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  • Oct
    31

    CS Seminar Designing, de-"bias"ing, and de-probabilizing uncertainty visualization Matthew Kay, Northwestern University

    Department of Computer Science (CS)

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    Monday / CS Seminar
    October 31st / 12:00 PM
    Hybrid / Mudd 3514

    Title: Designing, de-“bias”ing, and de-probabilizing uncertainty visualization

    Speaker: Matthew Kay, Northwestern University

    Zoom: https://northwestern.zoom.us/j/94158854527

    Live Stream: https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=945f67db-b0e5-4b77-9d80-af34015fb1ca

    Abstract:
    When visualizing data, we must consider carefully how to communicate uncertainty in ways that people can actually use to make informed decisions. I will discuss ways to combine knowledge of visualization perception, uncertainty cognition, and task requirements to design visualizations that more effectively communicate uncertainty. I will also discuss ongoing work in systematically characterizing the space of uncertainty visualization designs, tools for putting effective uncertainty communication into practice, and ways to communicate (difficult- or impossible-to-quantify) uncertainty in the data analysis process itself. I will also discuss ongoing and future work, e.g. work on improving election forecast visualizations and work on measuring and mitigating visualization misinformation.

    Biography:
    Matthew Kay is an Assistant Professor jointly appointed in Computer Science and Communications Studies at Northwestern University. He works in human-computer interaction and information visualization; more specifically, his research areas include uncertainty visualization, personal health informatics, and the design of human-centered tools for data analysis. His current research is funded by multiple NSF awards, and he has received multiple best paper awards across human-computer interaction and information visualization venues (including CHI, InfoVis, UbiComp, and MobileHCI). He co-directs the Midwest Uncertainty Collective (http://mucollective.co) and is the author of the tidybayes (https://mjskay.github.io/tidybayes/) and ggdist (https://mjskay.github.io/ggdist/) R packages for visualizing Bayesian statistical model output and uncertainty.

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    TIME Monday, October 31, 2022 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • Jul
    31

    Designing interactive systems for reasoning with ontological uncertainty in data analysis

    Department of Computer Science (CS)

    2:00 PM ITW, Ford Motor Company Engineering Design Center

    EVENT DETAILS

    TIME Thursday, July 31, 2025 at 2:00 PM - 4:00 PM

    LOCATION ITW, Ford Motor Company Engineering Design Center    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • Sep
    25

    Bagel Thursday

    Department of Computer Science (CS)

    9:00 AM

    EVENT DETAILS

    TIME Thursday, September 25, 2025 at 9:00 AM - 11:00 AM

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)