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Show Results For
-
All HBS Web
(5,795)
- People (4)
- News (1,143)
- Research (3,223)
- Events (79)
- Multimedia (163)
- Faculty Publications (2,648)
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- August 2017 (Revised December 2018)
- Case
Tamarin App: Natural Language Processing
By: Srikant M. Datar and Caitlin N. Bowler
In this case, students explore the challenges of using sentiment analysis to monitor and understand public perception around a software application, Tamarin SEO App. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis This...
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Keywords:
Data Science;
Branding;
Data Analytics;
Analytics and Data Science;
Brands and Branding;
Analysis;
Perception;
Planning
Datar, Srikant M., and Caitlin N. Bowler. "Tamarin App: Natural Language Processing." Harvard Business School Case 118-015, August 2017. (Revised December 2018.)
- 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...
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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.)
- Research Summary
Ethics & Politics of Emerging Technologies
In this stream of research, my collaborators and I investigate the ethical, political, and social implications of computational technologies.
In this work, I often collaborate with academic colleagues in computer science by helping to...
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- fall 2002
- Article
Science and Medicine in Court: Expert Testimony in the German Thalidomide Trial
By: Arthur A. Daemmrich
Daemmrich, Arthur A. "Science and Medicine in Court: Expert Testimony in the German Thalidomide Trial." Chemical Heritage, no. 20 (fall 2002): 12–13, 28–33.
- March 1979
- Book Review
The Use, Non-Use, and Abuse of Social Science Knowledge: A Review Essay
By: Rohit Deshpandé
Deshpandé, Rohit. "The Use, Non-Use, and Abuse of Social Science Knowledge: A Review Essay." Knowledge 1, no. 1 (March 1979): 164–176.
- 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....
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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 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...
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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...
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Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
- 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...
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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.)
- 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.
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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).
- 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).
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- March 2022 (Revised July 2022)
- 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...
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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 July 2022.)
- Teaching Interest
Overview
Erin has served as a teaching assistant in seven different courses at Harvard University since 2008. She has taught courses at both the undergraduate level and the graduate level. She most recently was a teaching assistant for HPM 539: Organizational Behavior, taught...
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- 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...
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Keywords:
by Carmen Nobel
- 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).