Hello, welcome to my website. I’m Yuanxi Fu, a doctoral student in Information Science at the School of Information Sciences, UIUC. I am interested in how science is argued in this big data and social media era. And I use network analysis and natural language processing to study argumentation in science. You can view my CV here.

Below is a list of projects that I am/will be working on. I keep looking for collaborators on projects with *. If you are interested, please contact Prof. Jodi Schneider for an independent study and mention the project in your email.

On-going projects

  • Understanding Evidence Production and Synthesis Using Network Analysis: This project uses network analysis to understand global evidence production and synthesis that supports public health recommendations. Currently, I am preparing a manuscript with my teammates (Prof. Jodi Schneider, Prof. Caitlin Clarke, Mansi Joshi, Mark Van Moer).
  • Vulnerability and Biomedical Knowledge Graph Technologies: I aim to advance the scholarship of ethics of vulnerability by putting it in contact with an emerging technology: biomedical knowledge graphs. This is an on-going work in collaboration with Prof. Peter Darch.
  • Computable Bibliography*: This project aims to develop a series of computer scripts to turn the bibliography of a document (e.g., a publication, a grant proposal) into a computable object and generate insight into the quality and diversity of the reference cited. We use bibliographic data retrieved from large citation database (e.g., Scopus), descriptive statistics, and network analysis to achieve this goal. This project is programming-intensive, and I welcome anyone interested in tool-building. [Project GitHub repo]

Upcoming projects

  • WhoFundedIt Knowledge Graph*: This project aims to create a knowledge graph, which can be queried to identify funding source of a given publication. I will start to work on it in Fall 2022.