rich approaches like SEE, is akin to swimming against the tide. A recent review from Long and co-workers gave persuasive views of new ways to think about data treatment in SEE, and interested readers are encouraged to consider the points raised. 268 Ultimately, SEE is well-positioned to advance further as measurement techniques improve in hardware, data treatment, and theory and as programming and the Internet of Things expand. We expect that interest in SEE will flourish as our science evolves.