Chris Danforth

Professor, Department of Mathematics & Statistics

Co-Director, Computational Story Lab

Associate Director, Vermont Complex Systems Center

Director, Vermont Advanced Computing Center

University of Vermont


Stacks Image 414798_414995
Stacks Image 414981
Stacks Image 414983
Stacks Image 415013
Stacks Image 415038
Stacks Image 415045
Stacks Image 415031


Research


Stacks Image 499349

“Inside the lab that’s quantifying happiness”
Profile of our research group in Outside Magazine

Recent funding from NSF, AMD, and MassMutual

Research team and group publications

"The war in Ukraine has made Russian social-media users glum" The Economist

“Is Everybody Doing … OK? Let’s Ask Social Media”
Story on Hedonometer in New York Times

“Has Twitter just had its saddest fortnight ever?”
Story on Hedonometer in Nature

"Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter" Paper in Science Advances

“Instagram photos reveal predictive markers of depression”
Paper in EPJ Data Science, coverage by New York Times

“The emotional arcs of stories are dominated by six basic shapes” Paper in EPJ Data Science, coverage by The Atlantic

“Human language reveals a universal positivity bias”
Paper in PNAS, coverage by New York Times


Stacks Image 499462

Hedonometer: a population scale measure of daily happiness


Stacks Image 500327

StoryWrangler: A visual comparison of phrase popularity in 150 billion tweets


Recent Publications

  • 102. Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd.
    H. H. Wu, R. J. Gallagher, T. Alshaabi, J. L. Adams, J. R. Minot, M. V. Arnold, B. F. Welles, R. Harp, P. S. Dodds, C. M. Danforth.
    In Review. 2022.
    [pdf] [arXiv] [thread]

    Stacks Image 502294
  • 101. Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias.
    P. S. Dodds, T. Alshaabi, M. I. Fudolig, J. W. Zimmerman, J. Lovato, S. Beaulieu, J. R. Minot, M. V. Arnold, A. J. Reagan, C. M. Danforth.
    In Review. 2022.
    [pdf] [abstract] [online appendix] [thread]

    Stacks Image 502303
  • 100. Spatial changes in park visitation at the onset of the pandemic.
    K. Linnell, M. Fudolig, A. Schwartz, T. H. Ricketts, J. P. M. O'Neil-Dunne, P. S. Dodds, C. M. Danforth.
    PLOS Global Health. In Press. 2022.
    [pdf] [arxiv] [thread]

    Stacks Image 502366
  • 99. Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, A. J. Reagan, C. M. Danforth.
    In Review. 2022.
    [pdf] [arXiv] [online appendix] [thread]

    Stacks Image 502312
  • 98. Allotaxonometry and rank-turbulence divergence:
    A universal instrument for comparing complex systems.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, T. J. Gray, M. R. Frank, A. J. Reagan, C. M. Danforth.
    In Review. 2022.
    [pdf] [arXiv] [online appendix] [code] [thread]

    Stacks Image 502321
  • 97. Fame and Ultrafame: Measuring and comparing daily levels of 'being talked about' for United States' presidents, their rivals, God, countries, and K-pop.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, A. J. Reagan, C. M. Danforth.
    Journal of Quantitative Description. 2022.
    [pdf] [journal url] [arXiv] [thread] [online appendix]

    Stacks Image 502330
  • 96. Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study.
    A. M. Stupinski, T. Alshaabi, M. V. Arnold, J. R. Minot, M. Price, P. S. Dodds, C. M. Danforth.
    Journal of Medical Internet Research: Mental Health. 2022.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502211
  • 95. Augmenting semantic lexicons using word embeddings and transfer learning.
    T. Alshaabi, C. V. Oort, M. Fudolig, M. V. Arnold, C. M. Danforth, P. S. Dodds.
    Frontiers in Artificial Intelligence. 2022.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502220
  • 94. Gauging the happiness benefit of US urban parks through Twitter.
    A. J. Schwartz, P. S. Dodds, J. P. M. O’Neil-Dunne, T. H. Ricketts, C. M. Danforth.
    PLOS ONE. 2022.
    [pdf] [journal url] [arXiv] [online appendix] [thread] [blog] [press]

    Stacks Image 502229
  • 93. Sentiment and structure in word co-occurrence networks on Twitter.
    M. I. Fudolig, T. Alshaabi, M. V. Arnold, C. M. Danforth, P. S. Dodds.
    Applied Network Science. 2022.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502238
  • 92. Computational Paremiology: Charting the temporal, ecological dynamics of proverb use in books, news articles, and tweets.
    E. Davis, C. M. Danforth, W. Mieder, P. S. Dodds.
    In Review. 2022.
    [pdf] [arXiv]

    Stacks Image 502247
  • 91. Blending search queries with social media data to improve forecasts of economic indicators.
    Y. Li, A. Ahani, H. Zhan, K. Foley, T. Alshaabi, K. Linnell, C. M. Danforth, P. S. Dodds, A. Fox.
    In Review. 2022.
    [pdf] [arXiv] [thread]

    Stacks Image 502256
  • 90. The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community.
    K. Gothard, D. R. Dewhurst, J. R. Minot, J. L. Adams, M. V. Arnold, T. Alshaabi, A. J. Reagan, C. M. Danforth, P. S. Dodds.
    In Review. 2022.
    [pdf] [arXiv] [thread]

