News & Updates

Predicting Daily Affect Valence: The Role of Perceived Control and Personality Traits

Predicting Daily Affect Valence: The Role of Perceived Control and Personality Traits

2025-10-08 3:09 PM
In daily life, social interactions vary in how emotionally and cognitively engaging people feel, and these situational qualities may amplify or reduce the influence of personality and control in the moment. In this study, I draw on intensive longitudinal data from the iSAHIB...
Demystifying Data Donation Methods to Advance Digital Health Research

Demystifying Data Donation Methods to Advance Digital Health Research

2025-10-06 6:07 PM
[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

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

2025-10-02 8:42 PM
[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'"...
The Psychology of Pain: Exploring the Effects of General Health as a Moderator Between Daily Perceived Control and Pain

The Psychology of Pain: Exploring the Effects of General Health as a Moderator Between Daily Perceived Control and Pain

2025-09-24 1:44 PM
Pain is a complex experience that varies widely between people and within individuals over time. People with poorer health, especially individuals with multiple comorbidities, generally experience more pain than those with better health...
Mapping the human screenome: Our vast digital lives

Mapping the human screenome: Our vast digital lives

2025-07-15 4:11 PM
"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."
Congratulations to the Graduating Members of the Change Lab!

Congratulations to the Graduating Members of the Change Lab!

2025-06-26 2:15 PM
Congratulations to Charles Shi, Julia Fischer, Parker Daley, Rebecca Trockel, Sam Prieto Serrano, and Tristan Peng!
The Evolution of EEG-Based Music Research: Methodological Transitions and Neurophysiological Insights from the 1970’s to the Present

The Evolution of EEG-Based Music Research: Methodological Transitions and Neurophysiological Insights from the 1970’s to the Present

2025-06-24 8:50 PM
This review examines the methodological progression of EEG-based music research from 1970-2025, analyzing how advancing technology and evolving theoretical frameworks have shaped the field...
Shockvertising: The Efficacy of Graphic Content on Social Media Campaigns for Animal Rights Non-Profits

Shockvertising: The Efficacy of Graphic Content on Social Media Campaigns for Animal Rights Non-Profits

2025-06-24 8:44 PM
While shock advertising is omnipresent in our media landscape, the research on its applications for non-profit organizations is minimal. This study evaluated the efficacy of short-form video content in social media campaigns based on shock level, with the goal of assessing and informing advertising tactics for non-profit organizations benefiting animal rights causes...
Storms in the Screenome: An Analysis of Digital Information Acquisition During Extreme Weather Events

Storms in the Screenome: An Analysis of Digital Information Acquisition During Extreme Weather Events

2025-06-24 8:25 PM
As the amount of time people are spending on their smartphones also increases, the “Weather Information Landscape” is shifting away from “traditional” communication sources like radio and television toward digital media, including social media and smartphone-enabled weather communication (Krocak et al., 2024). However, the content people see – and the sources of that content – in this new landscape are not yet well accessible or understood...
Evaluation and Comparison of Statistical Models for Intensive Longitudinal Data

Evaluation and Comparison of Statistical Models for Intensive Longitudinal Data

2025-06-24 7:58 PM
Recent advances in machine learning, data availability, and computational resources have given rise to complex nonlinear models of psychological processes. Though theory can help guide model selection, there is no widely agreed-upon framework for identifying models that are appropriately complex and accurate for examining the phenomenon of interest...