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 for science, MRI for GPUs and RAM, & 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

  • 141. False memories to fake news: The evolution of the term "misinformation" in academic literature.
    A. J. R. Iglesias, D. Benett, J. W. Zimmerman, C. M. Danforth, P. S. Dodds.
    In Review. 2026.
    [pdf] [arXiv]

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  • 140. Archetypes and gender in fiction: A data-driven mapping of gender stereotypes in stories.
    C. G. Beauregard, J. W. Zimmerman, A. M. Fehr, T. R. Tangherlini, C. M. Danforth, P. S. Dodds.
    In Review. 2026.
    [pdf] [arXiv]

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  • 139. Sensitivity analysis of epidemic forecasting and spreading on networks with probability generating functions.
    M. C. Boudreau, W. H. W. Thompson, C. M. Danforth, J.-G. Young, L. Hébert-Dufresne
    Journal of the Royal Society Interface. 2026.
    [pdf] [arXiv] [journal url]

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  • 138. Statistical laws and linguistics inform meaning in naturalistic and fictional conversation.
    A. M. A. Fehr, C. G. Beauregard, J. W. Zimmerman, K. Ekstrom, P. Rosillo-Rodes, C. M. Danforth, P. S. Dodds
    In Review. 2026.
    [pdf] [arXiv]

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  • 137. 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. 2026.
    [pdf] [arXiv]

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  • 136. Story and essential meaning dynamics in Bangladesh’s July 2024 Student-People’s Uprising.
    T. T. Prama, C. M. Danforth, P. S. Dodds.
    In Review. 2026.
    [pdf] [arXiv]

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  • 135. Us-vs-Them bias in Large Language Models.
    T. T. Prama, J. W. Zimmerman. C. M. Danforth, P. S. Dodds.
    In Review. 2026.
    [pdf] [arXiv]

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  • 134. Misalignment of LLM-Generated Personas with Human Perceptions in Low-Resource Settings.
    T. T. Prama, C. M. Danforth, P. S. Dodds.
    In Review. 2026.
    [pdf] [arXiv]

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  • 133. Detecting sub-populations in online health communities: A mixed-methods exploration of breastfeeding messages in BabyCenter Birth Clubs.
    C. Beauregard, P. Suchdev, A. M. A. Fehr, I. T. Smith, T. T. Prama, J. W. Zimmerman, C. Ward, J. Lovato, C. M. Danforth, P. S. Dodds.
    In Review. 2026.
    [pdf] [arXiv]

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  • 132. Ousiometrics: Essential meaning aligns with a
    Power–Danger–Structure framework instead of Valence–Arousal–Dominance, and diverse
    corpora reveal a universal 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.
    Science Advances. In Press. 2026.
    [pdf] [arXiv] [online appendix] [thread]

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  • 131. Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility.
    M. Ghasemizade, J. Lovato, C. M. Danforth, P. S. Dodds, L. S. P. Bloomfield, M. Price, Team LEMURS, J. P. Near.
    In Review. 2026.
    [pdf] [arXiv]

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  • 130. Identifying Body Composition Measures That Correlate with Self-Compassion and Social Support.
    E. Poon, M. I. Fudolig, J. E. Hidalgo, B. C. Loftness, K. Stanton, C. L. Tompkins, L. S. P. Bloomfield, M. Price, P. S. Dodds, C. M. Danforth, N. Cheney.
    In Review. 2026.
    [pdf] [arXiv]

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  • 129 Spatial Patterns and Temporal Trends of Nature Exposure in a College Student Cohort.
    L. S. P. Bloomfield, S. Lombardo, M. Price, T. H. Ricketts, C. M. Danforth.
    In Review. 2026.
    [pdf] [arXiv]

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  • 128. Not All Nature Exposure Is Equal: Perceived Nature Engagement Predicts Mental Health Better Than Quantified Nature.
    L. S. P. Bloomfield, S. Lombardo, M. Price, T. H. Ricketts, C. M. Danforth.
    Health & Place. In Press. 2026.
    [pdf] [arXiv]

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  • 127. Effects of behavioral interventions on psychological and biometric measures of well-being in young adults: results of a 14-week, four-arm, randomized, controlled trial.
    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.
    In Review. 2026.
    [pdf] [arXiv]

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  • 126. 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. 2026.
    [pdf] [arXiv]

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  • 125. Objective Physical Activity Patterns Of College Students Throughout The Academic Year.
    C. L. Tompkins, M. Price, J. E. Hidalgo, N. Noble, J. Ha, L. S. P. Bloomfield, P. S. Dodds, M. I. Fudolig, M. Hickok, J. Kim, J. Llorin, J. Lovato, E. W. McGinnis, R. S. McGinnis, K. Stanton, T. H. Ricketts, C. M. Danforth.
    Medicine & Science in Sports & Exercise. 2025.
    [journal url]

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  • 124. Collective sleep and activity patterns of college students from wearable devices.
    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.
    npj Complexity. 2025.
    [pdf] [arXiv] [journal url]

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  • 123. 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.
    Journal of Medical Internet Research (JMIR) Formative Research. 2025.
    [pdf] [arXiv] [journal url]

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  • 122. LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti.
    T. T. Prama, C. M. Danforth, P. S. Dodds.
    Proceedings of the Second Workshop on Bangla Language Processing. 2025.
    [pdf] [arXiv] [journal url]

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  • 121. BanglaMATH: A Bangla benchmark dataset for testing LLM mathematical reasoning at grades 6, 7, and 8.
    T. T. Prama, C. M. Danforth, P. S. Dodds.
    Proceedings of The 3rd Workshop on Mathematical Natural Language Processing (MathNLP 2025). 2025.
    [pdf] [arXiv] [journal url]

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  • 120. HateSense: A Multi-Task Learning Framework for Comprehensive Hate Speech Identification using LLMs.
    T. T. Prama, C. M. Danforth, P. S. Dodds.
    Proceedings of the Second Workshop on Bangla Language Processing. 2025.
    [pdf] [journal url]

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  • 119. 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.
    International Journal on Homelessness. 2025.
    [pdf] [arXiv] [journal url] [thread] [press]

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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.
    arXiv.org 2025.
    [pdf] [arXiv]

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  • 117. A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence.
    J. St-Onge, A. M. A. Fehr, C. Ward, C. G. Beauregard, M. V. Arnold, S. F. Rosenblatt, B. Cooley, C. M. Danforth, P. S. Dodds
    arXiv.org 2025.
    [pdf] [arXiv] [online appendix]

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  • 116. Archetypometrics, a Pragmateia: Empirical Determination of the Fundamental Archetypes of Fictional Characters.
    P. S. Dodds, J. W. Zimmerman, C. G. Beauregard, A. M. Fehr, M. Fudolig, T. Tangherlini, C. M. Danforth.
    arXiv.org 2025.
    [pdf (1.6GB)] [arXiv]

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  • 115. 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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  • 114. 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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  • 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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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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