Tag Archives: links

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

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 these links, posts, and articles from around the web.

Health Care Apps Offer Patients an Active Role by Ann Carrns. A nice overview of different DIY health apps and connected home medical devices.

Getting the most out of RescueTime for your Quantified Self projects by Robby Macdonell. If you’re using RescueTime to track your computer use and productivity there are many options for extending the built in data analysis. This great post by Robby, who spoke about tracking his productivity at our 2013 Global Conference, showcases a few different methods. If you use one to look at your own data let us know in the comments or on the forum.

Downloading Your Email Metadata by Nathan Yau. Another nice how-to post from Nathan on FlowingData.com. Email is an area of rich information and most of time that data is left in the vaults of our email providers. This tutorial provides a great instruction set for gathering that data using Python.

20 Day Stranger by Playful Systems and the Center at MIT. An interesting project that will sync self-tracking data with a stranger for 20 days. It’s not in production yet, but you can apply to be a part of their trial. I’m really intrigued by the idea of sharing anonymously with strangers and what you might be able to learn about another person.

Spurious Correlations, Quantified Self, and the Health Care System by Martin Spindler. Do steps calculated, counted, and correlated by the smart pedometers of today actually improve lives?

Meet the Godfather of Wearables by Maria Konnikova. A really nice long read biographic piece on Alex “Sandy” Pentland. Sandy is responsible for running one of the most innovating research and design labs at MIT. Chances are that if you’re reading this then you’ve interacted with some bit of technology that originated with Sandy and his students.

Show & Tell

Fixing Sleep with Low Blue Light. This simple, but fantastic explanation of how one individual moved up his waking time by reducing his exposure to blue light.

Quantified Self: Three Months Later by Adam Sigel. This is a nice post about how different apps and tools helped Adam engage with his health and learn more about his life.

Visualizations

EdwardSnowVisualizing Zero: How to Show Something with Nothing by Andy Kirk. We’ve had some great discussions at recent Bay Area QS Meetups about the meaning of missing data. This short piece has some great examples of how the absence of data can be an important part of the story.

 

 

MoodMapMood Maps by Erin Hedrington. Some beautiful quantified self artwork here by Erin.

 

 

 

 

DataCrystalsWorld Data Crystals by Scott Kildall. Scott takes data sets and turns them into 3D printed representations.

 

 

 

 

From the Forum

Indoor Air Quality Monitoring

Discreet Stress Monitoring in Real Time

Inside Tracker Review

Which Wearables Have CSV Export

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What We Are Reading

Click, read, enjoy!

Articles and Posts

Meet the Teams Who are Building the World’s First Medical Tricorder by George Dvorksky. We’ve been following the Qualcomm Tricorder XPRIZE since it was announced. Now that only 10 teams remain it’s nice to get a feel for what some of the groups are working on. (Disclosure: Scanadu, one of the teams competing for the prize is a sponsor of QS. We are grateful for their support.)

How One Retailer’s Employees are Using Wearables by Andy Meek. Self-tracking technology is pushing into every corner of society. It’s no surprise that we’re seeing it being deployed in the the workplace. This is definitely something to keep an eye on and I look forward to more conversations about what it means to be “efficient and productive” at work.

The Great Discontent – Nicholas Felton by Ryan and Tina Essmaker. A great in-depth interview with designer, and personal data visualization specialist, Nicholas Felton.

I’m trying to lift the veil on the size, power, humanity, humor, and narrative potential of our data by making tools that allow people to leverage it.

What Your Activity Tracker Sees and Doesn’t See by Albert Sun and Alistair Dunt. If you’re wearing an activity tracker (Fitbit, Jawbone Up, Withings Pulse, etc.) this is a must read (and watch). The interactive elements do a great job of showing you how accelerometers work to translate movement data into information.

Me, My Quantified Self, and I by Kevin Nguyen. For some reason the release of the Reporter app has created a steady stream of philosophical explorations of what it means to track and understand “the self.” Add this to you reading list if you want to ask yourself, “Would David Hume use a Fitbit?”

Life through a camera by Carmen Pérez-Lanzac [SPANISH]. A fantastic exploration of the history and possible future of camera-based lifelogging.

