The National Academies of Sciences, Engineering and Medicine Committee on Applied and Theoretical Statistics is holding a workshop titled “Refining the Concept of Scientific Inference When Working With Big Data” in Washington DC, June 8-9.
The workshop will bring together statisticians, data scientists and domain researchers from different biomedical disciplines to explore four key issues of scientific inference:
- Inference about causal discoveries driven by large observational data
- Inference about discoveries from data on large networks
- Inference about discoveries based on integration of diverse datasets
- Inference when regularization is used to simplify fitting of high-dimensional models
Prof. Alfred Hero, co-director of the Michigan Institute for Data Science (MIDAS) and Professor of Electrical Engineering and Computer Science, is a co-chair of the event.
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