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Show Results For
- All HBS Web
(5,746)
- People (4)
- News (1,241)
- Research (3,424)
- Events (83)
- Multimedia (188)
- Faculty Publications (2,836)
- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
- June 2022 (Revised January 2025)
- Technical Note
Causal Inference
This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details
Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Causal Inference." Harvard Business School Technical Note 622-111, June 2022. (Revised January 2025.)
- 15 Sep 2010
- Working Paper Summaries
From Bench to Board: Gender Differences in University Scientists’ Participation in Commercial Science
- 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.
- 21 May 2021
- HBS Conference
Crossing Disciplines: Studying Fairness, Bias, and Inequality in Management and Decision Sciences Research
The Value of Descriptive Analytics: Evidence from Online Retailers - Marketing Science
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- June 1993
- Case
General Dynamics and Computer Sciences Corporation: Outsourcing the IS Function (A) and (B) (Abridged)
By: F. Warren McFarlan and Katherine N. Seger
Describes the largest information systems outsourcing agreement in the industry from the perspectives of both companies involved in the deal. View Details
Keywords: Restructuring; Transition; Job Cuts and Outsourcing; Contracts; Agreements and Arrangements; Business Strategy; Information Technology
McFarlan, F. Warren, and Katherine N. Seger. "General Dynamics and Computer Sciences Corporation: Outsourcing the IS Function (A) and (B) (Abridged)." Harvard Business School Case 193-178, June 1993.
- September 1, 2015
- Article
Should Governments Nudge Us to Make Good Choices?
By: Jon M. Jachimowicz and Sam McNerney
Jachimowicz, Jon M., and Sam McNerney. "Should Governments Nudge Us to Make Good Choices?" Scientific American Mind (September 1, 2015).
- August 2021
- Case
Precision Paint Co.
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details
Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.
- 08 Nov 2021
- Blog Post
4 Ways the MS/MBA is Preparing Me for a Career in Health Care and the Life Sciences
Tell us about your life before HBS. I grew up in Antwerp, Belgium as part of the Jewish community. Having four grandparents who are Holocaust survivors, I felt it was important to experience life in Israel, and so, after taking a gap year, pursued a joint degree in... View Details
- 03 Jan 2017
- Research & Ideas
5 New Year's Resolutions You Can Keep (With the Help of Behavioral Science Research)
good.’” To learn more, see Rituals Alleviate Grieving for Lovers, Loved Ones, and Lotteries. And if you have resolved not to obsess over resolutions this year, behavioral science supports you. Are you giving yourself a break when it comes... View Details
Keywords: by Carmen Nobel
- August 2024
- Course Overview Note
Field Course: Life Sciences Venture Creation Fall Term 2024 - Course Outline and Syllabus
By: Satish Tadikonda and William Marks
- 26 Jul 2016
- News