Publications
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Cyber-attacks on healthcare entities and leaks of personal identifiable information (PII) are a growing threat. However, it is now possible to learn sensitive characteristics of an individual without PII, by combining advances in artificial intelligence, analytics, and online repositories. We discuss privacy threats and privacy engineering solutions, emphasizing the selection of privacy enhancing…
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Understanding how pediatric patient room design influences comfort and care perceptions is critical for improving healthcare environments. This study examines the visual engagement and subjective experiences of 23 children (8–17 years) and 21 parents using a Virtual Reality (VR) and eye-tracking approach with photographic stimuli of thirty-two pediatric acute care rooms. A mixed-methods framework…
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From a simple text prompt, generative-AI image models can create stunningly realistic and creative images bounded, it seems, by only our imagination. These models have achieved this remarkable feat thanks, in part, to the ingestion of billions of images collected from nearly every corner of the internet. Many creators have understandably expressed concern over how their intellectual property has…
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Diagnosis of soil-transmitted helminthiasis and schistosomiasis for surveillance relies on microscopic detection of ova in Kato–Katz (KK) prepared slides. Artificial intelligence (AI)-based platforms for parasitic eggs may be developed using a robust image set with defined labels by reference microscopists. This study aimed to determine interobserver variability among reference microscopists in…
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This work demonstrates a method to design photonic surfaces by combining femtosecond laser processing with the inverse design capabilities of tandem neural networks that directly link laser fabrication parameters to their resulting textured substrate optical properties. High throughput fabrication and characterization platforms are developed that generate a dataset comprising 35280 unique…
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Online interpersonal harm, such as harassment and discrimination, is prevalent on social media platforms. Most platforms adopt content moderation as the primary solution, relying on measures like bans and content removal. These measures follow principles of punitive justice, which holds that perpetrators of harm should receive punishment in proportion to the offense. However, these strategies…
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With drastic changes to abortion policy, the months following the Dobbs leak and subsequent decision in 2022 were a uniquely uncertain and difficult time for abortion access in the United States. To understand experiences of challenges to abortion access during that time, we used a hybrid inductive and deductive thematic coding approach to analyse descriptions of barriers and their impacts shared…
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Personal mobility data from mobile phones and other sensors are increasingly used to inform policymaking during pandemics, natural disasters, and other humanitarian crises. However, even aggregated mobility traces can reveal private information about individual movements to potentially malicious actors. This paper develops and tests an approach for releasing private mobility data, which provides…
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Understanding how people perceive algorithmic decision-making is remains critical, as these systems are increasingly integrated into areas such as education, healthcare, and criminal justice. These perceptions can shape trust in, compliance with, and the perceived legitimacy of automated systems. Focusing on San Francisco’s decade-long policy of algorithmic school assignments, we draw on…
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The months following the Dobbs v. Jackson Women’s Health Organization leak and subsequent decision in 2022, which removed federal legal protections of abortion, presented a challenging period for abortion in the United States and a time when sources of and experiences with social support likely changed rapidly. We used thematic analysis of randomly selected relevant posts from an abortion…
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The representation of mobility in literary narratives has important implications for the cultural understanding of human movement and migration. In this paper, we introduce novel methods for measuring the physical mobility of literary characters through narrative space and time. We capture mobility through geographically defined space, as well as through generic locations such as homes, driveways…
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Real estate platforms, like Zillow, Redfin, and Apartments.com, have transformed real estate information access in the U.S. since they launched in the early 2000s. They assemble information about real estate listings from various sources, including public information (sales and tax history), information from other platforms (Google Maps, Yelp), and listing information that was previously only…
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Social protection programs are essential to assisting the poor, but governments and humanitarian agencies are rarely resourced to provide aid to all those in need, so accurate targeting of benefits is critical. In developed economies, targeting decisions typically rely on administrative income data or broad survey-based social registries. In low-income countries, however, poverty information is…
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With funding from a 2019 National Park Service Japanese American Confinement Sites grant, The Bancroft Library digitized the complete set of Form WRA-26 “individual records” for more than 110,000 Japanese Americans incarcerated in War Relocation Authority camps during WWII. The library partnered with Doxie.AI to utilize AI/machine learning to automate text extraction from over 220,000 images; our…
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In response to the rise of various fringe movements in recent years, from anti-vaxxers to QAnon, there has been increased public and scholarly attention to misinformation and conspiracy theories and the online communities that produce them. However, efforts at understanding the radicalisation process largely focus on those who go on to commit violent crimes. This article draws on three waves of…
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The 30-chapter book contains a compelling collection of short essays that serves as a beacon for aspiring founders and business leaders alike. In this thought-provoking anthology, the author shares insights, experiences, and valuable lessons learned first-hand in building and funding successful ventures. Each short essay offers a unique perspective on key facets of entrepreneurship, through keen…
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In this paper, we revisit the problem of influence maximization with fairness, which aims to select 𝑘 influential nodes to maximise the spread of information in a network, while ensuring that selected sensitive user attributes (e.g., gender, location, origin, race, etc) are fairly affected, i.e., are proportionally similar between the original network and the affected users. Recent studies on…
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Image data has grown exponentially as systems have increased their ability to collect and store it. Unfortunately, there are limits to human resources both in time and knowledge to fully interpret and manage that data. Computer Vision (CV) has grown in popularity as a discipline for better understanding visual data. Computer Vision has become a powerful tool for imaging analytics in orthopedic…
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Total joint arthroplasty (TJA) is becoming one of the most common surgeries within the United States, creating an abundance of analyzable data to improve patient experience and outcomes. Unfortunately, a large majority of this data is concealed in electronic health records only accessible by manual extraction, which takes extensive time and resources. Natural language processing (NLP), a field…