Description: The advent of high throughput and high-dimensional data has provided excellent opportunities for statisticians to develop new methodologies to address issues of dimension reduction and spatio-temporal effects in these large data sets. Examples form microarray data, biomarkers in Oncology, and forest fires will be discussed.