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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Lived Experiences Measured Using Rings Study (LEMURS)

Science of Online Corpora, Knowledge, and Stories (SOCKS)

Recent funding from NSF, MRI, AMD, & MassMutual

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

Research team & 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

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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

  • 121. Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning.
    J. W. Zimmerman, D. Hudon, K. Cramer, A. J. Ruiz, C. Beauregard, A. Fehr, M. I. Fudolig, B. Demarest, Y. M. Bird, M. Z. Trujillo, C. M. Danforth, P. S. Dodds
    In Review. 2024.
    [pdf] [abstract]
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  • 120. Hollywood’s misrepresentation of death: A comparison of overall and by-gender mortality causes in film and the real world.
    C. Beauregard, C. M. Danforth, P. S. Dodds.
    In Review. 2024.
    [pdf] [abstract]
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  • 119. 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. 2024.
    [pdf] [abstract] [online appendix] [thread]
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  • 118. A quantitative analysis of the affirmative furtherance of fair housing in the Housing Choice Voucher program.
    Y. M. Bird, A. Fehr, J. W. Zimmerman, M. I. Fudolig, S. E. Grobe, M. V. Arnold, C. M. Danforth, P. S. Dodds.
    In Review. 2024.
    [pdf] [arXiv]
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  • 117. An assessment of measuring local levels of homelessness through proxy social media signals.
    Y. M. Bird, S. E. Grobe, M. V. Arnold, S. P. Rogers, M. I. Fudolig, J. W. Zimmerman, C. M. Danforth, P. S. Dodds.
    In Review. 2024.
    [pdf] [arXiv] [thread] [press]
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  • 116. A blind spot for large language models: Supradiegetic linguistic information.
    J. W. Zimmerman, D. Hudon, K. Cramer, J. St. Onge, M. Fudolig, M. V. Arnold, M. Z. Trujillo, C. M. Danforth, P. S. Dodds.
    Plutonics. 2024.
    [pdf] [arXiv] [journal url]
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  • 115. Expecting the Unexpected: Predicting Panic Attacks from Mood, Twitter, and Apple Watch Data.
    E. W. McGinnis, S. Lunna, I. Berman, S. Bagdon, G. Lewis, M. V. Arnold, C. M. Danforth, P. S. Dodds, M. Price, W. E. Copeland, R. S. McGinnis.
    IEEE Open Journal of Engineering in Medicine and Biology. 2024.
    [pdf] [arXiv] [journal url] [press] [thread]
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  • 114. Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data.
    E. W. McGinnis, S. Lunna, I. Berman, B. Loftness, S. Bagdon, C. M. Danforth, M. Price, W. E. Copeland, R. S. McGinnis.
    In Review. 2024.
    [pdf] [arXiv]
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  • 113. Meeting people where they are: Crowdsourcing goal-specific personalized wellness practices.
    J. E. Hidalgo, J. Kim, J. Llorin, K. Stanton, J. Cherian, L. Bloomfield, M. Fudolig, M. Price, J. Ha, N. Noble, C. M. Danforth, P. S. Dodds, J. Fanning, R. S. McGinnis, E. W. McGinnis.
    PLOS Digital Health. 2024.
    [pdf] [journal url]
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  • 112. Predicting stress in college freshmen using sleep data from wearable devices.
    L. S. P. Bloomfield, M. I. Fudolig, P. S. Dodds, J. Llorin, J. L. Lovato, J. Kim, E. W. McGinnis, R. S. McGinnis, M. Price, T. H. Ricketts, K. Stanton, C. M. Danforth.
    PLOS Digital Health. 2024.
    [pdf] [arXiv] [journal url] [press]
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  • 111. Predictors of Anxiety Trajectories in First-year College Students.
    L. S. P. Bloomfield, M. I. Fudolig, J. Kim, J. Llorin, J. L. Lovato, E. W. McGinnis, R. S. McGinnis, M. Price, T. H. Ricketts, P. S. Dodds, K. Stanton, C. M. Danforth.
    Journal of the American Academy of Child and Adolescent Psychiatry Open (JAACAP Open). 2024.
    [pdf] [arXiv] [journal url]
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  • 110. The two fundamental shapes of sleep heart rate dynamics and their connection to mental health in college students.
    M. I. Fudolig, L. S. P. Bloomfield, M. Price, Y. M. Bird, J. E. Hidalgo, J. Kim, J. Llorin, J. L. Lovato, E. W. McGinnis, R. S. McGinnis, T. H. Ricketts, K. Stanton, P. S. Dodds, C. M. Danforth.
    Digital Biomarkers. 2024.
    [pdf] [arXiv] [journal url]
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  • 109. A Large Clinical Trial to Measure Well-Being During the Transition to College Using Wearables: The Lived Experiences Measured Using Rings Study.
    M. Price, J. E. Hidalgo, Y. Bird, L. S. P. Bloomfield, C. Buck, J. Cerutti, P. S. Dodds, M. I. Fudolig, R. Gehman, M. Hickok, J. Kim, J. Llorin, J. Lovato, E. McGinnis, R. S. McGinnis, R. Norton, V. Ramirez, K. Stanton, T. H. Ricketts, C. M. Danforth.
    Contemporary Clinical Trials. 2023.
    [pdf] [journal url] [press]
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  • 108. A decomposition of book structure through ousiometric fluctuations in cumulative word-time.
    M. Fudolig, T. Alshaabi, K. Cramer, C. M. Danforth, P. S. Dodds.
    Humanities and Social Sciences Communications. 2023.
    [pdf] [journal url] [arxiv] [thread]
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  • 107. Nature Exposure is Associated With Reduced Smartphone Use.
    K. Minor, K. L. Glavind, A. J. Schwartz, C. M. Danforth, S. Lehmann, A. Bjerre-Nielsen.
    Environment and Behavior. 2023.
    [pdf] [journal url] [thread] [press]
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  • 106. 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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  • 105. 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.
    EPJ Data Science. 2023.
    [pdf] [arXiv] [journal url] [online appendix] [code] [thread]
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  • 104. 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. 2023.
    [pdf] [arXiv] [journal url]
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  • 103. Twitter misogyny associated with Hillary Clinton increased throughout the 2016 U.S. election campaign.
    M. Weaving, T. Alshaabi, M. V. Arnold, K. Blake, C. M. Danforth, P. S. Dodds, N. Haslam, C. Fine.
    Scientific Reports. 2023.
    [pdf] [journal url] [thread]
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  • 102. 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. 2023.
    [pdf] [journal url]
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  • 101. Curating corpora with classifiers: A case study of clean energy sentiment online.
    M. V. Arnold, P. S. Dodds, C. M. Danforth.
    arXiv. 2023.
    [pdf] [arXiv]
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  • 100. The Resume Paradox: Greater Language Differences, Smaller Pay Gaps.
    J. Minot, M. Maier, B. Demarest, N. Cheney, C. M. Danforth, P. S. Dodds, M. R. Frank.
    arXiv. 2023.
    [pdf] [arXiv] [thread]
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  • 99. Park visitation and walkshed demographics in the United States.
    K. Linnell, M. Fudolig, L. Bloomfield, T. H. Ricketts, J. P. M. O'Neil-Dunne, P. S. Dodds, C. M. Danforth.
    arXiv. 2023.
    [pdf] [arXiv]
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  • 98. 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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  • 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] [best paper award]
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Full publication list

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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