Tag Archives: show&tell
Enjoy this week’s list!
Effect of Self-monitoring and Medication Self-titration on Systolic Blood Pressure in Hypertensive Patients at High Risk of Cardiovascular Disease by Richard McManus et al. An interesting research paper here about using self-monitoring to reduce blood pressure. The paper is behind a paywall, but since you’re nice we’ve put a copy here.
Apple Prohibits HealthKit App Developers From Selling Health Data by Mark Sullivan. Some interesting news here from Apple in advance of their new phone and possible device release in a few weeks. I applaud the move, but would like to see more information about data portability in the next release.
Science Advisor, Larry Smarr by 23andMe. Great to hear our friends 23andMe and Larry Smarr are getting together to help work on understanding Inflammatory Bowel Disease. If you’ve been diagnosed with Crohn’s disease or ulcerative colitis consider joining the study.
Personal Health Data: It’s Amazing Potential and Privacy Perils by Beth Kanter. A lot of people have been talking recently about the privacy implications of using different tracking tools and technologies. In this short post Beth opens up some interesting questions about why we might or might not open up our personal data to others. Make sure to read through for some insightful comments as well.
Let’s Talk About 3 Months of Self-Quantifying by Frank Rousseau. Frank is one of the founders of Cozy Cloud, a personal could service. He’s also designed Kyou a custom tracker system built on top of Cozy. He’s also been using the services to track his life. In this post he explain how tracking his activity, sleep, weight, and other habits led to some interesting insights about his behavior.
The iPhone 5S’ M7 Predictor as a Predictor of Fitbit Steps by Zach Jones. A great post here by Zach as he explores the data taken from his iPhone 5S vs. his Fitbit.
Using Open Data to Predict When You Might Get Your Next Parking Ticket by Ben Wellington. Not strictly a personal data show&tell here, but as someone who suffers from street sweeping parking tickets somewhat frequently I found this post fascinating. Now to see if Los Angeles has open data…
What Time of Day Do People Run? by Robert James Reese, Dan Fuehrer, and Christine Fennessay. Runners World and Runkeeper partnered to understand the running habits of runners around the world. Some interesting insights here!
What Happens When You Graduate and Get a Real Job by Reddit user matei1987. A really neat visualization of min-by-min level Fitbit step data.
Data + Design by Infoactive and the Donald W. Reynolds Institute. A really interesting and unique take on a data visualization book. This CC-licensed, open source, and collaborative project represents the work of many volunteers. I’ve only read through a few chapters, but it seems to be a wonderful resource for anyone working in data visualization.
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If you’re interested in learning more about Quantified Self, meeting new and interesting people, and being inspired by unique self-tracking projects we invite you attend a local QS meetup in your area. This week there are nine QS meet ups planned all over the world. Follow the links below to learn more. You can also find the full list of the over 100 QS meet ups in the right sidebar. Don’t see one near you? Why not start your own!
Southern Oregon Quantified Self (Ashland, OR)
Dallas/Fort-Worth QS Meetup
Triangle QS Meetup (Raleigh, NC)
Silicon Valley QS Meetup #12 (Mountain View, CA)
We’ve compiled quite the variety of articles and links for you. Make sure to check out the show&tell and visualization sections below for some great Quantified Self examples. Enjoy!
Articles & Posts
To lead off today’s list I’m including two great posts from attendees at our recent 2014 QS Europe Conference. You can read more attendee recaps over onour roundup post.
Ten Things I Learned at the 2014 Quantified Self Europe Conference by Bob Troia. Bob takes a look back at the conference and describes his experience.
Quantified Self and Philosophy at #QSEU14 by Kitty Ireland. We hosted over 36 breakout discussion at our recent European Conference. In this post, Kitty describes one of the “standout sessions” that she attended.
Okay, back to list!
Wearable Computers Will Transform Language by Ariel Bleicher. This is a long piece, full of excellent examples of how personal personal computing is becoming, but my favorite leads the article. Wearable computers in 1961. Who knew!
CyclePhilly hopes to record biking patterns to help plan bike lanes by Jim Smiley. A big theme of our discussions at various QS events this year has been around the social and public good the personal data can do. This project, led by Corey Acri and Code for Philly, hopes to better understand where commuters are actually riding their bikes. This also reminded me of a recent data sharing deal between Strava (a GPS activity tracking app) and the Oregon Department of Transportation.
How Much Can We Demand of Consumer Connected Health? by Joseph Kvedar. We’ve mentioned this before on both the QS blog and in the reading list, self-tracking device accuracy is a tricky concept. In this short post Dr. Kvedar describes his experiences and some results using consumer tools in a clinical setting.
In-Depth: How Patient Generated Health Data is Evolving Into one of Healthcare’s Biggest Trends by MobiHealthNews. This is a nice long piece covering many aspects of the growing role of different types of health data in healthcare. I personally enjoyed learning more about the challenge of combining patient reported data with electronic medical records.
