Tag Archives: reading

What We Are Reading

Before we get to this week’s list we want to make sure you know about our recent conference announcement. This week we announced our QS15 Conference & Exposition. This will be our seventh conference and is sure to be an amazing event. We invite you to register today!

Now on with the good stuff!

Articles
Why Big Data Won’t Cure Us by Gina Neff. A great research paper in the aptly name journal, Big Data. Dr. Neff specifically focuses on the perils of assuming “all the data” will solve the numerous health healthcare problems and then lays out five elements to consider as data, big and small, becomes part of our healthcare experience.

More Than Meets the Eye: NASA Scientists Listen to Data by Kasha Patel. Apparently the scientists studying the sun have so much data to sift through that listening to signals is a valuable alternative to visualizing it. (via our friend Joost Plattel)

Quantified Dating, Relationships, and Sex by Kitty Ireland. A great series of three posts by Kitty that explores a variety of examples of using self-tracking in the most intimate of situations – dating, long-term relationships, and sex.

A Look Back At the Evolution of Wearable Tech. In the wake of the recent Apple Watch announcement I love being able to look back at the history of different how technology has made inroads into our lives.

Show&Tell
The Baby Measureur by Erich Morisse. Erich is a proud father of a new child and like any new dad with data skills he started tracking some important metrics such as feeding time, feeding duration, and of course diaper changing!

A Day at Burning Man, Visualized Through Health Tracker Data by Gregory Ferenstein. Gregory takes his Basis Band to Burning Man and shows us what he learned.

Visualizations
scotto-prism
My Most Intimate Self Portrait by Scott Ogle. Scott has a wonderful post here about a visualization of his almost 30,000 text messages.

If I look closely, I can see a new job, vacations and a death in the data. I can even see where I moved past it all and stopped feeling the need to communicate so much. It may just be text messages, but it all correlates to things that are really real.

And all of it is captured in this graph.

AmsterdamMap
9 Days in Amsterdam – Tracking my Mobility in Bicycle Wonderland by Patrick Stotz. Patrick traveled to Amsterdam and tracked his stay using OpenPaths. I especially enjoyed how he was able to segment his means of transportation. If you’re interested in maps I suggest take a look at his great checklist for making geodata visualizations and this list of geodata tools.

RunkeeperTime
What Time of Day Do People Run by Data @ Runkeeper. As a runner I can’t get enough of these visualizations and data analyses.

From the Forum
How to Replicate SleepCycle?
What Application Can Monitor My Levels of Energy?
HealthKit
Quantified Baby

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What We Are Reading

Enjoy this week’s list!

Articles
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.

Show&Tell
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…

Visualizations
RWTime
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!

FitbitMin
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.

DataDesign
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.

From the Forum
Good Morning World!
Quantified Chess
New Activity Tracker to Replace BodyMedia?
Indirect Mood Measures
OPI TrueSense for Sleep Tracking

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What We're Reading

Enjoy this week’s list!

Articles
The Five Modes of Self-Tracking by Deborah Lupton. One of our favorite sociologists, Deborah Lupton, explores the typologies of self-trackers she’s identified for an upcoming paper. A very nice and clear explanation of the self-tracking practices in regards to different “loci of control.” (Make sure to also read Deborah’s great post, “Beyond the Quantified Self: The Reflexive Monitoring Self“)

In-Depth: How Activity Trackers are Finding Their Way Into the Clinic by MobiHealthNews. An interesting look at the recent influx FDA-cleared activity and movement trackers and how clinicians are looking to use them. Surprising to me is the lack of data access for the patient in these devices (at least on first glance).

The Reluctantly Quantified Parent by Erin Kissane. As a new mother, Erin was hesitant to use what she deemed “anxious technology.” After some hard nights of little sleep she began to slowly incorporate some self-tracking technology into her routine with her newborn daughter. A great read about using tools then putting them away once they’ve served their purpose. (Reminded me of this great talk by Yasmin Lucero.)

Show&Tell
Returns to Leisure by Tom VanAntwerp. Tom was interested in his return on investment from his leisure time actives. He tracked his time spent in different non-work activities for two weeks and calculated the cost of participating in those activities.

