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Miriah Meyer

Professor

My research focuses on the design of visualization tools for helping people make sense of data, and on the development of methods for helping visualization designers make sense of the world.

Presentation

Miriah Meyer’s research centers on creating visualization tools that support exploratory and reflective data analysis, as well as bring new ideas for how we can use data in our lives. These tools allow people to learn about their data, reframe their perspectives, and disrupt their thinking.

Miriah takes a collaborative and theory-driven approach to research, relying on methodologies and epistemologies from computer science, design, social science, and humanities. The practice of designing visualizations allows her to learn about how visualizations work in the world, how people relate to data, and how we can design technologies for the futures we want.

Miriah obtained her bachelors degree in astronomy and astrophysics at Penn State University, earned a PhD in computer science from the University of Utah, and completed a postdoctoral fellowship at Harvard University. Prior to joining the faculty at LiU she was an associate professor in the School of Computing at the University of Utah and a member of the Scientific Computing & Imaging Institute.

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Publications

2024

Lonni Besançon, Brian A. Nosek, Tamarinde Haven, Miriah Meyer, Cody Dunne, Mohammad Ghoniem (2024) 2024 IEEE EVALUATION AND BEYOND-METHODOLOGICAL APPROACHES FOR VISUALIZATION, BELIV 2024, p. 89-96 (Conference paper)
Conny Walchshofer, Vaishali Dhanoa, Marc Streit, Miriah Meyer (2024) IEEE Transactions on Visualization and Computer Graphics, Vol. 30, p. 381-391 (Article in journal)
Derya Akbaba, Lauren Klein, Miriah Meyer (2024) IEEE Transactions on Visualization and Computer Graphics (Conference paper)
Conny Walchshofer, Vaishal Dhanoa, Marc Streit, Miriah Meyer (2024) IEEE Transactions on Visualization and Computer Graphics, Vol. 30, p. 381-391 (Article in journal)

2023

Haihan Lin, Derya Akbaba, Miriah Meyer, Alexander Lex (2023) IEEE Transactions on Visualization and Computer Graphics, Vol. 29, p. 504-514 (Article in journal)

Research

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