Doug Kanter has been a Type 1 diabetic for 26 years. Through this time he’s come to learn more about his disease by using many data-gathering tools and his own work in visual analysis at the NYU ITP program. We’ve featured Doug’s compelling work here on the blog before and we were excited to hear him talk at the NY QS Meetup about his new project to understand how marathon training and running effect his blood sugar and insulin treatment.
Typically when we think about Quantified Self and the associated collection and visualization of personal data we’re left struggling in the world of charts, graphs, and other well-worn visualizations. That’s not to disparage those of you who love spending some time tinkering in Excel. Those are valuable tools for understanding and there is a good reason we rely on them to tell us the stories of our data. It’s important to realize that those stories rooted in data aren’t always just about finding trends, searching for correlations, or teasing out significant changes. Sometimes data can represent something more visceral and organic – the expression of a unique experience.
Vincent Boyce is a an artist and designer who spends his free time riding on asphalt and water. Those experiences on his longboard and surfboard led him to starting thinking about how his rides, his performances, could be used as inputs for generating art and “exposing the hidden narrative.” After some tinkering with hardware and software Rideware Labs was born. Vincent has designed and built a prototype sensor pack and custom interface that ingests data from his riding and outputs unique visual representations. As you can see above, these aren’t your typical bar charts.
In his great talk filmed at the New York QS Meetup Vincent describes his motivation behind building his prototype system and his goals for future versions.
This is a great first step in turning data rooted in performance into artistic representations of self-expression. What do you think? What kind of data would you like to see hanging on your wall as works of art? Let us know in the comments!
How can I lead a happier life? I’m sure this is something we’ve all asked ourselves. Maybe it was during a turn through doldrums or maybe you asked yourself how you could sustain your happiness during a moment of joy. Whatever the case happiness, and by extension mood tracking, has been at the forefront of engaging in a Quantified Self practice for many individuals.
Konstanin Augemberg is no exception. A statistician by trade, Konstantin has been involved with numerous self-tracking projects in order to “empirically demonstrate that any aspect of my everyday life can be quantified and logged on a regular basis, and that the knowledge from these numbers can be used to help me live better.” In February Konstanin presented the methods and results of his ongoing Hacking Happiness project at the New York City QS Meetup (read on for a full description):
By being able to see my ideas and see how they’re connected to each other, I’m able to think about myself in new ways.
Amy Robinson is curious. That curiosity led her to think very deeply about her curiosity. What was she curious about? Where do her ideas come from? What inspires her? In this talk from the 2012 QS Conference Amy takes us through a really unique method for quantifying her curiosity and what she’s learned so far.
Amy has also amazingly provided the transcript of this talk over on her website. Be sure to click over for a wonderful read and links to some of her inspirations for this project.
In this short Ignite talk, Dave Marvit from Fujitsu Labs of America talks about a prototype system he is developing to track stress and monitoring stressful events in veterans with PTSD. The Sprout system brings in and syncs multiple data streams allowing researchers, clinicians, and individuals to develop a deeper insight into what’s really happening during stress events. Make sure to listen to the end for a surprise twist from Dave when he talks about using the system to measure his stress while driving to work. (Filmed at the 2012 QS Conference.)
Awais Hussain is a student at Harvard, and he found himself asking the age-old question, “Where does my time go?” Using his online calendar Awais started tracking his daily activities. This tracking has given him some interesting insights into how he really works and accomplishes tasks. Watch this great talk to hear more about what Awais learned by keeping track of his time. (Filmed by the Boston QS Meetup Group.)
Beau Gunderson lives inside his browser and struggles with distractions, so he wrote a Chrome extension to quantify his browser usage. He learned that he visits about 500 websites a day, sometimes has up to 100 tabs open, and occasionally declares “tab bankruptcy.” Check out Beau’s revealing story in the video below. (Filmed by the San Francisco QS meetup group.)
Beau Gunderson – Quantifying Chrome Tabs from Gary Wolf on Vimeo.
Jae Osenbach LOVES chocolate. Unfortunately, her body does too. She decided to go on a calorie-restricted diet of 1200 calories a day for 6 weeks and track her weight loss. In the lively video below, Jae talks about her experiments with nuts vs. no nuts and chocolate vs. no chocolate, and her surprising T-test results. She has also kindly posted her slides and instructions for how to add an analysis toolpak to Excel. Hooray for chocolate! (Filmed by the Seattle QS Show&Tell meetup group.)
Jae Osenbach: Having My Chocolate and Eating It Too (Seattle) from David Reeves on Vimeo.
We’ve posted some great talks by Amelia Greenhall here on the blog and we’re excited to bring you another insightful presentation. Last year Amelia gave a wonderful talk about her weight loss journey and the power of using running averages. In this updated talk Amelia gives a more in-depth look about how using a 10-day moving average serves as an “early warning system” that puts helps put her back on the path of mindful eating. Filmed at the QS Silicon Valley meetup group