Rate My Professor Hong Huang

Huang's research specializations include data management and practice with a focus on socio-cultural and curation issues, AI/ML data practice and sharing, IT applications in library and education, bio/health information and learning, bioinformatics, and information and learning technology. He has served as Principal Investigator or Co-Principal Investigator on collaborative and federal grant awards, including from the USDA, in areas such as data management and practice and IT in learning science. With over 140 peer-reviewed publications and conference presentations, his influential works encompass topics like genomic data curation, health information-seeking behaviors, crowdfunding success prediction, and livestreamed learning motivations. Key publications include "Assessing the importance of content versus design for successful crowdfunding of health education games: online survey study" (JMIR Serious Games, 2024, with H. Yu and W. Li); "What remains now that the fear has passed: Developmental Trajectory Analysis of COVID-19 Pandemic for co-occurrences of Twitter, Google Trends, and Public Health Data" (Disaster Medicine and Public Health Preparedness, 2023, with B. Rathke and Y. Han); "Metadata functional requirements for genomic data practice and curation" (Information Research, 2023, with J. Qin); "Entrepreneurship success: predicting crowdfunding campaigns using model-based machine learning methods" (International Journal of Crowd Science, 2022, with M. Oduro and H. Yu); and "Exploring the motivation of livestreamed users in learning computer programming and coding" (The Electronic Journal of e-Learning, 2021, with Y. Li). Huang contributes editorially as Associate Editor for the Journal of Information and Learning Sciences (Emerald) and Editorial Board Member for Library & Information Science Research (Elsevier).