Tag Archives: food
Enjoy this week’s list!
The inside story of how Apple’s new medical research platform was born by Daneila Hernandez. I know we’ve been talking a lot about ResearchKit lately, but I had to add this fantastic piece on Stephen Friend’s journey that lead him to help bring it out of Apple’s lab and onto our iPhones. Of particular interest was this sentence from a FOIA request on Apple’s meeting with the FDA in 2013:
“Apple sees mobile technology platforms as an opportunity for people to learn more about themselves. “
Your Data Is Not Your Life Story by Michael Humphrey. An interesting take on the influence of machines and algorithms on our ability to understand and tell the stories of our lives.
Data Privacy in a Wearable World by Gawain Morrison. Gawain lists five steps for companies to consider as they beocome the gatekeepers of our personal data. My favorite: “Set up an ethical body”
DJ Patil Talks Nerd to Us by Andrew Flowers. You may know DJ as the gentleman who coined the term “data scientist” or from his groundbreaking work at LinkedIn, or maybe even his new position as the deputy chief technology officer for data policy and chief data scientist at the White House. Regardless, this interview sheds some light on his new role and how he thinks about the power of data at the national level.
Wireless Sensors Help Scientists Map Staph Spread Inside Hospital by Scott Hensley. A great piece on a new research article the described a new digital epidemiology method used to track individuals and infection in a hospital. One can’t help but wonder about the future of this type of system for understanding healthcare interactions now that we have low-cost iBeacon, NFC, and RF technology embedded into our phones.
Sensored City by Creative Commons. Together with the Robert Wood Johnson Foundation and the City of Louisville, CC Science is creating an open-source project to map and visualize environmental data. So great to see this work getting out there.
Reflections on my ongoing diet and fitness project by Shannon Conners. Again Shannon wows us with her beautiful and thoughtful explanation on how tracking and visualizing her data has set her on a path to a healthy weight.
“I have now collected enough free-living data in my own n=1 study to quantify what works for me to lose weight and maintain in a healthy range for me — an understanding that largely eluded me up to this point in my life. Not surprisingly, I have converged on the same deficit strategy commonly employed in weight loss studies that treat people like caged rats, closely quantifying their intake and activity to prove that negative calorie balance is the critical factor that causes weight loss. I’m truly grateful that I didn’t need to live in a cage to learn what I have over the past few years. In many ways, learning what I have from my data has helped set me free.”
Tracking Joy at Work by Joe Nelson. Joe and his coworkers use Slack to communicate at work. He was wondering why sometimes things just weren’t working right so he created a tool to randomly ask himself and his coworkers how he they feel. Results are then displayed anonymously on a dashboard. So cool.
Dear Data by Giorgia Lupi and Stefanie Posavec. Two friends track one topic each week and send each other postcards with hand-drawn visualizations based on the data. Absolutely beautiful work.
Air Transformed By Stafanie Posavec with Miriam Quick. Two wearable data objects based on open air quality data: Touching Air (a necklace) and Seeing Air (glasses).
Laurie Frick – American Canvas. A great interview with our friend and data artist, Laurie Frick. Make sure to watch through to the end.
It’s Not Just the Watch: Apple Also Helping Cancer Patients
Americans Believe Personal Medical Data Should Be Openly Shared with Their Health Care Providers
What should we do about re-identification? A precautionary approach to big data privacy
We hope you enjoy this week’s What We’re Reading list!
The Wow of Wearables by Joseph Kvedar. An excellent post here in the wake of the “Smartphones vs. Wearables” hype in the past weeks. Favorite part:
“I’d have to say that reports of the death of wearables have been greatly exaggerated. The power of sensor-generated data in personal health and chronic illness management is simply too powerful to ignore.”
Survival of the Fittest: Health Care Accelerators Evolve Toward Specialization by Lisa Suennen. If you’re at all interested in the recent surge in health and healthcare focused accelerators this is for you. Excellent reporting. (Thanks for sharing Maarten!)
Your Brain Is Primed To Reach False Conclusions by Christie Aschwanden. Fascinating piece here about the nature of the “illusion of causality.”
A Few Throughs About Patient Health Data by Emil Chiauzzi. Emil, Research Director at PatientsLikeMe, lays out four point to consider when thinking about how to best use and grow self-collected patient data.
Having Parkinson’s since I was 13 has made me an expert in self-care by Sara Riggare.
I am the only person with the whole picture. To me, self-care is everything I do to stay as healthy as possible with a disease that is a difficult life companion. It entails everything from making sure I take my medication in the optimal way, to eating healthily, getting enough sleep, to making sure I stay physically active. I also make an effort to learn as much as I can about my condition; my neurologist says that I know more about Parkinson’s research than he does. I don’t find that odd, since he needs to try to stay on top of research in probably hundreds of neurological diseases, whereas I focus on just one.
From Bathroom to Healthroom: How Magical Technology will Revolutionize Human Health by Juhan Sonin. A beautifully written and illustrated essay on the design of our personal healthcare future.
Experimenting with sprints at the end of exercise routines by Gustavo M. Gustavo is a person with type 1 diabetes. After reading that post-exercise high intensity exertion might have an effect on blood glucose he put it to the test.
