Tag Archives: show&tell
We’ve put together an extra-long list for our last What We’re Reading of 2014. Enjoy!
Medical Inhalers To Track Where You Are When You Puff by Alison Bruzek. We’ve been following Propeller Health (nee Asthmapolis) for quite a while and this piece does a good job outlining their technology and promise.
How Self-Tracking Apps Exclude Women by Rose Eveleth. A great article on the issues brought on by the gendered design of self-tracking tools and applications. Good to see thoughts and experiences from some of our QS community members included in the piece. (If you’re a woman interested in women’s only QS meetups there are groups in New York, Boston, and San Francisco.)
The Echoes of Hearts Long Silenced by Ron Cowen. Humans have been curious about the sounds our bodies make for centuries. What could we learn from tracking and recording those curious buh-bumps? Sprinkled throughout this great article are examples of the the power of hearing and recoding the human heart.
The Genetic Self by Nathaniel Comfort. A great longer read on the ever expanding role personal genetics can have on our life, especially our health.
This brave new world need only be dystopian if we surrender our agency. If we are aware of the exchanges we are making and how our information is valued—if we are alert to the commodification of personal data—we can remain active players instead of becoming pawns.
More Data, Fewer Questions by Jer Thorp. “Every headline about data from the NYTimes containing a question, from 2004–2014.” (Part of an outstanding collection of predictions for the future of journalism in 2015] curated by the Nieman Lab.)
Dada Data and the Internet of Paternalistic Things by Sara M. Watson. A great piece of speculative fiction here that “explores a possible data-driven future.”
Tech Giants Move to Protect Wearables by Ashley Gold. With more wearables and QS tools capturing personal health data there is increasing scrutiny on privacy and protection, especially at the federal level.
Make Your Own Activity Tracker by Young-Bae Suh. Want to track your activity, but also love DIY projects? This is the one for you. A great walk through, including sample code, to get you up and running with a wrist-based activity tracker.
Enviro-Trackers Are a New Gadget Trend. What Do We Do With Them? by Margaret Rhodes. What can we do with personal environmental data? Margaret explores this question in the wake of the new devices currently available and being developed to track the world around you.
Vicious Cycle by Patt Virasathienpornkul. A fun student project that imagines a close-loop system of calorie consumption and expenditure.
Music Records by Salem Al-Mansoori. A wonderful deep dive into eight years of music listening history. Salem supplements the raw listening data with additional information and creates an amazing set of visualizations to answer questions such as, “Where do the artists I listen to come from?” and “How are my tastes changing over time.”
Half a Year with Dash by Colin Sullender. When the Dash OBD tracking device connected with the IFTTT service in mid 2014 Colin began logging each of this car trips. In this post he gets into the data to see what he can learn from his driving data.
Superpowering Runkeeper’s 1.5 Million Walks, Runs, and Bike Rides by Garrett Miller. The folks at Mapbox have done it again by improving on their last map collaborations with Runkeeper. Make sure to poke around in the large map to see where people are running, riding, and walking in your area. Also see this interview/article if you’d like to learn a bit more about the project.
A Year in Moves Data by Patrick Maloney. Patrick graphed his tie spent at time and at work by access his Moves data.
Crowdsourcing a Runkeeper Dashboard by Patrick Tehubijuluw. Patrick built a nice overview data dashboard to explore his Runkeeper data. If you’re a QlikView User you can download and play with your own data.
Tell, Don’t Show by John Pavlus. Data dashboards are all the rage in our mobile-focused personal data world, but do they do a good job conveying information? John Pavlus argues that “data verbalization” is the next big user experience.
From the Forum
Understanding Goal Setting and Sharing Practices Among Self-Trackers
Wearable Timelapse Camera? (For time management)
New book about Quantified Self, called Trackers
Determine your Fitbit stride length using a GPS watch
We’re back after missing last week (sorry!) with a bit longer list than usual. Enjoy!
Thoughts on Quantified Self for Modifying Long Term Life Goals by Mark Krynsky. Mark, a member of our QS Los Angeles meetup group, is consistently putting together interesting ideas in the QS space. In this short post he explore how QS tools might be used to understand long-term life goals.
Open Data for Open Lands by Alyssa Ravasio. The value of data isn’t confined to what we can understand about ourselves. There is so much beneficial information out there, especially when it comes to public data. In this post, Alyssa makes the case for protecting and promoting open data ideas and concepts regarding out most precious public spaces – the national parks system.
Art at the Edge of Tomorrow: Lillian Schwartz at Bell Labs by Jer Thorpe. A wonderful biographical piece about Lillian Schwartz, a pioneer in the field of computational art and exploration.
Terms of Service by Michael Kelller and Josh Neufeld. A reporter and nonfiction cartoonist team up to use a comic to tell us about the new world of data and privacy we currently inhabit. Interesting format and compelling content!
Narrative Camera by Morris Villarroel. Morris has been wearing a Narrative personal camera for six months. In this short post he explains what he’s learned and experienced over that time.
Where my 90 Hours of Mobile Screen Time in September Went by Bob Stanke. Bob used an app (Trackify) on his Android phone to track how much time he was spending on his phone and what apps he used the most.
Quitting Caffeine by Andrei-Adnan Ismail. Andrei wasn’t happy with his relationship with coffee and caffeine so he he decide to try and quit. Using tracking and really interesting use of “sprints” to gradually reduce his consumption, Andrei was able to quit. Great post here describing his process and the data he gathered along the way (including how his change affected his sleep).
