Topic Archives: Conference
We want to share some news about the upcoming QS15 Global Conference and Exposition. We are moving the date due to the growth of the conference and the opportunity to add some fantastic public programming to our beautiful Ft. Mason exposition space, in collaboration with our production partner e2k events and collaborating architect David Benjamin/The Living.
The new conference date will be June 18-20, 2014. We hope you can join us in San Francisco at Fort Mason for what is shaping up to be our biggest and best event yet.
Tickets are still on sale and we’ve extended our early bird registration price. Register today and join us for an amazing three days.
Join us at our upcoming QS15 Global Conference and Exposition on June 18-20 in San Francisco to learn how to use self-tracking tools to aid in recovery and get back into a productive lifestyle without overdoing it.
Maggie Delano was diagosed with Post Concussion Syndrome (PCS) after hitting her head over Labor Day Weekend. To recover, she had to give her brain a break from anything too cognitively stimulating, such as using screens, reading, intense physical exercise, and loud music. Maggie was able to return to work after several weeks off. She has developed strategies that balance getting work done with giving her brain a rest and preventing burnout. She’s been using apps such as Awareness to keep her mindful of how much time she’s spending on her computer, HabitRPG to slowly build back up her prior habits and self-tracking, and Beddit to help figure out what allows her to sleep best.
Maggie’s session is just one of the many hands-on, up-to-date, expertly moderated sessions we’re planning for the QS15 Global Conference and Exposition. This year, QS15 is going to be two full days of self-tracking talks, demos, and in depth discussion, followed by a third day for a grand public exposition of the latest self-tracking tools. Join us at the Fort Mason Center on the San Francisco Waterfront. We’ve made some early bird tickets available for readers of the Quantified Self blog (for a limited time): Register here!
Join us at our upcoming QS15 Global Conference and Exposition on June 18-20 in San Francisco to learn how heart rate variability can indicate how relaxed or stressed you feel when meeting with other people.
We’re pleased to have a self described heart rate variability hacker and veteran QS’er Paul LaFontaine share how he uses heart rate variability readings to improve his effectiveness when engaging in discussion with others. Paul used off the shelf technology including a Polar Heart Rate Belt and a Heart Rate Variability Logger app to record his heart rhythms during different stressful and relaxing activities. Once he had these baseline readings, he compared them to hundreds of hours of meetings to find patterns in the data and to pinpoint what was associated with relaxed, productive discussions or stressful, less productive interactions. Some of the source of stress may surprise you!
Paul’s Heart Rate Variability session is just one of the many hands-on, up-to-date, expertly moderated sessions we’re planning for the QS15 Global Conference and Exposition. This year, QS15 is going to be two full days of self-tracking talks, demos, and in depth discussion, followed by a third day for a grand public exposition of the latest self-tracking tools. Join us at the Fort Mason Center on the San Francisco Waterfront. We’ve made some early bird tickets available for readers of the Quantified Self blog (for a limited time): Register here!
It’s commonly believed that we sleep away approximately a third of our lives. Is it good sleep? Does it help us refresh and regenerate? What can we do to make our time spent in bed even better?
Join us at our upcoming QS15 Global Conference and Exposition on June 18-20 in San Francisco to learn first-hand about how to track your sleep and benefit from your sleep data.
We’re excited to have our QS Washington DC meetup organizer, PhD student, and avid self-tracker, Daniel Gartenberg, sharing his deep knowledge of tracking sleep. Daniel has used multiple devices to find out what works and what helps him achieve a better night’s sleep, including the Sleep Smart Alarm Clock, Galaxy Gear watch, the Actiwatch (a research validated devices), and the Hexoskin shirt. We may even get a peek at the sleep tracking capacities of the Apple Watch.
Daniel’s Sleep Tracking session is just one of the many hands-on, up-to-date, expertly moderated sessions we’re planning for the QS15 Global Conference and Exposition. This year, QS15 is going to be two full days of self-tracking talks, demos, and in depth discussion, followed by a third day for a grand public exposition of the latest self-tracking tools. Join us at the Fort Mason Center on the San Francisco Waterfront. We’ve made some early bird tickets available for readers of the Quantified Self blog (for a limited time): Register here!
Sue Lueder had a mystery stomach ailment that started after a vacation to Spain in 2011. When she returned from her trip she was beset by consistent and frequent burping attacks. After visiting her physician and receiving a diagnosis for heart burn, which she didn’t trust. she began to track her attacks and her diet. In this talk, presented at our 2013 Global Conference, Sue how she tracked he symptoms and used the data to make sense of this mystery food allergy.
