Tag Archives: reading
As an English teacher Kyrill Potapov spends a lot of time working with 12 year old kids who are trying to improve their reading, writing, comprehension, and analytical skills. In this talk, he explores a remarkable method of speed reading, called Spritz, that promises to let you “read Harry Potter in three hours” with full understanding and recall. Could such a promise possibly be true? And, if the claim is true, another question arises. Is such a pace desirable and useful, or rather something quite alien to the activity of reading?
With his students, Kyrill decided to resolve these questions empirically, reading the same material in a book, on a screen using conventional scrolling, and on a screen using the novel method of Spritz, which displays words one at a time at a pace determined by the reader. They found high comprehension at the high speeds permitted by Spritz, but with some cost, which he outlines in this wonderfully clear and interesting talk.
On with the links!
Get your electronic health record: It’s your right by Lisa Zamosky. Make sure to know your rights when you ask for your medical records. A good overview of the regulations and some good links to have in your arsenal.
Open Data Rockstar: Jennifer Pahlka by Maria Renninger. We’re big fans of what Code for America is doing to make open data useful for people in communities around the United States. Great to hear a bit from Executive Director.
Awash in Data, Thirsting for Truth by Margaret Sullivan. The public editor for the New York Times goes deep on how data can be used, and sometimes abused, in the new era of data-driven journalism.
Meet the Hackers Who Are Decrypting Your Brainwaves by Sean Captain. I’m fascinated by the growing presence of brain tracking devices out there. Great to see some grassroots groups looking to make sense of all that data.
When Discrimination Is Baked Into Algorithms by Lauren Kirchner. The code that governs our machines are written by people. Fallible people who have their own opinions and biases. Who make mistakes. But what kind of legal protections are needed when discrimination is the result of the computers that run that code?
Why your bathroom scales are lying to you and how to find your true weight by Martin Robbins. Brilliant and fascinating post by Martin Robbins, who weighed himself every hour over a three-day period.
Soylent: What Happened When I Went 30 Days Without Food by Josh Helton. Say what you will about the techno-utopian food replacement product, but this is a great write-up on a month-long experiment to live off the stuff even while running nearly 70 miles per week. (Don’t forget to check out the data!)
A Heatmap of Over 900 Days of Writing Data from My Google Docs Writing Tracker by Jamie Todd Rubin. Jamie shows us the data from the last two and a half years of tracking his writing.
This Week on QuantifiedSelf.com
Announcing the 2015 Quantified Self Europe Conference Program
Track HRV, Make a Dashboard, and Have Fun with Fitbit at QSEU15
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Doctors voice concerns over plan for greater patient access to medical records by Dennis Campbell. England’s National Health Service is planning giving patients access to medical records by 2018. Additionally, they’re creating means to for patients to read and add to their doctor’s notes. Of course, some physicians are saying this might not be the best idea.
Counting the Miles: Thomas Jefferson’s Quest for an Odometer by Jennifer Harbster. Thomas Jefferson was well known for his interest in measuring and keeping track of important information. This fun article details his near obsession with being able to track how far his carriages traveled.
Helping Teachers and Schools Run Experiments by Tom Vander Ark.
Teachers are scientists, they’ve always experimented. Most of the time it’s informal, “Let’s try a new behavior management routine.” Or, “Watch this video tonight and we’ll discuss it in the morning.” Or, “Let’s try a really hard problem.”
What if we gave teachers, and whole schools, the chance to run experiments of their own or to join larger trials? What if they had access to better measures and powerful analytics?
Transform Your Eating: A Start-to-Finish Guide to Tracking Your Food by Stephanie Lee. Great overview by Stephanie here, who has covered some QS topics in the past, on how to get started with tracking your food. Lots of good tips in this article.
iMore survey shows ultra-high levels of Apple Watch usage by Rene Ritchie. iMore collected survey responses from over 8,000 Apple Watch users and compiled the results. Some interesting stats in here! For instance, according to their data over 70% of the sample stood up after receiving a “stand up” alert.
Quantifying & Hacking Focus – 2 Months In by Justin Lawler. Justin has been exploring how to better understand focus and concentration for the last few months. In this update, he talks about his Quantified Mind data and what he’s learned so far. (Note: Justin will be giving a show&tell talk at our QS Europe Conference on September 18th and 19th. Tickets are still available. Register today!)
My Working Pulse by Victor Pascual Cid. Victor used a simple open source keylogger to track how he was using his computer.
The Data of Long Distance Lovers. A fantastic analysis of text messaging data between to individuals.
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QSEU15 Preview: Putting Physiological Signals into Pictures
QSEU15 Preview: Why Should I Share My Data?
