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  • All HBS Web  (6,895)
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Show Results For

  • All HBS Web  (6,895)
    • News  (1,270)
    • Research  (4,436)
    • Events  (116)
    • Multimedia  (73)
  • Faculty Publications  (3,068)
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  • January 2018 (Revised November 2018)
  • Case

Acumen and Lean Data 2018

By: Shawn Cole, V. Kasturi Rangan, Alnoor Ebrahim and Caitlin Reimers Brumme
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Cole, Shawn, V. Kasturi Rangan, Alnoor Ebrahim, and Caitlin Reimers Brumme. "Acumen and Lean Data 2018." Harvard Business School Case 218-086, January 2018. (Revised November 2018.)
  • 20 Sep 2014
  • News

Making Big Data Think Bigger

  • Web

Data Storage - Research Computing Services

Compute Cluster and Data Storage Data Storage 3ms There are three different sets of storage locations that are available for research work, depending on the particular usage patterns, size consideration, and... View Details
  • Web

Transferring Data - Research Computing Services

Data Practices Transferring Data 10ms Transferring data to and from your analysis environments is now a more challenging endeavor due to a number of factors, including... View Details
  • Web

Data - Behavioral Finance & Financial Stability

Data The BFFS Project maintains and disseminates datasets produced by active faculty affiliated with the project. Select your area of interest by topic area below for visualizations and access to excel downloads. If you have any questions... View Details
  • December 2011
  • Article

Data Impediments to Empirical Work on Health Insurance Markets

By: Leemore S. Dafny, David Dranove, Frank Limbrock and Fiona Scott Morton
We compare four datasets that researchers might use to study competition in the health insurance industry. We show that the two datasets most commonly used to estimate market concentration differ considerably from each other (both in levels and in changes over time),... View Details
Keywords: Competition; Analytics and Data Science; Market Participation; Insurance Industry
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Dafny, Leemore S., David Dranove, Frank Limbrock, and Fiona Scott Morton. "Data Impediments to Empirical Work on Health Insurance Markets." B.E. Journal of Economic Analysis & Policy 11, no. 2 (December 2011).
  • September 2016 (Revised May 2018)
  • Case

Zurich Insurance: Global Job Structure and Data Analysis

By: Boris Groysberg and Katherine Connolly
Zurich Insurance was undergoing organizational change after implementing five new people practices focused on manager development, diversity and inclusion, job model and data analytics, recruitment, and talent pipeline. The case “Zurich Insurance: Fostering Key People... View Details
Keywords: Managing Change; Organizational Behavior; Organizational Architecture; Organizational Change and Adaptation; Leadership; Human Capital; Change Management; Organizational Structure; Insurance; Organizational Culture; Globalization; Human Resources; Insurance Industry
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Groysberg, Boris, and Katherine Connolly. "Zurich Insurance: Global Job Structure and Data Analysis." Harvard Business School Case 417-038, September 2016. (Revised May 2018.)
  • 16 Nov 2010
  • Lessons from the Classroom

Data.gov: Matching Government Data with Rapid Innovation

Obama-to move government data to the Web-lead to public benefits much faster? Data.gov, the subject of a new HBS case study, taught for the first time this summer, highlights the potential of raw data to... View Details
Keywords: by Martha Lagace; Technology
  • 11 Oct 2018
  • News

Baseball’s Billy Beane Shows Companies the Power of Data

  • Web

Data - Institute For Strategy And Competitiveness

HBS ISC Resources Resources Video Courses Data Events & Presentations Frameworks News Publications Data Data Resources U.S. Cluster Mapping The Cluster Mapping Project... View Details
  • 2023
  • Working Paper

Feature Importance Disparities for Data Bias Investigations

By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • 21 Jun 2017
  • News

A New Approach to Safely Sharing Cancer Patients’ Data

  • 17 May 2007
  • Working Paper Summaries

The Price of Capital: Evidence from Trade Data

Keywords: by Laura Alfaro & Faisal Z. Ahmed
  • November 1998
  • Article

Modeling Large Data Sets in Marketing

By: Sridhar Balasubramanian, Sunil Gupta, Wagner Kamakura and Michel Wedel
Keywords: Analytics and Data Science; Marketing
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Balasubramanian, Sridhar, Sunil Gupta, Wagner Kamakura, and Michel Wedel. "Modeling Large Data Sets in Marketing." Special Issue on Large Data Sets in Business Economics. Statistica Neerlandica 52, no. 3 (November 1998).
  • Fast Answer

Health: data by country and disease

Where to find health data by country & disease? You may begin with: Statista - quick statistics and articles related to the topic View Details
  • Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
  • November 2023
  • Article

Federated Electronic Health Records for the European Health Data Space

By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
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Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
  • Article

Some Uses of Happiness Data in Economics

By: Rafael Di Tella and Robert MacCulloch
Keywords: Happiness; Analytics and Data Science; Economics
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Di Tella, Rafael, and Robert MacCulloch. "Some Uses of Happiness Data in Economics." Journal of Economic Perspectives 20, no. 1 (Winter 2006): 25–46.
  • 2024
  • Working Paper

Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP

We delineate a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995) style estimates of differentiated products demand systems. We extend recommended practices... View Details
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Conlon, Chris, and Jeff Gortmaker. "Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP." Working Paper, September 2024.
  • 16 Oct 2019
  • Working Paper Summaries

Core Earnings? New Data and Evidence

Keywords: by Ethan Rouen, Eric So, and Charles C.Y. Wang
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