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Show Results For
- All HBS Web
(1,470)
- News (191)
- Research (1,044)
- Events (20)
- Multimedia (8)
- Faculty Publications (642)
- October 2018
- Case
Fundraising at St. Camillus Hospital
By: Srikant M. Datar and Caitlin N. Bowler
St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate, who is also a digital... View Details
Keywords: Data Analysis; Data Privacy; Data Governance; Non-profit; Health Care; Fundraising; Data Security; Analytics and Data Science; Safety; Governance; Ethics; Health Care and Treatment; Cybersecurity
Datar, Srikant M., and Caitlin N. Bowler. "Fundraising at St. Camillus Hospital." Harvard Business School Case 119-027, October 2018.
- September 2021 (Revised December 2021)
- Case
Spire, the CubeSat Revolution, and the Government as a Space Data Customer
By: Matthew Weinzierl, Mehak Sarang and Brendan L. Rosseau
This case outlines the rise of Spire Global, a young space company using CubeSats to provide weather data and weather prediction services. In addition to tracing the evolution of a space startup from novel idea to publicly-traded company, the case also examines the... View Details
Keywords: Space; Government Contracting; Remote Sensing; Satellites; Business Startups; Public Sector; Cost vs Benefits; Competition; Weather; Forecasting and Prediction
Weinzierl, Matthew, Mehak Sarang, and Brendan L. Rosseau. "Spire, the CubeSat Revolution, and the Government as a Space Data Customer." Harvard Business School Case 722-013, September 2021. (Revised December 2021.)
- 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
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- 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
- 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/.
- 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 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
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.)
- 26 Jul 2016
- News
The Science Behind Why You Don’t Save (And What To Do About It)
- 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
Allen, Casey J., 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. "Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative." Journal of Surgical Research 262 (June 2021): 115–120.
- 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
Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
- Article
Considerations of Fairness and Strategy: Experimental Data from Sequential Games
By: V. Prasnikar and A. E. Roth
Prasnikar, V., and A. E. Roth. "Considerations of Fairness and Strategy: Experimental Data from Sequential Games." Quarterly Journal of Economics 107, no. 3 (August 1992): 865–888.
- 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
Li, Danielle, and Leila Agha. "Big Names or Big Ideas: Do Peer-Review Panels Select the Best Science Proposals?" Science 348, no. 6233 (April 24, 2015): 434–438.
- August 2001
- Article
Technology as a Complex Adaptive System: Evidence from Patent Data
Fleming, L., and O. Sorenson. "Technology as a Complex Adaptive System: Evidence from Patent Data." Research Policy 30, no. 7 (August 2001).
- 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
- 2016
- Working Paper
Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent
By: Pian Shu
Using data on MIT bachelor's graduates from 1994 to 2012, this paper empirically examines the extent to which the inflow of elite talent into the financial industry affects the supply of innovators in science and engineering (S&E). I first show that finance does not... View Details
Shu, Pian. "Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent." Harvard Business School Working Paper, No. 16-067, December 2015. (Revised November 2016.)
- 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.)
- 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
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- 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
Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.
- 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
Siegel, Jordan I., and Prithwiraj Choudhury. "A Reexamination of Tunneling and Business Groups: New Data and New Methods." Review of Financial Studies 25, no. 6 (June 2012): 1763–1798.
- 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
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.