Research Portfolio
My research focuses on how individuals and groups use emerging technologies, including online communications, interactive media, and AI, to learn and communicate complex information. I integrate psychology experiments on individuals and networked groups, computational models of human behavior, AI software development, and large-scale social media analyses to study this topic from multiple angles. A complete list of publications is on Google Scholar, and open software is on my GitHub, including this R script for predicting the onset of shared narratives in experimental online social networks.
How shared narratives emerge in decentralized online networks. Network topology and narrative complexity jointly determine whether groups converge or fragment.
Developed an LLM-based pipeline to extract and visualize belief systems from natural language, applied to Covid-19 vaccine tweets.
Data mined from online discussions, psychology experiments, and data visualization integrated to develop and evaluate persuasive educational interventions.
Data science studies on political belief and narrative dynamics on social media using data mining, NLP, and network science.
Longitudinal surveys over 2,000 participants show how preexisting distrust in politicians and medical science shaped COVID-19 skepticism.
Community design initiative fostering local belonging through narrative, urban intervention, and civic programming — home of HomeTown, Faithscape, and the Decree.
Interdisciplinary research on religion as a system of narrative, belief, and community building — applying data science, urban design, and cognitive psychology.
Creative technology and media art project applying psychological and media theory in real-world digital environments. Home of the Arcade and Peepshow.