News & Updates

Time-Related Considerations for Modeling Event-Based Data Collected via Ecological Momentary Assessment

In this article, we provide an overview of survival analysis, describe several time-based considerations for modeling event-based EMA data using survival analysis, and provide several illustrative examples of the different time-based considerations...

Smartphone use among adolescents during school hours: High-intensity objective observations across different instructional contexts

Adolescent smartphone use in school and how it shapes learning and development have attracted substantial attention. Yet, objective data on digital behavior during school hours are limited. This study uses high-intensity smartphone observations from 139 13–17-year-olds (Mage=15.52; 47.2% female)...

Honors Posters at Symposium of Undergraduate Research and Public Service [April 25, 2026]

Destiny Tran Saucedo-Martinez and Manasi Garg presented their respective honors theses "Engagement, Exploitation, Exposure: Algorithmic Persuasion and Explicit Content in the Screenome" and "Addiction or Agency? Examining Attention in the Smartphone Age"

Risk Communication in Real Time: Examining Individuals’ Smartphone Use During the 2021 Texas Winter Disaster With Mobile Sensing

In this study, we provide a detailed description of how individuals encounter risk communication during extreme weather events by analyzing comprehensive records of all the content that 11 adults viewed on their smartphones (n = 162,418 screenshots collected via mobile sensing) over 5 days of the winter disaster that struck Texas in February 2021. Participants viewed substantial amounts of risk communication, which comprised, on average, 21% of their total smartphone use during the winter disaster...

The Screenome: Unlocking the New Science of Everyday Life

"Health science has mapped our genome, microbiome, and environment; but everyday behavior has remained largely invisible. This post explores the "Screenome," a new frontier that captures the digital traces of daily life and opens a powerful lens on how behavior shapes health."

An open-source platform for multimodal digital trace data collection from smartphones

We developed an open-source platform that enables in situ capture of multimodal digital traces from smartphones (for example, moment-by-moment capture of screenshots, application usage logs, interaction histories and phone sensor readings)...

What Your Phone Knows Could Help Scientists Understand Your Health

"Stanford scientists have released an open-source platform that lets health researchers study the “screenome” – the digital traces of our daily lives – while protecting participants’ privacy."

The Democracy of Sound

[Performance 2026-02-27] This event - an 89-minute “happening” - explores the democratic possibilities that emerge when we create and improvise together.

Time-Related Considerations for Modeling Event-Based Data Collected via Ecological Momentary Assessment

This article provides an overview of survival analysis, describes several time-based considerations for modeling event-based EMA data using survival analysis, and provides several illustrative examples of the different time-based considerations...

How self-efficacy and response efficacy change with risk and adaptation behaviors during tropical cyclones

From our analysis of three (2020–2022) tropical cyclones in the U.S. that threatened 4,306 participants, we demonstrate that (1) time moderates the positive association between momentary levels of personal risk and response efficacy and (2) adaptation behaviors positively associate with momentary levels of response efficacy, but not self-efficacy...