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Show Results For
- All HBS Web
(1,929)
- News (299)
- Research (1,298)
- Events (27)
- Multimedia (11)
- Faculty Publications (777)
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
- 11 Apr 2023
- Research & Ideas
Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide
estate company—they have a lot of buildings,” says MarcAntonio Awada, head of research and data science at the Digital, Data, and Design... View Details
Why You Aren’t Getting More from Your Marketing AI - HBR
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the... View Details
The Gift of Global Talent
The global race for talent is on, with countries and businesses competing for the best and brightest. Foreign talent has transformed U.S. science and engineering, reshaped the economy, and influenced society at large. But America is bogged down in thorny debates on... View Details
- 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.)
- 2024
- Working Paper
Economic Budgeting for Endowment-Dependent Universities
By: John Y. Campbell, Jeremy C. Stein and Alex A. Wu
To understand their financial position, universities need to understand the long-term implications of their operating revenues and costs in relation to the financial assets they have available. Standard budgeting procedures that focus on one or two years at a time and... View Details
Campbell, John Y., Jeremy C. Stein, and Alex A. Wu. "Economic Budgeting for Endowment-Dependent Universities." Working Paper, March 2024.
- 21 Sep 2023
- HBS Seminar
Pinar Ozcan, Saïd Business School
- 2020
- Book
The Power of Experiments: Decision-Making in a Data-Driven World
By: Michael Luca and Max H. Bazerman
Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details
Keywords: Experiments; Randomized Controlled Trials; Organizations; Decision Making; Analytics and Data Science; Management Analysis, Tools, and Techniques
Luca, Michael, and Max H. Bazerman. The Power of Experiments: Decision-Making in a Data-Driven World. Cambridge, MA: MIT Press, 2020.
- 08 Sep 2010
- News
Emerging Scholar Award
- 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... View Details
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.)
Srikant M. Datar
Srikant M. Datar became the eleventh dean of Harvard Business School on 1 January 2021. During his tenure as a faculty member, he served as Senior Associate Dean for University Affairs (including Faculty Chair of the Harvard Innovation Lab), for Research, for... View Details
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 09 Dec 2019
- Research & Ideas
Identify Great Customers from Their First Purchase
School. By incorporating data most companies discard, Ascarza and her co-researcher devised an algorithm capable of quickly analyzing more than 40 variables to create a “first impression” of the customer... View Details
- 2025
- Working Paper
Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach
By: Ta-Wei Huang and Eva Ascarza
As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)
- 29 May 2001
- Research & Ideas
Genomics: Can We Start Making Money Now?
drugs, and will they be less expensive?' My answer is, 'I don't know, and probably not.' Lechleiter was one of several panelists to discuss, "Breaking the Genetic Code: The Business of Life View Details
Keywords: by Sean Silverthorne
- 29 Nov 2016
- HBS Seminar
Aneeta Rattan, London Business School
- 18 Apr 2017
- First Look
First Look at New Ideas, April 18
March 27, 2017 Harvard Business Review How the Water Industry Learned to Embrace Data By: Cespedes, Frank V., and Amir Peleg Abstract—Most current talk about “big data” seems to assume the disintermediation... View Details
Keywords: by Sean Silverthorne
- Article
Space, the Final Economic Frontier
After decades of centralized control of economic activity in space, NASA and U.S. policymakers have begun to cede the direction of human activities in space to commercial companies. NASA garnered more than 0.7% of GDP in the mid-1960s but is only around 0.1% of GDP... View Details
Weinzierl, Matthew C. "Space, the Final Economic Frontier." Journal of Economic Perspectives 32, no. 2 (Spring 2018): 173–192.
- 13 Apr 2023
- HBS Seminar