Located in the heart of Midtown in Detroit, Michigan, Wayne State University is a center of excellence for urban and community-based research. WSU is one of only two U.S. public universities to hold both the "Highest Research Activity" (R1) and "Community Engagement" designations from the Carnegie Foundation for the Advancement of Teaching.
WSU is a member of the University Research Corridor, an alliance between Wayne State University, University of Michigan, and Michigan State University. These three universities contribute 95% of the research conducted in Michigan, and are focused on revitalizing Michigan's economy through education and entrepreneurship. With the expansion of the 12-block research and technology park TechTown, the 2015 opening of the Integrative Biosciences Center (IBio), and with over $245.8 million in research expenditures, WSU is a robust contributor to the URC's mission.
Leading the Association of Research Libraries in the percentage of budget dedicated to electronic resources, our libraries allow faculty and students to access resources wherever they are, ensuring that our contributions reach local and global audiences. For more on the research tradition at Wayne State University, visit Wayne State University's Division of Research.
A selection of research activities from The School of Information Sciences faculty is listed below:
Tim Bowman co-authored a paper accepted to Scientometrics Journal titled “Measuring Social Media Activity of Scientific Literature: An Exhaustive Comparison of Scopus and Novel Altmetrics Big Data”. He also co-authored a paper submitted to Behaviour & Information Technology titled “Investigating the Impact of Online Tech Articles by Deploying Social Usage Indicators and Semantics”. He presented a paper entitled "iCanHazPDF:Tweets requesting publications behind the paywall.” at 4AM Altmetrics Conference in Toronto in September.
This pilot study was conducted to examine library and information science (LIS) students' perceptions of their level of preparation for becoming culturally competent LIS professionals. Aproximately 130 LIS students participated in an electronic survey, which contained a Likert scale measuring three areas of cultural competence: self-awareness, education, and interaction. A gap analysis technique was employed to detect discrepancies between students' prior knowledge and actual learning relative to cultural competence. Students indicated that all of the concepts introduced in this section were important to learn but their level of knowledge gained varied from no or low levels to moderate levels of actual learning. The results of this study were published in the Journal of Education for Library and Information Science, 52 (4). 251-264. This paper also received the 2011 ALISE Best Conference Paper Award.
Misinformation: With co-editors Brian Southwell (RTI, Duke University, UNC, Chapel Hill) and Emily Thorson (Syracuse University), I edited Misinformation and Mass Audiences, a volume in Andrew P. Dillon’s Information series published by the University of Texas Press in January 2018. Among the chapters, which were written by researchers in the health, environmental, political, communications, information, and behavioral sciences, is my own chapter, "Misinformation and science: Emergence, diffusion, and persistence". An essay adapted from the introduction to our work appeared in American Scientist (https://www.americanscientist.org/article/the-persistence-and-peril-of-misinformation). In a distinct but topically related project, I am working with Rick Wesson of Support Intelligence to cultivate a theory that opens a new path to how we approach malware.Health: I am working with researchers at the UNC Gillings School of Public Health to complete a systematic overview of system dynamics methods in health research, and a study of research bias in relation to Modified Risk Tobacco Products (MRTP). Through the Duke Network Analysis Center, where I am also a visiting research fellow, I am continuing work with Electronic Health Records.Two recently completed projects include one led by Dr. Stuart Borrett (UNC-Wilmington, Duke Network Analysis Center) that combines bibliometric, network, and review techniques to analyze and present recent Ecological Network Analysis (ENA) research, which will appear in Ecological Modelling; and a second led by Dr. Jill Baron of the US Geological Survey's John Wesley Powell Center for Ecological Analysis and Synthesis, which was recently published in BioScience (open access manuscript available in Science Base).