Tag: Nilam Ram

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...

Demystifying Data Donation Methods to Advance Digital Health Research

[Workshop on October 25, 2025] "Curious about teens’ digital lives? There’s a better way than guessing. Ask them directly and let them share their data with you..."

Tracking, modeling, and modifying human activity, performance, and health: Ideas emerging from the merging of super-intensive longitudinal paradigms and AI

[Talk on October 3, 2025] "Nilàm Ram, professor of communication and psychology at Stanford University, will speak on ,Tracking, modeling, and modifying human activity, performance, and health'"...

Regression and Statistical Learning: K-Fold Cross-Validation

Mapping the human screenome: Our vast digital lives

"In this episode of School’s In, Professor Nilam Ram discusses the Human Screenome Project, a research study that explores cell phone usage and what it says about the way we process information."

Positive Affect Dynamics

Here, we examine how key temporal properties—including variability, instability, inertia, and reactivity—relate to adaptive functioning and health-relevant outcomes. These dynamic approaches extend traditional assessment frameworks, offering greater predictive utility for understanding health trajectories beyond static measures...