QS Europe Preview: Using Genetic Data for Recovery from Injury
QS Europe Preview: Where does your time go?
And now for a bit of fun:
Consider filling out this fun survey from the Internet’s favorite geek comic artist - The XKCD Survey!
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Cell Phones Help Track Flu on Campus by Karl Bates. In 2013, Duke University students participated in a unique research trial to track the spread of influenza. Using sensors from their mobile phones and a few medical tests, researchers were able to see how personal habits and their social networks affected who got the flu.
How San Diego is Using Big Data to Improve Public Health by Mallory Pickett. A nice article here on some new research efforts being led by our friends at the University of California, San Diego.
“You Get Reminded You’re a Sick Person”: Personal Data Tracking and Patients With Multiple Chronic Conditions by Jessica S Ancker and colleagues. A very interesting research study examining the role of self-tracking and health technology in the lives of individuals with chronic conditions.
Next Steps in Developing the Precision Medicine Initiative by DJ Patil & Stephanie Devaney. After a few months of meetings and feedback, the folks helping steer the Precision Medicine Initiative are looking for new ideas and leading examples.
My 40-Day Journey into Meditation with Muse (the brain-sensing headband) by Kal Mokhtarzada. An interesting post examining meditation and the data provided by the Muse. Kal dives deep into his data, and gives a few examples of why things tended to work, and when they didn’t.
What reporter Will Ockenden’s metadata reveals about his life by Will Ockenden and Tim Leslie. A fascinating look into what you can learn from someone just from the metadata their phone collects.
8 Years of Dating Data by Robin Weis. Robin details her dating history, starting when she was 15, in this wonderful visualization.
See it, believe it: The Web Visualization Library by Jasper Speicher. Our friends over at Open mHealth are building a great set of open source tools to work with personal health data. In this post, they describe why they built their visualization library.
From the Forum
Have you registered for our 2015 Quantified Self Europe Conference? If not, this weekend is your last chance to take advantage of our special early bird rate (€149!). We’d love to see you there so register today!
Our friends at Oura are currently crowdfunding their amazing heart rate, sleep, and activity tracking ring. Check out their Kickstarter to learn more.
Now, on with the show!
You may just have updated the map with your RunKeeper route by Alex Barth. Short post here describing a fascinating use of publicly available data from Runkeeper users around the world.
A Six Month Update on How We’ve Been Using Data, and How it Benefits All Americans by DJ Patil. A nice update on some of the current initiatives being championed at the federal level to make data more available and beneficial for all Americans. I can’t wait to see what happens next.
Discovering Google Maps New Location History Features by Mark Krynsky. Mark walks us through the new features embedded within Google Maps and Location tracking. Want to find out where you spend most of your time or how often you visit your favorite coffee shop? Google may already know!
Drowning in Data, Cities Need Help by William Fulton.
No city government, university or consulting firm can possibly figure out how best to use all the data we now have. The future lies in having everybody who understands how to manipulate data — from sophisticated engineering professors to smart kids in poor neighborhoods — mess around with it in order to come up with useful solutions.
Just Talking with Maggie Delano by Christopher Snider. Take a listen to a great conversation with our friend and QS Boston and QSXX organizer, Maggie Delano. Well worth your time.
HRV Measurements: Paced Breathing by Marco Altini. Marco is back at it again with a in-depth post about his experiments on how breathing rate affects HRV and heart rate measurements. Starting with a great review of the current literature, he then dives in to his own data and what he’s found through various experimental protocols.
Resuming Quantified Self Practices by Emily Chambliss. A short post here on using Excel to track and understand food consumption. Make sure to check out the slides from a talk she gave in 2012 at a New York QS Meetup.
My Sleep Quality of the last 2 Years by Reddit user Splitlimes. A beautiful visualization of just over two years of sleep data tracked with the Sleep Cycle app.
Time-histogram of 10 Million Key Strokes by Reddit user osmotischen.
These are plots of 10 million key strokes and about 2.4 million mouse clicks logged over a bit more than a year’s time on my computer. (Make sure to click through for more visualizations.)
From the Forum
Descriptives and visualizations for large numbers of variables
I created this site to make decisions better with an algorithm. I’d love feedback!
HRV apps for Polar H7 that include SDNN
Enjoy this week’s list!
When ‘Special Measures’ Become Ordinary by David Beer. What does it mean to have measurement, personal and institutional, as part of our everyday experience? A nice article that begins to expose what it means to operate in this new world.
