Meet Our Visiting Scholars!
Faculty Interested in a Visiting Scholar Position
The School of Information Studies is delighted to host visiting scholars who advance and extend the research interests of our faculty through shared research projects, common interests and new opportunities.
We host several visitors each academic semester based entirely on faculty research interests.
We encourage potential visitors to contact particular faculty to ascertain the opportunity and to help build their research plan for their visit.
Faculty interested in a visiting scholar position should:
- Apply in October (at the latest) for a position in the Spring; and in April (at the latest) for a position in the Fall.
- Provide documentation of current employment preferably in the form of an official letter or ID issued by their organization.
- Submit an application letter describing plans for the visit, including research plan, founding sources, evidence of English proficiency and the dates for the visit.
- Visiting faculty must be fully funded from an outside source for stipend, living expenses, travel, health insurance, and research data collection if necessary, etc.
Once you are approved you will be invited to present your research to the faculty at the beginning of your visit.
Lu Guo, sponsored by Professor Bei Yu, is a master student of School of Public Administration, Sichuan University, China. Lu majored in Information Science, and her research interests include information retrieval and applied data science. Her most recent research project is how the public’s queries of common diseases match with over-the-counter drug information in searching context, which will use information retrieval and natural language processing methods and technology. And the research aims to help the public get medication advices more effectively and conveniently by using.
Institution: Nanjing University School of Information Management
Supported by the China Scholarship Council, Zeng has been here working with Professor Daniel Acuna on Building a recommendation system to indicated where citations are needed in a document, then automatically filling in, the proper citation. Zeng has completed the first phase by developing a tool that assess where citation is needed. He is continuing on the second phase of the project. The tool will have uses in academia and will be helpful in determining when documents might be considered “fake news,” if they are lacking supporting reference and citation.