Publications

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

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

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

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

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

Educators

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

Educators

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

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

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

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

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

Educators

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

Keywords: Customer Retention; Churn; Field Experiments

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