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Publications

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  • All HBS Web  (1,720)
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    • Research  (1,050)
    • Events  (15)
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Show Results For

  • All HBS Web  (1,720)
    • People  (9)
    • News  (316)
    • Research  (1,050)
    • Events  (15)
    • Multimedia  (10)
  • Faculty Publications  (863)
← Page 40 of 1,720 Results →
  • February 2022 (Revised January 2024)
  • Supplement

Winning Business at Russell Reynolds (C)

By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and... View Details
Keywords: Restructuring; Talent and Talent Management; Compensation and Benefits; Growth and Development Strategy; Organizational Change and Adaptation; Organizational Culture; Performance Evaluation; Motivation and Incentives; Consulting Industry
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Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (C)." Harvard Business School Spreadsheet Supplement 422-703, February 2022. (Revised January 2024.)
  • Research Summary

Capitalism as a System of Governance

My research interest is in further exploration of the analytic utility of an original conception of capitalism as an indirect, three level system of governance for the economic relationships within political entities, and mostly within nation states. This three level... View Details
  • Research Summary

Overview

By: Matthew C. Weinzierl

My academic research centers on uncovering and closing gaps between the theory and reality of tax policy. My main contribution has been to identify and address a mismatch between the goals for taxation typically assumed in theory and the goals the public and... View Details

  • Research Summary

Supply Chain Inventory Planning

My work studies management decision-making in demand and supply planning contexts with a focus on forecasting and inventory planning decisions.  I examine these decision-making processes from both a supply chain (i.e. across firm) and an... View Details

  • Person Page

Course Development

By: Debora L. Spar

Managing International Trade and Investment

Despite the ease with which it is often conducted, doing business across borders is not the same as doing it at home. Rather, it entails a whole new set of managerial challenges: re-assessing competitive... View Details

  • Sep 08 2016
  • Testimonial

Aligning Your Company's Strategy

  • Aug 29 2019
  • Testimonial

Exploring the Nature of Leadership

  • Article

Fast Generalized Subset Scan for Anomalous Pattern Detection

By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
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McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.
  • 25 Aug 2017
  • Blog Post

HBS Interns: Summer Takeovers

in technology at the Sephora Innovation Lab. Jenn researched the impacts of artificial intelligence on the retail industry and participated in idea hackathons to brainstorm creative new ways for the brand to innovate. Adam Behrens, View Details
Keywords: All Industries
  • July 2024
  • Technical Note

Introduction to SQL in Python

By: Michael Parzen and Jo Ellery
This note walks through the basics of SQL and how to use this language in Python via the SQLite package. View Details
Keywords: Analytics and Data Science
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Parzen, Michael, and Jo Ellery. "Introduction to SQL in Python." Harvard Business School Technical Note 625-024, July 2024.
  • June 2022 (Revised January 2025)
  • Technical Note

Causal Inference

By: Iavor I Bojinov, Michael Parzen and Paul Hamilton
This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details
Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science
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Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Causal Inference." Harvard Business School Technical Note 622-111, June 2022. (Revised January 2025.)
  • October 2017
  • Case

Quantopian: A New Model for Active Management

By: Sara Fleiss, Adi Sunderam, Luis M. Viceira and Caitlin Carmichael
Keywords: Big Data; Hedge Fund; Crowdsourcing; Investment Fund; Quantitative Hedge Fun; Algorithmic Data; Analytics and Data Science
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Fleiss, Sara, Adi Sunderam, Luis M. Viceira, and Caitlin Carmichael. "Quantopian: A New Model for Active Management." Harvard Business School Case 218-046, October 2017.
  • Article

Selecting the Right Growth Metrics: Fewer but Better

By: Leonard A. Schlesinger
Keywords: Supply Chains; Big Data; Corporations; Franchising; Performance Metrics; Analytics and Data Science
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Schlesinger, Leonard A. "Selecting the Right Growth Metrics: Fewer but Better." Stanford Social Innovation Review (website) (April 21, 2017).
  • Sep 23 2015
  • Interview

Interview with Faculty Chair Frank Cespedes

  • November 28, 2017
  • Editorial

Active Investing v.2.0

By: Gabriel Karageorgiou and George Serafeim
Keywords: Investment; Investing; Technology; Big Data; Quantitative Analysis; ESG; ESG (Environmental, Social, Governance) Performance; Sustainability; Analytics and Data Science
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Karageorgiou, Gabriel, and George Serafeim. "Active Investing v.2.0." Pensions & Investments (online) (November 28, 2017).
  • Feb 21 2017
  • Testimonial

Reaching the Next Level

  • 01 Sep 2017
  • News

@Soldiers Field

scuptures on loan to the School’s ongoing contemporary sculpture exhibition. The piece was inspired in part by an essay by Henry David Thoreau, who graduated from Harvard 180 summers ago. HBS will partner with Harvard’s SEAS and Department of Statistics to offer the... View Details
Keywords: YALP; Engineering Sciences; sculpture; Colleges, Universities, and Professional Schools; Educational Services
  • 06 Oct 2011
  • What Do You Think?

How Will the ‘Moneyball Generation’ Influence Management?

Summing Up Should "Moneyball Analytics" Play a Greater Role in Preparation for Management? There was general agreement among respondents to this month's column that we will see a growing emphasis on analytics among managers as... View Details
Keywords: by James Heskett
  • November 1996
  • Article

Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets

By: C. I. Nass and Y. Moon
Keywords: Society; Analytics and Data Science; Information
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Nass, C. I., and Y. Moon. "Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets." Sociological Methods & Research 25, no. 2 (November 1996): 223–247.
  • 2022
  • Article

Towards Robust Off-Policy Evaluation via Human Inputs

By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details
Keywords: Analytics and Data Science; Research
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Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
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