The Quantified Microbiome Self By Carl Zimmer. The great science writer, Carl Zimmer, writes about a recent experiment and journal article by two MIT researchers who tracked their microbiome every day for a year. Fascinating findings, including a successful self-diagnosis of salmonella poisoning. You can also read the original research paper here.

Better Living Through Data by James Davenport. We recently highlighted one of James’ posts on how his laptop battery tracking led him to understand his computer use habits. In this post he dives deeper into the data.

Visualizations
citibike2

A Personal Analysis of 1 Year of Using Citibike by Miles Grimshaw. Miles was interested in understanding more about his use of the Citibike bike share system in New York City. Using some ingenious methods he was able to download, visualize, and analyze his 268 total trips. I especially appreciate his addition of a simple “how-to” so other Citibike users can make the same visualizations.

RunkeeperinR

Visualizing Runkeeper Data in R by Dan Goldin. In 2013 Dan ran 1000 miles and tracked them using the popular Runkeeper app. Runkeeper has a quick and easy data export function and Dan was able to download his data and use R to visualize and analyze his runs. (Bonus Link: If you’re a Runkeeper user you might be interested in this fantastic how-to for making a heatmap of your runs.)

From the Forum
Google Fit
Breakout: Productivity Tracking
Track Your Phone Addiction
Activity Tracking Without Online Requirement
Quantified Self – It’s Benefits

This Week on Quantifiedself.com
Natty Hoffman: The Enlightened Consumer
QSEU14 Breakout: Passive Sensing With Smartphones
Jenny Tillotson: Science, Smell, and Fashion
Paul LaFontaine: We Never Fight on Wednesdays
Vanessa Sabino on Tracking a Year of Sleep

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What We're Reading

Enjoy this week’s list of articles, links, show&tells, and visualizations.

Articles
Personal Health Data: Five Key Lessons for Better Health by Patti Brennan and Stephen J. Downs. A fantastic post by two great thinkers in the world of personal health and data. They outline five key challenges that must be addressed in order to have meaningful use of personal health data.

It’s Time for Open Data on Open Data by Luke Fretwell. A short but meaningful post here. With all the clamor for more government open data portals it’s time to start exploring how they’re actually being used and what can be done to improve them.

The NFL Gets Quantified Intelligence, Courtesy Of Shoulder Pad-Mounted Motion Trackers by Darrell Etherington. As a sports fan and spouse of someone who works in sports media production I am fascinated by how the world of personal data is quickly colliding with professional athletics. We’ve long looked towards athletes for inspiration and examples of how data can be used to understand and improve and I’m very interested to see how the NFL will make use of this data. Maybe we’ll see more sabermetric-like player and team analysis?

Show&Tell
Heart Rate Variability While Giving a Public Speech by Pau LaFontaine. Paul gave a show&tell talk at a recent Bay Area QS meetup and tracked his heart rate variability. This post explains his data, and what he learned about the stress involved with public speaking. Be on the lookout soon for his show&tell talk video.

Chronic Diease and Self-Tracking – Part 1 by Sara Riggare. Sara is a longtime contributor in the Quantified Self community, having spoken at each of our three QS Europe Conferences. In this post she explains her new exploration of her resting heart rate and poses some interesting questions. We’d love to have you help her out!

Raspberry Pi Sleep Lab How-To by Nick Alexander. Nick was bothered by a common nightly occurrence, kicking off his covers in the middle of the night. Like any enterprising technologist, he enlisted his technical expertise to help examine this problem. This post is an amazingly detailed “How To” for building and setting up your own personal sleep monitoring tool complete with video, environmental information, sound, and sleep data.

Visualizations
This week I’ve been exploring how people are making using physical data visualizations. During some research I found a great resource, the List of Physical Visualizations. A few images below are from that great list, be sure to spend some time exploring the many different examples and then reading the excellent research paper linked below.

lego_timetrack_workweek

cyl3

GraphConfB

keyboard351-597x360

Evaluating the Efficiency of Physical Visualizations by Yvonne Jansen, Pierre Dragicevic, and Jean-Daneil Fekete. The first empirical study of the effectiveness of physical visualizations for conveying information. Using 3D bar charts as a primary example, the authors were abel to show that physical visualizations are more effective than their digital on-screen counterparts for some information retrieval tasks.