Let’s get physical: Discovering data in the world around us by Anushka Patil. A nice post here recapping some of the work presented at the recent National Institute for Computer-Assisted Reporting conference. I especially enjoyed .

A DIY Artificial Pancreas System? Are we crazy? by Scott Leibrand & Dana Lewis. Some of the more technically minded people in the diabetes community are not waiting for the promised Artificial Pancreas Systems of the future and have set out to test and learn from a DIY solution. Absolutely amazing stuff here.

Data Analysis: The Hard Parts by Mikio L Braun. If you think machine learning is easy or the cure for your data analysis woes, think again.

Show & Tells

Generation ‘Y’ Can’t We Sleep by Scott Fetters. If you look beyond the title you’ll find a really nice example of someone practicing to try and find a way to get better sleep.

Visualization

An Introduction to D3 by Sam Selikoff. We’re huge fans of D3 here at QS Labs. This is a great place to start if you want to learn more about this powerful data visualization package.

From the Forum

Over Stimulation

Quantifying Relationships

Mapping your Location With Moves

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What We Are Reading

Enjoy these links, articles, and ideas from around the web.

Real Analysis of Raw Data – A very fun, informative journal by Zach Jones about deriving comprehensible measurements from raw accelerometer data.

The Weight of Things Lost: Self-knowledge and Personal Informatics. In this thoughtful paper by Kaiton WIlliams, published in CHI’13, a technologist and designer discusses what he learned from a year-long self tracking experiment.

I wanted to understand how it felt to be healthy and fit, but I came to wonder about the changes in self that accompanied my technologically guided, deliberate experience: does the quest for more information about ourselves and our world help us fi nd either?

Evidence-based practice for individuals or groups: let’s make a difference by M. de Groot, J. M. van der Wouden, E. A. van Hell, M. B. Nieweg, in Perspectives on Medical Education. This short communication contains a very useful and clear description of why the definition of “evidence” must vary with context.

You Are Your Data by Sara M. Watson.  When you use personal data collection system, do you have a right to use it? What does that mean and  why should have this right?

Reconciling Quantified Self, Lifelogging, Big Data and… by Niclas Johansson. This is a very well described theory of how the different fields of QS, Lifelogging Big Data, and Social Media

We are also enjoying this growing list of crowd-funded QS tools by Eric Blue. It’s up to 30 and counting.

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What We Are Reading

Welcome to our 24th edition of What We Are Reading. Enjoy these links, articles, and ideas from around the web.

Getting started with data visualization after getting started with data visualization by Nathan Yau: The man behind the wonderful Flowing Data blog put together a simple primer for those of you interested in data visualization. Make sure to check out all the great examples.

Journal of Personal Science: Effect of Meditation on Math Speed by Peter Lewis: Originally presented at our 2013 Quantified Self European Conference, this post details Peter’s self-experiment on improving his cognitive abilities through a meditation practice.
Peter also has an excellent post on his personal website entitled, What’s Driving the Quantified Self Movement? Well worth a read.

Quantbaby: The Birth of a Datababe by Whitney Erin Boesel: Sociologist and friend of Quantified Self tackles a tough question, “Are children an extension of self when we start tracking them?” There was lot of news recently around baby tracking these days This post takes a thoughtful look at the role of identity and tracking in child rearing.

The Quantified Lives of Others by Jamie McHale: When we track ourselves are we tracking other’s by proxy?

Russell Poldrack Studying His Own Brain by Daniel Oppenheimer: A neuroscientist and imaging expert, Russell Poldrack is in the midst of a super interesting self-tracking journey. Over the course of a year he’s tracking multiple facets of himself, including his brain.

“There’s a way in which it’s a very old-fashioned project,” says Poldrack. “There’s a long history of scientists doing experiments, sometimes crazy experiments, on themselves. It doesn’t happen much anymore, but in this case I couldn’t expect a volunteer to give up this much of their time. However, I’m obsessive enough that I thought I could actually pull it off, and I have the resources to do it.”

