Tag Archives: email
DNA Got a Kid Kicked Out of School—And It’ll Happen Again by Sarah Zhang. This a potent example of the unexpected ways that genetic information can be used against someone. We’ve already seen how 23andMe data can be used for nefarious ends. In this case, it’s a child who was transferred from his school as if he has cystic fibrosis, but only has the genetic markers for the disease. A set of norms or rights around personal data (and genetic information, in particular) has barely been established, so it will be interesting to see how many similar incidents we will see. What’s tricky is that neither side is acting irrationally. At heart is this question: How do you manage risk when a person’s DNA is part of the equation? -Steven
When Wearable Makers Shut Down, Getting Your Data Isn’t Always Easy by Stephanie M. Lee. San Francisco QS Show&Tell co-organizer Greg Schwartz is quoted in this Buzzfeed story about the recent shutdown of BodyMedia servers and bricking of the devices. In January Greg posted a how-to video users who still wanted to get their data, but this only worked until the servers were taken offline on January 31, 2016 Article author Stephanie M. Lee talked a bit about the defunct QS companies Lark, and Zeo. The Zeo shutdown sparked a record thread on the QS Forum where users still trade tips to keep instances of this late, lamented sleep tracker in action. -Gary
Working memory training could help beat anxiety by Christian Jarrett. Dual n-back tests have been championed as a brain game that actually works since a 2008 study showed that the exercise improved fluid intelligence (i.e., IQ). Those results have since been in dispute, but a new study cautiously supports the idea that dual n-back, by improving working memory, may also lessen anxiety symptoms. -Steven
Graphing When Your Facebook Friends Are Awake by Alex. There are at least five reasons to love this post about building graphs of Facebook Friends’ awake/asleep time: a surprising revelation of hidden system, uh, features; a “procedural” on hacking them that is basically comprehensible even if – like me – you don’t understand all the details; a useful general lesson about public exposure of personal data from seemingly friendly and low level status tracking; a hilarious stream-of-consciousness narrative that tries, half-successfully, to answer the question “why;” and, for all of us who have ever tried to do something meaningful with our own data, the comforting admission that the real trouble started when it came time to make a graph. Really a great post that this preview doesn’t do justice, so go read it. -Gary
This Canadian Lab Spent 20 Years Ruining Lives by Tess Owen. As much as it’s claimed that there’s a fair amount of skepticism of science, especially in the United States, there is no doubt that it carries authority in legal matters. This article shows the damage that can happen when seemingly rigorous test procedures and results are accepted without scrutiny. It’s especially galling to see how sloppy commercial testing procedures can become, and how dangerous it is to assume that professional measurement is more reliable than personal measurement, human dialog, and common sense. -Steven
Give Up Your Data to Cure Disease by David B. Agus. Another article on the opportunities and pitfalls of making medical records available for health research. While this opinion piece argues for the value of the opportunities, it makes clear that we need better data security practices to ensure that health information is used for the greater good, rather than used against individual patients. However, nowhere is the point made that research subjects can play an active role in investigating disease and making new discoveries. -Steven
Three Years of Logging my Inbox by Mark Wilson. The number of emails in Mark’s inbox correlates very well with his stress level. After passively tracking his email for three years, Mark explores how his inbox count reflects his stress level and influences his sense of self. -Steven
Measuring My Indoor Environment: Indoor Quality and Water Quality by Bob Troia. The first two parts in a multi-part series, Bob shows the tools and measurements he’s using to understand the quality of his living space. -Steven
Maniac Weeks for Extreme Productivity by Bethany Soule. A “maniac week” (coined by Nick Winter) is spent doing nothing but working and sleeping while documenting your face and screen with a time-lapse video. Bethany talks about her successes, failures, and side effects of this level of extremism. -Steven
This Chart Shows Who Marries CEOs, Doctors, Chefs and Janitors by Adam Pearce and Dorothy Gambrell. With data from the U.S. Census Bureau, this interactive chart allows you to select a profession and see the five most likeliest occupations of the partner. It will also show whether if the partner is more likely a member of one sex or the other. Refreshing to see that it represents same-sex partnerships as well. -Steven
How China’s economic slowdown could weigh on the rest of the world by Carlo Zapponi, Seán Clarke, Helena Bengtsson, Troy Griggs and Phillip Inman. The interconnectedness of global economies can be difficult to wrap your head around, but this series of visualizations from the Guardian do a good job of illustrating which economies’ rely on exports to China, and how much they are exposed to a downturn in the world’s second biggest economy. -Steven
Música hecha con el corazon. A website where you tap your current heart rate and it finds a song that matches the beat. The site is in Spanish but is easy enough to figure out. Just put one finger on the artery in your neck and click in the circle in time with your pulse. -Steven
The Chart Book: An Overview of Standard Celeration Chart Conventions and Practices. Owen R. White, Malcolm D. Neely. This pdf covers how to use a Celeration chart. Used for the assessment of students by teachers, this chart template aspires to be flexible enough to chart data clearly no matter the scale. It would be interesting to see this used for personal data. Thanks to Ryan O’Donnell. -Steven
“My inbox has become a barometer of my stress level.”
