Our Projects

AI Literacy in School Libraries project

AI Literacy

This three-year project, funded by the Institute of Museum and Library Services (IMLS) Laura Bush 21st Century Librarian Program, supports AI literacy in school libraries. With $192,843 in funding, it aims to advance innovation, education, and the vital role of libraries in shaping informed communities.

AI Peer project

AI Peer

Investigates how large language models and other artificial intelligence methods can support peer and expert review of academic documents. This includes developing and evaluating algorithms and strategies.

Project Highlight: Using Large Language Models to score journal articles for quality.

PhD students and ChatGPT project

Ph.D. Students & Gen AI

Explores how doctoral students perceive and interact with ChatGPT-generated content, focusing on information literacy skills, trust judgments, and verification strategies in academic contexts.

HIV and Covid project

HIV and Covid

Investigating pandemic-related disruptions in HIV care, this project examines how COVID-19 impacted HIV treatment access, retention, and health outcomes, using multilevel and electronic health record data.

Battle for Better Health project

Battle for Better Health

Using health literacy frameworks and AI to address obesity in South Carolina, this project develops interventions that improve health behaviors and access to reliable health information. Funded by the National Library of Medicine Region 2.

NSF EPSCoR and NIH IDeA project

NSF EPSCoR & NIH IDeA Impact

This evaluation project measures the effectiveness and broader impacts of NSF’s EPSCoR and NIH’s IDeA programs nationally, assessing how these funding mechanisms influence research capacity, equity, scientific output, and long-term institutional growth.

The article is featured in Science.

COVID-19 misinformation project

COVID-19 Misinformation on YouTube

Evaluates the prevalence, thematic content, sentiment, and downstream information-seeking behavior associated with COVID-19 misinformation on YouTube, using topic modeling and sentiment analysis to identify patterns in misleading health content.

Vaping misinformation project

Vaping Misinformation

Analyzes how myths, false claims, and misleading content around vaping spread on social and digital media, identifying influencing factors and informing countermeasures for public health communication.

Mosaic of Communication Science project

Mosaic of Communication Science

Performs a 20-year bibliometric and network analysis of publication trends in communication science to map intellectual trajectories, topic evolution, collaboration networks, and influence over time.