Get inspiration and ideas from hundreds of self-tracking projects documented in our community archive, searchable by tools and topics.
Its great to see all of the quantified self videos, presentations and show and tells in one place. Its quite an archive of media and worth browsing through. I had the joy of seeing some of these live at the Quantified Self conference’s.
Here’s some of my favourite ones.
Mark Wislon notices that his inbox correlates directly with his stress level. After passively tracking this for three years, he decides to actively shift how he sees his inbox account and learns how he’s controlled (and been controlled by) this stream of angst. He also discovers a very important life lesson: he’s addicted to email.
Fabio Ricardo dos Santos is gregarious and likes to be around people. A lot of people. But he had a nagging sense that something was out of balance. To better understand why, he began to track his relationships and interactions. He soon found that out of the people that he knows, only about 14% are what he considered to be important relationships and that they made up 34% of his interactions. He felt that this number was too low and it spurred him to spend more time with that important 14%. But he didn’t just track his time with people and the number of interactions. He expanded his system to include the quality of his relationships and interactions. He found that this made him focus on face-to-face interactions and video chats over emails and texts.
Dana Greenfield’s mom was a surgeon, professor, researcher, entrepreneur, blogger, tennis player, and a mentor to many medical students. Unexpectedly, she passed away in February, 2014. To help her process her mother’s death, Dana began tracking every time she thought of her mother by writing down what triggered the memory, the mood it inspired, etc. Watch Dana’s talk as she shares her experiences of using self-tracking to better understand her own grief and the role her mother continues to play in her life.
Dawn Nafus, an anthropologist, reflects on some observations of what self-trackers actually do when they make sense of data. Dawn’s observations led her to ask: what tools might support more diverse ways of working with data? This short talk describes what she’s learned while engaging and building tools for the QS community.
Sebastien Le Tuan is a recovering “late-oholic.” He is typically always late to friends and family events. One day he had a conversation with his dad that made him realize what effects his tardiness has on his personal and professional life. In this talk, Sebastien describes how he started tracking his punctuality and what he has learned from the process.
Laurie Frick is a visual artist that make work, objects, and installations that relate to brain rhythm. In the video, she presents her amazing work on daily activity charts and sleep charts translated to art. She measured her nightly sleep for over 3 years using a ZEO eeg headband and has almost 1000 nights of sleep data.
Shelly Jang used GMvault to look through 5 years of Google Chat logs to hunt for signals that she loves only her husband. She looked at whom she messages, the time of a day, and the words she uses. She was able to extract meanings from innocuous metrics like “delay in response” to show whether her or her future husband were “playing games” at the beginning of the relationship. In the talk, she shares what she learned from her project.
When Kitty stumbled upon her grandmother’s diaries and started to explore the daily entries, she was struck by similarities with her own life and habits. Kitty is a modern-day lifelogger. She tracks places, events, mood – a variety of different personal data streams. Reading the diaries, Kitty saw that her grandmother used her daily entries as logs – tracking the details of where she went, what she ate, even the boys she kissed. In this talk, Kitty shares what she discovered, and the lessons she learned.
Rob Shields has been wearing a camera phone around his neck that takes photos every minute. He has been doing this since August of last year. In this video, one year later, he talks about what has changed, what’s new, the things that have been working, and some of the stuff that haven’t been working. He also shares some data from his experiment.
Valarie moved to San Francisco when she was 29 and she was not prepared for the city life. She was really freaked out by the trash on the streets, by the way the taxi drivers drove, and how expensive everything was. But the thing that freaked her out the most was street harassment. Street harassment is any action or comment between strangers in public places that is disrespectful, unwelcome, threatening, or harassing and is motivated by gender or sexual orientation. She was surprised with how many times she was harassed while walking around. To better understand what was going on she started tracking these instance.
Mark Krynsky started a blog about six years ago. On his blog, he wrote about live streaming and impetus and how he was trying to aggregate social data into a single timeline. The blog evolved over time, and it wasn’t just about social data–it was also about life blogging. Since then, he learned about Quantified Self and started thinking about the future of his data, what’s going to happen after he dies? In this talk, Mark discusses digital preservation and how he created an action plan for his digital data after his death.
Quantified Self organizer and cognitive science researcher, Daniel Gartenberg, is interested in sleep and his passion is this idea of not just tracking sleep but actually being able to improve sleep. He also makes sleep apps. He started tracking his sleep after his business partner contacted him on a recent scientific finding, where basically one could enhance deep sleep auditory stimulation that replicates the frequency of one’s own brainwaves when in deep sleep. In this talk, he shares his tips on tracking and improving his sleep.
After years of collecting Quantified Self data, Aaron Parecki began moving more of his data onto his personal website rather than letting it sit in someone else’s cloud. This insures that his data will stick around even after apps and devices go away.