    Stacks Image 502265
  • 89. Sirius: A mutual information network tool for exploratory visualization of mixed data
    J. L. Adams, T. F. DeLuca, C. M. Danforth, P. S. Dodds, Y. Zheng, K. Anastasakis, B. Choi, A. Min, M. B. Bessey.
    In Review. 2022.
    [pdf] [arXiv] [thread] [code]

    Stacks Image 502274
  • 88. Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance.
    J. R. Minot, N. Cheney, M. Maier, D. C. Elbers, C. M. Danforth, P. S. Dodds.
    ACM Transactions on Computing for Health Care. 2022.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502283
  • 87. Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, A. J. Reagan, C. M. Danforth.
    In Review. 2022.
    [pdf] [arXiv] [thread]

    Stacks Image 502155
  • 86. Doomscrolling during COVID-19: The negative association between daily social and traditional media consumption and mental health symptoms during the COVID-19 pandemic.
    M. Price, A. C. Legrand, Z. M. F. Brier, K. van Stolk-Cooke, K. Peck, P. S. Dodds, Z. W. Adams, C. M. Danforth.
    Psychological Trauma: Theory, Research, Practice, and Policy. 2022.
    [pdf] [journal url] [arXiv]

    Stacks Image 502164
  • 85. Ecological and Coevolutionary Dynamics in Modern Markets Yield Nonstationarity in Market Efficiencies.
    C. M. Van Oort, J. H Ring, D. R. Dewhurst, C. M. Danforth, B. F. Tivnan.
    Complexity. 2022.
    [pdf] [journal url]

    Stacks Image 502173
  • 84. Storywrangler: A massive exploratorium for
    sociolinguistic, cultural, socioeconomic, and political timelines using Twitter.
    T. Alshaabi, J. L. Adams, M. V. Arnold, J. R. Minot, D. R. Dewhurst, A. J. Reagan, C. M. Danforth, P. S. Dodds.
    Science Advances. 2021.
    [pdf] [journal url] [arXiv] [appendix] [online visualization] [thread] [press]

    Stacks Image 502182
  • 83. Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts.
    R. J. Gallagher, M. R. Frank, L. Mitchell, A. J. Schwartz, A. J. Reagan, C. M. Danforth, P. S. Dodds.
    EPJ Data Science. 2021.
    [pdf] [journal url] [arXiv] [code] [thread]

    Stacks Image 502191
  • 82. Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, A. J. Reagan, C. M. Danforth.
    PLOS ONE. 2021.
    [pdf] [journal url] [arXiv] [online appendix] [thread] [press]

    Stacks Image 502200
  • 81. Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter.
    J. R. Minot, M. V. Arnold, T. Alshaabi, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2021.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502072
  • 80. Hurricanes and hashtags: Characterizing online collective attention for natural disasters.
    M. V. Arnold, D. R. Dewhurst, T. Alshaabi, J. R. Minot, J. L. Adams, C. M. Danforth, P. S. Dodds.
    PLOS ONE. 2021.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502081
  • 79. The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020.
    T. Alshaabi, D. R. Dewhurst, J. R. Minot, M. V. Arnold, J. L. Adams, C. M. Danforth, P. S. Dodds.
    EPJ Data Science. 2021.
    [pdf] [journal url] [arXiv] [online appendix] [thread]

    Stacks Image 502090
  • 78. The sleep loss insult of Spring Daylight Savings in the US is absorbed by Twitter users within 48 hours.
    K. Linnell, T. Alshaabi, T. McAndrew, J. Lim, P. S. Dodds, C. M. Danforth. Journal of Big Data. 2021.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502099
  • 77. Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.
    B. F. Emery, M. T. Niles, C. M. Danforth, P. S. Dodds.
    PLOS ONE. 2021.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502108
  • 76. The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.
    T. Alshaabi, D. R. Dewhurst, J. P. Bagrow, P. S. Dodds, C. M. Danforth.
    PLoS ONE. 2021.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502117
  • 75. How the world’s collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter.
    T. Alshaabi, M. V. Arnold, J. R. Minot, J. L. Adams, D. R. Dewhurst, A. J. Reagan, R. Muhamad, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2021.
    [pdf] [journal url] [arXiv] [online appendix] [press] [animation] [thread]

    Stacks Image 502126
  • 74. Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance.
    D. R. Dewhurst, T. Alshaabi, M. V. Arnold, J. R. Minot, C. M. Danforth, P. S. Dodds.
    arXiv.org. 2020.
    [pdf] [arXiv] [online appendix] [press] [thread]

    Stacks Image 502135
  • 73. Chimera States and Seizures in a Mouse Neuronal Model.
    H. Mitchell, M. Mahoney, P. S. Dodds, C. M. Danforth.
    International Journal of Bifurcation & Chaos. 2020.
    [pdf] [journal url] [arXiv] [animation]

    Stacks Image 502144

Teaching


Video lectures for recent course on Nonlinear Dynamics available for free on YouTube

Applied Mathematics classes taught at UVM include Linear Algebra, Numerical Analysis, Nonlinear Dynamics, Ordinary Differential Equations, and Data Ethics

We now offer an undergraduate degree in Data Science, as well as both MS and PhD degrees in Complex Systems & Data Science

Stacks Image 499363

Tweets