What Did She Do?
Sue tracked her diet and the frequency and severity of her attacks.
How Did She Do It?
Sue was able to explore the data she was entering in to her self-designed spreadsheet tracking system. She used a few of the analytical tools and visualizations built into Excel to explore her data.
What Did She Learn?
Her analysis was able to pinpoint that dairy was probably the main culprit responsible for her attacks. Sue found out that she was able to improve her “good” days from 32% to 51% of the days she was tracking when she reduce dairy in her diet. When she experimented with adding dairy her findings were confirmed.
Two weeks ago we announced the release of the QS Access App so you could access your HealthKit data in tabular format for personal exploration, visualization, and analysis. In that short period of time, we’ve seen a good number of downloads and positive feedback.
We know from our experiences hosting in-person and online communication about personal data that seeing real-world examples of what is possible is what inspires people to engage and ask questions of their own data. With that in mind we’re excited to announce our QS Access Visualization Showcase.
We are looking to you, our amazing community of trackers, designers, and visualizers, to show use what you can do with data gathered from using the QS Access App. Make heatmaps in D3, complete analyses and visualizations in Wizard, or just make meaningful charts in Excel. If you’re visualizing your QS Access data we want to see it.
We also know that data visualization design and creation is not trivial work. To support the community and help expose the visualization work we’ll be awarding free tickets to our QS15 Global Conference & Exposition to individuals who use QS Access to create unique and interesting visualizations. We’ve earmarked two tickets (a $700 value) for outstanding work. If you’re selected, we’ll also work with you to showcase your work at the QS15 Conference and Exposition so other community members and attendees can explore and learn from their own data.
If you’re in the Bay Area come to our QS Meetup on November 11th at the Berkeley Skydeck. You can showcase your visualization and tell our community what you’ve learned from accessing and visualizing your data.
HealthKit is still new and the number of apps that integrate with it is growing by the day. At QS Labs we’ve done a bit of work making simple visualizations that are meaningful to us.
Steps and Sedentary Activity
Gary has an iPhone 5s which has native step tracking. We used the QS Access app to export his hourly step totals and made these simple line graphs in Excel. You can read more about what he learned from these simple data visualizations here.
How Much Do I Run?
Ernesto is an avid runner and enjoys running along the quiet trails in Los Angeles. He was interested to see how often he actually runs and if there’s any pattern to his running. Using a well-designed D3 template he was able to make a calendar heatmatp of his running distance.
If you don’t have any HealthKit data to work with, or just want to play with some example data we’ve created a few files that you can use as examples. Download the files below from our GitHub account and make sure to read the documentation to understand where the data is coming from. Descriptions of the data files and sources are available in our QS Access Data Examples repo on Github.
Today we’re happy to announce that we’re opening up a scholarship application for the QS15 Conference and Exposition. Since our first conference in 2011 our aim has been to foster an inclusive environment, and with the help and guidance from many attendees we’ve benefited greatly from exposing ourselves to the wide range of ideas about what it means to get “personal meaning from personal data.”
Last year, thanks to the leadership of our own longtime friend and collaborator, Amelia Greenhall, we published our first anti-harassment policy for the 2013 QS Global Conference. We leaned heavily on the great work of the Ada Initiative to make sure that our event attendees were supported and protected. We were further inspired by QS Boston and QSXX Boston organizer, Maggie Delano, to implement a code of conduct in order to make sure that our meetups are a welcoming place where community members can come together and safely share and learn from each other.
Opening up this scholarship application is an continuation of these ongoing efforts to support diversity and openness. We’re taking cues from other exemplary events such as Portland’s XOXO Conference & Festival and listening to thoughtful leaders in our community. QS15 is not your typical tech-focused event, our conferences never have been. They’re special because they’re attendee-driven. The community guides the program by sharing their self-tracking experiences and facilitating discussions on a wide range of topics. It makes sense to turn our beliefs on inclusion and diversity into action by welcoming and supporting those who have typically been underrepresented in our events and the broader techno-culture. These efforts also reflect our mission to support access. We’re currently in the early stages of a new effort to encourage and communicate about the importance of personal data access (see our QS Access App here). But access doesn’t have to stop at being able to download a CSV file. Access to our community of leaders, exemplary users, toolmakers, and researchers matters too.
If you identify with a group that has been underrepresented and would like to attend the QS15 Conference and Exposition we want to hear from you. We’ve made a simple application form for you to fill out so you can tell us a little about yourself. We’ll be reviewing applications as they come in. Because the conference is attendee-drive we place an emphasis on those would like to contribute to the program. We run our conferences on a shoestring, but this year we are going to do what we can to provide both registration and travel grants in this program.
