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Publications

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  • All HBS Web  (58)
    • Research  (51)
  • Faculty Publications  (19)

Show Results For

  • All HBS Web  (58)
    • Research  (51)
  • Faculty Publications  (19)
Page 1 of 58 Results →
  • 2023
  • Article

Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.

By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
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McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
  • April 2020
  • Article

Designs for Estimating the Treatment Effect in Networks with Interference

By: Ravi Jagadeesan, Natesh S. Pillai and Alexander Volfovsky
In this paper, we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment... View Details
Keywords: Experimental Design; Network Inference; Neyman Estimator; Symmetric Interference Model; Homophily
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Jagadeesan, Ravi, Natesh S. Pillai, and Alexander Volfovsky. "Designs for Estimating the Treatment Effect in Networks with Interference." Annals of Statistics 48, no. 2 (April 2020): 679–712.

    Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations

    Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore... View Details
    • Article

    Incorporating Interpretable Output Constraints in Bayesian Neural Networks

    By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
    Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details
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    Yang, Wanqian, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, and Finale Doshi-Velez. "Incorporating Interpretable Output Constraints in Bayesian Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
    • 2023
    • Working Paper

    Black-box Training Data Identification in GANs via Detector Networks

    By: Lukman Olagoke, Salil Vadhan and Seth Neel
    Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
    Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science
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    Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
    • February 2016
    • Article

    After The Break-Up: The Relational and Reputational Consequences of Withdrawals from Venture Capital Syndicates

    By: Pavel Zhelyazkov and Ranjay Gulati
    Traditional research has long treated reputation as an egocentric attribute, typically described as an intangible asset directly shaped by the focal actor's track record. We argue, however, that reputation is dyadic: that an actor can have different reputations with... View Details
    Keywords: Network Formation; Network Search; Venture Capital; Syndication; Networks
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    Zhelyazkov, Pavel, and Ranjay Gulati. "After The Break-Up: The Relational and Reputational Consequences of Withdrawals from Venture Capital Syndicates." Academy of Management Journal 59, no. 1 (February 2016): 277–301.
    • 11 AM – 12 PM EST, 25 Jan 2018
    • Webinars: Trending@HBS

    Becoming Effective Change Makers: The Power of Networks

    Instituting change in an organization or in a sector of society has always been the bane of leaders. However, some leaders do succeed--often spectacularly--at transforming their organizations and even whole sectors of society. What makes some change makers triumph in a... View Details
    • June 2015
    • Case

    The Coca-Cola Company's Case for Creative Transformation

    By: Thales S. Teixeira and Elizabeth Anne Watkins
    In 2013, the Coca-Cola Company was awarded Creative Marketer of the Year by the Cannes Lions Festival (known as the "Oscar of Advertising") for the first time ever in history and nearly 50 years after the Festival's inception. Just one year before that, Jonathan... View Details
    Keywords: Attention Economics; Creating Connections; Digital Marketing; Marketing Innovations; Social Networks; Advertising Content; Networked Brand; Beverage Industry; Coca-Cola; Digital Innovation; Digital Transition; Marketing; Marketing Communications; Innovation Strategy; Social and Collaborative Networks; Advertising; Creativity; Consumer Products Industry
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    Teixeira, Thales S., and Elizabeth Anne Watkins. "The Coca-Cola Company's Case for Creative Transformation." Harvard Business School Multimedia/Video Case 815-714, June 2015.
    • March 2018
    • Case

    TrustSphere: Building a Market for Relationship Analytics

    By: Boris Groysberg and Katherine Connolly Baden
    Manish Goel was the CEO of TrustSphere, a seven-year-old company in the data analytics industry that focused squarely on relationship analytics, a space in which TrustSphere was pioneering a unique technology and solutions in the areas of sales, risk, and people... View Details
    Keywords: Data Analytics; People Analytics; Talent Management; Human Resources; Networks; Relationships; Analysis; Employee Relationship Management; Core Relationships; Applications and Software; Communication; Technology Industry; Singapore
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    Groysberg, Boris, and Katherine Connolly Baden. "TrustSphere: Building a Market for Relationship Analytics." Harvard Business School Case 418-070, March 2018.
    • Research Summary

    Statistical Methodology

    William Simpson is developing methods of inference to use when assumptions of standard models are not met. He has created a hypothesis test to use for ipsative variables that adjusts for the non-zero correlations among variables expected under the null hypothesis. ... View Details

