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


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Research


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

Recent funding from NSF, AMD, and MassMutual

Research team & group publications

Lived Experiences Measured Using Rings Study (LEMURS)

"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


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Hedonometer: a population scale measure of daily happiness


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


Recent Publications

  • 104. 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.
    PLOS ONE. 2023.
    [pdf] [journal url] [arXiv] [thread]

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  • 103. 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. 2023.
    [pdf] [abstract] [online appendix] [thread]

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  • 102. Characterizing narrative time in books through fluctuations in power and danger arcs.
    M. Fudolig, T. Alshaabi, K. Cramer, C. M. Danforth, P. S. Dodds.
    In review. 2023.
    [pdf] [arxiv] [thread]

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  • 101. Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs.
    D. Elbers, J. La, J. R Minot, R. E. Gramling, M. T. Brophy, N. V. Do, N. Fillmore, P. S. Dodds, C. M. Danforth.
    PLOS ONE. In Press. 2023.

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  • 100. 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.
    Digital Humanities Quarterly. In Press. 2023.
    [pdf] [arXiv]

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  • 99. 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. 2022.
    [pdf] [journal url] [arxiv] [thread]

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  • 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]

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  • 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]

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  • 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]

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  • 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]

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  • 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]

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  • 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]

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  • 92. 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.
    arXiv. 2022.
    [pdf] [arXiv] [thread]

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  • 91. 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.
    arXiv. 2022.
    [pdf] [arXiv] [thread] [code]

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  • 90. 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]

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  • 89. 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]

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  • 88. 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]

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  • 87. 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]

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  • 86. 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.
    arXiv. 2021.
    [pdf] [arXiv] [online appendix] [thread]

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  • 85. 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.
    arXiv. 2021.
    [pdf] [arXiv] [thread]

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  • 84. 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]

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  • 83. 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]

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  • 82. 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.
    arXiv. 2021.
    [pdf] [arXiv] [thread]

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Teaching


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

2022 Kroepsch-Maurice Excellence in Teaching Award

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

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Tweets