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- Faculty Publications (74)
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- All HBS Web (741)
- Faculty Publications (74)
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- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
model could learn what the underlying training data is. Layne: You mention that some of the data that people may want to get rid of is personally identifiable information like social View Details
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research...
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Keywords:
A/B Testing;
AI;
AI Algorithms;
AI Creativity;
Algorithm;
Algorithm Bias;
Algorithmic Bias;
Algorithmic Fairness;
Algorithms;
Analytics;
Application Program Interface;
Artificial Intelligence;
Causality;
Causal Inference;
Computing;
Computers;
Data Analysis;
Data Analytics;
Data Architecture;
Data As A Service;
Data Centers;
Data Governance;
Data Labeling;
Data Management;
Data Manipulation;
Data Mining;
Data Ownership;
Data Privacy;
Data Protection;
Data Science;
Data Science And Analytics Management;
Data Scientists;
Data Security;
Data Sharing;
Data Strategy;
Data Visualization;
Database;
Data-driven Decision-making;
Data-driven Management;
Data-driven Operations;
Datathon;
Economics Of AI;
Economics Of Innovation;
Economics Of Information System;
Economics Of Science;
Forecast;
Forecast Accuracy;
Forecasting;
Forecasting And Prediction;
Information Technology;
Machine Learning;
Machine Learning Models;
Prediction;
Prediction Error;
Predictive Analytics;
Predictive Models;
Analysis;
AI and Machine Learning;
Analytics and Data Science;
Applications and Software;
Digital Transformation;
Information Management;
Digital Strategy;
Technology Adoption
- 01 Nov 2018
- Working Paper Summaries
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
- February 2021
- Case
Apple: Privacy vs. Safety (A)
By: Henry McGee, Nien-hê Hsieh, Sarah McAra and Christian Godwin
In 2015, Apple CEO Tim Cook debuted the iPhone 6S with enhanced security measures that enflamed a debate on privacy and public safety around the world. The iPhone 6S, amid a heightened concern for privacy following the 2013 revelation of clandestine U.S. surveillance...
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Keywords:
Iphone;
Encryption;
Data Privacy;
Customers;
Customer Focus and Relationships;
Decision Making;
Ethics;
Values and Beliefs;
Globalized Firms and Management;
Government and Politics;
National Security;
Law;
Law Enforcement;
Leadership;
Markets;
Safety;
Social Issues;
Corporate Social Responsibility and Impact;
Civil Society or Community;
Mobile and Wireless Technology;
Technology Industry;
Consumer Products Industry;
Telecommunications Industry;
Electronics Industry;
United States;
China;
Hong Kong
McGee, Henry, Nien-hê Hsieh, Sarah McAra, and Christian Godwin. "Apple: Privacy vs. Safety (A)." Harvard Business School Case 321-004, February 2021.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving...
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Keywords:
Autoencoder Networks;
Pattern Detection;
Subset Scanning;
Computer Vision;
Statistical Methods And Machine Learning;
Machine Learning;
Deep Learning;
Data Mining;
Big Data;
Large-scale Systems;
Mathematical Methods;
Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- June 2018 (Revised June 2018)
- Case
Facebook Confronts a Crisis of Trust
By: William W. George and Amram Migdal
The case, “Facebook Confronts a Crisis of Trust,” starts with the crisis Facebook founder and CEO Mark Zuckerberg is facing in March 2018 over Cambridge Analytica’s accessing data from 87 million Facebook accounts in order to influence the 2016 U.S. Presidential...
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Keywords:
Facebook;
Data Privacy;
Data Manipulation;
Data Science;
Political Campaigns;
Political Influence;
Voter Mobilization;
Voters' Interests;
Election Outcomes;
Elections;
Cambridge Analytica;
Mark Zuckerberg;
Sheryl Sandberg;
Voting;
Decision Making;
Demographics;
Ethics;
Geopolitical Units;
Government and Politics;
Government Legislation;
National Security;
Political Elections;
Information Management;
Leadership;
Leadership Style;
Crisis Management;
Social Psychology;
Personal Characteristics;
Power and Influence;
Society;
Public Opinion;
Technology Industry;
United States;
United Kingdom
George, William W., and Amram Migdal. "Facebook Confronts a Crisis of Trust." Harvard Business School Case 318-145, June 2018. (Revised June 2018.)
- February 2006 (Revised March 2008)
- Case
ChoicePoint (A)
By: Lynn S. Paine and Zack Phillips
The CEO of ChoicePoint, a leading company in the rapidly growing U.S. personal data industry, must reexamine the company's business model after a serious breach of data security affecting some 145,000 U.S. citizens. He must decide on steps to strengthen data protection...
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Keywords:
Business Model;
Safety;
Rights;
Analytics and Data Science;
Ethics;
Information Technology;
Information Industry;
United States
Paine, Lynn S., and Zack Phillips. "ChoicePoint (A)." Harvard Business School Case 306-001, February 2006. (Revised March 2008.)
- 29 Jun 2020
- Working Paper Summaries
Measuring the Perceived Liquidity of the Corporate Bond Market
- July 2019
- Article
Challenges and Opportunities in Software-Driven Medical Devices
By: William J. Gordon and Ariel Dora Stern
The safety and security of medical devices driven by software, the software-development processes, and the need for data collection and privacy, all offer challenges and opportunities for device regulation and clinical care.