    • March 2021
    • Article

    The Impact of the General Data Protection Regulation on Internet Interconnection

    By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
    The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on... View Details
    Keywords: Personal Data; Privacy Regulation; GDPR; Interconnection Agreements; Internet and the Web; Governing Rules, Regulations, and Reforms
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    Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." Telecommunications Policy 45, no. 2 (March 2021).
    • 2019
    • Working Paper

    The Impact of the General Data Protection Regulation on Internet Interconnection

    By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
    The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on... View Details
    Keywords: Personal Data; Privacy Regulation; GDPR; Interconnection Agreements; Internet and the Web; Governing Rules, Regulations, and Reforms; European Union
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    Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." NBER Working Paper Series, No. 26481, November 2019.
    • 2017
    • Working Paper

    The Right Mix: Angels, Venture Capitalists, and the Assembly of Entrepreneurial Resources

    By: Benjamin Hallen and Rory McDonald
    New ventures rely on external relationships for capital, knowledge, and networks. We examine how ventures assemble these resources—and whether they are all accessible from the same sources—in relationships with two types of investors: venture capital firms and angels.... View Details
    Keywords: Business Ventures; Venture Capital; Entrepreneurship
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    Hallen, Benjamin, and Rory McDonald. "The Right Mix: Angels, Venture Capitalists, and the Assembly of Entrepreneurial Resources." Harvard Business School Working Paper, No. 17-082, March 2017.
    • 2019
    • Article

    Structural Balance Emerges and Explains Performance in Risky Decision-Making

    By: Omid Askarisichani, Jacqueline N. Lane, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh and Brian Uzzi
    Polarization affects many forms of social organization. A key issue focuses on which affective relationships are prone to change and how their change relates to performance. In this study, we analyze a financial institutional over a two-year period that employed 66... View Details
    Keywords: Polarization; Structural Balance; Performance; Groups and Teams; Risk and Uncertainty; Decision Making
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    Askarisichani, Omid, Jacqueline N. Lane, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh, and Brian Uzzi. "Structural Balance Emerges and Explains Performance in Risky Decision-Making." Art. 2648. Nature Communications 10 (2019): 1–10.
    • July 2023 (Revised July 2023)
    • Background Note

    Generative AI Value Chain

    By: Andy Wu and Matt Higgins
    Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
    Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
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    Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
    • Research Summary

    Overview

    By: Eva Ascarza
    Professor Ascarza’s research primarily focuses on providing researchers and marketers a better understanding of how to manage customer retention so as to reduce churn and increase firm’s profitability. She addresses these issues by building empirical models of customer... View Details
    • 30 Apr 2019
    • First Look

    New Research and Ideas, April 30, 2019

    platform businesses. We have five major themes in the book: 1) The world’s most valuable companies are all platforms, in part because platforms have network effects, with the potential for a winner-take-all or winner-take-most outcome. 2)... View Details
    Keywords: Dina Gerdeman
    • June 2017 (Revised May 2019)
    • Supplement

    Kjell and Company: Motivating Salespeople with Incentive Compensation (B)

    By: Doug J. Chung
    Kjell & Company was a Swedish retail electronics chain founded in 1988 by brothers Marcus, Mikael and Fredrik Dahnelius. The company operated 84 stores, all company-owned, located mainly in the metropolitan areas of Sweden’s most popular cities: Stockholm, Gothemburg... View Details
    Keywords: Salesforce Management; Compensation and Benefits; Motivation and Incentives; Change Management; Behavior; Electronics Industry; Sweden
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    Chung, Doug J. "Kjell and Company: Motivating Salespeople with Incentive Compensation (B)." Harvard Business School Supplement 517-133, June 2017. (Revised May 2019.)
    • 06 Mar 2018
    • First Look

    First Look at Research and Ideas, March 6, 2018

    likely to make aggressive offers in distributive negotiations than those who interacted with counterparts expressing neutral emotion. In Study 2, we find that inferences of the tendency to forgive mediates the relationship between... View Details
    Keywords: Sean Silverthorne
    • 24 Feb 2015
    • First Look

    First Look: February 24

    rates persist through the three weeks of available data following the initial intervention. Download working paper: http://people.hbs.edu/mluca/ALERT.pdf Thick as Thieves? Dishonest Behavior and Egocentric Social Networks By: Lee, Jooa... View Details
    Keywords: Sean Silverthorne
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