Environmental Statistics and Transdisciplinary Data Science (ESTDatS) Lab

Lab Founder and Director: Grace Chiu

Founded in May 2019, the ESTDatS Lab is devoted to cutting-edge statistical and data scientific research in marine science, environmental science, and other scientific disciplines that are integral to evidence-based policy making.

Our lab specializes in integrative, holistic statistical methodologies to tackle multi-faceted research problems.

Methodological Specialties	Subject-Area Specialties
Bayesian / hierarchical / spatial / temporal / mixed-effects modeling of complex  environmental / ecological / biological phenomena statistical model-based assessment of  ecological / biological / policy systems integration of statistical and process / simulation models via Bayesian melding causal modeling non-standard asymptotic theory	transdisciplinary environmetrics (e.g. food web ecology, ecosystem health modeling, evaluation of farming practices, climate phenomena) policy analytics (e.g. resource management, policy efficacy evaluation)

Featured in the Spring 2021 Issue of Impact.

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Contact Us

Email: [[ESTDatS]]