Topic Archives: Conference

QS Europe Preview: Where does your time go?

SmarterTime

Time is the finite resource that we all share. We share, too, the befuddlement in how it’s spent. It seems that we are equally terrible at remembering what happened in the past and estimating how long something will take in the future.

EmmanuelPontHaving worked in project management for years, Emmanuel Pont knows full well everything hinges on time: how you use it, where it goes, why you never have enough. Emmanuel will be contributing two sessions at QS Europe related to the topic. He will facilitate a breakout discussion exploring productivity. What does it mean to be productive? How do you know if you are being productive? Emmanuel will also give a 5 minute ignite talk on his tool that helped him get a comprehensive sense of how his time was spent: from the websites he visited, to the rooms that he spent time in.

We program our QS conferences to support the exchange of ideas, and we’re always inspired by what we learn. Our next one is coming soon. QS Europe, September 18th and 19th in Amsterdam. We’ll see you there.

Register for QS Europe

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QS Europe Preview: Using Genetic Data for Recovery from Injury

RPDown

In the nearly 10 years since direct-to-consumer genetic testing was pioneered by 23andme, regulators have grown more watchful over the claims companies can make about the benefits of knowing your genome. In response, direct-to-consumer testing companies have changed their game plan, emphasizing ancestry and fun facts over physiological insight. Meanwhile, at Quantified Self meetings and conferences, interest in using direct-to-consumer genetic data for health and fitness has never let up.

This year at the QS Europe, Ralph Pethica, whose PhD in genetics and obsession with sports performance in surfing and cycling lead him to use his own DNA results to optimize his training, will be contributing two sessions. He’s going to lead a 30 minute “how-to” session on making better use of our genomic data to optimise fitness training; and, he’s going to give a fascinating 5 minute ignite talk about the cycling accident that lead him to explore the relationship between genomics and recovery from injury. You’re invited to join the discussion!

We program our QS conferences to support the exchange of ideas, and we’re always inspired by what we learn. Next up: QS Europe, September 18th and 19th in Amsterdam.

Register for QS Europe

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QSEU15 Preview: Putting Physiological Signals into Pictures

Virtual View - early version

Media artist Danielle Roberts ( check out her Reverse Calendar), found her curiosity piqued by a scientific paper claiming that  the well-known calming benefits of being in nature can be achieved by merely looking at pictures of natural landscapes.

DanielleRobertsAt QS Europe 15, Danielle will present “Virtual View” project, which combines image and sound for immersion in a constructed natural environment – with a twist. Virtual View feeds your physiological signal back into the system, subtly altering based on your response.

Join us in Amsterdam for QS Europe on September 18th & 19th, 2015. It will be an incredible two full days of talks, breakout discussions, and working sessions. We look forward to seeing you there! 

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Maggie Delano: Building Myself Back Up

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!

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QSEU15 Preview: Morris Villarroel on Slowing Time with a Lifelog

Morris Villarroel at QS14

The 2015 Quantified Self Europe Conference will commence in less than four weeks, bringing together the QS community to share what they’ve been learning with personal data.

Anyone who engages in any sort of self-tracking discovers that the data collected is not a mere recording of some aspect of your life. Rather, engaging with and reflecting on that data can change the way that you relate to an aspect of yourself. Something as simple as getting on a scale each morning can change the way you think about weight. Morris Villarroel has discovered a novel way that this relationship can develop. At this year’s conference, Morris will talk about how using a Narrative camera to keep a visual record of his days, along with detailed notes, has changed his subjective experience of time, “bringing it closer to the present.”

I experienced something similar when I used a spaced repetition system to memorize entries from my daybook. Frequently recalling recent events kept the past distinct and novel. When a month passed, it no longer seemed like a blur, but a container filled with distinct experiences that differentiated itself from any other month.

You can find out more about how Morris gleans value from his lifelog at the 2015 QS Europe Conference. In addition to his show&tell talk, Morris will be leading a breakout discussion on how we can learn more from our lifelogs. We invite you to join us in Amsterdam on September 18th & 19th for two full days of talks, breakout discussions, and working sessions! Early bird tickets are still on sale. Register today for only €149!

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QSEU15 Preview: Ellis Bartholomeus on Doodling Mood

EllisMoodFaces

In just four short weeks we’ll be kicking off the 2015 Quantified Self Europe Conference, and we are so excited to hear from old friends, learn from new members, and interact with some wonderful toolmakers. It’s going to be a great time.