Treadmill Effect of Spaced Repetition Performance by Gwern. In this exhaustive examination, our friend Gwern decided to test whether walking on a treadmill helped his memory. Specifically he randomized if practiced his spaced repetition while walking at his treadmill desk or sitting down and then looked at his grades (flashcards remembered correctly). You’ll have to read it to see what he foun. (Make sure to check out his other experiments as well!)
My Sleep Cycle Experiment and What to Limit Before Bed by Greg Blome. This is a great breakdown of what Greg found out about what affects his sleep by tracking 150 nights of sleep with the Sleep Cycle app.
Learning Ancient Egyptian in an Hour Per Week with Beeminder by Eric Kidd. Here at QS Labs we have a soft spot for spaced repetition (See Gary Wolf’s great primer here). This post details how Eric learned how to read Egyptian hieroglyphs using spaced repetition and Beeminder.
OpenVis Conference. Here you’ll find 18 great presentations by leading data visualization experts. Hard to pick a favorite, but I found Andy Kirks, The Design of Nothing: Null, Zero, Blank to be fascinating.
Breeze Habits by Runkeeper. The data science team at Runkeeper took a look at 75,000 worldwide Breeze App users to see what countries were getting up earlier, going to sleep later, and getting the most steps. I can’t wait to see more visualizations like this from Runkeeper.
Tableau Quantified Self Viz Contest. We mentioned this is last week’s reading list and the contest has is now over and we get to peruse the great entries. I’m going to include some of my favorites below, but make sure to check out all of them at the link above. You can also view the winners here.
The Life of Spangler by Russell Spangler. Russell tracked his time for the month of April and presents the results.
Runderground by Carl Allchin. Have you ever wondered if it’s faster to run than take the tube in London? Carl has your answer.
Beating Diabetes by Andre Argenton. Andre accessed the data in his Dexcom continuous glucose monitor and visualized it alongside data from his OmniPod insulin pump.
From The Forum
Measuring Cognitive Perormance
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What did you do? How did you do it? What did you learn?
These are the three questions we ask people to answer in their Quantified Self Show&Tell talks. We’re thrilled to see the Show&Tell proposals coming in from registrants for the 2014 Quantified Self Europe Conference, with topics ranging from blood glucose tracking to novel uses of spaced repetition for memory training. The current Show&Tell lineup is previewed below. We hope you can join us!
Understanding My Blood Glucose
After learning he had an elevated risk for contracting Type 2 Diabetes, Bob starting tracking daily glucose measurements, exercise, diet, and supplements.
Connecting My Mind And Body
Juliana used data from activity, sleep, heart rate, and stress sensors to explore the effects of mindfulness on her physical condition.
Carbless in Seattle
Adrienne Andrew Slaughter
Trying out diets with different amounts of carbs, Adrienne saw unexpected effects on her athletic performance.
A Million Heartbeats
Can a day of heart beat data be accurately represented with a simple curve, for establishing baselines and comparisons?
Retraining My Body With Electrical Nerve Stimulation
Sara’s self-tracking data convinced her to try using Transcutaneous Electrical Nerve Stimulation to address her most troublesome Parkinson’s symptom, “freezing-of-gait”.
Me and My Log
Cathal lifelogging data comes from a camera that takes a constant stream of photos, wherever he is.
Fit 50s Sound 60s
Maria has been tracking for almost 10 years, developing strategies for improving and maintaining her health as she ages.
After many productivity experiments, Brian finally made progress with the Pomodoro method in 2011. He’ll show his continuing experiments to increase his focus and productivity.
Memorizing My Daybook
Steven wanted to see what happened when he memorized entries from his daybook using spaced repetition.
A Goal for Each Month
In the beginning of 2014 Florian set himself twelve goals, one per month. He’ll show data from the first three months.
A Testosterone and Diet Experiment
Blood tests showed Max he had low levels of Vitamin D and Testosterone. Could diet changes help?
Analyzing Changes in My Weight and Sleep
Kouris spent thirty hours combining his multiple data streams into one place, and learned what influenced his weight and sleep.
Does Diet Affect My Sleep?
Denise shows a year’s worth of data from her diet and sleep experiment and finds while food matters a little, other things matter more.
A Four Year Journal
Morris links a detailed handwritten journal to quantitative analysis and visualization.
A Librarian in Numbers
Academic librarians work in a complex environment. Debbie will describe how her tracking changed the way she worked.
A Lazy Workout
Does just squeezing your muscles make them stronger? Justin will talk about his experiments with an isometric training program.
We Never Fight On Wednesdays
Six months of tracking mood alongside events, time and people gave Paul some surprising lessons.
Meta-Effects of Happiness Tracking
How does asking yourself if you are happy change your happiness?
Science, Smell, Fashion
Jenny will tell a ‘science fashion’ story that introduces real-time biofeedback scent interventions as a means to complement orthodox treatments for chronic mental illness and to de-stigmatise mental health issues.
Lifelog as Self-Portrait
Using automatic lifelogging and visualization software Cors is experimenting with putting his computer in charge of his creativity.
Washing My Eyelids
Steve will demonstrate how he used self-tracking tools to get under atopic dermatitis.