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  • September 5, 2022
  • pendari1080

Statistics

Statistics is the discipline of gathering and analyzing data. It has developed into subareas that are broadly defined by data type, and its methods are often motivated by scientific problems [...]

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  • September 5, 2022
  • pendari1080

Theoretical Foundations of Data Science

This HDSI area focuses on establishing the mathematical and theoretical foundation of data science, understanding the fundamental limits of data acquisition, data processing, modeling, and inference from data. This group [...]

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  • September 5, 2022
  • pendari1080

Data and Society

This area concerns itself with the intersection of data science and social issues, with two broad overlapping subgroups. One focuses on the impacts of data on society and approaches to [...]

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  • September 5, 2022
  • pendari1080

Data Science for Scientific Discovery

Advancing basic science through the collection, annotation, exploration and synthesis of high-dimensional, multimodal data. This is inclusive of classic scientific experimentation, complemented by the use of large extant datasets, all [...]

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  • September 5, 2022
  • pendari1080

Data Infrastructure and Systems

We study principles, techniques, and tools for acquiring, managing, and analyzing large and complex datasets throughout their whole lifecycle. We build and deploy software systems and software-hardware integrated systems to [...]

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  • September 5, 2022
  • pendari1080

Biomedical Data Science

Advancing methods, technologies, and applications for understanding biological systems, transforming medicine and improving health. We address real-world complex data arising from multiple sources and spanning multiple scales. Prominent subareas include [...]

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