PhD student in Computing at Boise State University · RISE Fellow
Lorraine Gaudio
I study how AI is reshaping knowledge creation and collective learning in research and education communities.
My research examines how people trust, verify, adapt, reject, and share AI-mediated practices, and how those patterns affect collective intelligence, scientific integrity, and human judgment.
Current research focus
AI systems are becoming part of how researchers generate ideas, evaluate evidence, make decisions, and learn from one another. I study these changes as features of a larger sociotechnical system involving people, AI tools, institutions, networks, practices, and norms.
Across this work, I ask how AI-mediated practices spread through communities, how people decide when to rely on or question AI, and how repeated interactions may shape collaboration, diversity of knowledge, and scientific self-correction.
Methodologically, I draw on social network analysis, data analytics, and mixed methods. I am also developing computational and agent-based modeling approaches to study human-AI systems over time.
Explore my work
Current PhD research
I examine how AI-mediated practices move through research communities and how trust, verification, and social learning shape their adoption.
RISE Fellowship
As a RISE Fellow, I study the societal impacts of emerging technologies through interdisciplinary and stakeholder-engaged research.
Human-Centered AI Collaborations
I contribute to interdisciplinary projects examining how AI is changing research, education, and professional practice.
Teaching and Learning
I teach Introduction to R Programming and design learning environments centered on coding, AI use, student agency, and reproducible practice.
Selected scholarship
Gaudio, E. L. (2024). The dawn of advanced collaborative practices: Charting transdisciplinary synergies through thematic and social network analysis within Boise State’s Grand Challenges initiative. Boise State University Theses and Dissertations.
Read my master’s thesis
Gaudio, L., Larson, A., Dunn, L., & McClure, C. J. W. (2023). Temperature changes are associated with the breeding phenology of Mountain Bluebirds (Sialia currucoides) in southern Idaho. The Wilson Journal of Ornithology.
View the publication
Social Network Analysis
My master’s research used social network analysis to examine interdisciplinary collaboration and the structure of research relationships.
Read about my master’s research