Tag: Nilam Ram

Affective Sensitivity to Air Pollution (ASAP): Person-specific associations between daily air pollution and affective states

Individuals’ sensitivity to climate hazards is a central component of their vulnerability to climate change. In this paper, we introduce and outline the utility of a new intraindividual variability construct, affective sensitivity to air pollution (ASAP)...

Stanford Psychology Podcast: Learning from The Human Screenome Project

Anjie chats with Dr. Nilam Ram. Nilam is a Professor of Communications & Psychology

Modeling and managing behavior change in groups: A Boolean network method

Social influence processes can induce desired or undesired behavior change in individual members of a group. Empirical modeling of group processes and the design of network-based interventions meant to promote desired behavior change is somewhat limited...

Climate Impacts of Digital Use Supply Chains

Information and communications technology (ICT) has become an indispensable part of our lives. Prior research on climate impact of ICT devices and services mostly makes use of life cycle assessment and energy modeling frameworks focused on embodied greenhouse gas (GHG) emissions.

Data Democracy

Data live in graphs and statistics.

Data Science & Aging

Have you ever wondered about the cutting-edge world of aging research? Is it about the quest for immortality, or perhaps revolutionizing geriatric healthcare? How do academic and industry perspectives differ in dealing with this vital challenge?

Stanford Mini-Conference on Longitudinal Methods

Presentations developed in conjunction with COMM 365/PSYCH 289 Longitudinal Data Analysis in Social Science Research (Instructor Prof Nilam Ram).

Winter 2024 Class: Ensemble Sonification Of Temporal Data

An ensemble course with research components for making data-driven music. Improvised and composed pieces make use of large, time-based data sets chronicling humans' digital-life and real-life experiences, and explore how temporal data can be transformed into live musical performances.

Time for Change

The devices in our pockets and on our wrists often demand our immediate attention. They also facilitate full-scale reconsideration of how we study and optimize human behavior.

The Affective Dynamics of Everyday Digital Life: Opening Computational Possibility

Up to now, there was no way to observe and track the affective impacts of the massive amount of complex visual stimuli that people encounter “in the wild” during their many hours of digital life.