Publications

Recent interest in ethical AI has brought a slew of values, including fairness, into conversations about technology design. Research in the area of algorithmic fairness tends to be rooted in questions of distribution that can be subject to precise formalism and technical implementation. We seek to expand this conversation to include the experiences of people subject to algorithmic…

Historians identify the process of registration as key to the ‘modern mark’. Hence the introduction of trademark registration with the US federal law of 1870 appears as a pivotal event, endorsing Chandlerean accounts of the modern mark as a product of the ‘Second Industrial Revolution’. Such accounts overlook the earlier registration laws in places where economic conditions challenge claims…

Modern data-driven technologies are providing new capabilities for working with data across diverse storage architectures and analyzing it in unified frameworks to yield powerful insights. These new analysis capabilities, which rely on correlating data across sources and types and exploiting statistical structure, have challenged classical approaches to privacy, leading to a need for radical…

Differential privacy is at a turning point. Implementations have been successfully leveraged in private industry, the public sector, and academia in a wide variety of applications, allowing scientists, engineers, and researchers the ability to learn about populations of interest without specifically learning about these individuals. Because differential privacy allows us to quantify cumulative…

At a time when globalization is taking a step backward, what’s the best way to organize a global enterprise? The key, explains political economist Steven Weber, is to prepare for a world increasingly made up of competing regions defined by their own rules and standards.

Globalization has taken a hit as trade wars and resistance to mass migrations dominate headlines.…

Collecting data to inform policy decisions is an ongoing global challenge. While some data collection has become routine, certain populations remain difficult to reach. From targeting social protection programs in densely-populated urban areas to reaching the "last mile" of infrastructure coverage, data collection and service delivery go hand-in-hand. Understanding the populations that live in…

Three studies assessed the relationship between need for closure (NFC) and evaluations of political ideology conversions as a function of mortality salience (MS). Following anexperimental (vs. control) manipulation, 156 participants evaluated politicians who switchedpolitical ideologies. Results indicate that MS induced people high in NFC to express greater support for politicians seeking…

In a world instrumented with smart sensors and digital platforms, some of our most intimate and information-rich data are being collected and curated by private companies. The opportunities and risks derived from potential knowledge carried within these data streams are undeniable, and the clustering of data within the private sector is challenging traditional data infrastructures and sites of…

In this pictorial, we explore how emergent menstrual biosensing technologies compound existing concerns for the everyday ethics of extracting and analyzing intimate data. Specifically, we review the data practices of a set of existing menstrual tracking applications and use that analysis to inform the design of speculative near future technologies. We present these technologies here in the…

Biosensors-devices that sense the human body-are increasingly ubiquitous. However, it is unclear how people evaluate the risks associated with their use, in part because it is not well-understood what people believe these sensors can reveal. In this study, participants ranked biosensors by how likely they are to reveal what a person is thinking and feeling. We report quantitative and…

In calls for privacy by design (PBD), regulators and privacy scholars have investigated the richness of the concept of "privacy." In contrast, "design" in HCI is comprised of rich and complex concepts and practices, but has received much less attention in the PBD context. Conducting a literature review of HCI publications discussing privacy and design, this paper articulates a set of…

Word clouds continue to be a popular tool for summarizing textual information, despite their well-documented deficiencies for analytic tasks. Much of their popularity rests on their playful visual appeal. In this paper, we present the results of a series of controlled experiments that show that layouts in which words are arranged into semantically and visually distinct zones are more effective…

In this moment of rising nationalism worldwide, governments, civil society groups, transnational companies, and web users all complain of increasing regional fragmentation online. While prior work in this area has primarily focused on issues of government censorship and regulatory compliance, we use an inductive and qualitative approach to examine targeted blocking by corporate entities of…

What can machines know about the mind, even theoretically? This dissertation examines what people (end-users and software engineers) believe the answer to this question might be, where these beliefs come from, and what effect they have on social behavior and technical practice. First, qualitative and quantitative data from controlled experiments show how basic biosignals, such as heartrate,…

‘Financial Inclusion’ has over the years assumed a central role in poverty alleviation by connecting the materially poor with formal financial services. Access to these formal financial services is expected to help the poor manage their erratic income streams and thus manage their day-to-day and critical expenses. In this way, the financial inclusion narrative assumes that the poor around the…

Machine learning algorithms have started having an unprecedented impact on human society due to their improved accuracy. The ability to collect and analyze information at a large scale has enabled the researchers to develop novel algorithms that can beat the best of the human experts in quite a few cases. The size of the data and the quality of the data has been the primary factor behind the…