Shengang Wang

Assistant Professor

Shengang Wang earned his PhD from the University of Wisconsin-Milwaukee’s School of Information Studies and joined SLIS in Fall 2025. His research focuses on the information behaviors and needs of vulnerable populations, particularly sexual and gender minorities, people with disabilities, and individuals with chronic conditions. Using mixed-methods approaches — including qualitative, quantitative, and digital ethnography — he examines how people seek, share, and engage with information in online and community contexts, with the goal of advancing information behavior research and promoting equity, accessibility, and inclusion.

 

Education

  • PhD in Information Studies, University of Wisconsin-Milwaukee
  • Master of Library Science, Peking University
  • Bachelor of Information Management and Systems, Peking University

Courses

  • LIS 458 Database Management
  • LIS 485 Introduction to Programming
  • LIS 488 Technology for Information Professionals

Area of Expertise

Human information behavior, human-computer interaction, health informatics, digital libraries

Professional Affiliations & Memberships

  • Beta Phi Mu International Honor Society
  • Chinese American Librarians Association (CALA)
  • The Association for Information Science and Technology (ASIS&T)
  • The Association for Library and Information Science Education (ALISE)
  • The Association of Internet Researchers (AoIR)

Shout-outs from students and alums

Ashten Vassar-Cain ’27MS working with some archival images

Building Community Archives

Graduate student Ashten Vassar-Cain ’27MS brings a human rights approach to library and information science. We spoke with him about community archives, centering survivors, and the immersive training at Simmons.


Shengang Wang in the News

Clickworker 3d-printed by Max Gruber via Creative Commons

Strengthening Information Literacy in Divided Times

Generative AI, rapid information exchange, and political polarization have reshaped the way we interact with information. A few faculty weigh in on the risks involved in using and the importance of detecting AI in the information we consume.