From the Forum

Data Aggregation
Idea for a Life Tracker Application
How can I log my teeth?
Home Potassium Testing

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What We Are Reading

A nice long list of amazing posts, show&tells, and visualizations for you!

Articles
Social Wearables by Noah Feehan. In this blog post, from the New York Times R&D lab, Noah expands on the idea of measurement and tracking devices that support “social affordances.” Fits in nicely with our post from Rain Ashford on “Emotive Wearables”.

Have Professional CGMs Passed Their Prime? by Will Dubois. In our continued exploration of the role of data access in the diabetes community we have run across many interesting stories. Wil’s amazing post here describes how some people with diabetes are never given access to what could be the most important data in their lives.

How the Technological Design of Facebook Homogenizes Identity and Limits Personal Representation by Ben Grosser. Each piece of software we use has built-in methods that allow or do not allow us to represent ourselves to the world in a personally relevant manner. In this article, Ben Grosser, describes the various methods that the largest online identity platform uses to curtail freedom of identity expression. (For those interested in Ben’s work, we suggest reading our post about his “Demetricator” project.)

Qualitative Self-Tracking and the Qualified Self by Mark Carrigan. In this post, Mark makes the case for measurement of and reflection on the quality of our human experiences to engage in qualitative self-tracking:

“… using mobile technology to recurrently record qualities of experience or environment, as well as reflections upon them, with the intention of archiving aspects of personal life that would otherwise be lost, in a way susceptible to future review and revision of concerns, commitments and practices in light of such a review.”

Why Silicon Valley Needs the Coder GRRLS of Double Union, the Feminists Hacker Space by Rebecca Greenfield. A wonderful profile of the Double Union hacker/maker space for women in San Francisco. Directed by our friend, Amelia Grenhall, Double Union is making a real difference for the female and feminist community.

What is Public? by Anil Dash. A great post here by Anil Dash on why we need to fight to define “public” in an era where communication and information is increasingly occurring in online media platforms.

“By continuing to stretch the definition of what’s public, and to expand the realm of what’s considered acceptable use of public information, we enable a pervasive surveillance culture.”

Show&Tell
“Letting Go of Things We Can’t Control” + Remembering That Sleep Matters by Dana Lewis. We’ve shared Dana’s and Scott’s work on their DIY Pancreas project in the WWAR list before and we will probably share it again in the future. For now, this is an excellent post about how Dana was able to turn a long-distance relay race into a learning opportunity.

An Experiment: The Psychic Impact of Our Connected Lives by Deborah Schultz. Deborah, a co-founder of the YxYY festival, discusses why she downloaded the Red Alert, an app to inform and warn Israelis about incoming rocket attacks, and what she experienced after a week of near constant alerts.

Using RescueTime to Answer the Question: When Do I Write? by Jaime Todd Rubin. Another great post by Jaime explaining how he uses the RescueTime personal tracking software to learn more about his writing habits. For those interested, Jaime also has a nice article here about his thoughts on getting started with self-tracking.

Visualizations

reportr
Reportr.io by Sammy Pessé. Personal data dashboards are becoming more common on the web, a way to reflect your data back to the world at large. Sammy Pessé recently released an open-source project to help you get started with creating your own personal data dashboard.

DJ_fitbit_heatmap
Dave Jacoby’s Fitbit Heatmap by Dave Jacoby. Dave piped up on my Twitter feed during a discussion about using the popular If This Then That web service to save self-tracking sensor data. It turns out he’s been doing some really interesting data processing and visualizing work with his Fitbit data. Learn more about what he’s up to on his Github project page.

JawboneMealWheel
Meal of Fortune by Emi Nomura. Emi is a data scientist at Jawbone and is working on their UP tracking system. This data project was intended to look at what types of foods people eat together. Make sure to click through for the interactive visualization.