Email overwhelm is something that most people of first world means can relate to. Getting a handle on this digital deluge is a Sisyphean endeavor that is, perhaps, only endured by deluding ourselves into thinking that it is possible if only we found the right tool or adopted the right habit.
In this talk, Mark Wilson (who we’ve featured before) tells us what he learned from tracking the number and age of emails in his inbox and how that made him confront the impact that his message count has on his self-esteem.
The validity of consumer-level, activity monitors in healthy adults worn in free- living conditions: a cross-sectional study by Ty Ferguson, Alex Rowland, Tim Olds, and Carol Maher. A very interesting research study examining the accuracy of different consumer activity trackers when compared to “research-grade devices.” Free living only lasted a few days, but it’s a great start to what I hope to see more of in the research – actual use out in the wild.
The Healing Power of Your Own Medical Records by Steve Lohr. Steven Keating has a brain tumor. He also has over 70GB of his medical data, much of which is open and available for anyone to peruse. Is he showing us our future? One can hope.
Mr. Keating has no doubts. “Data can heal,” he said. “There is a huge healing power to patients understanding and seeing the effects of treatments and medications.”
Why the DIY part of OpenAPS is important by Dana Lewis. Always great to read Dana’s thoughts on the ever evolving ecosystem of data and data-systems for people living with diabetes.
Why I Don’t Worry About a Super AI by Kevin Kelly. I, for one, am super excited for advancements in artificial intelligence. There are some that aren’t that excited. In this short post our QS co-founder, Kevin Kelly, lays out four reasons why he, and maybe why all of us, shouldn’t be fearful of AI now or into the future.
Responding to Mark Cuban: More is not always better by Aaron Carroll. Earlier this week Mark Cuban started a bit of an kerfuffle by tweeting out, “1) If you can afford to have your blood tested for everything available, do it quarterly so you have a baseline of your own personal health.” What followed, and is still ongoing, is a great discussion about the usefulness of longitudinal medical testing. I’m not sure I agree with the argument made here in this piece, but interesting nonetheless.
My Quantified Email Self Experiment: A failure by Paul Ford. Paul takes a look at his over 450,000 email messages dating back 18 years. He find out a lot, but states that he doesn’t learn anything. I disagree, but then again, I’m not Paul. Still fascinating regardless of the outcome.
Filling up your productivity graph by Belle Beth Cooper. Want to understand your productivity, but not sure where to start? This is a great post by Belle about how she uses Exist and RescueTime to track and understand her productive time.
2014: An Interactive Year In New Music by Eric Boam. We’ve featured some of Eric’s visualization work here before, but this one just blew me away. So interesting to see visualization of personal data, in this case music listening information, turned into something touchable and engaging.
“Women and Children First” by Alice Corona. A fascinating deep data dive into the Titanic disaster. Was the common refrain, “Women and children first!” followed? Read on to find out.
HHS Expands Its Approach to Making Research Results Freely Available For the Public
European Food Safety Authority (EFSA) Grants Public Access to Data through Scientific “Data Warehouse”
FDA ‘Taking a Very Light Touch’ on Regulating the Apple Watch
Selling your right of privacy at $5 a pop
From the Forum
We have a great list for you today. Special thanks to all those who are reaching out via Twitter to send us articles, links, and other bits of interestingness. Keep ‘em coming!
