• Publications
  • Influence
The Problem of Infra-Marginality in Outcome Tests for Discrimination
In the course of conducting traffic stops, officers have discretion to search motorists for drugs, weapons, and other contraband. There is concern that these search decisions are prone to racial
A large-scale analysis of racial disparities in police stops across the United States
TLDR
It is found that black drivers were less likely to be stopped after sunset, when a ‘veil of darkness’ masks one’s race, suggesting bias in stop decisions and evidence that the bar for searching black and Hispanic drivers was lower than that for searching white drivers.
Crowd Research: Open and Scalable University Laboratories
TLDR
Crowd Research is presented, a crowdsourcing technique that coordinates open-ended research through an iterative cycle of open contribution, synchronous collaboration, and peer assessment, and introduces a decentralized credit system.
"I was told to buy a software or lose my computer. I ignored it": A study of ransomware
TLDR
It is suggested that American users may be paying on the order of $100 million per year to attackers in ransomware attacks, based on self-reported security habits and detailed, individual-level web browsing patterns.
Investigating the "Wisdom of Crowds" at Scale
TLDR
With a distributed team of over 100 student researchers across 17 institutions in the United States and India, a large-scale online experiment is developed to systematically study the wisdom of crowds effect for 1,000 different tasks in 50 subject domains.
Unsupervised Learning For Effective User Engagement on Social Media
TLDR
It is found that unsupervised learning techniques significantly improve the prediction accuracy on both models, and Principal Component Analysis and sparse Autoencoder achieves the best result.
Studying the “Wisdom of Crowds” at Scale
TLDR
It is found that crowd performance is generally more consistent than that of individuals; as a result, the crowd does considerably better than individuals when performance is computed on a full set of questions within a domain.
Testing for Racial Discrimination in Police Searches of Motor Vehicles
In the course of conducting traffic stops, officers have discretion to search motorists for drugs, weapons, and other contraband. There is concern that these search decisions are prone to racial
Who is targeted by email-based phishing and malware?: Measuring factors that differentiate risk
TLDR
It is found that a person's demographics, location, email usage patterns, and security posture all significantly influence the likelihood of attack and represent a first step towards empirically identifying the most at-risk users.
An Empirical Analysis of HTTPS Configuration Security
TLDR
A fragmented web ecosystem is found: while most websites have secure configurations, this is largely due to major cloud providers that offer secure defaults and the need for server software to ship with secure defaults is highlighted.
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