As you may know, we build our conference programs from the ground up with attendees submitting their projects and ideas when they register. It’s always fun to read about someone’s new self-tracking project or experiment, especially when it involves something we haven’t seen before. Today we’re going to begin our conference previews with one of those novel and interesting talks.

EllisB

 

Ellis Bartholomeus is no stranger to our QS Conferences, having given an excellent talk on using photos for food tracking at our 2013 Europe Conference. At this year’s conference Ellis will be sharing her experience with a very interesting type of mood tracking. For six months Ellis tracked her mood by drawing a face every day. This simple act of using a quick doodle to track how she was feeling led to some unexpected benefits:

 

This inspired and engaged me more than expected with other quantifications. The faces triggered my curiosity and provided many insights, which continue to motivate me.

Mood tracking is something that continues to intrigue our community. Understanding our happiness, what affects our mental state, and how to improve our moods is a common theme at meetups around the world. We’re interested to learn more from Ellis and her experiences at the 2015 QS Europe Conference. If you’re tracking your mood we invite you to join us in Amsterdam on September 18th & 19th for two full days talks, breakout discussions, and working sessions! Early bird tickets are still on sale. Register today for only €149!

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2015 QS Visualization Gallery: Round 4

We’re excited to share another round of personal data visualizations from our QS community. Below you’ll find another five visualizations of different types of personal data. Make sure to check out Part 1Part 2, and Part 3 as well!

daily habits Name: Damien Catani
Description: This is an overview of how I have been doing today against my daily habit targets. Yes, I had a good sleep!
Tools: I used a website I’ve been building for the purpose of setting and tracking all goals in life: goalmap.com

 

tock_b_tock_goal_page Name: Bethany Soule
Description: This is my pomodoro graph. I average four 45 minute pomodoros per day on my work, and I track them here. This is where most of my productivity occurs! There’s some give and take.
Tools: The graph is generated by Beeminder. I use a script I wrote to time my pomodoros and submit them to Beeminder when I complete them. The script also announces them in our developer chat room, so there’s also some public accountability there as well.

 

 

qs1 Name: Steven Zhang
Description: This plot shows the time I first go to sleep, against quality of day (a subjective metric I plot at the end of every day). What this tells me is that if I get a full night’s sleep of 8 hours, for every hour I got to bed, I can expect a .16 decrease in my QoD rating, which, given my range of QoD around 2 to 4, is about a 5% decrease in quality of day.
Tools: Sleep as Android to track sleep and some python scripts for ETL.

 

qs2Name:Steven Zhang
Description: Log of all my sleep for the last 6 months, labeled by the types of sleep I most often encounter

  1.  Normal sleep
  2. Napping
  3. 3. Trying to achieve normal sleep, but failing to

Tools: Tableau for visualization. Sleep as Android for logging sleep.

 

Digits
Name: Eric Jain
Description: Benford’s Law states that the most significant digits of numbers tend to follow a specific distribution, with “1″ being the most common digit, followed by “2″ etc. But my daily step counts show a slightly different distribution: The fall-off from “1″ to “2″ is larger than expected, and the frequency of digits larger than “5″ increases rather than decreases. Is this pattern typical for step counts? Could suspicious distributions be used to detect cheaters?
Tools: Fitbit, Zenobase, Tableau

Stay tuned here for more QS Gallery visualizations in the coming weeks. If you’ve learned something that you are willing to share from seeing your own data in a chart or a graph, please send it along. We’d love to see more!

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QS15: A Review

QS15 Tweet Robot designed by The Living. Photo: Rajiv Mehta

QS15 Tweet Robot designed by The Living. Photo: Rajiv Mehta

In just little more than a month we’ll be convening in lovely Amsterdam for our 2015 Quantified Self Europe Conference. While some might call us crazy since we just wrapped on our big QS15 Conference in San Francisco, we like to think that we’re on a tour, inviting people from around to world to engage and learn about the power of personal data.

With QSEU15 so close, we decided to take a quick look back at what makes our conferences so special. Rather than telling you what we think we thought it would be best to highlight the thoughts and writing from individuals who attended and participated in our 2015 Quantified Self Conference. We’ve gathered up links to articles, blog posts, and write-ups of all types and are posting them here for you to read and review.