We invite you to help support this program. When you register for the conference you’ll see a additional registration field marked “Donation.” We are grateful for your support, at any amount.
We’re experimenting with moving our comments from the blog to our QS Forum. To discuss this post we invite you to join the forum thread here.
Steve Zadig is the COO of Vital Connect, but when he’s not busy with his job he’s out racing high performance vehicles. In this talk, presented at our 2013 Global Conference, Steve explains how he uses data to help him achieve his racing goals.
What did Steve do?
Steve wanted to get more information about how his body was reacting during racing. Frustrated that he was getting a lot of diagnostic data from his car and not any from himself he sought to track different biometrics to see what he could learn about what happens while he’s behind the wheel.
How did he do it?
Steve wore a Vital Connect patch to record and transmit his respiration rate, heart rate, and stress levels while he was was racing.
What did he learn?
After the race Steve was able to match the data with specific points and events during the race. He learned how something major, like spinning out of control, caused a large spike in stress, and how when he’s feeling in the zone his body responds with a lower heart and breathing rate.
“It’s about knowing. It’s about the knowledge of what’s happening with your body and how to deal with that.”
The QS15 Conference and Exposition is fast approaching. We invite you attend and give show&tell talks just like this one about your tracking and personal data experiences.
At our 2013 Quantified Self Global Conference we were excited to share a variety of beautiful and insightful data visualizations from our community. In the months leading up to the conference we asked attendees to send in their own personal data visualizations along with a short description. In our 6 years of hosting Quantified Self meetups and events, as well as running this website, our forum, and social channels, we’ve seen the power of data visualization as a story telling medium. We exist in part to help people tell their stories – about the data they collect, the changes they create, and the insights and new knowledge they’re excited to share.
Today we’re sharing a few of our favorite visualizations from past conferences. The images and descriptions below represent a wide a variety of tracking experiences and techniques, and we hope to showcase eve more unique personal data projects at our upcoming QS15 Conference & Exposition.
Tracking Sleep by Anita Lillie
This is concatenation of screenshots from my sleep app. Most sleep apps don’t let you zoom out like this and still see daily/nightly detail, so I just made it myself. I like that it shows how almost-consistent I am with my sleep, and made me ask new questions about the “shape” of a night of sleep for me.
2.5 Years of My Weight by Mette Dyhrberg
I gained a lot of insights from this heat map. The most obvious weight gain was no surprise — that’s when I periodically don’t track. In any case, the big picture patterns are easily identified with a heat map. Realized looking at this heat map that the point of no return was mid-April 2012 — my data shows that was when I switched protein shakes with an egg based breakfast. I have since experimented and seen that protein shake in the morning seems to keep my blood sugar more stable and as a result my weight under control!
One Month of Blood Sugar by Doug Kanter
This is a visualization of one month of my blood sugar readings from October 2012. I see that my control was generally good, with high blood sugars happening most often around midnight (at the top of the circle).
Tracking Productivity by Nick Winter
My percentile feedback graph of my development productivity helps my motivation.
Six Months of My Life by David El Achkar
This is my life during the past six months. Each square = 15 minutes. Each column = 1 day. This picture represents 138 days or 3,000+ activities.
My Thesis Self Portrait by Sara M. Watson
Here’s a period of a few days of webcam images taken using Stan James’ LifeSlice during the final days of editing my thesis on Quantified Self uses of personal data. Serious business!
Sleep and Meaningful Work by Robby Macdonell
In an average work day, I don’t consider communication (email, instant message, etc) to be terribly meaningful work. I’d much rather be working on building software. Getting more sleep the night before increases the amount of meaningful work I’m likely to do in a day.
70 Days of Pulse by Laurie Frick
Pulse rate over 24 hours for 70 days from my Basis watch. Grey=null, blues=85
Like anyone who has ever been bombarded with magazine headlines in a grocery store checkout line, Kouris Kalligas had a few assumptions about how to reduce his weight and improve his sleep. Instead of taking someone’s word for it, he looked to his own data to see if these assumptions were true. After building up months of data from his wireless scale, diet tracking application, activity tracking devices, and sleep app he spent time inputing that data into Excel to find out if there were any significant correlations. What he found out was surprising and eye-opening.
This video is a great example of our user-driven program at our Quantified Self Conferences. If you’re interest in tell your own self-tracking story, or want to hear real examples of how people use data in their lives we invite you to register for the QS15 Conference & Exposition.