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  • August 2023 (Revised January 2024)
  • Case

Three Vignettes of Early Careers in the Life Sciences

By: Satish Tadikonda, Jacqueline Grant and William Marks
The case showcases three vignettes of career choice scenarios facing new graduates. How one navigates and handles these situations can have a significant impact on careers overall, with each vignette representing a situation likely to be experienced by most students in... View Details
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Tadikonda, Satish, Jacqueline Grant, and William Marks. "Three Vignettes of Early Careers in the Life Sciences." Harvard Business School Case 824-054, August 2023. (Revised January 2024.)
  • 02 Mar 2025
  • News

Alison Wood Brooks On The Science Of Great Conversations

  • 05 Jan 2021
  • News

Using Behavioral Science to Improve Well-Being for Social Workers

  • 14 Jun 2025
  • Video

Right Kind of Wrong: The Science of Failing Well

  • 19 May 2021
  • HBS Seminar

Rocco Macchiavello, London School of Economics and Political Science

  • 02 Dec 2020
  • HBS Seminar

Oriana Bandiera, London School of Economics and Political Science

    President's Council of Advisors on Science and Technology Panel

    • 07 Sep 2016
    • News

    HBS Names 2016-2017 Blavatnik Fellows in Life Science Entrepreneurship

    Keywords: Blavatnik; Scientific Research and Development Services
    • 12 Sep 2003
    • News

    Remarks of President Lawrence H. Summers at the Massachusetts Life Sciences Summit

      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
      • 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
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      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.
      • 2022
      • Chapter

      Sustainability Science and Corporate Cleanup in Community Fields: The Translation, Resistance and Integration Process Model

      By: P. Devereaux Jennings, Maggie Cascadden and Andrew J. Hoffman
      Both practically and theoretically, the sustainability science and corporate operation perspectives often diverge. Overcoming this divergence requires some degree of engagement with organizational field members; not just negotiation, but on-the-ground process work to... View Details
      Keywords: Environmental Sustainability; Business Processes; Science-Based Business; Research
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      Jennings, P. Devereaux, Maggie Cascadden, and Andrew J. Hoffman. "Sustainability Science and Corporate Cleanup in Community Fields: The Translation, Resistance and Integration Process Model." Chap. 12 in Handbook on the Business of Sustainability: The Organization, Implementation, and Practice of Sustainable Growth, edited by Gerard George, Martine Haas, Havovi Joshi, Anita McGahan, and Paul Tracey, 214–231. Edward Elgar Publishing, 2022.
      • 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
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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... View Details
      Keywords: Clustering; Data Science; Analytics and Data Science; Customers; Marketing; Analysis
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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.)
      • 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... View Details
      Keywords: Higher Education; Engineering; Personal Development and Career; Science; Finance
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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.)
      • 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
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised January 2025.)
      • 1999
      • Chapter

      Maritime Innovation and Nautical Science in the Early Modern World

      By: Caroline M. Elkins
      Citation
      Related
      Elkins, Caroline M. "Maritime Innovation and Nautical Science in the Early Modern World." In The Heritage Of World Civilizations. 5th ed., edited by Albert M. Craig, William A. Graham, Donald M. Kagan, Stephen Ozment, and Frank M. Turner. Upper Saddle River, NJ: Prentice Hall, 1999.
      • 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
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      Shih, Willy, Sen Chai, Kamen Bliznashki, and Courtney Hyland. "Office of Technology Transfer - Shanghai Institutes for Biological Sciences." Harvard Business School Case 611-057, March 2011. (Revised June 2012.)
      • 26 Jun 2023
      • News

      The Science Of Failing Well, According To Author Amy Edmondson

      • September 1, 2015
      • Article

      Should Governments Nudge Us to Make Good Choices?

      By: Jon M. Jachimowicz and Sam McNerney
      Keywords: Behavioral Science; Government
      Citation
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      Jachimowicz, Jon M., and Sam McNerney. "Should Governments Nudge Us to Make Good Choices?" Scientific American Mind (September 1, 2015).
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