Core team:

Chris Danforth

University of Vermont

Department of Mathematics and Statistics, Flint Professor of Mathematical, Natural, and Technical Sciences

Chris is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds.

Most recent papers:

Hahahahaha, Duuuuude, Yeeessss!: A two-parameter characterization of stretchable words and the dynamics of mistypings and misspellings.

Chris Danforth, Peter Sheridan Dodds, Tyler Gray. Preprint, 2019.
[pdf] [arXiv] [online appendices]

The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series.

Thayer Alshaabi, Chris Danforth, Peter Sheridan Dodds, David Dewhurst, Michael Arnold, Joshua Minot, Dilan Kiley. Preprint, 2019.
[pdf] [arXiv]

Chimera States and Seizures in a Mouse Neuronal Model.

Chris Danforth, Peter Sheridan Dodds, Henry Mitchell, Matthew Mahoney. Preprint, 2019.
[pdf] [arXiv]

Visitors to urban greenspace have higher sentiment and lower negativity on Twitter.

Aaron Schwartz, Peter Sheridan Dodds, Jarlath O'Neil-Dunne, Chris Danforth, Taylor Ricketts. People and Nature, , , 2019.
[pdf] [journal page] [arXiv]

(show all)

Most recent press:

Lapham's Quarterly