Topic Archives: Conference
We’ve been working for many months to organize our next Quantified Self conference, and now we’re ready to open QS17 for registration. We’re going to Amsterdam, and we hope you’ll join us.
This will be the fourth time we’ve held the conference in Amsterdam at our favorite venue just outside the Amsterdam city center. Those of you who have already been to a QS conference here will understand why: This calm, beautiful, and extremely well located hotel, just a short walk from the canal ring, is a perfect place to work together and learn from each other.
QS17 is what we call a “Carefully Curated Unconference.” We’ll have over 100 individual sessions, all of which are proposed and lead by conference attendees. We work closely with all the participants in advance, based on what we know of your projects, work and interests. The final program lineup is released a few days before the event. So please let us know what you’re working on when you register.
Due to the size of the venue, attendance is strictly limited to 350 people. The first hundred people to register can sign up for €250 for the two day conference. So please don’t delay.
See you in June!
The emergence of self-tracking tools that came with the advent of the smartphone was a boon for people like Shannon Conners, who have long been recording their personal data with pen and paper. Her workout and food journals date back to her high school years.
Not content to let her data be incomplete, she has used novel sources for filling out her data sets, like going through her baby books for weight check-ins. Having a picture of her data that is comprehensive gives her a unique view. By adding annotations of major life events, she can see the vicissitudes of life reflected in her data.
Looking at her data side by side in JMP, her tool of choice, she sees how one affects the other. She determined that her cholesterol levels moved in the same direction as her weight, demonstrating to her that managing weight can be a good “surrogate variable” for keeping other biomarkers in check.
Her story may inspire you to increase your self-tracking diligence (it has for me). It has already inspired people around her. Her mother and sisters, after seeing her results with managing her weight, asked for Shannon’s coaching on how they can use self-tracking to help themselves. This is the value of sharing one’s methods: it can inspire others to change their ways of living and being.
The charts in this talk are fantastic, but they go by so quickly that I wanted to share them here so you can take them in. It should be no surprise that Shannon was featured in our QS Visualization Gallery and interviewed for the QS Radio podcast. You can keep up with Shannon on her blog, where she writes about her methods and what she’s learning.
**Update: The event is over, but you can watch the whole thing in the video below.**
Since 2014, Quantified Self Labs has put on a one day symposium in San Diego where we bring together toolmakers and public health researchers to support new discoveries about our health and the health of our communities that are grounded in accurate self-observation.
The stream starts at 9:00 AM and the schedule can be viewed here. I hope you’ll join us. Contribute to the conversation on Twitter with the hashtag #qsph16.
“The heartbeat is a treasure chest of information…”
Mark Leavitt has a unique perspective in that he is both an engineer and a physician. In his retirement, he is applying his wealth of knowledge to keeping himself healthy.
In this talk, Mark looks at how heart rate variability relates to his willpower. Does he lift more weight when his HRV is high? What happens to his eating habits when his HRV is low? And if the term “heart rate variability” is new to you, Mark gives a lucid explanation.
Also, you will get a glimpse of his amazing customized workstation with pedals to keep him active, a split keyboard on the armrests to keep his knees free and built-in copper strips for measuring HRV. Cue envy.
When someone comes into your life and takes up a special place in your heart, do they also occupy a similar place in your data? Shelly used GMvault to look through 5 years of Google Chat logs to “hunt for signals that I loved my husband and not somebody else.”
She looked at whom she messages, the time of a day, and the words she uses. She was able to extract meaning from innocuous metrics like “delay in response” to show whether her or her future husband were “playing games” at the beginning of the relationship. She also found that use of the word “love” did not correspond with the object of her affections (case in point: “This cytometer needs love too.”)
If you would like to do a similar analysis of your Google Chat log, contact Shelly to get the scripts she used.
“I started [tracking location] because I’m interested in all these invisible systems that we are immersed in.”
Stephen Cartwright has been tracking his latitude, longitude and elevation every hour since 1999. Even though the GPS in smartphones has made location tracking automatic, Stephen finds that he gets more reliable data from manually logging his location, of which he has almost 150,000 entries.
