He uses data science and web analytics methods to answer social science questions in different contexts, such as scholarly communication, health informatics, mis/disinformation, and user information behavior. 

Professor of Data Science at the Information School at the University of Sheffield and Research Associate at the Oxford Internet Institute (OII) at the University of Oxford.

He is an Assistant Professor at the University of South Carolina Department of Statistics. His research focuses on developing novel methodologies for datasets with complex dependence and big data, such as Spatio-temporal and spatial data. He develops computationally scalable statistical approaches that capture the essence of data and address both theoretical and computational challenges. He collaborates closely with researchers from different disciplines worldwide in various multidisciplinary research and consultation projects 

He holds a Ph.D. in Communication and Information from the University of Tennessee in Knoxville (UTK). He is a UX lecturer at UTK. His research interests include Research Impact, Human-Computer Interaction, Social Media, and Digital Health. 

She is a Ph.D. student in the School of Information Science at the University of South Carolina. Her research examines the social and structural factors that shape users’ interactions with mental health information and explores how users navigate these factors through emerging information and communication technologies 

Jake is a Ph.D. candidate at the University of South Carolina, Department of Statistics. He was a member of the CQAM Lab at the University of Toronto in 2019, focusing on using Machine Learning methods to solve industry financial problems. He is interested in applying advanced statistics in different domains, including information science, finance, economy, and computer science.

Amirreza Kalantari

He joined the University of South Carolina, School of Information Science in August 2024.

She is a Ph.D. student at the University of South Carolina.  She is interested in exploring how data and technology can be applied to address contemporary information challenges. Through her doctoral studies, she looks forward to contributing to interdisciplinary projects that connect people, data, and technology.

She possesses a diverse background in computer science, teaching, communication, and research. She is driven by a passion for bridging the gap between Computer Science and Information Science to establish connections and explore their synergies. She is committed to enhancing people's information literacy by implementing her research projects, thereby enabling them to navigate the world of mass information and avoid falling prey to misleading information 

Taylor Collier 

She is an AI librarian at the College of Charleston, with interests in applying artificial intelligence across a wide range of areas in information science.

He is a Ph.D. Candidate in the Department of Computer Science and Engineering at the University of South Carolina. He is interested in software testing, machine learning, and data science. Alireza worked in our lab as a data engineer and data scientist between April 2020 and September 2021. 

He was a data science research assistant in 2018 and 2019 while he was a Ph.D. student in the Department of Computer Science and Engineering at the University of South Carolina.

She is a Ph.D. candidate in the School of Information Science at the University of South Carolina in Columbia. In 2019, she was a graduate assistant.

She was a graduate assistant while she was an MLIS student. Her interests include metadata policy and equity in information organization