Today the New York Times published a fantastic story by Peter Andrey Smith about the Nightscout and OpenAPS projects: A Do-It-Yourself Revolution in Diabetes Care. People with diabetes and parents of kids with diabetes are self-tracking by necessity, and we’ve learned a lot from their talks about their projects at QS meetings and conferences. Their impact is growing. Reading Smith’s story inspired me to repost a talk by Nightscout pioneer Lane Desborough, along with links to additional people and resources that didn’t make it into the Times story.
Nightscout, which Lane describes in this wonderful talk, allows people with people with diabetes and parents of kids with diabetes the see real time data from a blood glucose monitor on a mobile device. While similar efforts are underway among manufacturers, leadership is coming from patients and caregivers.
The quality and commitment here can inspire anybody who is thinking about how QS tools fit into new forms of knowledge and cooperation. The projects Lane discusses in this talk have continued to grow and evolve. Supported by a remarkable group of activists and a technically expert community made up mainly of people with diabetes and parents of kids with diabetes, contributors to these projects have created a suite of tools that can dramatically improve self-care.
For instance, a couple of weeks ago I saw this tweet from Howard Look, founder of Tidepool:
Did you know that people with diabetes have been building their own artificial pancreas systems? Read more about Nightscout, the Open Artificial Pancreas System, and related projects at these links:
In this fascinating talk Rocio Chongtay shares her novel and thoughtfully designed experiments in using music to adjust her concentration and relaxation depending on what she’s doing. Using a consumer EEG device from Neurosky, Rocio tried different types of music while tracking the relaxation and concentration dimensions identified by the Neurosky algorithm. She had experience experimenting with Neurosky in her lab, and then turned these techniques on understanding something about her own mind.
As an English teacher Kyrill Potapov spends a lot of time working with 12 year old kids who are trying to improve their reading, writing, comprehension, and analytical skills. In this talk, he explores a remarkable method of speed reading, called Spritz, that promises to let you “read Harry Potter in three hours” with full understanding and recall. Could such a promise possibly be true? And, if the claim is true, another question arises. Is such a pace desirable and useful, or rather something quite alien to the activity of reading?
With his students, Kyrill decided to resolve these questions empirically, reading the same material in a book, on a screen using conventional scrolling, and on a screen using the novel method of Spritz, which displays words one at a time at a pace determined by the reader. They found high comprehension at the high speeds permitted by Spritz, but with some cost, which he outlines in this wonderfully clear and interesting talk.
Kouris Kalligas, a long time participant and contributor at Quantified Self meetings, is the creator of the very easy to use data aggregation service AddApp. AddApp is an iPhone app that makes it simple to gain insights from data gathered on dozens of different devices. While running his startup, Kouris has also been doing ongoing self-tracking experiments. At QS Europe 2014, he gave an excellent show&tell talk about his sleep, diet, and exercise data. In the talk below, he discusses using mood data in combination with calendar data to reflect on the relationship between emotion, experience, and self-image.
It’s been an honor to have Beeminder founders Daniel Reeves and Bethany Soule participating in Quantified Self meetings, giving us a chance to watch the evolution of their very useful tool for setting and achieving personal goals. These days they are working on the forefront of device and service integration. In this talk Daniel gives a brief explanation of how to bring data into Beeminder with minimal hassle.
(Note Daniel’s generous shout-out to another great QS toolmaker, Rescue Time.)