Kelvin is an Assistant Professor of Digital Misinformation at Syracuse University’s School of Information Studies. Prior to that, he was a Visiting Assistant Professor of Information Systems at the University of Texas, Rio Grande Valley. An immigrant from Ghana, he earned his Ph.D. and MS from the University of Texas, Rio Grande Valley, and New York University.
Kelvin likes to spend his time with his two lovely daughters, Emmanuelle, and Dora. His family regularly volunteers at homeless shelters and with the International Rescue Committee. He also enjoys playing board games like chess and Scrabble.
Kelvin has industry experience as a data conversion specialist, a developer, and a data scientist. He has also acted as a reviewer for journals and conferences like Journal of Management Information Systems, Journal of Electronic Commerce Research, Hawaii International Conference on System Sciences, and Americas Conference on Information Systems.
Kelvin’s primary research leverages econometric models, machine learning algorithms as well as lab and field experiments and consists of two, often overlapping streams. The first stream focuses on information diffusion and big data use, specifically misinformation, where his interest is in investigating and developing mitigating strategies for combating the propagation of misinformation on social media. The second stream is on the intersection of behavioral economics and information decision-making in virtual communities.
As a graduate student, his research received several awards including the first-place award in the 2018 UTRGV Graduate Research Symposium, Ph.D. Student Excellence Award in Information Systems 2018, a National Science Foundation travel grant in 2019, the Best Poster Award at the 14th International Conference on Design Science Research in Information Systems and Technology in 2019, the Robert C. Vackar Endowed Scholarship Award in 2020, the Robert Vackar College of Business & Entrepreneurship Research Award 2020 and quite recently the 2021 Ph.D. Project – Baruch College Doctoral Research Fellowship.
His research has led to the development of several prototype artifacts including a malicious entity detection and a fake news index.
Kelvin has taught a variety of courses including Social Media Analytics, Healthcare Analytics, Health Computer Information Systems, Introduction to Business Programming, Management Information Systems, Business Research, Business Statistics, and Computer Information Systems.