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Keywords:
Medical Devices;
Healthcare;
Health Care;
Health Care and Treatment;
Applications and Software;
Governing Rules, Regulations, and Reforms;
Medical Devices and Supplies Industry
Gordon, William J., and Ariel Dora Stern. "Challenges and Opportunities in Software-Driven Medical Devices." Nature Biomedical Engineering 3, no. 7 (July 2019): 493–497.
- 2007
- Text Book
Business Analysis and Valuation: Using Financial Statements
By: Paul M. Healy and Krishna G. Palepu
Financial statements are the basis for a wide range of business analysis. Managers, securities analysts, bankers, and consultants all use them to make business decisions. There is strong demand among business students for course materials that provide a framework for...
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Healy, Paul M., and Krishna G. Palepu. Business Analysis and Valuation: Using Financial Statements. 4th ed. Mason, OH: Thomson South-Western, 2007.
- 08 Nov 2018
- Working Paper Summaries
Arbitration with Uninformed Consumers
- 2022
- White Paper
Census II of Free and Open Source Software - Application Libraries
By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou
Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data...
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Nagle, Frank, James Dana, Jennifer Hoffman, Steven Randazzo, and Yanuo Zhou. "Census II of Free and Open Source Software - Application Libraries." White Paper, Linux Foundation and Laboratory for Innovation Science at Harvard, March 2022.
- March 2005
- Article
Short- and Long-term Demand Curves for Stocks: Theory and Evidence on the Dynamics of Arbitrage
By: Robin Greenwood
I develop a framework to analyze demand curves for multiple risky securities at extended horizons in a setting with limits-to-arbitrage. Following an unexpected change in uninformed investor demand for several assets, I predict returns of each security to be...
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Keywords:
Limits To Arbitrage;
Event Studies;
Demand Curves;
Portfolio Choice;
Framework;
Demand and Consumers;
Change;
Risk and Uncertainty;
Debt Securities;
Forecasting and Prediction;
Stocks;
Assets;
Investment Portfolio;
System Shocks;
Price;
Japan
Greenwood, Robin. "Short- and Long-term Demand Curves for Stocks: Theory and Evidence on the Dynamics of Arbitrage." Journal of Financial Economics 75, no. 3 (March 2005): 607–649.
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife...
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Keywords:
Business and Government Relations;
Emerging Markets;
Technology Adoption;
Strategy;
Management;
Ethics;
Social Enterprise;
AI and Machine Learning;
Analytics and Data Science;
Natural Environment;
Technology Industry;
Cambodia;
United States;
Africa
Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
- January 2019
- Case
Data.gov (Abridged)
By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to...
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Keywords:
Safety;
Rights;
Analytics and Data Science;
Internet and the Web;
Ethics;
Cost vs Benefits;
Innovation and Management;
Information Management;
Public Administration Industry;
Information Industry;
United States
Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov (Abridged)." Harvard Business School Case 619-043, January 2019.
- 26 May 2009
- Research & Ideas
Improving Market Research in a Recession
face added pressure to secure high-quality data and insights. I recommend that CMOs take the following seven steps to minimize the impact of reduced spending. Stay focused. Savvy marketers focus their...
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Keywords:
by John Quelch
- September 2015 (Revised July 2016)
- Case
Unidentified Industries: Australia 2014
By: Benjamin Esty and William E. Fruhan, Jr.
Helps students to understand how the characteristics of a business are reflected in the firm's financial statements. In this exercise, students are given balance sheet data in percentage form (common-size balance sheets) and other selected financial ratios for a set of...
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Esty, Benjamin, and William E. Fruhan, Jr. "Unidentified Industries: Australia 2014." Harvard Business School Case 216-014, September 2015. (Revised July 2016.)
- May 2010 (Revised May 2010)
- Case
Data.gov
By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to...
View Details
Keywords:
Safety;
Rights;
Analytics and Data Science;
Internet and the Web;
Ethics;
Cost vs Benefits;
Innovation and Management;
Information Management;
Public Administration Industry;
Information Industry;
United States
Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov." Harvard Business School Case 610-075, May 2010. (Revised May 2010.)
- September 2015
- Teaching Note
Unidentified Industries: Australia 2014
Helps students to understand how the characteristics of a business are reflected in the firm's financial statements. In this exercise, students are given balance sheet data in percentage form (common-size balance sheets) and other selected financial ratios for a set of...
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- January 2021 (Revised August 2021)
- Case
ByteDance: TikTok and the Trials of Going Viral
By: William C. Kirby and John P. McHugh
In 2020, TikTok became the most valuable start-up ever. The short-form, video-sharing social media platform emerged as the crown jewel of the Chinese technology firm ByteDance, realizing 850 million monthly users and an estimated worth of $180 billion. However, a...
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Keywords:
China;
Technology;
Startup;
Start-up;
International Strategy;
Global Strategy And Leadership;
Innovation;
Political Risk;
Regulations;
Trump;
Foreign Policy;
Foreign Investment;
Chinese Internet Market;
Global Strategy;
Crisis Management;
Risk and Uncertainty;
Entrepreneurship;
Globalized Economies and Regions;
Government Legislation;
Innovation and Management;
Governing Rules, Regulations, and Reforms;
Internet and the Web;
Social Media;
Technology Industry;
China;
United States
Kirby, William C., and John P. McHugh. "ByteDance: TikTok and the Trials of Going Viral." Harvard Business School Case 321-110, January 2021. (Revised August 2021.)