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  • 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
Related
  • March 2020
  • Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
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    Jeremy Yang

    Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for... View Details
    Keywords: advertising; media; entertainment; information; consumer products
    • Research Summary

    Overview

    Paul is primarily interested in studying explainable machine learning (ML), digital transformation, and data science operations. He works on research that explores how stakeholders within organizations can use machine learning to make better decisions. In particular,... View Details
    • 03 Jun 2021
    • News

    Insurance to Mitigate the Risk of AI Systems Coming into View

      Jeff Fossett

      Jeff Fossett is a doctoral student in the Technology and Operations Management Unit at Harvard Business School. He is interested in economic and policy questions related to technology platforms and online marketplaces. Previously, Jeff was a member of the Data Science... View Details
      Keywords: information technology industry
      • Teaching Interest

      Overview

      I am passionate about teaching across a number of topics, most recently Data Science and Probability. Details on my graduate teaching experience can be found on my personal webpage. View Details
      • 16 Nov 2020
      • Blog Post

      Flatiron School: Reflections from Summer 2020

      In the summer of 2020, HBS Career & Professional Development (CPD) partnered with Flatiron School to provide students with an opportunity to gain practical skills, statistics fundamentals, and real-life data View Details
      Keywords: All Industries

        Edward McFowland III

        Edward McFowland III is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. He teaches the first-year TOM course in the required curriculum.

        Professor McFowland’s research interests – which lie at the... View Details

        • August 2018 (Revised October 2019)
        • Case

        C3.ai—Driven to Succeed

        By: Robert Simons and George Gonzalez
        CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
        Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
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          Himabindu Lakkaraju

          Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details

          • 24 Oct 2017
          • News

          Change Management Is Becoming Increasingly Data-Driven. Companies Aren’t Ready

          • 2023
          • Working Paper

          Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

          By: Daniel Yue, Paul Hamilton and Iavor Bojinov
          Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
          Keywords: Analytics and Data Science
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          • 27 Jul 2020
          • Working Paper Summaries

          Gender Inequality in Research Productivity During the COVID-19 Pandemic

          Keywords: by Ruomeng Cui, Hao Ding, and Feng Zhu

            Seth Neel

            Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Affiliate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details
            • TeachingInterests

            Leading with People Analytics; HBS MBA Elective; 2021

            • Teaching fellow for course on using data science to make decisions about people, such as hiring, firing, promotion, team composition, etc. 
            • Led weekly student review sessions teaching statistics and the R... View Details

              Yajun Cao

              Yajun Cao is a doctoral student in Organizational Behavior (Micro) at Harvard Business School. His research focuses on emotion regulation, setbacks, and resilience, aiming to understand how individuals and groups bounce back and grow from negative events. He explores... View Details
              • September 2016 (Revised March 2017)
              • Module Note

              Strategy Execution Module 3: Using Information for Performance Measurement and Control

              By: Robert Simons
              This module reading explains how managers use information to control critical business processes and outcomes. The analysis begins by illustrating how managers use information to communicate goals and track performance. Then the focus turns to the choices that managers... View Details
              Keywords: Management Control Systems; Implementing Strategy; Strategy Execution; Organization Process; Feedback Model; Innovation; Uses Of Information; Big Data; Benchmarking; Decision Making; Information; Performance Evaluation; Analytics and Data Science
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                Jacqueline Ng Lane

                Jackie Lane is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School and a co-Principal Investigator of the Laboratory for Innovation Science at Harvard (LISH) at the Digital Data Design Institute (D^3) at Harvard. She... View Details

                  Ayelet Israeli

                  Ayelet Israeli is the Marvin Bower Associate Professor of Business Administration at the Harvard Business School Marketing Unit. She is the co-founder of the Customer Intelligence Lab at the Digital Data Design (D^3) Institute at Harvard Business School. She teaches... View Details
                  Keywords: retailing; e-commerce industry; internet; automotive