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Show Results For
- All HBS Web
(5,623)
- People (4)
- News (1,210)
- Research (3,313)
- Events (80)
- Multimedia (179)
- Faculty Publications (2,725)
- August 2017 (Revised August 2018)
- Case
The Oakland Athletics: Strategy & Metrics for a Budget
By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
- August 2024
- Course Overview Note
Entrepreneurship in the Life Sciences Fall Term 2024: Course Outline and Syllabus
By: Satish Tadikonda and William Marks
- January 1996 (Revised September 2001)
- Teaching Note
General Dynamics and Computer Sciences Corporation: Outsourcing the IS Function Series TN
Teaching Note for (9-193-144), (9-193-145), and (9-193-178). View Details
- 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
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- 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.)
- 2019
- Chapter
Poor Mao's Almanack? Empire, Political Economy, and the Transformation of Social Science
Reinert, Sophus A. "Poor Mao's Almanack? Empire, Political Economy, and the Transformation of Social Science." Chap. 2 in Empire and the Social Sciences: Global Histories of Knowledge, edited by Jeremy Adelman. London: Bloomsbury Academic, 2019.
- April 1996 (Revised March 1998)
- Supplement
Starlite: Confidential Instructions for S. Mason, VP of HR Health Sciences Division
By: Kathleen L. McGinn and Julia Morgan
Supplements Starlite Corp.: General Information. View Details
McGinn, Kathleen L., and Julia Morgan. "Starlite: Confidential Instructions for S. Mason, VP of HR Health Sciences Division." Harvard Business School Supplement 396-356, April 1996. (Revised March 1998.)
- 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).
- March 2022
- Article
Developing Strategic Human Resource Theory and Making a Difference: An Action Science Perspective
By: Michael Beer
Beer, Michael. "Developing Strategic Human Resource Theory and Making a Difference: An Action Science Perspective." Art. 100632. Human Resource Management Review 32, no. 1 (March 2022).
- March 2022 (Revised January 2025)
- Technical Note
Linear Regression
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.)
- May 2013
- Teaching Plan
China Novartis Institute for Biomedical Research: Building a Sustainable, Globally Integrated Research Enterprise
By: Vicki Sato and Annelena Lobb
Sato, Vicki, and Annelena Lobb. "China Novartis Institute for Biomedical Research: Building a Sustainable, Globally Integrated Research Enterprise." Harvard Business School Teaching Plan 613-103, May 2013.
- 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 Accenture Tech Labs and... View Details