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  • All HBS Web  (7,600)
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Show Results For

  • All HBS Web  (7,600)
    • People  (3)
    • News  (1,354)
    • Research  (5,010)
    • Events  (123)
    • Multimedia  (55)
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← Page 18 of 7,600 Results →
  • 15 Oct 2009
  • Other Presentation

Growing Successful Inner City Businesses: Findings From A Decade of ICIC Data

By: Michael E. Porter
Dr. Michael Porter: Inner City Economic Forum Summit 2009 View Details
Keywords: Economics; Growth and Development; United States
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Porter, Michael E. "Growing Successful Inner City Businesses: Findings From A Decade of ICIC Data." Inner City Economic Summit, Initiative for a Competitive Inner City, Washington, DC, October 15, 2009.
  • May 1986
  • Case

Data Administration in Citibank Brazil (D): Implementation of the Central Liabilities Pilot

By: Shoshana Zuboff
Keywords: Banks and Banking; Information Management; Banking Industry; Brazil
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Zuboff, Shoshana. "Data Administration in Citibank Brazil (D): Implementation of the Central Liabilities Pilot." Harvard Business School Case 486-112, May 1986.
  • 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.
  • 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... 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).
  • May 2018
  • Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
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Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
  • 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

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).
  • August 2020
  • Case

Chesapeake Conservancy: Democratizing Data to Protect 30% of the Planet by 2030

By: Lynda M. Applegate and Ankita Panda
Citation
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Applegate, Lynda M., and Ankita Panda. "Chesapeake Conservancy: Democratizing Data to Protect 30% of the Planet by 2030." Harvard Business School Case 821-017, August 2020.
  • 1998
  • Working Paper

The Consequences of Labour Market Flexibility: Panel Evidence Based on Survey Data

By: Rafael Di Tella and Robert MacCulloch
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Di Tella, Rafael, and Robert MacCulloch. "The Consequences of Labour Market Flexibility: Panel Evidence Based on Survey Data." Harvard Business School Working Paper, No. 99-065, December 1998.
  • 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
  • 28 Nov 2016
  • News

One Obstacle to Curing Cancer

Keywords: cancer; data sharing; precision medicine; healthcare; technology; Ambulatory Health Care Services; Health, Social Assistance
  • July 2021
  • Article

Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time

By: Sam Ransbotham, Eric Overby and Michael C. Jernigan
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details
Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry
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Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.

    Rethinking the Profession Formerly Known as Advertising: How Data Science Is Disrupting the Work of Agencies

    Speaker's Box, Journal of Advertising Research
    “Speaker’s Box” invites academics and practitioners to identify potential areas of research affecting marketing and advertising. Its intention is to bridge the gap between the length... View Details
    • June 2012
    • Article

    A Reexamination of Tunneling and Business Groups: New Data and New Methods

    By: Jordan I. Siegel and Prithwiraj Choudhury
    One of the most rigorous methodologies in the corporate governance literature uses firms' reactions to industry shocks to characterize the quality of governance. This methodology can produce the wrong answer unless one considers the ways firms compete. Because... View Details
    Keywords: Governance; System Shocks; India
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    Siegel, Jordan I., and Prithwiraj Choudhury. "A Reexamination of Tunneling and Business Groups: New Data and New Methods." Review of Financial Studies 25, no. 6 (June 2012).
    • Article

    Ensembles of Overfit and Overconfident Forecasts

    By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
    Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
    Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets
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    Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
    • Article

    International Data on Measuring Management Practices

    By: Nicholas Bloom, Renata Lemos, Raffaella Sadun, Daniela Scur and John Van Reenen
    We examine methods used to survey firms on their management and organizational practices. We contrast the strengths and weaknesses of "open-ended questions" (e.g., World Management Survey) with "closed questions" (e.g., Management and Organizational Practices Surveys).... View Details
    Keywords: Surveys; Strength and Weakness; Management Practices and Processes
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    Bloom, Nicholas, Renata Lemos, Raffaella Sadun, Daniela Scur, and John Van Reenen. "International Data on Measuring Management Practices." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 152–156.
    • November 1999 (Revised May 2000)
    • Supplement

    Data Supplement: Post-War US Economic Statistics

    By: Julio J. Rotemberg and Cherie Nursalim
    Supplements Tax Cut of 1964 (9-382-078), Nixon's Economic Strategy--1969 (8-378-258), and The Reagan Plan (9-381-173). View Details
    Keywords: History; Sovereign Finance; Development Economics; Mathematical Methods; Taxation; Policy; Government Administration; Macroeconomics; United States
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    Rotemberg, Julio J., and Cherie Nursalim. "Data Supplement: Post-War US Economic Statistics." Harvard Business School Supplement 700-070, November 1999. (Revised May 2000.)
    • 16 Oct 2019
    • Working Paper Summaries

    Core Earnings? New Data and Evidence

    Keywords: by Ethan Rouen, Eric So, and Charles C.Y. Wang
    • 26 Feb 2014
    • News

    Big Data in the Driver's Seat

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