Groysberg and Sarah L. Abbott

In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in... View Details

Keywords: Analytics and Data Science; Government Administration; Leadership; Transformation; City; Measurement and Metrics; Public Administration Industry; Boston; United States

October 2018
Case

BreezoMeter: Making Air Pollution Data Actionable

By: Frank V. Cespedes, Allison M. Ciechanover and Margot Eiran

The case focuses on an Israeli startup that provides actionable air pollution data and forecasts. The company has over 50 enterprise customers and its tool reached a million people daily in 67 countries. The co-founders wrestle with which markets and customers to focus... View Details

Keywords: Startups; Entrepreneurship; Business Startups; Pollutants; Analytics and Data Science; Sales; Marketing; Decision Choices and Conditions; Technology Industry; Israel; United States

November 2019
Article

How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

By: Doug J. Chung, Byungyeon Kim and Byoung G. Park

This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details

Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry

June 2020
Background Note

Customer Management Dynamics and Cohort Analysis

By: Elie Ofek, Barak Libai and Eitan Muller

The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today’s... View Details

Keywords: Cohort Analysis; Customers; Analytics and Data Science; Segmentation; Analysis; Customer Value and Value Chain

Fast Answer

Workplace Diversity: Data Sources

Where can I find data on diversity in the workplace and labor markets? Resource Type Resource Description US. Government Agencies US Equal Opportunity Commission “Job Patterns For Minorities View Details

October 2016
Article

Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance and Resource Allocation in Science

By: Kevin J. Boudreau, Eva Guinan, Karim R. Lakhani and Christoph Riedl

Selecting among alternative innovative projects is a core management task in all innovating organizations. In this paper, we focus on the evaluation of frontier scientific research projects. We argue that the "intellectual distance" between the knowledge embodied in... View Details

Keywords: Knowledge; Innovation; Novelty; Evaluation; Resource Allocation; Decision Choices and Conditions; Innovation and Management; Science-Based Business; Experience and Expertise

SSRN

01 Jun 2023
News

Bridging the ESG Data Gap

interdisciplinary perspectives required to create practical climate solutions,” she explains. As Metric’s customer base expands, providing a one-stop shop for ESG and impact data View Details

Keywords: Deborah Blagg

2016
Working Paper

Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent

By: Pian Shu

Using data on MIT bachelor's graduates from 1994 to 2012, this paper empirically examines the extent to which the inflow of elite talent into the financial industry affects the supply of innovators in science and engineering (S&E). I first show that finance does not... View Details

Keywords: Higher Education; Engineering; Personal Development and Career; Science; Finance

SSRN