This page contains both completed and on-going projects. If you would like to contribute to any project, please get in touch over email.

From Personal to Societal Informatics: Measuring Well-Being at Arbitrary Scales of Social Organization

My dissertation work is exploring new social measurements for guiding both individual behavior change and public policy. Traditional economic measures like per-capita income and GDP have become de-coupled. More money is not necessarily making us more satisfied. Human centered measured like gross national happiness (GNH) and the human development index (HDI) seek to better represent the human experience, but struggle to represent individuals (and entire societies) as single numbers.

My approach is to use a network representation of an individual to capture relationships between basic human needs, and the ways in which those needs are satisfied (satisfiers). A bipartite network, with shared need nodes, enables aggregation of networks representing individuals into multi-layer networks representing groups of people at arbitrary scales.

The methodological approaches in this project are:

Publications and Presentations for this Project

Current Status:

Co-Tracking to Direct Attention in Interpersonal Perception

Co-tracking is when you not only track your own mood, for example, but also your perception of someone else’s mood. I’m currently developing a research plan to explore the use of co-tracking technology in close relationships. Will be recruiting participants within the next few months.

I learned how to make a serverless backend in AWS for this project. I learned scalable database design in DynamoDB, easy identity management with Cognito, and some basic javascript lambda functions called directly from the React App. This app could live on the AWS free tier indefinitely, and scale to many many users with a bit of money.

I worked with a team of undergraduate and masters students on the app. They did a lot more of the front-end work. I did a bit of information visualization design, focusing on visualizing uncertainty from multiple data sources.

Personal Dream Informatics

I conducted a large scale (N=283) mixed-methods survey with a targeted audience of lucid dreamers and dream trackers, to develop a better understanding of how dreams influence ourselves, and the technology that mediates it (largely dream journals and social dreaming practices).

Dream Information Systems Conceptual Model

Out of this study came the idea for “self-information systems” as an appropriate scope of analysis for individual level behavior change. I was excited to use a system dynamics style model to summarize the findings.

Dream Informatics System Dynamics

Currently under review.

Social Interfaces for Self-Tracking in Bipolar Disorder

I interviewed 17 clinicians to get their feedback on a variety of novel social interfaces for supporting self-tracking in the context of managing bipolar disorder.

Network representation of users and features

Interesting findings:

Published in DIS 2021 The Multiplicative Patient and the Clinical Workflow: Clinician Perspectives on Social Interfaces for Self-Tracking and Managing Bipolar Disorder

Completed Projects