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  • 2023
  • Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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  • 01 Jul 2013
  • Research & Ideas

Crowdfunding a Poor Investment?

democratize entry and allow for more experimentation to take place," says Nanda. "On the other hand, skeptics will say that these are companies that should not have been funded in the first place, and when it's time to scale up... View Details
Keywords: by Michael Blanding; Financial Services
  • Article

Statistical Physics of Human Cooperation

By: Matjaž Perc, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti and Attila Szolnoki
Extensive cooperation among unrelated individuals is unique to humans, who often sacrifice personal benefits for the common good and work together to achieve what they are unable to execute alone. The evolutionary success of our species is indeed due, to a large... View Details
Keywords: Human Cooperation; Evolutionary Game Theory; Public Goods; Reward; Punishment; Tolerance; Self-organization; Pattern Formation; Cooperation; Behavior; Game Theory
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    Roberto Verganti

    Roberto Verganti (rverganti@hbs.edu) is in the Technology and Operations Management Unit at Harvard Business School. He teaches Design Theory and Practice for the View Details

    Keywords: automotive; computer; consumer products; electronics; fashion; food; furniture; high technology; home appliances; industrial goods; pharmaceuticals; semiconductor; software; telecommunications; textiles
    • 2023
    • Article

    Post Hoc Explanations of Language Models Can Improve Language Models

    By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
    Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
    Keywords: AI and Machine Learning; Performance Effectiveness
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    • 1982
    • Article

    When Self-Descriptions Contradict Behavior: Actions do Speak Louder than Words

    By: T. M. Amabile and L. Kabat
    Subjects viewed two videotapes, one depicting a stimulus person's self-description and the other depicting that person's behavior in a conversation, according to a four-way factorial design personality descriptor used in the self-description ("introvert" or... View Details
    Keywords: Behavior; Perception; Cognition and Thinking; Judgments
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    • 15 Jul 2014
    • First Look

    First Look: July 15

    performance to provide quantitative insight into the link between a firm's business model choices and its profit consequences. The method is applied to Walmart by building a qualitative representation of its business model and mapping... View Details
    Keywords: Carmen Nobel
    • August 2012
    • Article

    Organ Allocation Policy and the Decision to Donate

    By: Judd B. Kessler and Alvin E. Roth
    Organ donations from deceased donors (cadavers) provide the majority of transplanted organs in the United States, and one deceased donor can save numerous lives by providing multiple organs. Nevertheless, most Americans are not registered organ donors despite the... View Details
    Keywords: Organ Donation; Health; Philanthropy and Charitable Giving; Decision Making; Resource Allocation; Mathematical Methods; United States
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    • Web

    PhD Programs - Doctoral

    requirements and curriculum, read student profiles as well as student research , and placement information. The PhD in Business Administration grounds students in the disciplinary theories and research methods that form the foundation of... View Details
    • 25 Feb 2015
    • HBS Seminar

    Jeffrey Schnapp, Harvard Graduate School of Design

    • March 2025
    • Article

    Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures

    By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
    The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details
    Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
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      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
      • 2023
      • Article

      On Minimizing the Impact of Dataset Shifts on Actionable Explanations

      By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
      The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      • 30 Oct 2018
      • First Look

      New Research and Ideas, October 30, 2018

      Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ machine learning (ML) methods in theory development. Compared... View Details
      Keywords: Dina Gerdeman
      • Web

      Business Economics - Doctoral

      Zhuo Business Economics Sagar Saxena Business Economics “ HBS is the ideal environment because I get to think about the world like an economist, but I have the freedom and resources to draw on methods from other disciplines as I study... View Details
      • 30 Nov 2015
      • HBS Seminar

      Soroush Saghafian, Assistant Professor of Public Policy - Harvard Kennedy School, Harvard University

      • Web

      Program Requirements - Doctoral

      Research Methods Courses Intermediate Statistical Analysis in Psychology (Psychology 1950) Multivariate Analysis in Psychology (Psychology 1952) Research Design Courses Design of Field Research Methods (HBS... View Details
      • 22 Nov 2023
      • Research & Ideas

      Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

      consultants using AI were 19 percentage points less likely to produce the right answer. “Organizations need an experimental mindset where they implement a methodical test-and-learn approach.” How to tell... View Details
      Keywords: by Rachel Layne; Information Technology; Technology
      • 11 Dec 2007
      • First Look

      First Look: December 11, 2007

      336-339 Abstract Experimental economics and social psychology share an interest in a widening subset of topics, relying on similar lab-based methods to address similar questions about human behavior, yet... View Details
      Keywords: Martha Lagace
      • Web

      Program Requirements - Doctoral

      Empirical Methods in Corporate Finance (HBS 4220) Experimental Methods (HBS 4435) Matched Sampling and Study Design (Stat 240); (Stat 140 or Econ 1127 are strongly recommended... View Details