What You’re Reading

Tell me EVERYTHING About you: What’s Next in Quantified Self?> | 740 tweets

Stealth Fitness Startup Human Wants to Make Quantified Self Mainstream | 129 tweets

From Scientology to the quantified self: the strange tech behind a new wave of self-trackers | 93 tweets

How the Quantified-Self Will Make Big Data a Normal Part of Life | 41 tweets

The Body Data Craze – Newsweek and The Daily Beast | 40 tweets

Smart Fashion for the Self-Quantified : New Wave of Wearable Tech | 26 tweets

A Digital Diaper for Tracking Children’s Health – NYTimes.com | 26 tweets

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What We Are Reading

Another great reading list for you today. We hope you enjoy these insightful and interesting pieces of writing as much as we did.

Douglas C. Engelbart passed away this week. Most known for the “mother of all demos,” he had a profound impact on the design and implementation of computing in our world.

Computer Visionary Who Invented the Mouse by John Markoff: A nice read that explains Engelbart’s background and experiences.

A few words on Doug Engelbart by Bret Victor: Bret does a masterful job here imploring us to think not about what Engelbart accomplished, but rather what he intended to do.

He intended to augment human intellect. He intended to boost collective intelligence and enable knowledge workers to think in powerful new ways, to collectively solve urgent global problems.

Thoughts and News on Quantified Self

Home Blood Pressure Monitoring: Take It to the Bank by David Magid and Beverly Green: This short editorial explains hos making blood pressure monitoring “more like modern banking: accessible, easy, and convenient” can improve hypertension management.

Winds of Change by the unnamed at the Economist: Essentially a book review of three new volumes on data analysis and visualization, this article poses an interesting question: “But should these books have been published on paper at all? ”

Data Confessions of the Quantified Self by Dorien Zandbergen: An attendee of our recent Quantified Self Europe Conference, Dr. Zandbergen presents her thoughts on the QS community and her observations of “people engaging in radical acts of self-disclosure.”

Git and GitHub for Data by Rufus Pollack: We have a keen interest here at QS in data and it’s ability to be shared amongst collaborators. In this post, Rufus Pollack describes his ongoing work describing and building systems for storing and versioning data.

Quantifying Our Cities, Ourselves by David Sasaki: Although not a new idea (see Esther Dysons The Quantified Community), David Sasaki does a nice job here of describing the opportunity to use data and “actionable knowledge” to understand and improve our cities.

Mad Scientist Sees a Future Where We See Our Quantified Selves on eBay by Daniela Hernandez: A intriguing interview with Walter De Brouwer, founder of Scanadu. (Disclosure: Scanadu is a sponsor of Quantified Self Labs).

Data, Metadata, and Privacy
There have been a lot of reactions to recent news about U.S. surveillance programs and rights to privacy. Here are a few links we found particularly compelling.

Me and my data – thoughts on online surveillance by Ethan Zuckerman: This is a wonderful piece discussing privacy and our data. Ethan does a masterful job of explaining the importance of metadata and gives a great example stemming from his work with the MIT Media Lab’s Immersion Project. (Editor’s note: We’ll have more on Immersion coming soon. Stay tuned.)

Measuring the importance of data privacy: embarrassment and cost by Jeff Leek: Another post from our new favorite statistician. Here Jeff talks about data and privacy and how he thinks about potential harm.

Using Metadata to Find Paul Revere by Kieran Healy: A sociologist describes a scenario where identifying Paul Revere as a traitor can be done with simple metadata and social network analysis.

But I say again, if a mere scribe such as I—one who knows nearly nothing—can use the very simplest of these methods to pick the name of a traitor like Paul Revere from those of two hundred and fifty four other men, using nothing but a list of memberships and a portable calculating engine, then just think what weapons we might wield in the defense of liberty one or two centuries from now.

What You’re Reading

Stealth Fitness Startup Human Wants to Make Quantified Self Mainstream | 395 tweets

The meta-quantified self: Argus app for iOS tracks all your health-tracking apps | 198 tweets

The Potential Behind Wearable Gadgets | 52 tweets

The Body Data Craze | 42 tweets

The Quantified Self: Growing Interest in APIs to Manage Personal Data | 23 tweets

Vanavond in OMT LIVE: Quantified self, huis in je handpalm en meer | 19 tweets

Hidden Capitalism In Life Hacking & The Quantified Self | 15 tweets

Wearable Devices Nudge You to Health | 14 tweets

Global List of Digital Health & Health Innovation Events | 12 tweets

Thanks again to Beau Gunderson for providing us with the top Quantified Self links mentioned on Twitter this week

Bonus Link
Gmail Thinks My Name is a Distraction by Stan James: What happens when machines start telling us what is and what isn’t important?

