I am an Associate Professor in the Information School at the University of Washington. I co-founded the DataLab and direct the Center for an Informed Public. I study the Science of Science and worry about the spread of misinformation. My laboratory consists of millions of scholarly papers and the billions of links that connect these papers. I develop knowledge discovery tools to both study and facilitate science. In particular, I am interested in the origin of scholarly disciplines and how sociological and economic factors drive and slow the evolution of science.
- Carl Bergstrom and I wrote a book, Calling Bullshit: The Art of Skepticism in a Data-Driven World, based on our class. It is now available on Amazon.
- My colleagues and I will be starting a new Center for an Informed Public at the UW thanks to the Knight Foundation.
- Congratulations to Lanu Kim who defended her dissertation on "The Impact of Technology on Work Practices" where she looked at the effects of academic search engines on what scientists read and subsequently cite. She will be starting a postdoc at Stanford University this fall working with Daniel McFarland.
- I am always looking for students and postdocs to join the lab. Please feel free to email me and we can discuss open positions.
- Metascience. Stanford University (Sept. 7)
- Keynote: National Assoc. for Business Economics (NABE), Boston, MA (Oct. 1-2)
- President's Dream Colloquium on Making Knowledge Public, Simon Fraser University (Sept. 13, 2018)
- National Humanities Center (Sept. 11, 2018)
- Keynote: Bibliometrics & Research Assessment Symposium, NIH (Aug. 20-21)
- Misinfocon. Newseum, Washington DC (Aug. 7, 2018)
- The Future of Facts in a 'Post-Truth' World, University of Maryland (May 15, 2018)
- Why scatter plots suggest causality, and what we can do about it (2018) arXiv. 1809.09328
- The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles (2018) PeerJ. 6:e4375
- PhyloParser: A Hybrid Algorithm for Extracting Phylogenies from Dendrogram (2017) ICDAR. 1087-1094
- STEM-ming the Tide: Predicting STEM attrition using student transcript data. (2017) SIGKDD Workshop
- The Washington Post. The coronavirus is spreading rapidly. So is misinformation about it. (Feb 10)