Filter Results
:
(1,701)
Show Results For
-
All HBS Web
(1,701)
- People (9)
- News (315)
- Research (1,021)
- Events (12)
- Multimedia (10)
- Faculty Publications (834)
Show Results For
-
All HBS Web
(1,701)
- People (9)
- News (315)
- Research (1,021)
- Events (12)
- Multimedia (10)
- Faculty Publications (834)
- 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
Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
- May 2018
- Exercise
Data Visualization & Communication Exercise
By: Srikant M. Datar and Caitlin N. Bowler
This exercise uses the 1986 Challenger shuttle disaster to explore the relationship between data visualization, effective communication, and decision-making. Students review and analyze excerpts from the 13 charts engineers presented to NASA executives the night before...
View Details
Keywords:
Visualization;
Data;
Analytics and Data Science;
Communication;
Performance Effectiveness;
Decision Making;
Analysis
Datar, Srikant M., and Caitlin N. Bowler. "Data Visualization & Communication Exercise." Harvard Business School Exercise 118-107, May 2018.
- 2012
- Article
Exploring Re-Identification Risks in Public Domains
By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle
While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two...
View Details
- 2022
- Article
Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset...
View Details
Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords:
Economics Of AI;
Machine Learning;
Non-stationarity;
Perishability;
Value Depreciation;
Analytics and Data Science;
Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a...
View Details
Keywords:
Machine Learning;
Theory Building;
Induction;
Decision Trees;
Random Forests;
K-nearest Neighbors;
Neural Network;
P-hacking;
Analytics and Data Science;
Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- December 2016 (Revised December 2020)
- Course Overview Note
Big Data in Marketing
By: John Deighton and Mike Horia Teodorescu
Deighton, John, and Mike Horia Teodorescu. "Big Data in Marketing." Harvard Business School Course Overview Note 517-077, December 2016. (Revised December 2020.)
- 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
Frankel, J., and K. A. Froot. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations." American Economic Review 77, no. 1 (March 1987): 133–153. (Revised from NBER Working Paper No. 1672.)
- February 1985 (Revised August 1985)
- Supplement
Computervision-Japan (C)
Presents sales data for 1983 and 1984.
View Details
Moriarty, Rowland T., Jr. "Computervision-Japan (C)." Harvard Business School Supplement 585-157, February 1985. (Revised August 1985.)
- Profile
Philipp Schäelli
you need to visit and live in countries yourself in order to understand them. Having interacted with Start-ups and VCs as president of the Entrepreneurship club I knew that I wanted to be investing at a slightly later stage of the development process of a business when...
View Details
- 28 May 2019
- News
Leading Questions
lesson she learned from Professor Boris Groysberg in an HBS classroom: “The most important leadership skills in the future aren’t going to be analytical or diagnostic skills. The thing that will make the most difference is the skill of...
View Details
Keywords:
April White
- Article
Beyond Statistics: The Economic Content of Risk Scores
By: Liran Einav, Amy Finkelstein, Raymond Kluender and Paul Schrimpf
"Big data" and statistical techniques to score potential transactions have transformed insurance and credit markets. In this paper, we observe that these widely-used statistical scores summarize a much richer heterogeneity, and may be endogenous to the context in which...
View Details
Einav, Liran, Amy Finkelstein, Raymond Kluender, and Paul Schrimpf. "Beyond Statistics: The Economic Content of Risk Scores." American Economic Journal: Applied Economics 8, no. 2 (April 2016): 195–224.
- February 25, 2016
- Article
The Hodgepodge Principle in U.S. Privacy Policy
By: John A. Deighton
Data, says Professor Lawrence Summers, is the new oil, "a hugely valuable asset essential to economic life." Personal data, the kind of data that invites thoughts of privacy, is a big part of that. The European Union saw this economic fuel source coming long ago and...
View Details
Keywords:
Data;
Privacy;
Technology;
Big Data;
Personal Data;
Marketing;
Information Technology;
Analytics and Data Science
Deighton, John A. "The Hodgepodge Principle in U.S. Privacy Policy." Harvard Law and Policy Review Blog (March 2, 2016). http://harvardlpr.com/2016/03/02/the-hodgepodge-principle-in-us-privacy-policy/.
- 2020
- Working Paper
An Empirical Guide to Investor-Level Private Equity Data from Preqin
By: Juliane Begenau, Claudia Robles-Garcia, Emil Siriwardane and Lulu Wang
This note provides guidance on the use of investor-level private equity data from Preqin for empirical research. Preqin primarily sources its cash flow data through Freedom of Information Act (FOIA) requests with U.S. public pensions. Our focus is on the components of...
View Details
Keywords:
Private Equity Returns;
Prequin Data;
Private Equity;
Analytics and Data Science;
Investment Return
Begenau, Juliane, Claudia Robles-Garcia, Emil Siriwardane, and Lulu Wang. "An Empirical Guide to Investor-Level Private Equity Data from Preqin." Working Paper, December 2020.
- 2019
- Article
Big Data
By: John A. Deighton
Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified that, the paper argues, have large consequences for the social order. The infrastructure that runs...
View Details
Keywords:
Big Data;
Digital Infrastructure;
Privacy;
Algorithm;
Data Generators;
Marketplace Icon;
Analytics and Data Science;
Infrastructure;
Power and Influence;
Society
Deighton, John A. "Big Data." Consumption, Markets & Culture 22, no. 1 (2019): 68–73.
- 01 Sep 2016
- News
Research Brief: Cultivating Creativity through Competition
given to their competitors. Using analytical software that evaluates visual similarities between designs, Gross compared each submission with prior entries by the same designer, and related the similarity to the number and quality of...
View Details
Keywords:
Erin Peterson
- Portrait Project
Michael Newton
companions than I am accustomed to these days. The Boy Scouts, Guitar Hero, and Vader's relentless chewing dominated the meandering conversation. At the end of the night, I found it hard to leave. HBS is an incredible gift but it leads us to think too big and too View Details
- Fast Answer
Grand Challenges for Entrepreneurs
research. PatentSight, a database with unique patent data analytic solutions, useful for obtaining insights about...
View Details
- 30 Mar 2015
- News
Leveraging the power of yes
analytical a donor may be, ultimately, the decision to give is rooted very strongly in the act of giving,” says Dichter, who, as a personal test, ran a 30-day “generosity experiment” during which he said yes to everyone who asked him for...
View Details
- 29 Jun 2015
- HBS Case
Consumer-centered Health Care Depends on Accessible Medical Records
Charlotte, which in 2014 owned and managed hospitals and acute care facilities in three states. In 2011, Carolinas launched Dickson Advanced Analytics, which incorporated complex clinical, financial, demographic, and claims data to develop View Details