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College of Information and CommunicationsSchool of Library and Information ScienceEmial: Ehsan2[at]sc[dot]edu
I am an Associate Professor in the School of Information Science at the University of South Carolina. I am also a member of the AI-Peer Project at the University of Sheffield and an affiliated faculty member of the USC Big Data Health Science Center.
I lead the Hi Da Research Lab, where I have had the opportunity to collaborate with undergraduate and graduate students, as well as international scholars across different disciplines. If you are interested in working with me as a co-author, visiting scholar, and Ph.D. student, drop me an email.
In my research projects, I utilize data science methods to address questions in various contexts, including health informatics, science of science, social media analysis, and applied AI. The outcomes of my projects have received recognition through publication in academic journals and conferences, including JAMA Network Open, The Journal of Medical Internet Research, Information Processing and Management, The Journal of the Association for Information Science and Technology, and The Journal of Systems and Software. Essential Science Indicators has acknowledged multiple of my papers as highly cited contributions, ranking them in the top 1%.
I enjoy teaching data visualization, web analytics, user information behavior, research methods, information retrieval, data analytics, and management at the undergraduate, master's, and Ph.D. levels.
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Conducting a large-scale survey across 20 countries to explore the use, benefits, barriers, and trust associated with Generative AI.
Through analysis of 600K tweets about Covid-19 and applying the framing theory, we found that trending Twitter hashtags can identify frames that reflect public opinions in a health crisis and measure public attention to those frames. This study is published in the Journal of Medical Internet Research
In collaboration with The Office of the Vice President for Research at UofSC, I am leading a project that aims to evaluate the impact of NSF’s EPSCoR and NIH’s IDeA programs. More information
Our paper was accepted in the National Communication Association (NCA) 107th Annual Convention/ Public Relations Division
Presented as a keynote at Altmetrics 20 about “science and society in the age of disinformation”.
Received $25,000 grant from The UofSC Office of the Vice President for Research to study COVID-19 misinformation on YouTube.
Our paper is accepted to be published in Journal of Information Science! We found big data is no longer limited to computer science research, but it influences other academic disciplines such as education, urban informatics, business, health, and medical sciences. Download Preprint.
Our research is published in Information Processing and Management. We Identified biomedical research papers attracting more Facebook interest and measuring relationships between Facebook and citation counts for these articles Preprint /Publisher version
Our paper spotlights by the Society for Scholarly Publishing.
A great trip to Silicon Valley to visit high tech companies. You can read stories of these visits LinkedIn + Google, Facebook + Instagram, Pinterest, eBay and, Verizon Innovation Center
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