The data science of networks is a rapidly developing field with myriad applications. In
neuroscience, the brain is commonly modeled as a connectome, a network of nodes …

Replicability, the ability to replicate scientific findings, is a prerequisite for scientific discovery
and clinical utility. Troublingly, we are in the midst of a replicability crisis. A key to …

Using brain atlases to localize regions of interest is a required for making neuroscientifically
valid statistical inferences. These atlases, represented in volumetric or surface coordinate …

Reproducibility, the ability to replicate analytical findings, is a prerequisite for both scientific
discovery and clinical utility. Troublingly, we are in the midst of a reproducibility crisis, in …

The cost of data acquisition and analysis is becoming prohibitively expensive for many
research groups across disciplines. And yet, as more data are available, more researchers …

Complex data structures such as time series are increasingly present in modern data
science problems. A fundamental question is whether two such time-series are statistically …