Publications

01 Mar 2004
Lessons from the Classroom

Mission to Mars: It Really Is Rocket Science

program learning. For example, a $4 million transmitter that would have provided data on why the 1999 Polar Lander mission failed as it neared the surface was deemed too costly to include. Yet without this data, it was more likely that a... View Details

Keywords: by Sean Silverthorne

2024
Working Paper

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

By: Melissa Ouellet and Michael W. Toffel

This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details

Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods

SSRN

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... View Details

Educators

13 Jun 2017
Blog Post

7 Reasons Why the New MS/MBA: Engineering Sciences Program at Harvard is Next Level

companies now. i.e. This is bigger than just you. Interested in learning more about the MS/MBA? Here are four things you need to know. -- Anita Mehrotra is a Class of 2018 HBS student (Section I!) and was previously a data scientist at... View Details

May–June 2015
Article

Big Data: Big Deal or Big Hype?

By: Sunil Gupta

Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details

Keywords: Big Data; Analytics and Data Science; Management Practices and Processes

Web

Data Visualization for Analysis and Communication - Course Catalog

HBS Course Catalog Data Visualization for Analysis and Communication Course Number 2135 Professor Martin Wattenberg Professor Fernanda Viégas Spring; Q4; 1.5 credits Project Overview: A hands-on introduction to View Details

June 2021
Article

Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative

By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz

We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission... View Details

Keywords: Value-based Health Care; Health Care and Treatment; Analytics and Data Science; Outcome or Result; Measurement and Metrics; Performance Improvement

26 Jul 2016
News

The Science Behind Why You Don’t Save (And What To Do About It)

31 Oct 2019
Blog Post

5 Things on My Mind in the Second Year of the MS/MBA: Engineering Sciences Program

engineering quite yet. I chose Harvard’s MS/MBA: Engineering Sciences Program because of its interdisciplinary approach to bridge the gap between engineering and business. I saw that the program consisted of not only engineering and... View Details

Article

Considerations of Fairness and Strategy: Experimental Data from Sequential Games

By: V. Prasnikar and A. E. Roth

Keywords: Fairness; Strategy; Analytics and Data Science; Games, Gaming, and Gambling

August 2001
Article

Technology as a Complex Adaptive System: Evidence from Patent Data

Keywords: Information Technology; System; Patents; Analytics and Data Science

Article

Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications

By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström

Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details

Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science

27 Jun 2017
Blog Post

Why I Would Have Applied to the MS/MBA: Engineering Sciences Program

think the technical SEAS programming would have been a value add to your MBA? "I think the technical programming would have added huge value. Many of the methods in data science and machine learning... View Details

March 1987
Article

Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations

By: J. Frankel and K. A. Froot

Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Analytics and Data Science; Finance

2022
Working Paper

Machine Learning Models for Prediction of Scope 3 Carbon Emissions

By: George Serafeim and Gladys Vélez Caicedo

For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details

Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting

SSRN

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

February 2021
Tutorial

Getting Started in RStudio Cloud

By: Chiara Farronato and Caleb Kwon

This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and... View Details

Keywords: Data Analysis; Data Analytics; Experiment; Experimental Design; Analytics and Data Science; Analysis; Applications and Software

Article

Big Names or Big Ideas: Do Peer-Review Panels Select the Best Science Proposals?

By: Danielle Li and Leila Agha

This paper examines the success of peer-review panels in predicting the future quality of proposed research. We construct new data to track publication, citation, and patenting outcomes associated with more than 130,000 research project (R01) grants funded by the U.S.... View Details

Keywords: Patents; Research; Entrepreneurship; Forecasting and Prediction; Innovation and Invention; Business and Government Relations; United States

June 2012
Article

A Reexamination of Tunneling and Business Groups: New Data and New Methods

By: Jordan I. Siegel and Prithwiraj Choudhury

One of the most rigorous methodologies in the corporate governance literature uses firms' reactions to industry shocks to characterize the quality of governance. This methodology can produce the wrong answer unless one considers the ways firms compete. Because... View Details

Keywords: Corporate Governance; Mergers And Acquisitions; Business Economics; Firm Organization; Firm Performance; Groups and Teams; Analytics and Data Science