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Market Competition and Political Influence: An Integrated Approach
The operation of markets and of politics are in practice deeply intertwined. Political decisions set the rules of the game for market competition…
Platform Annexation
The article offers information about the platform annexation, and the logic using basic principles from platform economics. It analyzes the…
Policy Learning with Adaptively Collected Data
Learning optimal policies from historical data enables the gains from personalization to be realized in a wide variety of applications. The…
Smiles in Profiles: Improving Fairness and Efficiency Using Estimates of User Preferences in Online Marketplaces
Online platforms often face challenges being both fair (i.e., non-discriminatory) and efficient (i.e., maximizing revenue). Using computer vision…
Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
Multi-armed bandit (MAB) algorithms are efficient approaches to reduce the opportunity cost of online experimentation and are used by companies to…
PayPal Giving Experiments
This report describes insights gleaned from the Data Fellows collaboration among PayPal, Northwestern University’s Kellogg School of Management,…
Platforms Need to Work with Their Users — Not Against Them
As online platforms have become dominant, many have leveraged their power by raising fees and changing rules. In the short run, this hurts the…
A General Theory of the Stochastic Linear Bandit and Its Applications
Recent growing adoption of experimentation in practice has led to a surge of attention to multiarmed bandits as a technique to reduce the…
Patient-Level Clinical Expertise Enhances Prostate Cancer Recurrence Predictions with Machine Learning
With rising access to electronic health record data, application of artificial intelligence to create clinical risk prediction models has grown. A…
The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
We study a Bayesian k-armed bandit problem in many-armed regime, when k ≥ √ T, with T the time horizon. We…
Uncovering Interpretable Potential Confounders in Electronic Medical Records
Randomized clinical trials (RCT) are the gold standard for informing treatment decisions. Observational studies are often plagued by selection…
The Social Divide of Social Distancing: Lockdowns in Santiago, Chile During the Covid-19 Pandemic
Voluntary shelter-in-place directives and lockdowns are the main non-pharmaceutical interventions that governments around the globe have used to…
Counterfactual Inference for Consumer Choice Across Many Product Categories
This paper proposes a method for estimating consumer preferences among discrete choices, where the consumer chooses at most one product in a…
Estimating Experienced Racial Segregation in U.S. Cities Using Large-Scale GPS Data
We estimate a measure of segregation, experienced isolation, that captures individuals’ exposure to diverse others in the places they visit over…
Shared Decision-Making: Can Improved Counseling Increase Willingness to Pay for Modern Contraceptives?
Long-acting reversible contraceptives are highly effective in preventing unintended pregnancies, but take-up remains low. This paper analyzes a…
Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study
Since the beginning of the COVID-19 pandemic, pharmaceutical treatment hypotheses have abounded, each requiring careful evaluation. A randomized…
Integrating Explanation and Prediction in Computational Social Science
Computational social science is more than just large repositories of digital data and the computational methods needed to construct and analyze…
Procurement Mechanisms for Assortments of Differentiated Products
Part of thesis finalist of 2015 INFORMS George Dantzig Dissertation Award. Second place 2015 M&SOM Student Paper Competition.
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The Association between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality from COVID-19
Effective therapies for coronavirus disease 2019 (COVID-19) are urgently needed, and pre-clinical data suggest alpha-1 adrenergic receptor…
PatientFlowNet: A Deep Learning Approach to Patient Flow Prediction in Emergency Departments
Emergency Department (ED) crowding is a major public health challenge since it can seriously impact patient outcomes; and accurate prediction of…
Practitioner’s Guide: Designing Adaptive Experiments
Adaptive experiments present a unique opportunity to more rapidly learn which of many treatments work best, evaluate multiple hypotheses, and…
Market Design to Accelerate COVID-19 Vaccine Supply
Each month, COVID-19 kills hundreds of thousands of people, reduces global gross domestic product (GDP) by hundreds of billions of dollars, and…
Association of α1-Blocker Receipt With 30-Day Mortality and Risk of Intensive Care Unit Admission Among Adults Hospitalized With Influenza or Pneumonia in Denmark
Alpha 1–adrenergic receptor blocking agents (α1-blockers) have been reported to have protective benefits against hyperinflammation and cytokine…
Preparing for a Pandemic: Accelerating Vaccine Availability
Vaccinating the world’s population quickly in a pandemic has enormous health and economic benefits. We analyze the problem faced by governments in…