Self-Experimentation: Crossing the Borders Between Science, Art, and Philosophy, 1840–1920 by Katrin Solhdju. This brief essay lays out a great foundation for anyone interesting in the history and philosophy of science, with an obvious focus on the self-experiment. This essay is hosted at the Max Plank Institute for the History of Science, at which I highly recommend spending some time clicking around and reading the wonderful essays and articles.
After the Data Confessional: interview with Ellie Harrison by Stephen Fortune. A very interesting and thought-provoking interview with artist Ellie Harrison. For six years self-tracking data was the core component of Ellie’s work as an artist. Then she decided to stop and reconsider her tracking practices and what it meant to her and her work.
Data is the New “___” by Sara M. Watson. “What do we talk about when we talk about data?” is the question Sara posses here to frame a wonderful piece on how our use of metaphors influences our view of data.
A brief history of big data everyone should read by Bernard Marr. If we’re going to talk about how we talk about data it is probably useful to have some historical context. Great timeline here of data in society.
Baby Lucent: Pitfalls of Applying Quantified Self to Baby Products [PDF] by Kevin Gaunt, Júlia Nacsa, and Marcel Penz. An interesting article here from three Swedish design students that looks at current baby and parenting tracking technology. They also conducted a design process to develop a future tracking concept to better understand parent’s reactions to baby tracking. I thought there were a few interesting finding from their interviews.
Hey, Nate: There Is No ‘Rich Data’ In Women’s Sports by Allison McCann. It only seems fitting that a few days before this weekend’s MIT Sloan Conference on Sports Analytics Conference, the “it” place to learn about and discuss sports data, that we learn about the amazing dearth of data collected and published about women’s sports.
Analyzing Email Data by Austin G. Waters. A great deep dive into the 23,965 emails that Austin has collected in his personal account since 2009. I won’t spoil it, but this post just keeps getting better and better as you scroll. Bonus points to Austin for describing his methods and open-sourcing the code he used to conduct this analysis.
The App That Tricked My Family Into Exercising by Adam Weitz. Not a lot of data in this post, but I enjoyed the personal and social changes Adam described through his use the Human activity tracking app.
Smart Art by Natasha Dzurny. Using IFTTT and a few littleBits modules Natasha created a piece of artwork that reflects how often she goes to the gym. Would love to seem more DIY data reflections like this!
How does weather affect U.S. sleep patterns? by Sleep Cycle. Sleep Cycle analyzed 142,272 sleep reports from their users (recorded in January of 2015) to explore mood upon awakening, stress levels before bed, and sleep quality. Fascinating stuff.
HHS Expands Its Approach to Making Research Results Freely Available For the Public
Many Patients Would Like To Hide Some Of Their Medical Histories From Their Doctors
Doctors say data fees are blocking health reform
From the Forum
Best ECG/EKG Tool for Exercise
BodyMedia API – Anyone have an active key/application?
Sleep monitor recommendations for research on sleep in hospitals
Simplified nutrition, alertness, mood tracking
Productivity tracking is nothing new. People have been keeping checklists and marking off to do’s for ages. But what about all the little stuff that gets thrown in during the day? For the last six years Robby Macdonnell has been tracking his productivity and how he spends his time on his various computers (home and work) and even how he uses phone. Over those years he’s amassed 8,300 hours of screen time. Watch his great talk to hear what’s he learned about his work habits, productivity and how he’s come to think about time.
We’ll be posting videos from our 2013 Global Conference during the next few months. If you’d like see talks like this in person we invite you to join us in Amsterdam for our 2014 Quantified Self Europe Conference on May 10 and 11th.
Bryan Bishop tracks every social interaction he has with anyone, in person, on the phone, and online – and he’s been doing this since 2005. He discovered that he talks 60% of the time, and mostly interacts with people online. Also, the more people he talks to, the more lines of code he writes! Bryan has thousands of friends, and he wanted an easier way to update all of them about his life, so he developed a way to automatically compile emails to all of his contacts based on their tags of interest. Check out his excellent, data-driven talk below. (Filmed at the Bay Area QS Show&Tell Meetup #19 at Singularity University.)