What We Are Reading
March 15, 2014
Click, read, enjoy!
Articles and Posts
Meet the Teams Who are Building the World’s First Medical Tricorder by George Dvorksky. We’ve been following the Qualcomm Tricorder XPRIZE since it was announced. Now that only 10 teams remain it’s nice to get a feel for what some of the groups are working on. (Disclosure: Scanadu, one of the teams competing for the prize is a sponsor of QS. We are grateful for their support.)
How One Retailer’s Employees are Using Wearables by Andy Meek. Self-tracking technology is pushing into every corner of society. It’s no surprise that we’re seeing it being deployed in the the workplace. This is definitely something to keep an eye on and I look forward to more conversations about what it means to be “efficient and productive” at work.
The Great Discontent – Nicholas Felton by Ryan and Tina Essmaker. A great in-depth interview with designer, and personal data visualization specialist, Nicholas Felton.
I’m trying to lift the veil on the size, power, humanity, humor, and narrative potential of our data by making tools that allow people to leverage it.
What Your Activity Tracker Sees and Doesn’t See by Albert Sun and Alistair Dunt. If you’re wearing an activity tracker (Fitbit, Jawbone Up, Withings Pulse, etc.) this is a must read (and watch). The interactive elements do a great job of showing you how accelerometers work to translate movement data into information.
Me, My Quantified Self, and I by Kevin Nguyen. For some reason the release of the Reporter app has created a steady stream of philosophical explorations of what it means to track and understand “the self.” Add this to you reading list if you want to ask yourself, “Would David Hume use a Fitbit?”
Life through a camera by Carmen Pérez-Lanzac [SPANISH]. A fantastic exploration of the history and possible future of camera-based lifelogging.
Let’s get physical: Discovering data in the world around us by Anushka Patil. A nice post here recapping some of the work presented at the recent National Institute for Computer-Assisted Reporting conference. I especially enjoyed .
A DIY Artificial Pancreas System? Are we crazy? by Scott Leibrand & Dana Lewis. Some of the more technically minded people in the diabetes community are not waiting for the promised Artificial Pancreas Systems of the future and have set out to test and learn from a DIY solution. Absolutely amazing stuff here.
Data Analysis: The Hard Parts by Mikio L Braun. If you think machine learning is easy or the cure for your data analysis woes, think again.
Show & Tells
Generation ‘Y’ Can’t We Sleep by Scott Fetters. If you look beyond the title you’ll find a really nice example of someone practicing to try and find a way to get better sleep.
An Introduction to D3 by Sam Selikoff. We’re huge fans of D3 here at QS Labs. This is a great place to start if you want to learn more about this powerful data visualization package.
From the Forum