Big Data - Personal
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Your Life as Data: The Rise of Personal Annual Reports
Every time he drinks a cup of coffee, Dan Meyer makes a note on his phone. He does the same every time he opens a beer, turns on his TV or travels away from home. At the end of each month, he spends about three hours transferring these meticulously gathered notes into an excel spreadsheet. Meyer isn’t obsessive compulsive, he just likes data.We started Quantified Self as a casual meeting for users and makers of self-tracking tools. Now that our project has evolved into an active, international community, I’d like to offer a concise description of what it’s about. This will help if you are organizing a Quantified Self show&tell, giving a talk, or launching an independent project inspired by what we do. At the Quantified Self, we talk about our first hand experiences using self-tracking methods and tools.
Our Three Prime Questions | Quantified Self
If you can quantify the self, can you also program it? - O'Reilly Radar
The Quantified Self health movement , once thought limited to elite athletes or patients suffering from chronic disease, has been steadily expanding beyond body hackers and body builders. Recent research on how the Internet is shaping healthcare from the Pew Internet and Life Project contained an eye-opening fact: fully one quarter of online adults were tracking their own health statistics . There's clearly something important going on here. To learn more, I turned to Fred Trotter ( @fredtrotter ). Trotter and David Uhlman are writing a book on health information technology for O'Reilly, titled " Getting to Meaningful Use and Beyond ." Trotter has advanced the Quantified Self discussion one step further by asking, if you can quantify the self, can you also program it?
Mention "data science" to a lot of the high-profile people you might think practice it and you're likely to see rolling eyes and shaking heads. It has taken me a while, but I've learned to love the term, despite my doubts. The key reason is that the rest of the world understands roughly what I mean when I use it. After years of stumbling through long-winded explanations about what I do, I can now say "I'm a data scientist" and move on. It is still an incredibly hazy definition, but my former descriptions left people confused as well, so this approach is no worse and at least saves time. I just finished reading " The Philosophical Breakfast Club ," the story of four Victorian friends who created the modern structure of science, as well as inventing the word "scientist."
Why the term "data science" is flawed but useful - O'Reilly Radar
“ Connais toi toi même “. Pour les philosophes grecs la connaissance de soi-même est synonyme de sagesse. Elle permettrait en effet à l’individu de prendre conscience de ses propres limites, de se libérer de ses défauts, de développer ses qualités, et, en faisant abstraction de tout ce qui dans le « je » n’est pas personnel, de prendre conscience de sa véritable identité et, au fond, de sa liberté *.
Quantified Self : capturer, analyser et partager ses données personnelles pour mieux se connaître
Personal data is the future, but does anybody care? - O'Reilly Radar
Like most people, I tend to surround myself with like-minded folks. Most of my dinner party conversations turn into rousing debates on the future of web standards, or which company will unlock the true power of personal data on the web, or how can we mark our bits with emotional cues to make our web experiences more human. That sort of thing. But every now and then, I reconnect with old friends and even meet new people who don't find a conversation on data rousing at all.
At the upcoming QS Conference (May 28-9, San Jose), Robin Barooah and I will run a session about self-experimentation. Alexandra Carmichael has asked me to write a post about how to do self-experimentation as a kind of encouragement to come to the session. Robin and I will be giving examples of what we have done and what we learned from them. Here’s some of what I’ve learned.
How To Self-Experiment | Quantified Self
Personal development - also commonly called self-improvement - is a booming industry! And Internet-based personal development - also commonly called e-learning - is now becoming increasingly popular. According to market research and statistics, it is a 64 billion dollar industry worldwide. In the US alone, an estimated 9.6 billion dollars is invested in personal development in 2005 in the form of: People are now turning to gurus for help in various areas as above.
Personal Development Is A Multi-Billion-Dollar Industry
Here’s a bit of ancient history in the automated self-tracking world. A biography-generating device called Forget-Me-Not was really a lifelogging app before web development and ubiquitous cell phones came along. Watch the video below for a fascinating peek into the past of self-tracking.
Forget-Me-Not: Personal Sensing in 1994 | Quantified Self
Big Data - Personal - Ecosystem
Self-quantified - Examples
Patterns
Identifying patterns is crucial in experimentation because patterns can indicate useful correlations. After all, the whole point of experimenting on ourselves and collecting data is to find ways to make changes that help us to be happier, and patterns tell us where there are points of leverage. Patterns should make us curious, and we should pay attention to them. When analyzing our results both during and after a self-tracking effort, how do we find patterns?
Designing good experiments: Some mistakes and lessons
Like you I’m an avid self-experimenter, and I’m always on the lookout for things to change that will either a) improve me, or b) help me understand myself better so I can do a). I was comparing notes recently with Seth Roberts (his QS posts are here ) about what experiments we’ve done, what processes we’ve used to do them, and what lessons we’ve learned from them. I thought I’d share some of my take-aways with you and ask what you’ve learned from your own self-experimentation. Keep experiments specific and simple A mistake I’ve commonly made in the past made is trying to track too many things at once.That is, some of us do.
The Data-Driven Life
The dark side of self-tracking
Everything has a dark side (Photo by Pixelicus ) Can self-tracking hurt you? We mostly talk about the positive aspects of self-tracking here, but it’s worth venturing over to the dark side now and then.Hi! I’m a graduate student at Carnegie Mellon in Human-Computer Interaction, and I’m interested in learning about the barriers that you may encounter while collecting or reflecting on your personal information (e.g., too tedious to collect, information not useful, forgetting to collect). I’m also interested in learning how long-term users have overcome these barriers.
Chloe Fan’s Study on Barriers to Self-Tracking | Quantified Self
12 Myths about Self-Tracking | Quantified Self
(Let me get a little provocative this time around and share some myths of self-tracking I’ve been playing with. I’d love to hear your thoughts about these and any other myths you might know about.) Myth : You have to use technology. Fact : A good guideline is to use a tool that’s appropriate for the job. I know people who get good results using spreadsheets, and paper has some wonder affordances .Personal Big Data - Tools