The first quantified self meetup in Boston happened on March 3, 2010. It took place at sprout’s offices in Somerville.
We had about 25 people come, and excitingly, 8 speakers. This was quite a surprise to me — I started organizing the quantified self in Boston because while I am deeply interested in the QS approach as a way of getting empowered about health, I didn’t know anyone who did it. It was really a pleasant surprise to end up with a full roster of speakers for our first event! It was a fantastic way for me to get a very engaging introduction to the movement.
Our first meetup attempted to follow the guidelines posted on the QS blog: 5 or so minutes for the talk, and 5 or 7 minutes for q&a afterwards. We ended up having talks that went much longer — around 20 minutes on average — and as this pacing felt good — we’ll move towards this direction, with less talks, next meetup, and see how that goes.
On to a recap of the meetup …
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Talk #1 featured Mac Cowell of DIYBio presenting his and his friend Jason Bobe’s project, BioWeatherMap. The project is very new. It allows a participant to send away a dollar bill to get the genome sequence of the bacteria population present on the bill. The project aims to answer questions about the diversity and impact of microbial life around us, and to spark a new form of genetic awareness through a collaborative research approach.
The second talk was by Ben Rubin, CTO of Zeo — the well-known sleep tracking device. He gave an overview of how it works, and talked about his own observations with it — sharing how his sleep quality (as indicated by Zeo’s ZQ score) changed with altitude. This was neatly followed up by the third talk — given by Daniel Rinehart — about his experience using the Zeo for six months. He’d made his own visualizations of the different stages of sleep, and had been exploring the whys and hows he got different amounts of the various sleep stages on different nights.
The fourth talk was by Marko Anderson of Futureful — his project, still in an early stage, was to scour people’s information trails from social media, and attempt to predict things about their future … what things they would like, activities they would enjoy, and so on.
We took a break here for about 10 minutes, and then came back for our fifth talk, by Matthew Killingsworth, a PhD Student of Daniel Gilbert’s Lab who wrote the iPhone app “Track Your Happiness.” He contextualized the smartphone as the newest technology to conduct experience sampling — what had originally started with pen and paper and beeper systems. Interesting pieces from his talk include noting that wishing you were doing something else appeared to be a significant indicator of being unhappy, and that when people were imagining themselves to be doing something else, usually it was something they perceived worse than what they were actually doing. Unless they were having sex — in which case they were usually imagining something more positive…
Our sixth talk was given by Rana El Kaliouby of a local startup, Affectiva. This has come out of work at the MIT Media Lab, and used facial recognition software and a galvanic skin response arm band to measure emotion. The possibilities suggested here of measuring and tracking emotions, be it to enhance communication or to better understand one’s emotions, were really quite intriguing. Technologies like Affectiva’s seem to be in particular opening up new possibilities of what we can explore through measurement and tracking.
The next talk was given by Elliot Hedman of the MIT Media Lab (in Rosalind Picard’s Affective Computing group.) He also used galvanic skin response sensors to work with children in occupational therapy in order to help them get better in touch with their emotional response. He showed us a video of children in therapy wearing the sensor and a tim-graph of the child’s GSR response. In one striking video, a child’s GSR response visibly dropped once he was able to do seated work while seated on a giant exercise ball … making a compelling case for the child being much calmer once he was free to move around.
Our last talk was given by a graduate student at UMass Amherst, Jin-Young Kim on “Developing a Platform for Self-tracking.” His research comes out of his personal experience of doing comprehensive tracking in his own life across many variables — including subjective accounts of how his day and relationships could have gone better. His central interest was in seeing if a underlying framework could help trackers find the important patterns or investigations within their mass of data.
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That’s all for this time … the next Boston Quantified Self will be in the first week of June, likely at the Zeo headquarters in Newton … hope to see you there!

quantified self boston #2 recap
The Boston Quantified Self group got together last Tues., June 1st, at the offices of Zeo, inc. About 25 people came, with four presenters… it was a fun night!
David Rose first spoke about his product, Vitality. Vitality’s main product is GlowCaps — light-up, wirelessly communicating pill bottles that help patients with medication adherence. It uses the feedback methods of financial incentives, reporting to your doctor, letting a social network know, and coordinating pharmaceutical refills (all of these are options for the user to opt into.)
He shared a clip about Vitality from the Colbert Report (that David didn’t know was going to air when he first saw it…) and then talked about his current research: figuring out how to identify what motivations will work for which people. He presented a graphic of a four-quadrant model of motivations, breaking down rewards to internal vs. external motivations on one axis and contextualized vs. context-independent on the other.
He also has a survey he’s interested in the QS community taking as a further exploration of understanding one’s own personal motivational style: here’s a link if you’re interested.
Mike Sheeley talked about the widely-downloaded app, RunKeeper, which cleverly uses GPS to track users’ runs. They’re currently approaching 2.5 million users, and he discussed the problems of how to balance sharing information with users’ desire for privacy. (Interestingly, other users often want to know where nearby runners are, not to meet up and run together, but just to learn where the good local routes are.)
Adrian Gropper presented his company MedCommons‘ product, HealthURL. HealthURL is a universal health record for use by physician or patient, and its first use is as an online storehouse of radiology imaging. As someone who’s taken care to get make sure I get my X-rays from the hospital, on DVD, onto my computer, and to the next doctor, I appreciated the thinking behind this. Adrian’s motivating spirit is to make health utilities which put patients and physicians on the same playing field (he did expect the vast majority of his initial audience would be physicians.)
Eric Zwick rounded out our presentations. He currently studies behavioral economics at Harvard, and talked about a three-self model of reward and habit-forming: the current self who has a promise they want to keep, the self who has to act that promise out until the future goal, and the future self who gets to reap the benefits. (He used the example of saving a piece of pie for one’s girlfriend: the future self will reap the rewards if the intermittent one can put up with the temptation…)
Eric’s discussion prompted a discussion amongst the crowd about behavioral economics: the sentiment of there being a 1000 books and 1000 tricks out their about habit formation: which are really relevant? I reflected afterwards that the satisfaction of watching presenters who do tracking themselves — rather than tool-making — may be that their stories naturally reflect the things that help people experiment, track, and make and break habits.
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The next Boston Quantified Self meetup is slated for July 28th at the MIT Media Lab … see you there!