Core team:

Peter Sheridan Dodds

University of Vermont

Vermont Complex Systems Center, Director

Peter's research focuses on system-level, big data problems in many areas including language and stories, sociotechnical systems, Earth sciences, biology, and ecology. Peter has created (and constantly evolves) a series of complex systems courses starting with Principles of Complex Systems. He co-runs the Computational Story Lab with Chris Danforth.

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