VizRisk Challenge. From our friends at the US Department of Health and Human Services comes the first government-backed competition to visualize behavioral health data. We’d love to see our QS community get involved.

From the Forum
Access to Data from Clinical Trials
What do you find to be the most valuable metrics and how do you track/plot them all?
Tracking Music Activities
Tracking HRV During the Workday
Data Aggregation

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What We're Reading

Enjoy this week’s list!

Articles
CGM in the Cloud: Personal Preferences by Kerri Sparling. A great blog post here by Kerri who explains why it’s so important to have access to her blood sugar data. She’s part of a growing community of people with diabetes who are using different methods to broadcast their CGM data into the could.

On Minorities and Outliers: The Case for Making Big Data Small by Brooke Foucault Welles. The rush towards finding the answers in “Big Data” might lead to the continued exclusion of the women, minorities, and the “outliers” of the world. Brooke makes the case here for examining these “small datasets”  to give them the weight they deserve.

“When women and minorities are excluded as subjects of basic social science research, there is a tendency to identify majority experiences as “normal,” and discuss minority experiences in terms of how they deviate from those norms . In doing so, women, minorities, and the statistically underrepresented are problematically written into the margins of social science, discussed only in terms of their differences, or else excluded altogether.”

Here’s Looking at You: How Personal Health Information Is Being Tracked and Used [PDF] by Jane Sarashon-Kahn. In this report, from the California Healthcare Foundation, Jane lays out how our health data is being acquired and used, for commercial and public benefit. I especially liked the emphasis on privacy, or lack there of.

The Making of April Zero by Anand Sharma. Anand details his journey from starting to self-track to creating an amazing website that serves as his personal QS dashboard. One interesting bit is that his tracking activities increased dramatically after Apple’s M7 chip came out with the iPhone 5S and he noticed that his phone’s battery took much less of a hit from running apps that track his activity in the background.

Show&Tells
Tracking Upset and Recovery by Paul LaFontaine. Paul has been using the Heartmath stress monitor to help him record and understand what causes him to get upset (fall out of coherence). In this post, he details how his recovery method has helped him progress, recover, and slightly reduce the number of upsets during his working session. I recommend reading all of Paul’s great posts on this work.

Europe Honeymoon by reddit user Glorypants. This reddit user tracked his European honeymoon with the Moves app and then used our How to Map Your Moves Data post to learn how to make some great maps to share his experience.

Visualizations
Lillian_YIR
This Year in Numbers – 2014 by Lillian Karabaic. A great “year in review” post here that details the tracking Lillian has done from July 2013 to July 2014. I love the mix of hand-drawn and computer-generate visualizations that provide insight into Lillian’s sleep, diet, cycling, mood, and communication data. (Editor’s Note: Lillian sent this link via the comments on Quantifiedself.com. If you have something to share please let us know!)

HelpMeViz
HelpMeViz.com. I wanted to highlight this great website and community project as we have many great visualization and data scientists in our community. On the HelpMeViz website people submit their visualizations for feedback and assistance. I’ve had fun interacting with the growing community and have even learned a few neat tricks in the process.

TravisHodges
The Quantified Self by Travis Hodges. Travis is a portrait photographer based in London. For his newest project he sought out fifteen individuals who are using self-tracking to understand and improve themselves. I especially like the inclusion of the data visualizations coupled with the individual stories from these self-trackers.

TwitterViz
Visualizing Your Twitter Conversations by Jon Bulava. Jon, a Developer Advocate at Twitter, put together a wonderful how-to for getting started on visualizing your friend network on Twitter. (If you’re interested in using the new Twitter Analytics data to better understand your tweeting we suggest Bill Johnson’s great how-to.)

From the Forum
Data Aggregation
Smart Mirror with Health Sensors
Garmin Vivo Activity Tracker – Your Results?
Sleep Tracking for New Parents

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What We Are Reading

Enjoy this week’s reading list. If you’d like to submit something for future What We’re Reading posts we invite you to get in touch!

Articles
Data Journalism Needs to Up Its Own Standards by Alberto Cairo. The influx of new data-based journalistic endeavors seems to grow by the day. In this great piece Alberto Cairo presents four suggestions for those practicing that art and science of data-based reporting.

