I’m at the Quantified Self conference in Amsterdam, Day 2 of 2 completed. I covered Day 1 previously.
This conference is always so packed with inspiring and thought-provoking talks, breakouts, workshops, office hours, and discussions! It’s difficult to keep track, summarize, or highlight. But I’ll do what I can!
I feel like the following highlights how informal, accepting, and up-to-the-minute-data-focused this particular conference is. A speaker was called to the podium and came up very slowly, tapping on his laptop. The organizer asked:
“Are you still working on your slides as you’re walking up from the back?”
And another quote to highlight that you don’t have to be technical to be an avid self-quantifier:
“What I lack in technical skills I more than make up for with my ability to outsource.”
Note: A number of talks and office hours were devoted to helping people analyze and visualize without coding skills, such that outsourcing is also not necessary for those with a little time on their hands.
Day 2 had some theme overlap with Day 1, and also produced some new themes. My lists will of course be different from others’ because every conversation is unique. The conference was organized with 30 minute breaks between sessions, so there were many fascinating and lengthy conversations—without keeping anyone from attending a session.
- “emergent experiments”: the idea that many in the Quantified Self community define their personal “experiments” in retrospect, making them more of a precursor to or inspiration for experiments with more scientific rigor
- high frequency blood measurements: glucose, ketones, and more
- monetizing QS data, either from the perspective of a company that has access to it or from the perspective of an individual
- guilt and judgment of behaviors exhibited by self-trackers; how to set a goal for modifying it if it really is a problem
- custom personal dashboards
- data ownership—big theme this year!
A more comprehensive summary of topics I attended or which were discussed in my vicinity today:
- optimizing athletic training using genetics
- obtaining accurate maximum heart rate value without a lab
- AMH as a fertility measure, and the interesting result that AMH can be increased after it falls
- creating a negative split app for running
- tracking phone use to reduce overuse
- diabetes type 1 tracking and management
- creating personal dashboards
- tracking personal growth
- fasting and ketones
- automation and screen scraping for creating personal dashboards; UI to emphasize GTD
- EMG tracking for 6 months; correcting weightlifting form based on muscle activation data
- balancing neurotransmitters for Parkinson’s
- sleep tracking and resting heart rate; wearable sensors can predict sickness
- producing life data magazines
- overthinking your entire personal inventory
- recess activity analysis—data to prove to the school that canceling recess is detrimental
- menstrual and hormonal tracking
- tracking cyclical data
- body temperature and ovulatory cycles
- felt routines
- turning sleep insights into sculptures
- turning sleep insights into galaxy-inspired art
…and so many other things! I got more swept away with conversations today and didn’t make as many notes.