I study science, scholarship, and the scientific workforce using massive data to inform decision-makings regarding science policies. I am currently working on projects to build the infrastructure for the study of the scientific workforce based on large-scale, heterogeneous and longitudinal data, aiming to identify variables that impede and facilitate the cultivation of a competitive scientific workforce. I mostly teach in the areas of information technology, database management, statistical data analysis, data interoperability, information visualization, and research methods.
Dr. Chaoqun Ni is an Assistant Professor at the Information School, University of Wisconsin-Madison. Prior to this, she was an Assistant Professor at the School of Library and Information Science at the University of Iowa, and School of Library and Information Science at Simmons College. Dr. Chaoqun Ni got her Ph.D. in Information Science (minor in Statistics) from the School of Informatics and Computing, Indiana University Bloomington.
I am looking for highly-motivated Ph.D. students to work on cutting-edge problems in scholarly data mining & analytics, and data-driven science of science. Students with background in NLP, machine learning, statististics and information science are welcome to apply. Please contact me by email if you are interested.
Chaoqun Ni, Ph.D.
No regular office hours currently; Please request appointments by email.
**I recently got an NSF grant to study the mobility and retention of HBCU faculty!
**I am currently looking for highly motivated Ph.D. students to work with me. Please send me an email if you are interested.**