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  • All HBS Web  (2,883)
    • News  (476)
    • Research  (2,211)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,423)

Show Results For

  • All HBS Web  (2,883)
    • News  (476)
    • Research  (2,211)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,423)
← Page 6 of 2,883 Results →
  • May 2022
  • Article

Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks

By: Dan Amiram, Evgeny Lyandres and Daniel Rabetti
This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers. The... View Details
Keywords: Blockchain; Bitcoin; Accounting; AI and Machine Learning; National Security; Governing Rules, Regulations, and Reforms
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Amiram, Dan, Evgeny Lyandres, and Daniel Rabetti. "Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks." Journal of Accounting Research 60, no. 2 (May 2022): 427–466.

    Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks

    This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers.... View Details
    • 26 Jun 2014
    • News

    Shifting toward Defined Contributions — Predicting the Effects

    • 11 Mar 2014
    • News

    Health companies eye predictive software for patient care

    • 04 Dec 2013
    • News

    Economic Prediction Made Us (Too) Comfortable With Capitalism

    • 11 Oct 2009
    • News

    The future of investing: academics predict more complexity

    • 2020
    • Conference Presentation

    Semantic Embeddings of Verbal Descriptions Predict Action Similarity Judgments

    By: L. Tarhan, J. De Freitas, G. A. Alvarez and T. Konkle
    Citation
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    Tarhan, L., J. De Freitas, G. A. Alvarez, and T. Konkle. "Semantic Embeddings of Verbal Descriptions Predict Action Similarity Judgments." Paper presented at the Annual Meeting of the Vision Sciences Society, St. Pete Beach, FL, 2020.
    • 08 Jan 2022
    • News

    Harvard And Stanford Professors Predict The Future Of Work

    • 2011
    • Article

    A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction

    By: Eyal Ert, Ido Erev and Alvin E. Roth
    Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games: one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The... View Details
    Keywords: Forecasting and Prediction; Behavior; Decision Choices and Conditions; Competition; Motivation and Incentives; Game Theory; Fairness
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    Ert, Eyal, Ido Erev, and Alvin E. Roth. "A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 2, no. 3 (September 2011): 257–276.
    • June 2023
    • Article

    When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

    By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
    As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision... View Details
    Keywords: AI and Machine Learning; Decision Making
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    McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Transactions on Machine Learning Research (TMLR) (June 2023).
    • Article

    The Critical Role of Second-order Normative Beliefs in Predicting Energy Conservation

    By: Jon M. Jachimowicz, Oliver P. Hauser, Julia D. O'Brien, Erin Sherman and Adam D. Galinsky
    Sustaining large-scale public goods requires individuals to make environmentally friendly decisions today to benefit future generations. Recent research suggests that second-order normative beliefs are more powerful predictors of behaviour than first-order personal... View Details
    Keywords: Climate Change; Energy; Environmental Sustainability; Household; Behavior; Values and Beliefs; Forecasting and Prediction
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    Jachimowicz, Jon M., Oliver P. Hauser, Julia D. O'Brien, Erin Sherman, and Adam D. Galinsky. "The Critical Role of Second-order Normative Beliefs in Predicting Energy Conservation." Nature Human Behaviour 2, no. 10 (October 2018): 757–764.
    • 30 May 2023
    • News

    Can AI Predict Whether Shoppers Would Pick Crest or Colgate?

    • Article

    Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

    By: Kaivalya Rawal and Himabindu Lakkaraju
    As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
    Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods
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    Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
    • Summer 2021
    • Article

    Predictable Country-level Bias in the Reporting of COVID-19 Deaths

    By: Botir Kobilov, Ethan Rouen and George Serafeim
    We examine whether a country’s management of the COVID-19 pandemic relate to the downward biasing of the number of reported deaths from COVID-19. Using deviations from historical averages of the total number of monthly deaths within a country, we find that the... View Details
    Keywords: COVID-19; Deaths; Reporting; Incentives; Government Policy; Health Pandemics; Health Care and Treatment; Country; Crisis Management; Outcome or Result; Reports; Policy
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    Kobilov, Botir, Ethan Rouen, and George Serafeim. "Predictable Country-level Bias in the Reporting of COVID-19 Deaths." Journal of Government and Economics 2 (Summer 2021).
    • Article

    Physical and Situational Inequality on Airplanes Predict Air Rage

    By: K. A. DeCelles and Michael I. Norton
    We posit that the modern airplane is a social microcosm of class-based society, and that the increasing incidence of “air rage” can be understood through the lens of inequality. Research on inequality typically examines the effects of relatively fixed, macrostructural... View Details
    Keywords: Physical Inequality; Equality and Inequality; Behavior; Air Transportation; Situation or Environment
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    DeCelles, K. A., and Michael I. Norton. "Physical and Situational Inequality on Airplanes Predict Air Rage." Proceedings of the National Academy of Sciences 113, no. 20 (May 17, 2016): 5588–5591.
    • March 2003
    • Article

    Predictable Surprises: The Disasters You Should Have Seen Coming

    By: Michael D. Watkins and Max H. Bazerman
    Citation
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    Watkins, Michael D., and Max H. Bazerman. "Predictable Surprises: The Disasters You Should Have Seen Coming." Harvard Business Review 81, no. 3 (March 2003). (Reprinted in H. Balanoff (Ed.), Public Administration, McGraw-Hill, 2004.)
    • February 2022
    • Teaching Note

    Borusan CAT: Monetizing Prediction in the Age of AI

    By: Navid Mojir
    Teaching Note for HBS Case No. 521-053. View Details
    Keywords: Monetization Strategy; Artificial Intelligence; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey
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    Mojir, Navid. "Borusan CAT: Monetizing Prediction in the Age of AI." Harvard Business School Teaching Note 522-069, February 2022.
    • 28 Sep 2021
    • News

    Dropbox Billionaire Predicts 40-Hour Workweek Will Become a ‘Thing of the Past’

    • January 2019
    • Article

    Bubbles for Fama

    By: Robin Greenwood, Andrei Shleifer and Yang You
    We evaluate Eugene Fama's claim that stock prices do not exhibit price bubbles. Based on U.S. industry returns 1926–2014 and international sector returns 1985–2014, we present four findings: (1) Fama is correct in that a sharp price increase of an industry portfolio... View Details
    Keywords: Bubble; Market Efficiency; Predictability; Price Bubble; Stocks; Price; Forecasting and Prediction
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    Greenwood, Robin, Andrei Shleifer, and Yang You. "Bubbles for Fama." Journal of Financial Economics 131, no. 1 (January 2019): 20–43. (Internet Appendix Here.)
    • 16 Mar 2018
    • Working Paper Summaries

    Amount and Diversity of Digital Emotional Expression Predicts Happiness

    Keywords: by Laura Vuillier, Alison Wood Brooks, June Gruber, Rui Sun, Michael I. Norton, Matthew James Samson, Emiliana Simon-Thomas, Paul Piff, Sarah Fan, Jordi Quoidbach, Charles Gorintin, Pete Fleming, Arturo Bejar, and Dacher Keltner
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