Publications

June 2022
Article

The Use and Misuse of Patent Data: Issues for Finance and Beyond

By: Josh Lerner and Amit Seru

Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details

Keywords: Patents; Analytics and Data Science; Corporate Finance; Research

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2022
Working Paper

Small Campaign Donors

By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons

In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details

Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science

March–April 2022
Article

Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize

By: Shefali V. Patil and Ethan Bernstein

Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from... View Details

Keywords: Monitoring; Transparency; Polarization; Body Worn Cameras; Quasi Field Experiment; Analytics and Data Science; Employees; Perception; Law Enforcement

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March 2022 (Revised January 2025)
Technical Note

Exploratory Data Analysis

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details

Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis

March 2022 (Revised January 2025)
Technical Note

Linear Regression

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details

Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

March 2022 (Revised January 2025)
Technical Note

Prediction & Machine Learning

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details

Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation

March 2022 (Revised January 2025)
Technical Note

Statistical Inference

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details

Keywords: Data Science; Statistics; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

March 2022
Case

GrowSari (A): Design for the Last Mile Customer

By: Brian Trelstad, Cam Carag and Michi Ferreol

Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed to decide how to proceed. The pair,... View Details

Keywords: Fast Moving Consumer Goods; Product Launch; Information Technology; Analytics and Data Science; Digital Platforms; Retail Industry; Consumer Products Industry; Technology Industry; Philippines

March 2022
Supplement

GrowSari (B)

By: Brian Trelstad, Cam Carag and Michi Ferreol

Case supplement for HBS Case No. 322-036. Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed... View Details

Keywords: Fast Moving Consumer Goods; Product Launch; Information Technology; Analytics and Data Science; Digital Platforms; Retail Industry; Consumer Products Industry; Technology Industry; Philippines

March 2022
Teaching Note

Digital Manufacturing at Amgen

By: Shane Greenstein, Kyle R. Myers and Sarah Mehta

This teaching note provides guidance for instructors teaching “Digital Manufacturing at Amgen,” case no. 621-008. View Details

March 2022 (Revised January 2024)
Case

Moksha Data: Delivering Insights for Public Service

By: Ashish Nanda and Zack Kurtovich

Moksha Data, a boutique consulting firm specializing in public sector work, started in January 2017 with a handshake between friends and a shared commitment to the principles of egalitarianism, ownership, and collaboration. The Houston-based firm had built momentum... View Details

Keywords: Professional Service Firms; Professional Service Firm; Strategy Formulation; Data; Data As A Service; Government Contracting; Consulting; Consulting Firms; Consulting Services; Entrepreneurship; Public Sector; Analytics and Data Science; Growth and Development; Strategy; Consulting Industry; Texas

March 2022
Article

Where to Locate COVID-19 Mass Vaccination Facilities?

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero

The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details

Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods

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

February 2022
Teaching Plan

Community Solutions

By: Brian Trelstad and Tom Quinn

Teaching Plan for HBS Case No. 322-021. Community Solutions was an anti-homelessness nonprofit founded in 2011 after protagonist Rosanne Haggerty grew frustrated with the limited impact of traditional housing and outreach strategies. It set an ambitious goal, reached... View Details

Keywords: Homelessness; Social Issues; Housing; Human Needs; Poverty; Welfare; Business and Community Relations; Analytics and Data Science; Business Strategy; Corporate Social Responsibility and Impact; Philanthropy and Charitable Giving

2022
Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju

As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods