Tag Archives: reading

What We Are Reading

A long list for this week’s What We’re Reading. I actually had to stop myself from adding in even more visualizations and show&tell examples! We’re always on the lookout for more though, so make sure tweet us your favorite links!

Articles
Fitted by Moira Weigel. A very thoughtful essay on gender, identity, and confession – all while using the Fitbit as the narrative backdrop.

What kind of love does the FitBit prepare us to feel? Is it self-love? Or is even the self of the exorexic a kind of body armor?

How to Build a Smart Home Sensor by Dave Prochnow. If you have 2 hours, $95, and know how to solder, then you too can build this DIY sensor to measure the temperature, humidity, light, and noise for any room in your home. If someone builds and tests this please let me know (Would love to see air quality sensors included too!)

It’s Hard to Count Calories, Even for Researchers by Margot Sanger-Katz. New research shows Americans are eating less, but can we really trust the data? Margot does an excellent job here of rounding up the various ways we measure food consumption in the United States while coming to a commonly heard conclusion – food tracking is just plain hard.

Hadley Wickham, the Man Who Revolutionized R by Dan Kopf. If you’re knee deep in data analysis, or just like poking around in stats software, you’ve probably heard of and used R. And if you’ve used R, then there is a good chance you’ve used many of the packages written by Hadley Wickham. Great read, if for nothing else you learn what the “gg” in ggplot2 stands for.

Heart patient: Apple Watch got me in and out of hospital fast by Neil Versel. When Ken Robson wasn’t feeling well he turned to his Apple Watch. After noticing lower than normal heart rate readings his checked himself into the emergency room and soon found out his hunch was right, he had sick sinus syndrome.

New Australian experiment rewards joggers with 3D printed chocolate treats based on exercise data by Simon Cosimo. Sign me up!

Show&Tell

Screen_Shot_2015-07-24_at_11.41.15_AMHow Does Giving Blood Affect Your Iron Levels? by Ryan W. Cohen. Simple and to the point blog post by Ryan explaining how he discovered elevated iron levels in his blood, and the simple test he tried to find out why.

The Quantified Athlete by Matt Paré. Matt is a minor league catcher in the San Francisco Giants organization. In this post, the second in a series (read Part 1 here), Matt discusses how he became interested in tracking his biomarkers, and what he’s experimenting with.

What I Learned When I Stopped Wearing a Fitbit After Seven Years by Michael Wood. Michael writes up a brief post on how he felt when he was separated from his Fitbit activity tracker.

1*n0JEGs6Mzgiri0kAUYPDkgHow I tracked my house movements using iBeacons by Joe Johnston. Joe uses a few iBeacons to find out where he spend time in his house. Fascinating idea, makes me want to play with this technology as well!

Visualizations

Screen Shot 2015-06-30 at 8.55.26 amVisualizing a Simpler RunKeeper Training Plan by Andy Kriebel. Andy presented his running data, and how he uses a few tools to keep track and visualize his data as he trains for a marathon. Follow the link and you can see his Tableu workbook, which includes a screencast of his presentation, and links to his workflow.

gIV8BlGI decided to take a peek at my Netflix viewing data by Reddit user AmericanPicker69. This enterprising individual decided to take a peak into his user account to understand his Netflix viewing habits. Turns our a simple copy/past is all you need to do to get the raw data. Who knew?!

eUKFHBOMy weight loss journey by Reddit user IMovedYourCheese. Loved this graph and the implementation of BMI categories, a moving average, and lower/upper bounds for weight loss. He even provided the excel template if you’d like to use it with your own weight tracking.

From the Forum
Teach Arduino from Beginner to Making a Quantified Monitor
Google Fit

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What We Are Reading

Have you registered for our QS Europe Conference? Makes sure to do so soon as early bird ticets (€149) are almost sold out. Register today!

Articles

Why Cities Need More Technology To Improve Low-Income Citizens’ Lives by Ben Hecht. Can technology create meaningful impact for the disadvantaged in communities across the United States? In this brief article, Ben Hecht describes a few exemplary projects, which are building and using technology to for social impact.

We are data: the future of machine intelligence by Douglas Coupland.

I sometimes wonder, How much data am I generating? Meaning: how much data do I generate just sitting there in a chair, doing nothing except exist as a cell within any number of global spreadsheets and also as a mineable nugget lodged within global memory storage systems — inside the Cloud, I suppose.

New open source uBiome github repository for data analysis tools by Alexandra Carmichael & Richard Sprague. Have you started testing your microbiome and want to do a more in-depth analysis? Check out this post and the open source tools.

You Shouldn’t Trust Me by Mike Lazer-Walker. A brilliant post by Mike describing a coffee tracking application that he  released as both a paid and open source application.

It’s more important to me that we seriously think about our privacy, and what trust means in context of software that handles our personal data. We need to think about the repercussions of trusting large corporations that don’t have our best interests at heart and have no incentives or obligations to be transparent.

Show&Tell

Track It! by Dave Mierau. A short post, but Dave does a great job of describing the power of monitoring and tracking. Go spreadsheets!

Currently Tracking by Chris Campbell. What is your tracking routine? In this post, Chris describes a day in the life of his quantified self. I’m sure you’ll learn about one or two new apps/tools. I did!

Visualizations

tumblr_nrqzeeL6Cj1qzbok1o2_1280 Carl Apstein: Annual Reports by Nicholas Felton. It’s no surprise that Mr. Felton is always on the lookout for Annual Reports from around world. In this post he posts a few photos from a hand-drawn report by the German zoologist, Carl Apstein, from the 1930s.

From the Forums

What do you think of a Personal Control Center?
Data Collection and Analysis
Beta-test a very unique mood tracking app – easily export your data and analytics

This Week on QuantifiedSelf.com

Our Data, Our Health: Thoughts on using mHealth for the Precision Medicine Cohort
Quantified Self Public Health: Stephen Downs on Building a Culture of Health
Runkeeper & Research: The Keeping Pace Study

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What We Are Reading

Enjoy this week’s list!

Articles

Big Data for the Spirit by Casey N. Cep. Interesting piece here on SoulPulse, a study using text messages to examine spirituality. Can faith be measured and quantified? These researchers are trying to find out.

Big Data Not Doping: How The U.S. Olympic Women’s Cycling Team Competes On Analytics by Bernard Marr. Nice short article on Sky Christopherson and the personal data-driven training program that resulted in a silver medal at the 2012 Olympics for the Women’s track cycling team.

The Quantified Cow: Wearables Will Monitor Animals As Closely As Humans by Ben Schiller. First we put sensors on ourselves. Then we started putting them on our pets. Now, we’re working on putting them on our cattle. What’s next?

Show&Tell

stepCountingQuantified Self: Step Counting by Chad Lagore. Chad wrote up a great analysis of what he learned from analyzing step data natively tracked through his iPhone. Of course, special kudos to him for using our QS Access app to download his data.

Visualizations

JobsVisualizationWhere Are the Jobs? by Robert Manduca. Robert took data from the Census Bureau’s Longitudinal Employer-Household Dynamics dataset and visualized each job as a dot on the map. Fascinating to see where different industries cluster around the United States.

OkavengoHRHippoHippo Attack! by Jer Thorp. Ever wonder what happens when you’re attacked by a hippopotamus? Above is the plot of Dr. Steve Boyes’ heart rate during the attack. Make sure to click through for an amazing account of the event.

From the Forum

Resting Heart Rate Tracking
REMzen Sleep Tracking
Basis Peak

This Week on QuantifiedSelf.com

Mark Moschel: Parasites and Gut Repair
Steven Zhang: Concussions, Headaches and the Whole30 Elimination Diet
2014 QS Visualization Gallery: Part 2
QS Radio: Episode #3

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What We Are Reading

Hello again! Here we are with another list of articles, links, and visualizations for you. Enjoy!

QS15 Reactions
We’ve started to see a few great blog posts and articles describing the experience of attending the QS15 Conference and Expo. For the next few weeks we’ll be highlight a few here.

My Data, Your Data, Our Data by Murray Grigo-McMahon
Notes from the 2015 Quantified Self Conference by Arpit Mathur
Quantified Self 2015 by Phoebe V. Moore
QS15: Measurement with Meaning by Ben Bending

Articles

The Future of Food Data: Toward Transparency, Personalized Design, & Re-Thinking the Concept of a ‘Food Label’ by Sam Slover. We highlighted Sam’s work on visualizing his food last year and it nice to see that work is continuing. I’m interested to see where this goes.

An Evening with the Consciousness Hackers by Nellie Bowles. Brain tracking and augmentation is definitely on the rise. Great to see the Consciousness Hacking group get some attention. (We were honored to have Mikey Siegel and Ariel Garten participate at the QS15 Conference and Expo. Look for their talk soon!)

Make people the controllers of their data to help the NHS go digital by Andrew Chitty.

There’s a solution to this too. Make it the default assumption that the patient is the owner or controller of all data relating to them. They can then share this data with whichever parts of the health service they wish.

This might sound slightly outlandish but think about it: we’re increasingly going to see digitized records become the norm, with many of them self-generated by citizens as part of their self-care – which we want to encourage, not only because it engages people with their own care but because it short circuits the technical barriers around information sharing.

What if We Really Set Data Free by Elizabeth Nelson. I had the pleasure of speaking at length with Elizabeth about Quantified Self, data, and data access. Make sure to also check out this great interview with Josh Berson.

The Crying Baby and the Sympathetic Fitbit by Jocelyn Wiener. A great article by a mother with a new baby who learned how sleep tracking can be useful.

My sleep didn’t get any better just because Fitbit started quantifying how crappy it was. But I felt validated, if only by someone with a rechargeable battery for a heart. While I received plenty of clucking sympathy from family and friends, my new device gave me something arguably better: evidence.

Show&Tell
Basis_Sleep Is drunk sleep less restful than sober sleep? How much so? Why or why not? by Justin Lawler. Not sure where I saw this, probably in the #quantifiedself stream on Twitter, but this Quora answer is pretty fantastic. Justin takes the time to explain what he found when he ran a test on how alcohol affected his sleep using his Basis watch.

Quantified home birth by Morris Villarroel. A beautiful post by our friend Morris, who describes his tracking experience during the day his son was born.

Visualizations

New-image-web-FCP Food Chain Project by Itamar Gilboa.

The Israeli-Dutch artist kept a diary of everything he ate and drank for the duration of a year. He meticulously kept track of his daily consumption. Some three years later, the results can be seen in a sculpture installation, the Food Chain Project. His installation, a traveling pop-up supermarket consisting of more than 8,000 white plaster sculptural groceries, physically represents Gilboa’s yearly consumption.

 

2014_running From a Net to a Harpoon: 2014 Annual Review by Michael Anthony. I cannot stress how beautiful this annual review is. Maybe it’s the focus on running that gets to me, but the whole this is worth looking through. You can even go back in time and view Michael’s reports from 20112012, and 2013.

From the Forum
Quantifying Caloric Intake
How to Quantify Myself

This week on QuantifiedSelf.com
2015 QS Visualization Gallery: Part 1
2015 QS Europe Conference: Scholarship Application Now Open

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What We Are Reading

After a few weeks of we’re back for another round of What We’re Reading. As you may know, we just wrapped on amazing three day conference and expo in San Francisco. Thank you to all that came, participated, and helped make QS15 such a wonderful experience!

Couldn’t make it to QS15? You’re in luck! We just announced our fourth Quantified Self Europe Conference. Join us in Amsterdam for an intimate and engaging event. You don’t want to miss it! Early bird tickets are on sale now.

Now, on with the show!

QS15 Reactions

We’ve started to see a few great blog posts and articles describing the experience of attending the QS15 Conference and Expo. For the next few weeks we’ll be highlight a few here.

Quantified Self ’15 Day 1 Recap by Tim Hanrahan
Quantified Self Expo, Part 1 by Karl Etzel.
What you can learn from the 2015 Quantified-Self Conference by Guillaume Tourneur
What I learned at Quantified Self 2015 by Richard Sprague

Articles

Is Direct Access to Lab Results Helpful or Harmful? by Patricia Salber. Patricia updates a post, first written in 2011, about the pros and cons associated with having direct access to medical testing and lab results.

Jaguar wants to monitor its drivers’ brainwaves, heart rate, and breathing by Jacob Kastrenakes. Sounds a bit far-fetched, and we may never see this research project in our cars, but I was intrigued by this:

But Jaguar says that it should be able to monitor for brainwaves through sensors embedded in the steering wheel. It’s apparently looking into adapting tech that’s already used by NASA to monitor pilots’ concentration.

Sounds interesting, but I’m also left I’m also left wondering if it will be worth measuring my concentration when the cars of the future will be driving themselves!

Google Reveals Health-Tracking Wristband by Caroline Chen and Brian Womack. Interesting to see that Google X is getting into the wearables game. Anyone know the difference between this device and other similar tools like Basis?

Biggest winner of the Finals? Rest! by Tom Haberstroh. What helped the Golden State Warriors have one of the best seasons in NBA history and capture the championship? Quantified Self of course!

They Warriors are as nerdy as it gets. As clients of wearable technology provider Catapult Sports, they monitor their players’ workloads in practice with GPS monitors and analyze the data with acute attention to maximizing performance while minimizing injury risk.

Show&Tell
Sorry_RobinW
Sorry by Robin Weis. A fascinating and beautifully articulated exploration into apologies between Robin and her parter. (Note: This was first posted by Robin on our Quantified Self Facebook Group. Join us forfor some great conversation!)

TimeTracking_MelanieP
How Tracking What I Do Every Day Helped Me Find Better Work-Life Balance by Melanie Pinola.

Most importantly, time tracking has helped me think more clearly about how I spend my time. I can see at a glance where I’m spending too much time in one area and not enough in others and also find patterns in my behavior.

Visualizations

TimeSleep
Find Out How Much Less Sleep You’re Getting Than Everyone Else by Dave Johnson and Alexander Ho. Time and Withings paired up to create some great interactive visualizations on sleep.

RyanB_appswitch
Visualizing “Productivity” with Elasticsearch, Logstash and D3 by Ryan Brink. Ryan wanted to get “look into my life at the keyboard” so he decided to gather some data and use D3 to visualize it. Click for the graphs, stay for the in-depth how-to explanation.

JawboneMood
What Makes People Happy? We Have the Data. by Sukrit Mohan. Jawbone takes a peak into their data to see what impacts mood. Above we see “a clear relationship between steps on the previous day and the mood of the user in the morning: better moods correlate with more steps.”

From the Forum

Food choice motivation experiment – Looking for a few people
Recommendation for Unique HR Monitoring Situation
Looking for the Zeo app for iPhone

QuantifiedSelf.com

QS15: What Happened?
Comparing Apple Watch and Fitbit One for Step Tracking
Announcing the 2015 Quantified Self Europe Conference
Anand Sharma: Aprilzero, Gyroscope, and Me

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What We Are Reading

Enjoy this week’s list!

News

You’re invited to join us on June 20th for an amazing day of demos, talks, and sessions highlighting the very best of the Quantified Self at our QS15 Expo. Readers of What We’re Reading get a special discount. Just click here to get $10 off your ticket price.

We’ve received some amazing entries in our Future Normal QS15 Challenge, so amazing that we’ve extended the challenge a few days. If you’re reading this before Monday, June 1st make sure to enter nowfor your chance to win two free Ultimate Panels!

Articles

I’m the New CTO of HHS by Susannah Fox. So great to see this announcement. All of us at QS Labs have the utmost respect and admiration for Susannah and her dedication to positively impacting human health. Additional posts and articles about Susannah’s appointment can be found here and here.

As technology savvy as Susannah is, it is her capacity to hold a huge vision, and keeping patients at the center of that vision, that make her so deeply qualified for this job. No body asked me who the next CTO of the government was going to be, and frankly I was a little worried about who would be next. Bryan Sivak and Todd Park (her predecessors in this role) leave pretty damn big shoes to fill. Someone in the Whitehouse/HHS is casting a net wide enough to know who the really transformational thinkers in our industry are. – Fred Trotter

Special Report: Hacking the Human OS by IEEE Spectrum. A fantastic three-part report here by folks over at IEEE. This collection of articles, infographics, and op-eds is a must read.

Public Health and Tech: Long Lost Lovers? by Vanessa Mason. A short but nice article outlining how technology may interface with Public Health practices and program implementation. Great to see a mention our RWFJ supported Quantified Self Public Health Symposium.

The quantified self in a complex system: A systems perspective on mental workload by Steven Shorrock. A great post here by Steven concerning the role of quantitative information in dynamic and often complex human systems (like your workplace).

For these reasons, most numerical measures concerning human experience and system parameters should be treated as social objects. Any data on mental workload, sector capacity values, traffic numbers, or whatever, are a reason for a conversation, the start of a conversation – not an end point.

Show&Tell
milesCompBar
Apple Health App and My Quantified Self by Nadine Fischoff. One day Nadine realized her iPhone was keep track of her daily activity (steps and distance walked) so she decided to dive into the data to see what she could learn. With the help out our QS Access app (download it today – it’s free!) she was able to access, download, and analyze her data. What did she learn? Moving to New York City from Mountain View increased her daily walking 48%!

2014 Writing Progress by Ben Wilson. A great post here by Ben describing his writing progress over 2014. Ben tracked his goal of writing two novels in 2014, and ended up tracking over 90,000 words written.(Found via the always excellent Exist.io Blog.)

Visualizations
Screen Shot 2015-05-30 at 11.43.17 AM
Withings Health Observatory: Blood Pressure by Withings. Great to see Withings has added blood pressure to their real-time data dashboards.

Visualizing the Quantified Self: Giving Form to Lifelogging by Fil Greenwich. A nice overview post of different data visualizations.

From the Forum

GPX Import to Google Fit
Measuring Anxiety Using Smartphone Sensors
Is there a smartwatch app akin to Reporter or KeepTrack?

This Week on QuantifiedSelf.com

Welcome to Our QS15 Friends of QS

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What We Are Reading

So much going on this week! We just announced and opened registration for our QS15 Exposition. If you’re in the Bay Area join us on June 20th for an amazing day of demos, talks, and sessions highlighting the very best of the Quantified Self. Readers of What We’re Reading get a special discount. Just click here to get $10 off your ticket price.

We also just announced the Future Normal QS15 Challenge. Thanks to our long time friends and QS sponsors InsideTracker, we’re inviting you to take part in an exciting challenge to develop new ideas and questions about what we can learn from unlocking the information stored in our blood. Click here to learn more and enter to win two free Ultimate Panels!

Now, on with this week’s list!

Articles

How accurate is the Apple Watch’s step counter and distance tracking? by Dan Graziano. Great article testing how accurate the new Apple Watch is versus other activity trackers and smart watches. It’s a short(ish) controlled experiment, but the initial results seem positive. Key takeaway: if you have an Apple Watch take the time to calibrate it!

Forget the Fitbit: Can Wearables be Designed for the Developing World? by Jessica Leber. Together with Frog and ARM, UNICEF is launching a “Wearables For Good” challenge to generate ideas and designs for new sensors and technologies that can be used in “resource constrained environments.” Check out the challenge website here: Wearables For Good.

Is the Wearable Health Movement Sustainable by Tim Bajarin. TL;DR: Yes.

With Great Data Comes Great Responsibility by Paz. Ownership, privacy, and longevity. These are the three topics taken on in this long, but well written article on data. If you’re working with or collecting a user’s data this is a must read. And if you’re sending your data to a service, you might as well read it too.

Show&Tell

Screen Shot 2015-05-23 at 11.09.10 AM Data is Personal by Frances Angulo. A beautiful post by Frances about using a few simple tools to track anxiety, including a few wonderful visualizations. Once again, I’m astounding by the simple power of using a tool like Google Forms to ask oneself the question that matter.

Visualizations

021acc7b0 From Paint to Pixels by Jacoba Urist. A nice article on data as art featuring some of our friends such as Laurie Frick, who’s work you see above.


This is what it is like to be charged by a hippopotamus. by Jer Thorp. Turns out it’s super scary and makes your heart rate jump through the roof. Make sure to click through to see and hear the visualization. It’s well worth it.

Access Links

Are Wearables Violating HIPAA?
What Happens to Your Data When You Monitor Your Personal Fitness
Apple, Google, Other Tech Firms Fight U.S. on Smartphone Data Access

From the Forum

A survey on QS in organizations
Sharing self-generated data with healthcare professional?
Central repository for QS data
BioMetrIcs: Beta test a new Android app

This Week on QuantifiedSelf.com

Quantifying Family Caregiving
Tracking Fight or Flight at the Office
Forget Normal: A QS + InsideTracker Challenge

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What We Are Reading

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A few notes up top here. First, if you haven’t yet checked it out please give our new QS Radio podcast a listen. We’d love to hear what you think!

Second, our QS15 Conference & Exposition is fast approaching. It’s going to be a wonderful and jam-packed three days of talks, sessions, and amazing demos. Our Early Bird tickets are almost gone. Register before Monday (May 11th) to get $200 off the regular price!

Now, on to the links!

Articles

Data (v.) by Jer Thorp. So many people in my network were sharing this over the last few days I had to give it a read, and I’m happy I did. Jer Thorp makes a succinct argument for turning the word “data” from a amorphous blob of a noun into a verb.

By embracing the new verbal form of data, we might better understand its potential for action, and in turn move beyond our own prescribed role as the objects in data sentences.

How Not to Drown in Numbers by Alex Peysakhovich and Seth Stephens-Davidowitz. In this great article, two data scientists make the case for “small data” – the surveys and rich contextual information from open-ended questions.

We are optimists about the potential of data to improve human lives. But the world is incredibly complicated. No one data set, no matter how big, is going to tell us exactly what we need. The new mountains of blunt data sets make human creativity, judgment, intuition and expertise more valuable, not less.

Data, Data, Everywhere, but Who Gets to Interpret It? by Dawn Nafus. We’ve been collaborating with Dawn and her team at Intel for quite a while, and we’ve learned a lot. Reading this wonderful piece lead to even more learning. Dawn uses this article to describe not only the community of individuals who track, but also why, and what happens when it comes time to interpret the data. (You can explore DataSense, the tool Dawn and her team have been working on, here: makesenseofdata.com)

Applying Design Thinking to Protect Research Subjects by Lori Melichar. Lori is a director at the Robert Wood Johnson Foundation and recently did some work related to how institutional review boards (IRBs) function. For those who don’t know, IRBs are the groups/committee that evaluate the benefits and harms of human subjects research. Their process hasn’t changed much in the few decades, but the face of research has. In this short post Lori describes the ideas that came from thinking about how we might re-design the current system.

ResearchKit and the Changing Face of Human Subjects Protections by Avery Avrakotos. As mentioned above, research is changing, and one of the big changes we’re currently seeing is the use of mobile systems like Apple’s ResearchKit. It’s not all sunshine and roses though, the popularity and excitement that goes along with these new methods also means we have to think hard about we protect those who choose to participate.

Show&Tell

I measured my brain waves and task performance on caffeine- here’s what I found by John Fawkes. John was interested in how much caffeine he should be ingesting to help with his mental and physical performance. In this post he details some of what did, how he tested himself, and what he learned about how caffeine, and how much of it, affects different aspects of his life.

The Quantified Self & Diabetes by Tom Higham. Tom was diagnosed with diabetes in the late 80s. In this short post he details some of the different apps and tools he uses to “get my HbA1c down to the best levels it’s ever been.”

Visualizations
2014_music_EB
2014: A Year in New Music by Eric Boam. I had the pleasure of meeting Eric recently in Austin and was blown away by his ongoing music tracking project. I’m excited to see this new report and learn a bit more about what he’s discovered.

AppleWatch_HR_BradLarson
Apple Watch Heart Rate Comparison by Brad Larson. Brad used a simple script to export the heart rate values from his Apple Watch and compare it to two different heart rate measurement devices. Above is a comparison with the Mio Alpha, and he also compared is to a more traditional chest strap and found the readings to be “nearly identical.”

From the Forum

Lady Data
S+ Device
Continuing posts on visualizing my weight workout data

This week on QuantifiedSelf.com

QS Radio: Episode 2
QS15 Conference Preview: Katie McCurdy on Symptom Tracking with Spreadsheets

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What We Are Reading

WWAR_Header

A short list this week. Enjoy!

