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- Faculty Publications (54)
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- Working Paper
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it...
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- September 2022
- Article
Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews
By: Dennis W. Campbell and Ruidi Shang
This paper examines whether information extracted via text-based statistical methods applied to employee reviews left on the website Glassdoor.com can be used to develop indicators of corporate misconduct risk. We argue that inside information on the incidence of...
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- Article
The Errors of Experts: When Expertise Hinders Effective Provision and Seeking of Advice and Feedback
By: Ting Zhang, Kelly Harrington and Elad Sherf
To be effective, experts need to simultaneously develop others (i.e. provide advice and feedback to novices) and advance their own learning (i.e. seek and incorporate advice and feedback from others). However, expertise, and the state of efficacy associated with it,...
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- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...
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- Article
Learning Models for Actionable Recourse
By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely...
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- 2021
- Chapter
Towards a Unified Framework for Fair and Stable Graph Representation Learning
By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual...
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- June 2021
- Teaching Note
Pearson: Efficacy 2.0
By: Elie Ofek and Marco Bertini
Teaching Note for HBS Case No. 521-012.
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- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the...
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- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed...
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- January 2021 (Revised March 2021)
- Case
Serum Institute of India (SII): Racing to Save Lives During a Pandemic
By: Rohit Deshpandé, Anjali Raina and Rachna Chawla
The CEO of Serum Institute of India (SII), a $12.8 billion Indian Family business is faced with a risky choice between principles and profit. SII is the largest manufacturer of vaccines in the world and Adar Poonawalla, the CEO and son of the founder has to decide how...
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- January 2021
- Case
Pearson: Efficacy 2.0
By: Elie Ofek, Marco Bertini, Oded Koenigsberg and James Weber
Pearson, which billed itself as the "world's learning company," faced a host of critical decisions in mid-2020. Several years prior, it had embarked on a new path that put the learner at the heart of the business and committed to a new strategic orientation. The new...
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- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption...
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- December 2020 (Revised April 2021)
- Case
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein, Mel Martin and Sarkis Agaian
After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology...
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Keywords:
Decision Making;
Innovation Strategy;
Knowledge Management;
Knowledge Use and Leverage;
Operations;
Failure;
Information Technology;
Applications and Software;
Health Care and Treatment;
Product Development;
Health Industry;
Information Technology Industry;
Technology Industry;
United States;
Houston;
Texas
- 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...
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- 2020
- Working Paper
Fresh Fruit and Vegetable Consumption: The Impact of Access and Value
By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited...
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Keywords:
Food Deserts;
Food Access;
Food Policy;
Causal Inference;
Food;
Nutrition;
Poverty;
Government Administration
- March 2020
- Case
EyeControl: Inspiring Communication
By: Paul A. Gompers and Danielle Golan
Eye-controlled communication device startup EyeControl was founded in Tel Aviv, Israel in 2016 by cofounders with a shared personal connection to locked-in syndrome—a neurological disorder that left sufferers cognitively sound, yet paralyzed, with the exception of eye...
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- Article
What We Can Learn from Five Naturalistic Field Experiments That Failed to Shift Commuter Behaviour
By: Ariella S. Kristal and A.V. Whillans
Across five field experiments with employees of a large organization (n = 68,915), we examined whether standard behavioural interventions (“nudges”) successfully reduced single-occupancy vehicle commutes. In Studies 1 and 2, we sent letters and emails with nudges...
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- Article
The Mixed Effects of Online Diversity Training
By: Edward H. Chang, Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth and Adam M. Grant
We present results from a large (n = 3,016) field experiment at a global organization testing whether a brief science-based online diversity training can change attitudes and behaviors toward
women in the workplace. Our preregistered field experiment included an...
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- April 2019 (Revised January 2022)
- Case
Clear Link Technologies, LLC: Driving Sales with Peer Effects
By: Christopher Stanton, Richard Saouma and Olivia Hull
The importance of a good peer or coworker is widely discussed, but understanding the glue that makes coworkers valuable is less understood. This case sheds light on the importance of peers and the practices and environments that make a group greater than the sum of its...
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Keywords:
Talent and Talent Management;
Interactive Communication;
Experience and Expertise;
Decision Making;
Training;
Design;
Compensation and Benefits;
Knowledge Acquisition;
Knowledge Sharing;
Human Capital;
Working Conditions;
Measurement and Metrics;
Outcome or Result;
Performance;
Performance Improvement;
Research;
Sales;
Salesforce Management;
Motivation and Incentives;
Telecommunications Industry;
Utah;
United States
- September 2018
- Case
Kevin Ryan Inc.
By: Shikhar Ghosh and Greg Marsh
The case focuses on the hiring process for a CEO. Kevin Ryan had a solid trajectory as a serial entrepreneur of well-known ventures like Gilt Group, DoubleClick, Business Insider, among others. Ryan tended to involve himself in all aspects of his ventures: ideation,...
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