Publications

November 2020
Teaching Note

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli

Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals.... View Details

2023
Working Paper

PRIMO: Private Regression in Multiple Outcomes

By: Seth Neel

We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details

Keywords: Analytics and Data Science; Mathematical Methods

November 2015 (Revised May 2016)
Case

Aspiring Minds

By: Karim R. Lakhani, Marco Iansiti and Christine Snively

By 2015, India-based employment assessment and certification provider Aspiring Minds had helped facilitate over 300,000 job matches through its assessment tools. Aspiring Minds' flagship product, the Aspiring Minds Computer Adaptive Test (AMCAT), used machine learning... View Details

Keywords: Information Technology; Strategy; Higher Education; Technological Innovation; Employment; Technology Industry; India; China

Educators

October 2022
Exercise

Shanty Real Estate: Confidential Information for Homebuyer 3

By: Michael Luca, Jesse M. Shapiro and Nathan Sun

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details

Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing

20 Apr 2020
News

Digital Transformation: Business Leaders Still Struggling to Cope

2023
Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill

In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details

Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias

27 Feb 2018
HBS Seminar

Lin William Cong, University of Chicago Booth School of Business

03 Sep 2019
News

Wait Wait…Tell Me!

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

Find at Harvard

October 2022
Exercise

Shanty Real Estate: Confidential Information for Homebuyer 2

By: Michael Luca, Jesse M. Shapiro and Nathan Sun

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details

Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing

A key policy question raised by the advent of fintech lenders revolves around the impact on credit availability of credit models that employ alternative data and algorithmic underwriting. We exploit anonymized administrative data provided by a major fintech platform... View Details

2019
Working Paper

‘Organizing’, ‘Innovating’ and ‘Managing’ in Complexity Space

By: Michael C. Moldoveanu

We two-dimensional measure of organizational complexity that distinguishes between the informational and computational dimensions of complexity and aims to function as a maximally context-invariant environment for posing fundamental questions about organizational... View Details

Keywords: Organizational Dynamics; Organizations; Complexity; Adaptation; Innovation and Invention

2024
Working Paper

Principles and Content for Downstream Emissions Disclosures

By: Robert S. Kaplan and Karthik Ramanna

In a previous paper, we proposed the E-liability carbon accounting algorithm for companies to measure and subsequently reduce their own and their suppliers’ emissions. Some investors and stakeholders, however, want companies to also be accountable for downstream... View Details

Keywords: Carbon Emissions; Disclosure; Carbon Footprint; Climate Change; Measurement and Metrics; Corporate Disclosure; Environmental Sustainability; Corporate Social Responsibility and Impact

2016
Chapter

Deriving an Optimally Deceptive Policy in Two-Player Iterated Games

By: Elisabeth Paulson and Christopher Griffin

We formulate the problem of determining an optimally deceptive strategy in a repeated game framework. We assume that two players are engaged in repeated play. During an initial time period, Player 1 may deceptively train his opponent to expect a specific strategy. The... View Details

Keywords: Deception; Strategy; Game Theory

In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital... View Details

Front Page News: The Effect of News Positioning on Financial markets

This paper estimates the effect of presentation of information on financial markets, using quasi-random variation in prominent "front page" positioning of news on the Bloomberg... View Details

2025
Working Paper

Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

By: Ta-Wei Huang and Eva Ascarza

As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details

Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing

SSRN

Article

Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang

Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR website, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details

Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Perception; Internet and the Web; Investment

May 2022 (Revised June 2024)
Case

LOOP: Driving Change in Auto Insurance Pricing

By: Elie Ofek and Alicia Dadlani

John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing... View Details

Keywords: AI and Machine Learning; Technological Innovation; Equality and Inequality; Prejudice and Bias; Growth and Development Strategy; Customer Relationship Management; Price; Insurance Industry; Financial Services Industry

Educators