Building smarter wearables for healthcare, Part 1: Examining how healthcare can benefit from wearables and cognitive computing by Robi Sen. In this article, Robi Sen describes what IBM sees as the “analytics gap” in current wearable technology. Specifically, that devices and the data they present don’t fully understand and utilize contextual information, and therefore are not providing meaningful information. What’s the answer? IBM’s Watson, of course.
Doping scandals, open data, and the emergence of the quantified athlete by Glyn Moody. A short and interesting piece that wonders if opening up athlete performance data might be a useful part of combating doping and illegal performance enhancement in professional athletics.
N of 1 Trials and Personal Health Data with Dr. Nicholas Schork. The Health Data Exploration Network hosted their inaugural webinar this past Friday. The focus was on N of 1 trials: why they’re important, how to conduct them, and the role of Quantified Self and self-tracking data.
Lifelog: Pilot Tasks of NTCIR–12. Our good friend and lifelogging researcher, Cathal Gurrin, is spearheading an innovative project to improve search and information access to lifelogging and self-tracking data. If you’re a researcher or information systems specialist you may want to take a look at data and see if you can help push the field forward!
Sleepwalking. Rather than point to one post over another we’re going to highlight this entire blog by one anonymous scientist who’s exploring his sleepwalking. The whole blog is chock full of insights into measurements, devices, and experiments to see what may or may not affect their sleepwalking. Start here to get a good overview.
How I Hacked Amazon’s $5 WiFi Button to track Baby Data by Ted Benson. Have $5 to spend on an Amazon Dash button? With a little bit of programming you can turn it into your own DIY internet-connected tracker!
10,000 Steps at a Music Festival by Tim Hanrahan. A fun post about tracking physical activity at the Lollapalooza festival.
Basis Data Analysis by Victor Jolissaint. I saw this Victor tweet this visualization and was immediately drawn in. Turns out he’s been exploring ways to analyze and understand his Basis watch data using R. Check out the link for his code and take a crack at analyzing your own data!
Tableau: Helping Me See and Understand Myselfb y Craig Bloodworth. Craig pulled all his self-tracking data into Tableau and designed his own personal dashboard to better understand what was going on with his activity, personal finances, and other lifestyle information.
We’re back again with another round of What We’re Reading. Before diving into the great articles and links below why not take some time to subscribe to our QS Radio podcast! We just released our fourth episode and would love to know what you think!
Want to tell us in person? Why not join us for our fourth QS Europe Conference this September in Amsterdam! Register now to take advantage of our early bird pricing.
Got Sleep Problems? Try Tracking Your Rest with Radar. by Rachel Metz. Researchers at Cornell University, the University of Washington and Michigan state are conducting research using off the shelf components to see if non-contact sleep tracking is possible. Turns out it is!
Apple’s Fitness Guru Opens Up About the Watch by Scott Rosenfield. A nice interview with Jay Blahnik here, where he speaks to Apple’s focus on self-tracking and fitness with the Apple Watch.
To share is human by Laura DeFrancesco. In this great news feature, Laura DeFrancesco exposes some of the issues with sharing personal data, as well as the initiatives hoping to break through those issues to help bring more data into the public sphere.
Using Twitter data to study the world’s health by Elaine Reddy. A great post here profiling John Brownstein and his work in Computational Epidemiology, specifically how he and his research team use public data sources like Twitter to tease out signals for health research.
Comparing Step Counts: Apple Watch, Fitbit Charge HR, And IOS Withings App by Victor Lee. An awesome and in-depth post comparing almost two months of steps counts from three different tracking methods by our friend Victor Lee. Glad to see he put our QS Access app to good use!
Follow-up to how I lost over 40 pounds using HealthKit and Apple Watch by Jim Dalrymple. Jim tells his story of how using a variety of apps and tools, all linked to his Apple Healthkit app, helped him learn about himself and eventually put him on the path to sustained weight loss.
Tracking Confidence by Buster Benson. Buster always has something interesting to say about self-tracking. This time is no different. Here he briefly talks about asking himself, “how confident do I feel right now?”
The Heart Chamber Orchestra – HCO – is an audiovisual performance. The orchestra consists of 12 classical musicians and the artist duo TERMINALBEACH. Using their heartbeats, the musicians control a computer composition and visualization environment. The musical score is generated in real time by the heartbeats of the musicians. They read and play this score from a computer screen placed in front of them.
This Week on QuantifiedSelf.com
QS Radio: Episode #4
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!
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!
How 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.
How 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!
Visualizing 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.
I 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?!
My 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.
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!
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.
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!
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
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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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?
Quantified 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.
Where 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.
Hippo 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
This Week on QuantifiedSelf.com