Big Data Should Not be a Faith-Based Initiative by Cory Doctorow. The idea of “big data” as a miraculous fountain of new knowledge is widespread. In this article Cory Doctorow brings to light some of the major concerns about personal data and the true possibility of de-identification.

Data Privacy, Machine Learning, and the Destruction of Mysterious Humanity by John Foreman. This is a long read, but definitely worth the time. If you’re like me you’ll spend the next few hours (day?) thinking about yourself, the various companies and organizations consuming your data, and how your life may (or may not) be shaped by the information you willingly hand over.

Privacy Behaviors of Lifeloggers using Wearable Cameras [PDF] by Roberto Hoyle, Robert Templeman, Steven Armes et al. This research paper paper offers a good glimpse into the the concerns and real behaviors of people using photo lifelogging systems. This is an area we’ve previously explored (see Kitty Ireland’s great write-up about our lifelogging town hall at QSEU13) and we expect to continue discussing.

Show&Tell
Battery Life, 6mo Checkup By James Davenport. It may seem odd to have a post about tracking battery life from a laptop here in the Show&Tell section, but this is a really neat post. As part of tracking his laptop battery he also tracked his usage and led to some interesting data about his sleep. (Don’t forget to check out the post that kicked off his battery tracking.)

Bringing My Data Together by John T. Moore. John is on a journey of improving his health and being more active through self-tracking/monitoring. In this post he pulls together some of his most important data, but I also suggest reading his summary of how he got started with self-tracking.

Visualizations

carsharing
Seven Days of Carsharing by Density Design. Not exactly personal data here, but some beautiful visualizations based on one week of data from the Enjoy, a carsharing service in Milan.

aprilzero
Aprilzero by Anand Sharma. I stumbled on this website recently via the #quantifiedself feed on Twitter. The visualizations and interactivity on this personal data site are really nice.

LR_annualreports
Lee Rogers’ Annual Reports by Lee Rogers. Lee has been tracking different aspects of his life for more than three years. Since 2011 he’s put together Annual Reports detailing his personal data. You can view his 2011, 2012, and 2013 reports on his website.

From the Forum
Devising Experiments
Looking for a General QS Device
Masters Thesis: Self-Tracking Motivations
Greetings From Germany

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What We Are Reading

We’ve assembled another great list of articles, posts, and other interesting ideas for you to enjoy.

Articles
Billy Beane’s Ascendant A’s Are Playing a Brand-New Brand of Moneyball by Will Leitch. I know what you’re thinking, “What’s an article about baseball doing in this list?” First, it’s about how the Oakland Athletics are using metrics to improve their team. And two, I was struck by the following:

“Instead, Beane and his front office have bought in bulk: They’ve brought in as many guys as possible and seen who performed. They weren’t looking for something that no one else saw: They amassed bodies, pitted them against one another, were open to anything, and just looked to see who emerged. Roger Ebert once wrote that the muse visits during the act of creation, rather than before. The A’s have made it a philosophy to just try out as many people as possible—cheap, interchangeable ones—and pluck out the best.”

Sounds a lot like our old friend, Seth Roberts, describing the value of self-experimentation - start small, do a lot of them, learn by doing.

Build Great Models . . . Throw Them Away by Mark Ravina. A digital humanities researcher makes the case for using data and statistical methods of modeling not to answer questions, but to come up with better questions. Really enjoyed the great examples in this post.

App data reveals locations, times and distances of Calgary’s runners and cyclists by Meghan Jessiman. A collaboration between RunKeeper and the local Calgary Herald newspaper led to some interesting findings and, of course, some activity heat maps.

A Digital Dose of Magic Medicine by Naveen Rao. Naveen connects the dots between the recent controversy surrounding Doctor Oz to the possibly misplaced hopes we’re putting in tools like HealthKit.

9-Volt Nirvana by RadioLab. This episode of the always interesting RadioLab tells the story of a journalist who was hooked up to a tDCS device for a sniper shooting exercise. The device helped her accuracy in the simulation, but then there was an unexpected after-effect. For three days afterward, the voices of self-doubt and self-abnegation receded from her consciousness. She talks about that experience directly on her blog. (Thanks to Steven Jonas for sending this one in!)

