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Institute for Advanced Computational Science

Home Research Making Sense of Data

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

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Research

Research

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