Articles

How Networks Bring Down Experts by Max Borders. Max gets double points for this great piece on using networks and peer-to-peer learning for developing personal expertise. Loved the reference to the writing of Michael Polanyi.

Mark Cuban on Blood Testing- Drawing the Wrong Conclusion or a Step in the Right Direction? by Bruce Williams. A nice piece by Dr. Williams about the recent controversy over patient generated blood testing brought on by Mark Cuban.

Show&Tell
MA_FitnessIndex
Defining a New Indicator of Cardiovascular Endurance and Fitness by Marco Altini. Marco has been exploring fitness and heart rate variability detection using iOS applications. Recently he’s been using activity and HRV to examine a new method for determining fitness level. As per usual, Marco wrote an amazing and in-depth report using his own data to showcase what he’s learning from his new application.

Visualizations
QSDietActivity
Quantified Self: A Data Visualization by Joyce Chow, Kinan A, and Adam S. Three students explored data visualization and self-tracking through logging diet and activity.

Access Links

Americans’ Views on Open Government Data
Thank you for sharing

From the Forum

I wrote an open-source app to track everything. It draws nice charts
Continuing posts on visualizing my weight workout data

 

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What We Are Reading

WWAR_Header

One quick note today before we dive into this week’s set of articles and ideas: Did you know we started a podcast? Check out our first episode here and subscribe on iTunes!

Articles

Who Owns Medical Records: 50 State Comparison by George Washington University’s Hirsh Health Law and Policy Program. You’ll never guess how many states have laws that give patients ownership rights for their medical records. Spoiler: ONE.

Want to Improve Health? Help People Use and Share Their Data by Risa Lavizzo-Mourey. Dr. Lavizzo-Mourey, president and CEO of the Robert Wood Johnson Foundation, shares her thoughts about how access to and sharing data can bring about a Culture of Health:

I believe that, fundamentally, data is all about helping people find new opportunities to pursue optimal health and participate in their own care. That means promoting ways to get, use, and share information about themselves easily and securely.

Technology That Prods You to Take Action, Not Just Collect Data by Natasha Singer. A nice article here that includes some great insights from our friend and community contributor, Natasha Dow Schüll. Are devices being “dumbed down” or are we when we “cede [our] free will to machine algorithms”? Only time will tell.

Can healthy people benefit from health apps? by Iltifat Husain & Des Spence. In this debate, Iltifat Husain and Des Spence discuss different types of health tools, applications, and devices being used by healthy individuals. Do they impact our health for the better? These two physicians duke it out through spoken and written word.

Excavating Old-School Self-Tracking Tools by Jamie Todd Rubin. A short but interesting thought experiment here by Jamie. What would happen if we analyzed the vast troves of “soft” data found in the diaries and journals? What could we find out about our past, our history?

Show&Tell
How We Are Measuring Happiness at Whitesmith by Daniel F. Lopes. Another interesting example of using the workplace team communication tool, Slack, to gauge and collect information about the emotional wellbeing of employees.

MK_musicListening
Impact of music streaming on my listening habits by Maciej Konieczny. Maciej switched to streaming music in 2013, and it completely changed how he experienced music. In this great post Maciej he describes how exploring his music listening data (from Last.fm, of course), he was able to see just how his listening habits were impacted.

Visualizations

QuantifyingAboutTown Quantified Self About Town by Changyeon Lee. This visualization is part of a project by Changyeon to map artificial light in New York City. Above you see a data visualization of artificial light data around the NYU Tisch Building

 

WeightDiet My year in calories/weight.Data exported from MyFitnesspal by reddit user qwerty2020.

Access Links

In world of health data, enemies may become friends
Why should patients have the right to a copy of their imaging data?
WHO: Share Trial Data
California Launches Initiative to Advance Precision Medicine

From the Forum

Body Analyzing Scales – the maths?
Sleep Apnea Treatments
Central repository for QS dataComparing Steps with BodyMedia FIT and Fitbit Charge HR
How to calculate the impact of activities on pain levels

 

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