In this talk, Steven shows how seventeen years of location tracking has given him a wealth of data to explore in the form of three-dimensional data visualization sculptures. He has even brought some of these to QS conferences. They are amazing to behold in person.
While his visualizations show where he’s been, he says that it’s the negative space that can be more interesting, prompting the question, “Where do I need to go? What do I need to see?”
Other location tracking talks that we’ve featured include Jamie Aspinall‘s adventures in the UK, Robbie MacDonell on logging his transportation, and Alastair Tse on walking around Manhattan. We’ve also featured some great location-related visualizations from Bob Troia, Aaron Parecki, Eric Jain, and Tom McWright. If you have some location data from Moves, we’ve also written a guide on mapping it.
Paul LaFontaine is the organizer for the Denver QS meetup and has given many fabulous talks on heart rate variability. If you are not familiar with HRV, you can think of it as the measurement of your nervous system’s reaction to a perceived threat.
“Vapor lock” is Paul’s term for that feeling when you are trying to retrieve something from memory in a conversation, but because of the stress of the situation (especially if it is with a boss), you lock up as your recall fails. To better understand this phenomenon and learn how to prevent it, Paul measured his HRV during 154 conversations with bosses and co-workers.
Because “vapor lock” is not a standard measurement, Paul shows the criteria he used to identify these moments in his data. His analysis revealed a likely cause for what locks him up, but it was not what he expected and it changed his approach to meetings and conversations at work.
If you want to watch more talks about heart rate variability, Randy Sargent showed us what his HRV looks like through a spectogram. Matt Dobson talked about using it, along with other measurements, as a way to passively detect emotions. And I used a HRV device to track my stress at work.
“My luteal phase went from 10 days to 16, which is a frickin’ Quantified Self miracle.”
In this great talk, Ilyse Magy describes how tracking her menstrual cycle with the Fertility Awareness Method and Kindara worked for more than birth control. Tracking her cycle helped her understand how it affects her emotional state, and led her to find out that she had a previously unnoticed vitamin deficiency. ”Once I started charting, I was pretty amazed by what I was learning, but also kind of mad that no one had ever told me this stuff before.”
You can discuss this show&tell talk at the QS Forum.
Jon Cousins has given wonderful show&tell talks on mood tracking. Like most methods for measuring mood, his process involves a subjective assessment of his well being. But what if there was a physical measurement related to mood that doesn’t involve blood work?
Inspired by an anecdote about a man’s beard growth while working on a remote island, Jon explores whether there is a relationship between his mood and facial hair. Yes, you read that right.
Today the New York Times published a fantastic story by Peter Andrey Smith about the Nightscout and OpenAPS projects: A Do-It-Yourself Revolution in Diabetes Care. People with diabetes and parents of kids with diabetes are self-tracking by necessity, and we’ve learned a lot from their talks about their projects at QS meetings and conferences. Their impact is growing. Reading Smith’s story inspired me to repost a talk by Nightscout pioneer Lane Desborough, along with links to additional people and resources that didn’t make it into the Times story.
Nightscout, which Lane describes in this wonderful talk, allows people with people with diabetes and parents of kids with diabetes the see real time data from a blood glucose monitor on a mobile device. While similar efforts are underway among manufacturers, leadership is coming from patients and caregivers.
The quality and commitment here can inspire anybody who is thinking about how QS tools fit into new forms of knowledge and cooperation. The projects Lane discusses in this talk have continued to grow and evolve. Supported by a remarkable group of activists and a technically expert community made up mainly of people with diabetes and parents of kids with diabetes, contributors to these projects have created a suite of tools that can dramatically improve self-care.
For instance, a couple of weeks ago I saw this tweet from Howard Look, founder of Tidepool:
Did you know that people with diabetes have been building their own artificial pancreas systems? Read more about Nightscout, the Open Artificial Pancreas System, and related projects at these links: