Topic Archives: Videos
“I don’t have a concrete goal. I don’t have a concrete aim to advance myself. It’s a way to explore different aspects of my life through data.”
Since 2009 Jacek Smolicki has experimented with using personal data as a mode for artistic exploration. In this talk, he presents some of his practices:
To learn more about Jacek’s practices, explore his website. Check out other examples of self-tracking as artistic expression with talks from Laurie Frick and Alberto Frigo, and pieces from the art exhibition at the 2015 QS Conference in San Francisco.
“When I see someone driving towards me with their face buried in their phone, I get gloriously indignant about it.”
Robby Macdonell has given great talks on transportation logging and time-tracking. Here, he combined those two data streams, using Automatic and RescueTime, to prove that he does not use his phone while driving nearly as often as other drivers.
Only the data didn’t agree.
Watch how Robby confronts the realization that he is more distracted than he thought and the changes he made because of it.
Let’s start 2016 with a very interesting talk by Randy Sargent about how to visualize the very large data sets produced by some kinds of self-tracking. Randy’s idea about using spectrograms, normally used for audio signals, to create a portrait of your own time series data, is completely novel as far as I know. If you have tried something similar, please get in touch.
In this fascinating short talk by geneticist Jim McCarter, we see detailed data about the effects of a ketogenic diet: lower blood pressure, better cholesterol numbers,and vastly improved daily well being. Jim also describes the mid-course adjustments he made to reduce side effects such as including muscle cramps and increased sensitivity to cold.
Jim begins: “When I tell my friends I’ve given up sugar and starch and get 80% of my calories from fat, the first question I get is: Why?”
The rest of the talk is his very clear answer.
I talked with Vinod Khosla over the summer about machine learning and the Quantified Self.
Khosla was a founder of Sun Microsystems and is one of Silicon Valley’s most experienced investors in Quantified Self companies. His portfolio includes AliveCor, Ginger.io, Jawbone, Misfit, Narrative, and many other toolmakers that people doing QS projects will recognize. In our conversation, I ask Vinod about the role machine learning can realistically play in QS practices.
Below are links to three papers Vinod mentions in the interview:
Beck, Andrew H., Ankur R. Sangoi, Samuel Leung, Robert J. Marinelli, Torsten O. Nielsen, Marc J. van de Vijver, Robert B. West, Matt van de Rijn, and Daphne Koller. “Systematic analysis of breast cancer morphology uncovers stromal features associated with survival.” Science translational medicine 3, no. 108 (2011): 108ra113-108ra113.
Ioannidis, John PA. Why Most Published Research Findings Are False. PLoS Med 2, no. 8 (2005)
For people who take insulin, self-measurement is a matter of life and death. No wonder, then, that people with diabetes who track their blood glucose have been so important in advancing techniques of visualization,and understanding data. At the Quantified Self Europe conference in Amsterdam this year, we were honored to host a panel discussion on Data Visualization and Meaning with Joel Goldsmith (Abbott Diabetes Care), Jana Beck (Tidepool), Doug Kanter (Databetes), and Stefanie Rondags (diabetes coach and blogger).
This discussion strikes me as widely important for self-trackers whether or not we have diabetes. Many of us will be tracking blood glucose in the near future. And the issues of data access, understanding, and clinical relevance that people with diabetes are working on resemble challenges commonly faced by anybody who is tracking for health.
For instance, Jana Beck was asked during the Q&A about her health care providers. How receptive are they to the important experiments she’s done to improve her health based on the data she’s collected? ”None of my endocrinologists have been very receptive to this approach,” she answered. “My A1C tends to fall within the range of what’s considered the gold range for people with Type 1. But I’m interested in optimizing that further. Often, I don’t even see them more than twice a year.”
Jana, Stefanie, and Doug all showed their own data in the context of discussing experiments and decisions that have had a major impact on their wellbeing. All were clear that the domain of these experiments and decisions is not healthcare as traditionally understood; but nor is it a matter of general fitness or lifestyle. The domain of these experiments is different and perhaps still unnamed. Self-collected data can and should essential health decisions, but the most advanced techniques of understanding this data are still being developed in an ad-hoc, grassroots way, by knowledgeable and open minded individuals who have a strong interest in learning for themselves.
At the end of the session I asked Joel Goldsmith, of Abbott Diabetes care, about the future prospects of the Freestyle Libre, a minimally invasive wearable blood glucose monitor that is not yet available in the US. (Disclosure: Abbott Diabetes Care was one of the sponsors of the QS Europe Conference.) The Freestyle Libre has a sensor in the form of a patch worn on the arm, and a touchscreen reader device that you lift close to the sensor to get a reading. There is no finger prick involved. While this and competing minimally invasive or non-invasive glucose monitors will almost certainly continue to be regulated as medical devices and understood as part of the health care system, many other people will also use them, and the flood of data and the questions that go with it will challenge our understanding of where this type of information should live.
The video above contains the full session, including the Q&A.
Maggie Delano hit her head while helping a friend move. She was diagnosed with a concussion and, later, post-concussion syndrome. In order for her to heal, she had to give her brain a break from cognitively stimulating activities. In this show&tell talk, presented at the 2015 Quantified Self Conference, Maggie discusses how she tracked her progress toward recovery with Habit RPG (recently renamed Habitica) and improved her sleep with Sleepio.
To see great presentations like Maggie’s in person and get the chance to talk with the speakers, come to our Quantified Self Europe Conference on September 18 & 19. Our early-bird tickets (€149) expire in less than 24 hours, so get yours now!
I have had the esteemed pleasure for the last couple of years of helping speakers at Quantified Self conferences put together their talks. It’s a lot of work for me, but more so for the speakers. At the QS15 Conference last month in San Francisco, I took the opportunity to not only express my appreciation for our speakers’ effort, but to also speak to why the act of sharing your own personal data experience is so important and has historical precedent.
Below is a video of the speech along with the prepared remarks:
My role at the conference is to help our speakers put together their show&tell talks. For every speaker, we have a forty-five minute discussion to go over their talk.
It’s a role I relish because I get to see the process that people go through to turn their personal experience into the form of 30 slides in 7 and a half minutes.
Unless you’ve given a show&tell talk, it’s hard to know the effort and difficulty inherent in presenting one’s story. There’s the doubt and questioning of why anyone would be interested in my personal experience. How do you decide what is the right amount of context to give people? How do you sequence the information so it is intelligible?
But if I may, I want to spend a moment to talk about this practice of self-examination, and why I think it is so special.
Something that came to mind while mulling this over is something Sarah Bakewell wrote in a book about Michel de Montaigne, the 16th century french philosopher.
“Montaigne and Shakespeare have each been held up as the first truly modern writers, capturing that distinctive modern sense of being unsure where you belong, who you are, and what you are expected to do.”
If you don’t know, Montaigne was famous for a series of philosophical essays written in the 1500’s.
What was special about his essays was how honest and self-reflective he was, if meandering and digressive. But this style was novel at the time. Montaigne’s philosophical inquiries were not expansive and universal. They were small. They were constrained to just himself.
What’s funny is that this sharing of one person’s self-examination was wildly popular. For next few centuries every generation saw itself in Montaigne. Picking out different aspects of him that resonate.
By limiting the scope of conveying an experience, the power to resonate with people is much stronger and wider than it would be if you strove to be universal.
What makes Show&Tells special is that they are personal. They are small, honest, and vulnerable. They are from individuals who are humbly trying to figure out who they are and what they should be doing.
I think we are all blessed by their graciousness and generosity in sharing their experiences, so that we can see ourselves in them and figure out how to navigate our own place in a huge, immensely interesting but very confounding world.
After going through a life crisis during his teenage years, Damien Catani turned to tracking his dreams to help “rebuild his sense of self.” Eighteen years and seven thousand dreams later Damien shared his tracking process and what he’s been learning at the QS15 Conference and Expo. In his data he found patterns for the number of dreams he experienced and remembered according to the day of the week, season of the year, and the affect of different lifestyle factors.
At every conference, a synchronicity will occur where a few talks cover a similar, but previously unexplored topic. At QS15, we were surprised to see an increased discussion of concussions. It’s hard to know whether this is due to random chance or a glimmer of the zeitgeist, but we like to take note of these little waves of how people are finding new ways to understand themselves, or in this case, overcome strife.
Though Steven Zhang had a history of sleepiness and headaches, he never tracked them prior to his concussion. But during his recovery from post-concussion syndrome (which worsened his sleepiness and headaches), he wanted a clear record of his progress. He tracked headaches using the Tap Log android app and tracked his sleep using Sleep As Android, manually logging in and out in the app as he prepared for or woke from sleep. That he naps often and has many unsuccessful attempts to sleep meant that automatic methods for tracking sleep, like wrist-worn activity trackers, were ineffective, an important lesson considering that good sleep data is still sought after by many in the QS community.
Visualizing his data in Tableau, he gained a sense of norms for his headache frequency and nap lengths, allowing him to test the effectiveness of a dietary intervention, the fascinating result of which you can watch in the video of his talk below:
Steven presented this talk last month at the QS Global Conference in San Francisco. To see more great talks like this, you should join us at our Europe Conference on September 18 and 19th in Amsterdam. We have a limited number of early bird tickets available, so make sure that you don’t miss out by registering!