Tracking Sleep With Your Phone by Belle Beth Cooper. A great roundup here of iOS and Android apps you can use to track sleep. I especially appreciated the nice discussion of the current limitations of using mobile apps to track and understand sleep.

From Missiles To The Pitch: The Story Behind World Cup Tech by Melissa Block and NPR. If you’re wondering how FIFA is able to track the movement of individuals players during this year’s World Cup then this is for you. You can also check out all the data on FIFA’s website here.

Show&Tell
Productivity, the Quantified Self and Getting an Office by Bob Tabor. Bob works at home and was curious about how productive he really was. After using RescueTime he realized maybe he wasn’t getting the productive time he really need.

Basis to Roambi by Florian Lissot. Florian wanted to explore his Basis data. After using Bob Troia’s great data access script and some additional tools to aggregate multiple files he was able to create some great visualizations with Roambi and learn a bit more about his daily patterns of activity.

Do you have a self-tracking story you want to share? Submit it now!

Visualizations
losangeles-transport
How We Move in Cities by Human.co. It seems that making heatmaps based on movement is all the rage these days. Human has gone one step further than previous entries in this category by including motorized travel alongside cycling, walking, and running data. Don’t forget to check out the amazing GIFs as well.

cecinestunedataviz
This is Not a Data Visualization by Michael Thompson.

“[...] visualizations are not the data. The data is not the sum of the experience. We’ve been inappropriately using data visualizations as the basis for statements and conclusions. We’re leaving out rigorous statistical analysis, and appropriate qualifiers such as confidence intervals. It’s exciting that we’ve become more and more a society of pattern-seekers. But it’s important that we don’t become lazy and cavalier with what we do with those observations.”

MSFTdataviz
Reflections on How Designers Design With Data [PDF] by Alex Bigelow, Steven Drucker, Danyel Fisher, and Miriah Meyer. Researchers from Microsoft and the University of Utah sought out to understand how designers go the process of understanding data and creating unique visualizations.

Do you have a QS data visualization you want to share? Submit it now!

From the Forum
Best passive GPS Logger?
Quantified Baby
Android App for Self Surveys

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What We Are Reading

We’ve compiled another list of interesting personal data and Quantified Self articles, self-tracking stories, and data visualizations. Enjoy!

Articles

Experimental evidence of massive-scale emotional contagion through social networks by Adam Kramer, Jamie Guillory, and Jeffrey Hancock. Facebook engaged in a large study to see if emotional states could be transferred/changed via the emotional content of the News Feed. A lot of hubbub recently about this research article related to what it means to knowingly consent to research.

Who Owns Your Personal Data: The Incorporated Woman. Jennifer Morone has added herself to a long list of individuals making a statement against the commercialization of personal data. What started as a design assignment has morphed into a statement against others profiting and controlling personal data. (Immediately remind me of this Kickstarter project.)

Quantified Self and the Ethics of Personal Data by Ian Forrester. Ian does a great job here of exploring current conversations about the variety of ethical questions that come with creating, using, and owning personal data.

Visualizing Algorithms by Mike Bostock. Mike is the creator and steward of the d3.js data visualization library. In this fascinating post, he recounts one of his recent talks about how visualization can be used to understand how algorithms work.

“[...] algorithms are also a reminder that visualization is more than a tool for finding patterns in data. Visualization leverages the human visual system to augment human intellect: we can use it to better understand these important abstract processes, and perhaps other things, too.”

Biometric Shirt for Astronauts Gets Antarctic Tryout by Eliza Strickland. Eliza describes a “try-out” for using self-tracking technology to better understand vital signs and activity during space travel.

Show&Tell

My Solution for Quantified Self: Prompted Data Aggregation by Jonathan Cutrell. Jonathan decided to build his own simple system for self-directed data collection prompts. “While they may be simple data points, and while the questions will repeat, the concept is simple: my computer asks me a question, and tracks my answer for me.”

