While causation and correlation could be difficult to nail down, there is perhaps something in this for the Data Scientists among us. There is a plethora of online content generated by users across all forms of social media, text, images, video.
Parsing online content and cross referencing this with behavior may create some predictive tools or highlight some change in public mood. Looking at which emoticons are used and how frequently may be one place to start. Too many ASAPs in emails might signal someone under a little stress, lots of work emails sent at night or weekends could be from someone on the road to burnout.
The take away is that with a focus on the Internet of Things, we could be relying on devices to tell us more about the world and how we live our lives. However a lot of this information could already be out there, we just have to look for it.