Making Sense of Data
We create computational systems to understand and perceive salient dimensions of data. Using a combination of data science including data analytics, intelligent computing, and machine learning, coupled with an understanding of human cognition, perception and ergonomics, we verify, disprove, and explain scientific models, theories and hypotheses. We communicate our results through integrative quantitative data analysis as well as qualitative interpretations such as scientific visualizations, sonifications, and extended reality (XR) displays.
Group Leaders
Margaret Schedel, Music
Group Members
I. Memming Park
Liliana Dávalos
Heather Lynch
Jeff Heinz
Steven Skiena
Alexander Orlov
Predrag Krstic
Klaus Mueller
Rezaul Chowdhury
Minghua Zhang
Mike Zingale
Roy Shilkrot
Shinjae Yoo
Marat Khairoutdinov
Hideo Sekino
FILES
Research
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See pages posters
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See pages presentations
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See pages products
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See pages Open Source Textbook
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See pages Software
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See pages Virtual Supercomputer
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See pages projects
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See pages publications
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See pages researchimages
Research
-
See pages posters
-
See pages presentations
-
See pages products
-
See pages Open Source Textbook
-
See pages Software
-
See pages Virtual Supercomputer
-
-
See pages projects
-
See pages publications
-
See pages researchimages
