Publications

25 Feb 2019
Blog Post

An Inside Look at the MS/MBA: Engineering Sciences Program - Facebook Live

A live conversation on the MS/MBA: Engineering Sciences joint degree program at Harvard Business School and the Harvard John A. Paulson School of Engineering and Applied Sciences, with HBS Professor Tom Eisenmann, Director of Joint Degree Programs Jill Fadule, and... View Details

April 2022
Teaching Note

Shanghai Pudong Science and Technology Investment Co., Ltd.: December 2014

By: Josh Lerner

Teaching Note for HBS Case No. 822-111. View Details

December 1988
Case

Monsanto Co.: Control of R&D at the Animal Sciences Division

Find at Harvard

16 Sep 2008
News

Prof. Emeritus Gerald Zaltman Honored for Contributions to Marketing Science

28 Jun 2023

Female and Focused on STEM - Inside the MS/MBA Engineering Sciences Program at Harvard

Get ready to be inspired as we bring together a remarkable panel of female current students and alumni from the Harvard MS/MBA Engineering Sciences Program for a virtual Q&A. Whether you are a current STEM undergraduate student, an... View Details

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... View Details

Keywords: Behavioral Science; Policy-making; Environmental Policy; Politics

1999
Chapter

Maritime Innovation and Nautical Science in the Early Modern World

By: Caroline M. Elkins

March 2011 (Revised June 2012)
Case

Office of Technology Transfer - Shanghai Institutes for Biological Sciences

By: Willy Shih, Sen Chai, Kamen Bliznashki and Courtney Hyland

Gordon Zong is trying to teach Chinese universities and research institutes how to do effective technology transfer and IP licensing, but he is trying to do it in an environment with weak property rights and an underdeveloped support infrastructure. As the managing... View Details

Keywords: Multinational Firms and Management; Patents; Knowledge Management; Law Enforcement; Business and Government Relations; Research and Development; Biotechnology Industry; Pharmaceutical Industry; China

26 Jun 2023
News

The Science Of Failing Well, According To Author Amy Edmondson

May 2013
Teaching Plan

China Novartis Institute for Biomedical Research: Building a Sustainable, Globally Integrated Research Enterprise

By: Vicki Sato and Annelena Lobb

Keywords: Life Sciences; Biomedical Research; Global Strategy; Pharmaceutical Industry; China

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

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

Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis

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

Keywords: Clustering; Data Science; Analytics and Data Science; Customers; Marketing; Analysis