Publications

Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth

Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details

Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory

January 2021 (Revised March 2021)
Case

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Jill Avery, Ayelet Israeli and Emma von Maur

THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States

November 2023
Article

Federated Electronic Health Records for the European Health Data Space

By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier

The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details

Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry

July 2021
Article

Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time

By: Sam Ransbotham, Eric Overby and Michael C. Jernigan

Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details

Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry

Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we... View Details

Article

Some Uses of Happiness Data in Economics

By: Rafael Di Tella and Robert MacCulloch

Keywords: Happiness; Analytics and Data Science; Economics

October 2015 (Revised October 2016)
Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih

This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details

Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States

October 2021
Case

CrisisReady: Private Data for Public Good

By: Tarun Khanna and James Barnett

In October 2021, CRISISREADY.io considers how and if it should scale operations. View Details

Keywords: Decision Making; Ethics; Globalization; Governance; Government and Politics; Intellectual Property; Science; Technology

22 May 2014
News

For Website Personalization, Simple Is the New Sexy

Keywords: web analytics; customer data; web personalization

Web

Web of Science | Baker Library

Web of Science Complete bibliographic data plus citations and abstracts to journal articles across a wide range of scientific, technological, social sciences, arts, View Details

May 2009 (Revised October 2009)
Case

Verne Global: Building a Green Data Center in Iceland

Verne Global, a pioneering startup created to build the first large-scale data center in Iceland, faces critical challenges regarding its green strategy. Verne Co-Founder Isaac Kato is tasked with evaluating how the company can most successfully market and sell the... View Details

Keywords: Buildings and Facilities; Business Startups; Marketing Strategy; Product Marketing; Sales; Environmental Sustainability; Pollutants; Green Technology Industry; Service Industry; Iceland

Fast Answer

Investing in Life Sciences - SIP Resources

href="https://www.library.hbs.edu/services/learn-with-baker-library#" target="_blank">Learn with Baker Library LSEG Workspace Introduction. Startup and Private company profiles: Pitchbook has detailed profiles on startups View Details

2018
Working Paper

Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change

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

We demonstrate that data from digital platforms such as Yelp have the potential to improve our understanding of gentrification, both by providing data in close to real time (i.e., nowcasting and forecasting) and by providing additional context about how the local... View Details

Keywords: Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Forecasting and Prediction

13 Jun 2017
Blog Post

MS/MBA: Engineering Sciences – A Q&A with Professor Robert Howe

The first MS/MBA: Engineering Sciences cohort will enroll in the MS/MBA program in August of 2018.The program is a major collaboration between HBS and the Harvard John A. Paulson School of Engineering View Details

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

September 2010
Article

Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?

By: Saravanan Kesavan, Vishal Gaur and Ananth Raman

Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details

Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States

2018
Chapter

Competing Interests

By: Joel Goh

Book Abstract: The editors, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field.... View Details

Keywords: Healthcare; Analytics; Health Care and Treatment; Research; Competition

2023
Working Paper

Black-box Training Data Identification in GANs via Detector Networks

By: Lukman Olagoke, Salil Vadhan and Seth Neel

Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details

Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science