My research work is situated within social studies of data analysis – at the intersection of Information Science (IS), Computer Science (CS), and Science & Technology Studies (STS). I research how people understand, interpret, organize, analyze, and visualize large scale datasets with and through computational algorithms and specialized, often statistical, techniques.
I ask questions such as: What forms of human work constitute large-scale data analyses? How do people evaluate and contextualize data analytic results? How can we know when large-scale data analysis has or hasn’t worked? How can we better communicate data analytic results and processes? How can we build better systems to identify and accommodate a more human-centric view of data analysis?
Research Interests: Social Studies of Data Analysis, Critcal Data Studies, Critical Design, Machine Learning, Digital Humanities, UI & UX Design and Research, and Data Visualizations.