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What We Are Reading

We hope you like these links, articles, and ideas that we’ve enjoyed this week.

From Gary Wolf

Apple Gives Massive Nod to Wearable Tech in New iOS7 Update: This analysis of iOS7 changes for wearable technologies argues that the iPhone’s future as a QS hub matters more than the much hyped and hypothetical Apple Watch.

Drawing Dynamic Visualizations” [video] – Many clues here in this Bret Victor talk about the future of understanding our personal data. Be sure to check out the supplemental material on his website.

The Scientific Life: A Moral History of a Late Modern Vocation, by Steven Shapin: I’m finding this book very influential in shaping my reaction to some of the pious statements about “real science” that I encounter in discussions of the Quantified Self movement. Here’s an interview with Shapin that includes a link for the book.

From Ernesto Ramirez

Quantifying the body: monitoring and measuring health in the age of mHealth technologies: A thoughtful research article by Deborah Lupton exploring to sociocultural implications on self-tracking on health and identity.

A Timeline of Smartphone-enabled Health Devices by Mobihealthnews: A great look back at the how far the field of mHealth has come since 2009.

Lifeloggers by Memoto [video]: This short documentary explores the world of lifelogging through various interviews with experts such as Gordon Bell and Steve Mann.

A Personal API by Naveen Selvadurai: Naveen, co-founder of Foursquare, has started to open up his data in the form of an “personal API.” He’s challenged developers and the broader QS community to see what they can do with this data. Right now his API allows access to sleep, steps, weight, fuel (Nike Fuelband), and places.

We’ve also noticed two open challenges that might appeal to the QS community:

The Economist-Lumina Foundation Quantified Work Challenge: The Economist and the Lumina Foundation are asking for your thoughts on what “potential objective inputs or data and potential methods of collecting and reporting that information that organizations could use to build a personalized “skills tracker” for individual employees.”

Chart.js Personal Dashboard Challenge: Use the open source chart.js javascript visualization library to create your own charts and graphs based on your personal data.

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What We Are Reading

We hope you enjoy these links, articles and other bits of interestingness we’ve found around the web over the last few weeks.

Taking the Guesswork out of Designing for Walkability by Xiongbing Jin & Fanis Grammenos: How should we design urban environments? In this article, the authors explore using agent-based modeling to test (a priori) what urban designs positively influence walking in a community.

The Quantified Brain of a Self-Tracking Neuroscientist by Susan Young: Russell Poldrack is a neuroscientist and imaging expert at the University of Texas. He’s currently in the middle of a massive self-tracking project which includes bi-weekly brain scans (MRI).

Blood Glucose Monitor Data Pushed to Smart Watch by Mike Szczys: This short post on the excellent Hackaday site introduces us to Don, an enterprising hardware hacker and diabetic. He’s spending some time attempting to send his blood glucose monitor data to his smartwatch and writing about it here.

Photo Lifelogging: Why I’m Skeptical by Peter Lewis: We’re moving quickly into a word with millions of wearable cameras. Peter, a QS meetup organizer, expounds on this trend and what what might happen when we’re all  able “ to censor — sorry, “curate” — [our] own photo streams.”

Home Tweet Home: A House with it’s own Voice on Twitter by Rachel Metz: The Internet of Things isn’t the future, it’s already here. Read about how Tom Coates has “wired” his home for constant data tracking and communication.

Personalized Medicine vs Guideline-based Medicine by Jeffrey Goldberger & Alfred Buxton: A short, but very interesting article that begins to explain the competing ideas behind the design and implementation of personalized vs guideline-based medicine.

Blood and Stories: How Genomics is Rewriting Race, Medicine, and Human History [pdf] by Priscilla Wald: “[If] we understand the power of the stories we can better understand the debates surrounding race and genomic medicine, which, in turn, can help us make better ethical and policy decisions and be useful in the practices of science and medicine.” (submitted by Whitney Erin Boesel)

(If you’re interested in more academic papers related to self-tracking and Quantified Self please join our Mendeley Group).

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