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- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
- 2025
- Book
Talk: The Science of Conversation and the Art of Being Ourselves
We all struggle with difficult conversations, but we're often not very good at easy ones either. Though we do it all the time, conversation is one of the most complex, demanding, and delicate of all human tasks, rife with possibilities for misinterpretation and... View Details
Keywords: Interpersonal Communication
- 2024
- Book
The Fading Light of Democratic Capitalism: How Pervasive Cronyism and Restricted Suffrage Are Destroying Democratic Capitalism as a National Ideal ... And What to Do About It
What are we to do about declining public trust and confidence in democratic capitalism, which many citizens consider a cornerstone of our national ideology and identity? In this book, I address how we can rekindle the fading light of democratic capitalism as an... View Details
- November 2024
- Case
Group AMANA: Built to Last
By: Hise Gibson and Fares Khrais
The case chronicles the Bsaibes brothers’ journey in founding and operating Group AMANA; a contracting business founded in 1993, based in the United Arab Emirates with operations across the Middle East. Over the years, the business found itself grappling with major... View Details
- September 2024 (Revised March 2025)
- Supplement
Wemade: (Re)Establishing Trust in Blockchain Games (B)
By: Jung Koo Kang, Charles C.Y. Wang, David Allen and Kwangmoon So
This supplement reviews Wemade's efforts to rebuild confidence in its business after its WEMIX coin was delisted from the major South Korean cryptocurrency exchanges on December 8, 2022. It outlines Wemade's strategy of transparency, which included partnerships with... View Details
- August 2024 (Revised September 2024)
- Case
Dishoom: From Bombay with Love
By: Anjali M. Bhatt and Thomas J. DeLong
Shamil and Kavi Thakrar, co-founders of Dishoom, faced critical decisions as they looked to expand the UK-based restaurant group. Shamil, the CEO, was confident in Dishoom's potential for growth but he was concerned about preserving the culture and values centered... View Details
- August 2024
- Article
Heuristics on Call: The Impact of Mobile-Phone-Based Business-Management Advice
By: Shawn Cole, Mukta Joshi and Antoinette Schoar
There is growing evidence that business training for micro-entrepreneurs can be effective. However, in-person training can be expensive and imposes costs on the target beneficiaries. This paper presents the results of a two-site randomized evaluation of a light-touch,... View Details
- May 2024
- Case
LinkedIn Corporation, 2024
By: David B. Yoffie, George Gonzalez and Emily Grandjean
By 2024, the LinkedIn profile was well established as the professional identity of record on the Internet. Following a multi-year effort to expand the platform’s user base, as well as a period of rapid growth during the COVID-19 pandemic, LinkedIn’s membership had... View Details
- 2024
- Working Paper
The Fading Light of Democratic Capitalism: How Pervasive Cronyism and Restricted Suffrage Are Destroying Democratic Capitalism as a National Ideal…and What to Do about It
What are we to do about declining public trust and confidence in democratic capitalism, which many citizens consider a cornerstone of our national ideology and identity? While the answer is not entirely clear, I argue in this essay that any effort aimed at restoring... View Details
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
- 2024
- Report
Overcoming Barriers to Resolving Gaza and Beyond
As of early January 2024, discussion of the Gaza war heavily focuses on its humanitarian costs, cease fire possibilities, hostage prospects, and “day after” options. Yet what longer-term strategy guides actions on these vital issues while offering a more positive... View Details
- January 2024
- Case
Sprouts Farmers Market
By: Rajiv Lal, Forest L. Reinhardt and Natalie Kindred
Sprouts Farmers Markets (Sprouts) is a Phoenix, Arizona-based chain of 400-plus natural foods stores in 23 U.S. states and $6.4 billion in sales as of 2022. In its product assortment, brand image, and store environment, Sprouts emphasizes freshness, health, innovation,... View Details
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
- December 2023
- Article
Recover, Explore, Practice: The Transformative Potential of Sabbaticals
By: Kira Schabram, Matt Bloom and DJ DiDonna
Sabbaticals have seen an exponential growth in adoption over the last two decades and are ascribed extensive benefits by employers and employees alike. Little is known, however, about how individuals spend their time or how their experiences impact them after they... View Details
- September 2023 (Revised September 2024)
- Case
IBJ, Inc. (A): Seeking Matrimony in Japan
By: Ramon Casadesus-Masanell and Akiko Saito
In March 2020, Shigeru Ishizaka, founder and CEO of IBJ, Inc., Japan's largest marriage matching service provider, faced a critical decision regarding the company’s planned ¥3.5 billion (US$32.8 million) acquisition of competitor ZWEI Co., Ltd. IBJ, founded in 2006,... View Details
- 2023
- Working Paper
Do Third-Party Guarantors Reassure Foot Soldiers?
By: Natalia Garbiras-Díaz, Michael Weintraub, Leopoldo Fergusson, Juana Catalina Garcia Duque and Laia Balcells
Since the end of the Cold War, international third parties such as the United Nations (UN) have become frequent guarantors of peace agreements. Existing studies document that third parties provide assurances that help maintain peace, yet these studies nearly... View Details
- August 2023
- Supplement
Reimagining Hindustan Unilever (B)
By: Sunil Gupta and Rachna Tahilyani
In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an... View Details