Artificial-Intelligence & Human Analytics Lab
How do AI and big data change the way people explore, create, and innovate?
We are a group of computational social scientists who study how human and artificial intelligence systems shape exploration, knowledge production, creative work, and innovation. Methodologically, our lab uses a range of computational social science approaches, primarily leveraging large-scale digital trace data. We apply natural language processing, network science, and statistical modeling to design social measurements and extract patterns and insights.
The AHA Lab is part of the College of Information Science and the Graduate Interdisciplinary Programs in Statistics & Data Science and Cognitive Science at the University of Arizona.
People
Principal Investigator
Lab Members
PhD Student Collaborators
Ph.D. Candidate
Ji Eun (Jinny) Kim
University of Michigan
Project: The impact of AI on knowledge production and consumption.
Computational Social Science, Human-AI Interaction, Online Communities, Social Media
Ph.D. Candidate
Haohan Shi
Northwestern University
Project: The unequal returns to LLM-assisted writing in science.
Science of Science, Scholarly Communication, Retracted Papers, Computational Social Science
Master Students
Master Student
Shenming Ji
Northwestern University
Project: Scientific data reuse and research innovation.
Human-AI Interaction, Computational Social Science, Computing Education
Master Student
Yuze Jin
University of Michigan
Project: Brainstorming with GenAI: search, uptake, and anchoring.
Statistical Machine Learning, Causal Inference, Trustworthy AI, Human-AI Interaction
Master Student
Yubo Zhou
University of Michigan
Project: The impact of AI on people's future thinking.
AI for Good, Computational Social Science, Human-AI Interaction
YL
Master Student
Yizhou Li
University of Michigan
Project: The impact of AI on research and information seeking.
Computational Social Science, Human-AI Interaction
Master Student
Yifei Xu
University of Michigan
Project: How dataset use diversity shapes scientific impact and retention.
Computational Social Science, AI for Science, Machine Learning Systems
Master Student
Chenxi Jiang
University of Michigan
Project: When data accelerates discovery and deception: a large-scale analysis of data reuse and retractions.
Computational Social Science, AI for Science, Machine Learning Systems
Master Student
Suliang Jin
University of Michigan
Project: Leveraging LLMs to represent research methodologies and derive insights from them.
Human-Centered AI, LLM Reasoning and Evaluation, Computational Creativity
Interested in Joining?
Prospective Ph.D. students interested in human-AI interaction, computational social science, science of science, creativity, and innovation are welcome to learn more about the University of Arizona Ph.D. in Information program.
Master's and undergraduate students from any institution who are interested in research opportunities are also welcome to reach out by email with a CV, related information, and a short description of their research interests.
View Ph.D. Admissions and Funding Information Email with CV and Interests