Twitter Pop-up Analytics by Myles Harrison. Myles takes us through the process of downloading, visualizing, and analyzing personal data from Twitter.
Seven Months of Sleep by Eric Boam. A bit of an old one here, but beautiful and informative nonetheless. Make sure to read the accompanying piece by Eric. (I’m also looking forward to seeing more about this dataviz of his Reporter app data soon.)
My latest effort to visualize my calorie intake and weight loss by reddit user bozackDK. Using data collected from MyFitness pal, bozackDK has created this great visualization of his data. I asked what was learned from making this graph and received this wonderful response:
“I make graphs like these to keep myself going. I need some kind of proof that I’m doing alright, in order to keep myself wanting to go on – and a graph showing that I can (somewhat) stay within my set limits, and at the same time showing that it actually works on my weight, is just perfect.”
If you’ve seen the announcement for our 2015 QS Conference & Expo and you’ve never been to a QS event before you may be asking yourself what our conferences are all about. From our very first meetup in 2008 through our six conferences and numerous events we’ve emphasized the role of the personal story and real-world experience. We do this in a variety of ways.
First, we run our conferences as a carefully curated unconference. When you register, you’re asked to tell us about the self-tracking projects you’re working on and other QS-related ideas you have. Our conference organization team goes through every registration, diving deep into personal websites, Twitter feeds, and blog posts. We love seeing individuals using self-tracking in new and different ways to find out something interesting about themselves and we work hard to surface truly unique and inspiring stories.
How does that manifest itself in the program? The core of our conference program is made up of the nearly two dozen show&tell talks where self-trackers get up and tell their story by answering our three prime questions: What did you do? How did you do it? What did you learn? It may seem simple, but these three questions provide a stable and consistent narrative to inspire you to learn and engage with your own tracking practice in new and different ways.
We’ve spent some time combing through our vast video archive to showcase some of our favorite talks from our previous conferences. We hope you find them enjoyable and they inspire you to join us on June 18-20 in San Francisco for our 2015 QS Conference & Expo. Who knows, maybe you’ll be on stage and we’ll be learning from you!
Sara Riggare on ‘How Not To Fall’
Sara Riggare is co-organizer of Quantified Self Stockholm. She is also an engineer, a PhD student and a tireless researcher of Parkinson’s disease. In this fascinating talk, Sara describes using body sensors to help her control her gait.
Vivian Ming on Tracking Her Son’s Diabetes
Vivienne Ming is an accomplished neuroscientist and entrepreneur. Two years ago her son, Felix, was diagnosed with Type 1 Diabetes. In this talk, presented at the 2013 Quantified Self Global Conference, Vivienne explains what they’re learning as they track and analyze his data
Chris Bartley on Understanding Chronic Fatigue
While on a research trip, Chris contracted Reiter’s Syndrome. After his recovered, something still didn’t feel right. Chris consulted his physician and started tracking his wellness along with his diet and supplement intake. What follows is an amazing story about what Chris learned when he started applying his knowledge of statistics to his own data.
Adrienne Andrew Slaughter on Tracking Carbs and Exercise
Adrienne Andrew Slaughter was testing out a new diet that included carbohydrate restriction. At the same time she was commuting to work on a bike. She started to notice feeling tired and slow during her commutes and wondered if her dietary changes had anything to do with it. Luckily, Adrienne was tracking her commutes and her diet and was able to run detailed data analysis to find out what happens when she goes carbless.
Bob Troia: Understanding My Blood Glucose
Bob Troia isn’t a diabetic and he’s not out of range, but he wanted to see if he could lower his fasting glucose levels. He started a long-term tracking experiment where he tested his blood glucose and began to explore the effects of supplementation and lifestyle factors.
Sacha Chua on Building and Using A Personal Dashboard
Sacha Chua started tracking her clothes to make sure she was varying her wardrobe on daily basis. This led he to ask, “What else can I track?” As she added time tracking, food, library books, and so much more (you can view the whole set on QuantifiedAwesome.com)
Robby Macdonnell on Tracking 8,000 Screen Hours
For the last six years Robby Macdonnell has been tracking his productivity and how he spends his time on his various computers (home and work) and even how he uses phone. Over those years he’s amassed 8,300 hours of screen time. Watch his great talk to hear what’s he learned about his work habits, productivity and how he’s come to think about time.
Sky Christopherson on Self-Tracking at the London Olympics
Sky Christopherson first shared his experience with tracking and improving his sleep in 2012. That tracking led him on a path to achieving a world record as a mastars level track cyclists. Later that year, Sky began helping other athletes us self-tracking and personal data to obtain their best performances, culminating in a surprise silver medal for the 2012 women’s olympic track cycling team, on which he served as a training advisor. In March of this year, Sky and his wife Tamara gave another QS talk at our Bay Area Meetup in which they told the wonderful story of how the 2012 Olympic team rode to their medal, a journey captured in the documentary, Personal Gold.
These are only a small sample of the amazing talks and self-tracking projects that are shared at our Quantified Self Conferences. We’d love to hear your story. Register today and let us know what you’re working on!
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.
Want to receive the weekly What We Are Reading posts in your inbox? We’ve set up a simple newsletter just for you. Click here to subscribe. Do you have a self-tracking story, visualization, or interesting link you want to share? Submit it now!
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
Want to receive the weekly What We Are Reading posts in your inbox? We’ve set up a simple newsletter just for you. Click here to subscribe.