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Show Results For
- All HBS Web
(4,575)
- People (9)
- News (1,158)
- Research (2,256)
- Events (47)
- Multimedia (31)
- Faculty Publications (1,136)
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- 25 Sep 2006
- Research & Ideas
How Software Platforms Revolutionize Business
a 50,000-foot level, what impact have software platforms had on traditional industries over the last thirty years? Andrei Hagiu: At its most fundamental level, they have fueled innovation and improved productivity. Software platforms have... View Details
- 29 Sep 2011
- Sharpening Your Skills
Sharpening Your Skills: Leveraging Intellectual Property
File-Sharing and Copyright Researchers Felix Oberholzer-Gee and Koleman Strumpf argue that file-sharing technology has not undermined the... View Details
Keywords: Re: Multiple Faculty
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- 13 Jan 2003
- Research & Ideas
Making Biotech Work as a Business
technologies for drug discovery.) And patients with previously unmet medical needs can now get treatments that were not available before. That should be inspiring, he reminded the audience. Economic... View Details
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
- 01 Dec 2015
- Research & Ideas
What to Do When Your Organization Has Dueling Missions
ones that keep the tension alive.” The researchers plan to extend their studies into other types of hybrid organizations, such as hospitals, other social enterprises, and universities. View Details
Keywords: by Carmen Nobel
- 24 Jun 2013
- Research & Ideas
Is Your iPhone Turning You Into a Wimp?
affected how people behave afterward." The study is related to previous experimental research in which Cuddy and colleagues prove the positive effects of adopting expansive body postures - hands on hips,... View Details
- May 2020
- Teaching Note
Bayer Crop Science
By: David E. Bell, Michael Norris and Mel Martin
Teaching Note for HBS Case No. 520-055. View Details
- May–June 2025
- Article
Slowly Varying Regression Under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research 73, no. 3 (May–June 2025): 1581–1597.
- 16 Jan 2014
- Research & Ideas
Resolving Patent Disputes that Impede Innovation
prompted a new research paper that starts to investigate ways to make these patents less volatile and more efficient—and makes the case for increased government involvement. "Standards are ubiquitous... View Details
- 15 Oct 2012
- Research & Ideas
Why Business IT Innovation is so Difficult
especially larger ones, have done so. Those that have done the heavy IT and organizational lifting, such as Walmart, reap serious dividends. "There's a tremendous gap between the most IT-savvy firms and the... View Details
Keywords: by Maggie Starvish
- March 2022 (Revised January 2025)
- Technical Note
Linear Regression
By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised January 2025.)
- June 2014
- Supplement
Intuit Inc.: Project AgriNova PowerPoint Supplement
In late 2008, a team from Intuit's office in Bangalore, India, is evaluating an opportunity to launch a new venture that would use SMS to deliver crop price information to farmers in India. The case describes the structure of Indian agriculture and the problems... View Details
Keywords: Corporate Venturing; Entrepreneurship; Research; Business Ventures; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Bangalore
Eisenmann, Thomas R. "Intuit Inc.: Project AgriNova PowerPoint Supplement." Harvard Business School PowerPoint Supplement 814-125, June 2014.
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
- 11 May 2015
- Research & Ideas
A Road Map to Fix America’s Transportation Infrastructure
Any highway commuter who has wasted hours stuck in traffic can see the cracks in the United States' transportation system, as can any airline passenger who has been stranded overnight in an airport. Yet while many agree that the need for infrastructure change is... View Details
- December 1991 (Revised February 1992)
- Case
Dayton Electric Corp.
Concerns a product redesign decision for one of the company's most successful motor products, its rectified power, medium D-C motor, the RPM. A one-year redesign program has proposed a design that comes close to meeting its stated cost and performance goals, but at the... View Details
Keywords: Product Design; Strategic Planning; Research and Development; Business Divisions; Decisions; Forecasting and Prediction; Product Development; Technological Innovation; Machinery and Machining; Manufacturing Industry; Ohio
Wheelwright, Steven C. "Dayton Electric Corp." Harvard Business School Case 692-071, December 1991. (Revised February 1992.)
- 2013
- Article
Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews
By: Jun Seok Kang, Polina Kuznetsova, Yejin Choi and Michael Luca
Restaurant hygiene inspections are often cited as a success story of public disclosure. Hygiene grades influence customer decisions and serve as an accountability system for restaurants. However, cities (which are responsible for inspections) have limited resources to... View Details
Keywords: Safety; Food; Governance Compliance; Mathematical Methods; Applications and Software; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry
Kang, Jun Seok, Polina Kuznetsova, Yejin Choi, and Michael Luca. "Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2013): 1443–1448.