Tag Archives: london
We’ve heard from our friend, and Pittsburgh QS meetup co-organizer, Anne Wright, many times before. She’s a wonderful proponent of the power of self-tracking and using data, research, and continuous exploration to discover and learn about what is meaningful in your life. All of that passion stems from a personal experience with overcoming various health issues. In this talk, presented at the London QS meetup group, Anne talks about how self-tracking played the key role in helping her recover. Anne then goes on to make the case for using self-tracking to learn how to forge your own unique path towards understanding in a world built around the idea of what is normal.
Jamie Aspinall was interested in what his location history could tell him. As a Google Location user, his smartphone is constantly pinging his GPS and sending that data back to his Google profile. Using Google Takeout Jamie was able to download the last four years of his location history, which represented about 600,000 data points. In this talk, presented at the London QS meetup group, Jamie describes his process of using a variety of visualizations and analysis techniques to learn about where he goes, what causes differences in his commute times, and other interesting patterns hidden in location data.
You can also view his presentation here.
The excellent organizers of the London Quantified Self Show&Tell recently fielded a detailed survey about the self-tracking practices in their group. In the video below Ulrich Atz presents their findings.
Some of the interesting results from the survey:
- 105 respondents (22 identified as female, 76 as male).
- Over 500 unique tools were being used.
- 47% of the respondents are currently measuring weight (17% have in the past).
- Pen & paper is being used by 28% of respondents.
- 90% of respondents who answered a question about data sharing would share their data (or share it for medical research).
The presentation is available online here (PDF) and an aggregate view of the survey results is also available for you to explore here. We’re excited to see and learn more from this interesting data set in the future.
Adi Andrei wanted to combine artificial intelligence, psychology, art, and storytelling for the purpose of self-discovery of the subconscious mind. In the video below, Adi explains why he’s focused on this, how to go about entering the subconscious, and what he’s learned about hacking it. (Filmed by the London QS Show&Tell meetup group.)
J. Paul Neeley has done experiments on optimizing happiness, self-control, and most recently, puns! His mom and brother are great punsters, so he decided to measure how many puns happened over Thanksgiving weekend with his family. In the video below, J. Paul explains this fun experiment, shares what he learned about the pattern of puns, and warns that punning can be contagious! (Filmed by the London QS Show&Tell meetup group.)
Neil Bachelor has been tracking his daily learning for the past two and a half years, with 3,200 discrete learning events. One of his motivations for this is to create a data-based CV that reflects his real work and learning habits. Neil uses Faviki to bookmark things he’s learned. In the video below, he describes his process, shows different visualizations of his learning, and explains the challenges he faces in managing so much data. (Filmed by the London QS Show&Tell meetup group.)
Jules Goldberg is a snorer, and estimates that he has spent 1/8th of his life snoring. The noise was bothering his wife, so he built an app called SnoreLab to quantify his snoring (mild, loud, or epic?) and help him reduce it. In the video below, Jules shares how he identified where his snoring was coming from, remedies he tried, and which ones made it better and worse. (Filmed by the London QS Show&Tell meetup group.)
Stuart Calimport is on a quest to find the most useful memes for health and well-being. He started the Human Memome Project, and spent a year and a half collecting all his ideas about health. He classified 5137 of these ideas as healthy/ethical/optimal and 6581 of them as unhealth/unethical/sub-optimal. In the video below, Stuart shares some examples of his memes, as well as his process for optimizing meme rate generation, and what he has learned about himself on this adventure. (Filmed by the London QS Show&Tell meetup group.)
Ryota Kanai does brain scans for a living. He can assess a person’s intelligence level, personality traits, and social proclivity from these scans. He even did a study correlating number of friends on Facebook with brain structure. In the video below, Ryota shows a 3-D scan of his brain, highlighted with colors to show where he has more or less brain than average. He also answers questions about changes in brain structure and how to get a brain scan on the cheap. (Filmed by the London QS Show&Tell meetup group.)
Matt Dobson is working on automatic affect recognition, which basically means quantifying emotions beyond self-reporting. In the video below, Matt walks through the current technologies available to passively detect emotions, helpfully explaining things like galvanic skin response, heart rate variability, and speech tone. He also gives some hints as to where the future of emotion tracking lies. Matt, if you’re reading this, we’d love to hear what you have personally learned from tracking your own emotions! (Filmed by the London QS Show&Tell meetup group.)