Quantified Splunk: Tracking My Vital Signs by David Greenwood. David describes how he uses Splunk, a data monitoring and analysis tool, to help him track and make sense of new personal health data he’s collecting. It will be interesting to see what he learns as he starts adding and exploring more of his self-tracking data.

How I Wrote 400K Words in a Year by Jaime Todd Rubin. In March of 2013, Jaime decided he was going to try and write every day. In this post he describes some of the lessons he learned through tracking his writing practice. I was particularly drawn to his methods for tracking all his writing through Google Docs.

Do you have a self-tracking story you want to share? Submit it now!

Visualizations

Withings-via-IFTTTCharting Withings Data Using IFTTT, Google Spreadsheets, and d3.js by Dan Harrington. Dan didn’t like the way Withings presented weight data in it’s visualization. So, he put together a tutorial to show how you can grab your Withings data via IFTTT, import it into a Google Spreadsheet, then visualize it using d3.js, an open-source data visualization library.

 

 

MapRunKeeper1.5 Million Walks, Runs, and Bike Rides by Mapbox and RunKeeper. The Mapbox team worked with Runkeeper to map publicly shared routes. Really interesting to zoom around the world map to see where people who use RunKeeper are exercising.

 

 

Do you have a QS data visualization you want to share? Submit it now!

From the Forum

HealthKit
Lifelogging via Calendar Application
Help Analyzing Text Files?
Breakout: Productivity Tracking

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What We Are Reading

Enjoy this week’s list of articles, show&tells, and visualizations!

Articles
Strava is Just the Start: The Promise of Open Trail Data. by Mary O’Connor. Data standards might be one of the most boring topics that has a real impact on our daily interactions with data. In this short piece you’ll learn how public transit data standards that help you know when the bus or subway is arriving are influencing a new standard for public trail mapping.

A Stroke Diagnosed With a Selfie by Olga Khazan. A brief piece here tells the story of Stacey Yepes, a woman who used her phone to record the onset of her second stroke.

On Behavior Modification and Agency by Rebecca Pardo. Do our devices change our actions or do we? This nice post by Dr. Pardo is a recommend read for anyone thinking about behavior change in the context of Quantified Self apps and tools.

Making Art out of Everyday Life by Aimme Levitt. If you’re in or around Chicago this summer I highly suggest visiting the Elmhurst Art Museum for the “Lifeloggers: Chronicling the Everyday” exhibit. If you can’t make it, this article about the exhibit will have to suffice.

Visualization of Human Behavior Data: The Quantified Self [pdf] by Alessandro Marcengo and Amon Rapp. This book chapter outlines ideas and insights about self-tracking from a research standpoint. The two authors go on to also describe new methods of visualization and data management they believe could positively impact people using self-tracking tools now and in the future.

Show&Tell
The DIY Pancreas by Scott Leibrand and Dana Lewis. This isn’t a single post, but rather a long story about two people working together to use data to help learn about and take control of type 1 diabetes. You can start here to learn why it was necessary to hack a system together in the first place.

Can Heart Rate Variability be Useful in Predicting A CF Exacerbation? bib Julie Desch. This is a pretty early account of what Julie is learning by measuring her HRV, but it will be interesting to follow her story along the way!

Visualizations
visitsVisits. Visits isn’t just a neat visualization. It’s a online platform to explore your location history, trips, and what you’ve done along the way. Currently it works with OpenPaths and Google Location history data as well as geotagged Flickr photos.

 

 

 

keystrokes

My Working Pulse by Victor Pascual. Victor uses an open-source keylogger to track his computer usage and work habits. This visualization, made with Tableau, shows his keystrokes by day and per month.

 

 

 

vizcat

Data Visualization Catalogue by Severino Ribecca. If you’re interested in the many different methods of data visualization, this is a good place to start. Severino has created a nice directory here that explains many of the different common visualization methods and the tools you can use to create them. To learn more about this project you can watch his talk at the London QS meetup here.

 

 

 

From the Forum
Zeo Sleep Monitor – Data Viewer Application

Home Potassium Testing

Jawbone Up – How to Access Intra-day Data

Saga vs. Moves

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