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  • October–December 2022
  • Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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  • 28 Feb 2018
  • HBS Seminar

Kartik Hosanagar, Wharton, University of Pennsylvania

    Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

    Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details
    • 22 May 2019
    • Blog Post

    What is FIELD Global Immersion?

    to travel based on where their home country is, and where they have extensive travel or professional experience. With these considerations in mind, country and team assignments (aka: Global Section assignments) are made via an algorithm... View Details
    • 2021
    • Article

    To Thine Own Self Be True? Incentive Problems in Personalized Law

    By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
    Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
    Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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    • 07 Feb 2022
    • Research & Ideas

    Digital Transformation: A New Roadmap for Success

    algorithms can lead to unintended bias that harms certain employees and customers, and the company’s reputation (a bias story can go viral on social media within minutes). 5. Design for inclusive and agile problem-solving As they become... View Details
    Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards
    • 19 Jan 2023
    • Research & Ideas

    What Makes Employees Trust (vs. Second-Guess) AI?

    When an algorithm recommends ways to improve business outcomes, do employees trust it? Conventional wisdom suggests that understanding the inner workings of artificial intelligence (AI) can raise confidence in such programs. Yet, new... View Details
    Keywords: by Rachel Layne
    • 29 Apr 2013
    • Working Paper Summaries

    Exclusive Preferential Placement as Search Diversion: Evidence from Flight Search

    Keywords: by Benjamin G. Edelman & Zhenyu Lai; Publishing; Technology
    • July 2013 (Revised August 2017)
    • Case

    TaKaDu

    By: Elie Ofek and Matthew Preble
    In December 2012, Amir Peleg, founder and CEO of TaKaDu, reflected on how to position his young firm for the next fiscal year and beyond. The small Israeli startup had developed an innovative software system that used patented algorithms and statistical analysis to... View Details
    Keywords: Innovation; Customer Selection; Business Marketing; High-tech Marketing; Enterprise Resource Planning; Water Resources; Water Management; Utilities; Product Positioning; Expansion; Resource Allocation; Applications and Software; Entrepreneurship; Business Startups; Business Strategy; Innovation and Invention; Growth and Development Strategy; Utilities Industry; Australia; Israel
    Related
    • 18 Feb 2025
    • HBS Seminar

    Andrey Simonov, Columbia University

    • 01 Dec 2023
    • News

    Thinking Ahead

    As we wind down 2023, there’s talk everywhere of generative AI and how it will fundamentally alter the world as we know it; but how does that translate for your corner of the business world? Is TikTok something you need to take seriously? (Is it time to dance?) We... View Details
    Keywords: Julia Hanna; Illustrations by Chris Gash; News, Library, Internet, and Other Services; Information
    • 10 Feb 2020
    • In Practice

    6 Ways That Emerging Technology Is Disrupting Business Strategy

    Economic Research. 3. Algorithms are changing the pricing game   “Firms are increasingly using pricing algorithms to set prices, especially in online markets. Pricing View Details
    Keywords: by Danielle Kost
    • 20 Aug 2013
    • First Look

    First Look: August 20

    Lakhani, and Michael E. Menietti Abstract—Tournaments are widely used in the economy to organize production and innovation. We study individual contestant-level data from 2,796 contestants in 774 software algorithm design contests with... View Details
    Keywords: Anna Secino
    • 03 Jan 2017
    • First Look

    January 3, 2017

    Winter 2017 MIT Sloan Management Review Why Big Data Isn't Enough By: Chai, Sen, and Willy C. Shih Abstract—There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any... View Details
    Keywords: Carmen Nobel
    • Web

    Entrepreneurship - Faculty & Research

    Research Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented... View Details
    • 23 Jul 2013
    • First Look

    First Look: July 23

    restaurant reviews with Yelp's algorithmic indicator of fake reviews. Using this imperfect indicator as a proxy, we develop an empirical methodology to identify the points in the life cycle of a business during which review fraud is most... View Details
    Keywords: Anna Secino
    • 24 Feb 2016
    • HBS Seminar

    David Brumley of Carnegie Mellon University

    • Article

    Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials

    By: Caroline Marra, William J. Gordon and Ariel Dora Stern
    Objectives: In an effort to mitigate COVID-19 related challenges for clinical research, the U.S. Food and Drug Administration (FDA) issued new guidance for the conduct of ‘virtual’ clinical trials in late March 2020. This study documents trends in the use of... View Details
    Keywords: Connected Digital Products; Telehealth; Remote Monitoring; Health Testing and Trials; Research; Governing Rules, Regulations, and Reforms; Information Technology
    Related
    • January 2021
    • Case

    Anodot: Autonomous Business Monitoring

    By: Antonio Moreno and Danielle Golan
    Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product... View Details
    Keywords: Digital Platforms; Internet and the Web; Knowledge Sharing; Information Management; Sales; Value Creation; Product Positioning; Israel
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    • Web

    2023 Reunion Presentations - Alumni

    session will be published soon. CASE STUDY: The Dark Side of AI: Algorithmic Bias and Discrimination Associate Professor Ayelet Israeli + More Info – Less Info This modified case discussion does not require pre-reading. Digitalization and... View Details