Last Wednesday, my friend Joe Wheeler and I threw Louisville’s inaugural Quantified Self Meetup, sponsored by HealthCentral and igNew. We had 50% participation from our fledgling group’s total membership, which was an awesome way to kick off the movement in the Derby City. There is definitely an interest for all things quantified and self in Louisville and I’m excited to be a part of it.
This first meeting was more of a round table discussion, as opposed to five minute presentations, and we were very fortunate to have Josh Rosenthal, co-founder of Sprigley and current VP of Product Innovation at Eliza, give us his insights on where data fits into and provides the most value for both the current and future healthcare system in America.
Joe talked about the Posterous he set up to track his food intake with friends in the Louisville area. I was actually an early participant in this experiment, who faded out. But Joe is still going strong. And I presented the aggregate data from Mood 24/7’s last 16 months, to give kind of an open kimono look at adoption and utilization for a tracking service.
We were scheduled for an hour meetup, but went well over and into the night, with a spirited discussion around entrepreneurial opportunities for quantified health data. I had also made a totally awesome presentation on feedback loops, summarizing this Wired Magazine article, (thus the Coors Light), but we weren’t able to get to it, so it will be ready to go for our next meetup.
What Is Quantified Self
Quantified Self Meetups are a regular show and tell for people who are tracking data about their body and conducting their own personal investigations and research into their bodies, minds, and selves. Anything is game — from diet and nutrition, exercise, to personal genetics, to ways to digitize and track information, to how to self-experiment with data and statistics.
More specific topics include:
* diet, nutrition, exercise
* using data and statistics to further self-experimentation
* behavior monitoring, tracking, and modification (including studying habit forming and breaking)
* lifelogging, lifecaching, and lifestreaming
* location tracking
* generating, capturing, and working with biometric data
* psychological self-assessments
* medical self-diagnostics and keeping track of one’s own medical data
* personal genetics and genome sequencing
A good source for more information and inspiration is the QS Blog ( http://www.quantifiedself.org)