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  • All HBS Web  (1,492)
    • News  (192)
    • Research  (1,062)
    • Events  (20)
    • Multimedia  (8)
  • Faculty Publications  (662)

Show Results For

  • All HBS Web  (1,492)
    • News  (192)
    • Research  (1,062)
    • Events  (20)
    • Multimedia  (8)
  • Faculty Publications  (662)
← Page 17 of 1,492 Results →
  • 2018
  • Book

The Gift of Global Talent: How Migration Shapes Business, Economy & Society

By: William R. Kerr
The global race for talent is on, with countries and businesses competing for the best and brightest. Foreign talent has transformed U.S. science and engineering, reshaped the economy, and influenced society at large. But America is bogged down in thorny debates on... View Details
Keywords: Immigration; Policy; Labor; Economy; Talent and Talent Management; United States
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Kerr, William R. The Gift of Global Talent: How Migration Shapes Business, Economy & Society. Stanford, CA: Stanford Business Books, 2018.

    Jerry R. Green

    Jerry R. Green

    David A. Wells Professor of Political Economy

    John Leverett Professor in the University

    Harvard University

     

    Jerry Green is the John Leverett Professor in the University and the David A. Wells... View Details

    Keywords: aerospace; education industry; insurance industry; professional services
    • Article

    The Importance of Being Causal

    By: Iavor I Bojinov, Albert Chen and Min Liu
    Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
    Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
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    Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).

      Trends and Predictors of Biomedical Research Quality, 1990-2015

      This work leverages the strengths of expert human assessments of randomized controlled trials (RCTs) included in Cochrane reviews with data science techniques to build a comprehensive database on biomedical research quality. The data links the full-text and... View Details

      • Article

      Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

      By: J. Peter Scoblic
      Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
      Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
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      Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
      • Research Summary

      Performance Impact of Continuous Replenishment Systems

      By: Janice H. Hammond
      Janice H. Hammond has conducted (with Ted Clark of Hong Kong University of Science and Technology) a survey of U.S. retailers to determine how the implementation of continuous replenishment programs between manufacturers and retailers affects supply channel... View Details
      • Teaching Interest

      Applied Business Analytics

      Course Overview:

      Business Analytics has become a core function in many firms today and is driving innovation in the form of new business and operating models. Data-driven decision-making requires understanding of statistics, computer... View Details

      • 14 Jul 2023
      • Blog Post

      Harvard Business School Announces Its 2023-2024 Blavatnik Fellows

      synthetic biology and data science company that’s digitizing taste and smell. Morgan previously ran business development and fundraising at Trellis Bioscience, a clinical-stage Series C startup developing... View Details
      • July–August 2021
      • Article

      Why You Aren't Getting More from Your Marketing AI

      By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
      Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
      Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
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      Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.

        The Gift of Global Talent

        The global race for talent is on, with countries and businesses competing for the best and brightest. Foreign talent has transformed U.S. science and engineering, reshaped the economy, and influenced society at large. But America is bogged down in thorny debates on... View Details

          Why You Aren’t Getting More from Your Marketing AI - HBR

          Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the... View Details

            Importance of Being Causal

            Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized... View Details

            • May 2016 (Revised April 2018)
            • Case

            Building the Digital Manufacturing Enterprise of the Future at Siemens

            By: Willy Shih
            This case describes the motivation for and the development of Siemens' digital manufacturing enterprise vision, which became the foundation for its implementation of Industrie 4.0. While the effort started with a purely defensive move by Anton Huber, head of the... View Details
            Keywords: Big Data; Internet Of Things; Internet Of Everything; Industrie 4.0; Digital Factory; Digital Enterprise; Digital Manufacturing; Manufacturing; Production Management; Production Planning; Computer Software; Germany; German Manufacturing; Machinery and Machining; Information Technology; Digital Platforms; Technological Innovation; Production; Supply Chain; Applications and Software; Information Infrastructure; Internet and the Web; Analytics and Data Science; Manufacturing Industry; Germany
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            Shih, Willy. "Building the Digital Manufacturing Enterprise of the Future at Siemens." Harvard Business School Case 616-060, May 2016. (Revised April 2018.)
            • Career Coach

            Alan Braly

            strategies, and product roadmaps in areas of innovation with a current emphasis on oncology data science and data products. Along the way, he has been a leader, manager,... View Details
            • 21 Sep 2023
            • HBS Seminar

            Pinar Ozcan, Saïd Business School

            • October 2021 (Revised February 2022)
            • Case

            Newsweek: Driving a Digital First Strategy

            By: Lynda M. Applegate and Suraj Srinivasan
            The case describes the transformation at Newsweek, the storied news magazine that had fallen from its commanding position as a premier print publication unable to find its footing in the fast changing digital media landscape. After buying Newsweek and taking over as... View Details
            Keywords: Transformation; Strategy; Internet and the Web; Analytics and Data Science; Performance Evaluation; Partners and Partnerships
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            Applegate, Lynda M., and Suraj Srinivasan. "Newsweek: Driving a Digital First Strategy." Harvard Business School Case 822-052, October 2021. (Revised February 2022.)
            • 2012
            • Article

            Exploring Re-Identification Risks in Public Domains

            By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle
            While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two... View Details
            Keywords: Safety; Analytics and Data Science; Social and Collaborative Networks
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            Ramachandran, Aditi, Lisa Singh, Edward Porter, and Frank Nagle. "Exploring Re-Identification Risks in Public Domains." Proceedings of the Annual International Conference on Privacy, Security, and Trust (2012).

              Srikant M. Datar

              Srikant M. Datar became the eleventh dean of Harvard Business School on 1 January 2021. During his tenure as a faculty member, he served as Senior Associate Dean for University Affairs (including Faculty Chair of the Harvard Innovation Lab), for Research, for... View Details

              Keywords: accounting industry; airline; automobiles; banking; biotechnology; communications; consumer products; e-commerce industry; health care; high technology; investment banking industry; management consulting; manufacturing; pharmaceuticals; venture capital industry

                Lauren H. Cohen

                Lauren Cohen is the L.E. Simmons Professor in the Finance & Entrepreneurial Management Units at Harvard Business School and a Research Associate at the National Bureau of Economic Research. He is an Editor of the Review of Financial... View Details

                Keywords: asset management; brokerage; financial services; federal government; investment banking industry; state government
                • 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.
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