If you’re intrigued by the ideas and events described in the links below make sure to register for QSEU15. Early Bird tickets are on sale for just a bit longer so take advantage now!

Training the Next Generation of ‘Quantified Nurses’

Quantified Self ’15 (Day 1 Recap)

Quantified Self ’15 (Day 2 Recap)

What’s a Self Anyway?

Compass Alpha at the Quantified Self Conference 2015!

Quantified Self Expo, Part I

Quantified Self Expo, Part II 

About the Quantified Self Conference and Expo

Own your Biological Machine

Quantified Self 2015

Architecting health data for the cloud

What you can learn from the 2015 Quantified-Self conference

QS15: Measurement with Meaning

More About Me at QS15

What I learned at Quantified Self 2015

Notes from the 2015 Quantified Self Conference

My Data, Your Data, Our Data

News from the Quantified Self movement

Quantified Self Labs

Some of the Best from the 2015 Quantified Self Conference

Personal Gold @ Quantified Self ’15

Learning about new self-tracking technology at QS15

If you wrote something about your experience at QS15 let us know! We’d love to feature it.

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Why Quantified Self Show&Talks are Amazing

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.

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2015 QS Visualization Gallery: Part 3

We’re excited to share another round of personal data visualizations from our QS community. Below you’ll find another five visualizations of different types of personal data. Make sure to check out Part 1 and Part 2 as well!

eddie-flights Name: Edward Dench
Description: All recorded flights I’ve taken.
Tools: Manual entry into openflights.org (there is an interface using TripIt though).

 

QS Visualization Name: Siva Raj
Description: After 6 months of regular exercise failed to improve my fitness and blood pressure levels, I switched to training above my endurance limit (anaerobic threshold). This was higher intensity but half the cycling time, yet my fitness and blood pressure improved within weeks.
Tools:Revvo – tracking fitness and intensity of workout; Withings – weight; iHealth BP Monitor – BP. Visualization created by overlaying Revvo screenshot with other information in photoshop.

 

Screenshot 2015-06-05 08.07.14 Name: Kurt Spindler
Description: Grafana is a common tool in the Software community to create beautiful dashboards to visualize server health (network, requests, workers, cpu, etc.) and therefore more easily diagnose problems. I created a custom iOS app that allows me to publish metrics to the same backend as Grafana, giving me Grafana dashboards for my personal health.
Tools:Custom iOS app, Grafana, Graphite
RyanODonnell_PagesReadPerMonthName: Ryan O’Donnell
Description: This semi-logarithmic graph is called the Standard Celeration Chart (SCC). It’s beauty is that anything a human does can be placed on this chart (i.e., standardized display). This also allows for cool metrics to be developed that lend well to predictability. I charted the number of pages that I read for my field of study, Behavior Analysis. I wrote a blog post on the display to speak some to the reading requirements suggested by professionals in the field. There were many variables that led to variations in reading rate, but the point of this work was to try and establish a steady reading repertoire. A recent probe in May of 2015 was at 2800 pages read. Essentially, I learned how to incorporate reading behavior analytic material almost daily in my life, which indirectly aids in the effectiveness I have as a practitioner and supervisor.
Tools: Standard Celeration Chart and paper-based data collection system (pages read each day on a sheet of paper).

 

Graph4_red_black Name: Francois-Joseph Lapointe
Description: This *Microbial Selfie* depicts the gene similarity network among various families of bacteria sampled from my gut microbiome (red) and oral microbiome (black). Two bacteria are connected in the network when their gene sequences are more similar than a fixed threshold (80%). The different clusters thus identify bacterial families restricted to a single body site (red or black) versus those inhabiting multiple body sites (red and black).
Tools: In order to generate this data visualization, samples of my oral and gut microbiome have been sequenced on a MiSeq platform by means of 16S rRNA targeted amplicon sequencing, and the resulting data have been analyzed using QIIME, an open-source bioinformatics pipeline for performing microbiome analysis. The gene similarity network was produced with the open graph viz platform Gephi, using the Fruchterman–Reingold algorithm.

Stay tuned here for more QS Gallery visualizations in the coming weeks. If you’ve learned something that you are willing to share from seeing your own data in a chart or a graph, please send it along. We’d love to see more!

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