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  • All HBS Web  (5,803)
    • People  (4)
    • News  (1,257)
    • Research  (3,428)
    • Events  (83)
    • Multimedia  (191)
  • Faculty Publications  (2,840)

Show Results For

  • All HBS Web  (5,803)
    • People  (4)
    • News  (1,257)
    • Research  (3,428)
    • Events  (83)
    • Multimedia  (191)
  • Faculty Publications  (2,840)
← Page 22 of 5,803 Results →
  • 2019
  • Chapter

Poor Mao's Almanack? Empire, Political Economy, and the Transformation of Social Science

By: Sophus A. Reinert
Citation
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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
Citation
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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.)
  • 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
Citation
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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.)
  • 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
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Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
  • 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
  • 15 Sep 2010
  • Working Paper Summaries

From Bench to Board: Gender Differences in University Scientists’ Participation in Commercial Science

Keywords: by Waverly W. Ding, Fiona Murray & Toby E. Stuart; Biotechnology
  • 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
Citation
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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

  • 20 Oct 2020
  • News

HBS and Harvard’s Department of Stem Cell and Regenerative Biology Receive $25 Million Gift from The Chris and Carrie Shumway Foundation to Support Leadership in Life Sciences

  • 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
Citation
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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.)
  • 01 Sep 2017
  • News

@Soldiers Field

Program—has been offered under the auspices of the School’s US Competitiveness Project. HBS launched a new joint master’s degree program in partnership with the Harvard John A. Paulson School of Engineering and Applied Sciences, which will confer an MBA and a Master of... View Details
Keywords: YALP; Engineering Sciences; sculpture; Colleges, Universities, and Professional Schools; Educational Services
  • 28 Sep 2021
  • News

HBS Club of London: David Halpern on How to Apply Behavioural Science to Behavior

  • March 2022
  • Article

Developing Strategic Human Resource Theory and Making a Difference: An Action Science Perspective

By: Michael Beer
Citation
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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).
  • 02 Oct 2023
  • News

Arthur Brooks: The Science of Happiness, How to Build the Life You Want

  • 05 Sep 2023
  • News

The Science of Failure—Right Kind of Wrong With Harvard Business School’s Amy Edmondson

  • 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
  • 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).
  • 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
  • August 2021
  • Case

Precision Paint Co.

By: Iavor I. Bojinov, Chiara Farronato, Janice H. Hammond, Michael Parzen and Paul Hamilton
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
Keywords: Regression; Prediction; Forecasting; Data Science; Analysis; Forecasting and Prediction
Citation
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Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.
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