AI & knowledge production
How does generative AI change the work behind scholarly claims? I am examining how people trace a claim to its sources, evaluate its credibility, and assign responsibility for it.
Research
How people organize when the terms of work change.
I study how people coordinate work and negotiate expertise amid technological and organizational change. My projects span professional practice, interdisciplinary collaboration, and public-facing teams.
Emerging forms of organizing
When the team is also the content.
How do teams adapt when their work is visible as it takes shape?
My dissertation examined esports content teams as a case of emerging forms of organizing. These teams compete while sharing scrimmages, matches, and parts of their everyday work with an audience. They adapt to opponents and performance pressures while navigating expectations about access, entertainment, and authenticity.
I combined digital observation with computational analysis of public online activity, documents, and performance records to trace how teams assessed situations, adjusted plans, and learned in public. Their practices also shaped expectations about competition and content production. The project connects team adaptation with institutional work.
Public-facing teamsDigital observationComputational analysisTeam adaptation & institutional work
Work in progress
Current projects.
I am developing three projects on generative AI in knowledge, education, and work.
AI & education
As AI enters teaching and learning, I am interested in how instructors and students communicate with one another, and how they negotiate trust, judgment, and responsibility.
AI & resilience
I am exploring how workers in emotionally demanding jobs use AI for support and how they judge whether those interactions help them adapt.
Research program
Three settings, a shared question.
How do people establish a workable understanding of expertise, agency, and collaboration as their work changes?
AI enters professional work
In research on legal practice, my coauthors and I found that lawyers, law librarians, and other staff interpreted intelligent technologies through different ideas of expertise, accessibility, and efficiency. Those differences matter for how a profession defines the value and limits of AI.
People work with intelligent systems
Intelligent systems participate in how people communicate and coordinate work. My research examines how people negotiate agency and control with these systems and how users define the capacities and limits of generative AI.
Collaboration crosses knowledge boundaries
Interdisciplinary ties connect people with different expertise, yet those collaborators may know little about one another’s domains. I study the communication and network conditions that make knowledge sharing and identification across boundaries possible.
Read the work
From questions to papers.
Several publications include models and figures that make the relationships more concrete.
Explore publications and figures ↗