On Using RescueTime to Monitor Activity and Increase Productivity by Tamara Hala. Tamara walks us through the last three years of her RescueTime data and how she used that information to understand her work and productivity.
How Do You Find Time to Write? by Jamie Todd Rubin. Jamie has been writing for 576 consecutive days. How does he do it? A mixture of data and insight of course!
Say “I Love You” With Mapping by Daniel Rosner. Wonderful to see CHI papers ending up on Medium. This seems like a fun self-tracking/art project.
Cleaning up and visualizing my food log data with JMP 12 by Shannon Conners. Once again, Shannon displays a wonderful ability to wow us with her data analysis and visualization. Above is four years of food tracking data!
Two Trains: Sonification of Income Inequality on the NYC Subway by Brian Foo. Brian created this data-driven musical composition based on income data from neighborhoods the border the 2 train. Beautiful work.
Walgreens adds PatientsLikeMe data on medication side effects
How Open Data Can Reveal—And Correct—The Faults In Our Health System
Big Data is our Generation’s Civil Rights Issue, and We Don’t Know It.
Julie Price has been tracking her weight consistently for the last four years. Like many of us, she found that her weight goes up and down depending on various life events. In this talk, presented at the Bay Area QS meetup group, Julie discussed what she’s learned about her weight and what correlates with weight gain and weight loss. Specifically, she focuses on the role of family gatherings, exercise and running races, and how different food and dieting methods either helped of hindered her progress.
We’re excited to have Julie joining us at our 2015 QS Global Conference and Exposition on June 18-20th. Early bird tickets are now available, and we hope you can join us for a great three days of learning, sharing, and experiencing the latest in QS techniques and tools. Register now.
Bryan Ausinheiler was experiencing gastrointestinal issues for years and decided it was time to figure out what was causing it. By precisely controlling his diet – eating exactly the same quantities at exactly the same time – for a month and then measuring the quality of his stool in a self-designed spreadsheet he was able to create a baseline dataset to better understand his issues. Bryan then developed an experimental protocol that included “elimination and diet variations to figure out the cause of my frequent (3-5x/day) loose stools.” It turns out that “eating too many sunflower seeds was the main culprit.” Watch Bryan’s fascinating talk, presented at the Bay Area QS meetup group, to learn more about his process, and how he tackled self-experimentation and data collection.
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.
At the start of 2013 Ellis Bartholomeus decided to start keep track of her life. Since her friends were always asking about her eating habits (she was a consistent traveler and rarely at home) she decide to start tracking her food. Instead of entering in her food into a calorie counting app she started taking pictures of everything she ate. In this talk, presented at the 2013 Quantified Self Europe Conference, Ellis describes her process and some of the interesting things she learned along the way. I was especially interested to hear how these pictures served to act as “anchors” for other things going on in her life:
It became a great way to remember how I spent my days, where I was, with whom. These pictures are very clear reference, they work like anchors in my memory. It is very joyful to browse through the month food-wise since dinner and breakfast are so often a social occasions, and I was reminded of great conversations and situation while looking at the picture.
Four years ago Morris Villarroel was inspired to start writing things down. He started with a simple Muji notebook and begun adding some structure such as daily logs, life events, and review of books and articles he had read. In the process of filling out over 130 journals his process has evolved to include journaling about other important aspects of his life. In this talk, presented at the 2014 Quantified Self Europe Conference, Morris explains his journaling in detail, gives a few examples of how he’s able to analyze the data he’s tracking in his journals, and explains how this process has improved his reflection and preparation for future events.
You can also view the slides here.
What did you do?
Kept a log book of daily events over the past four years in muji notebooks, including work, personal life and readings.
How did you do it?
The writing evolved into different sections, including an agenda, food page, idea page, book index and readings written from back to front. I titled each page with the main events and included all pages and events in an excel spreadsheet for easy access and analysis.
What did you learn?
That most events in my life can be classified as work (57%), personal (32%) and writings (11%) and were not very correlated with steps (Fitbit data), and a little more with floors. The whole process also inculcated more reflection on the preparation of events, their intensity and reviewing and reusing results, to then improve preparation in the future.
Rosane Oliveiria is a researcher and scholar that focuses on integrative medicine, genomics, and nutrition. She’s also an identical twin. In 2012 she was struck by the different patterns of weight fluctuations that she and her sister, Renata, had been experiencing. Using historical data and medical records she was able to go back in time and track their paired histories, dietary changes, and blood markers. Rosane and Renata started adding to there data-rich story by exploring genetic testing, additional biomarkers, and are looking to incorporate activity and microbiome data in the future. Watch her presentation, from the 2013 Quantified Self Global Conference, to learn more about this interesting quantified double self story.
Food. It’s a wonderful social glue that binds people and cultures together in common practices of preparation, presentation, and consumption. It also happens to be a behavior perfectly positioned for self-tracking. Have I ate too much? Did I get enough vitamins? Am I drinking enough water? Am I drinking too much beer? These introspections can go on almost indefinitely. It should come as no surprise that food tracking is somewhat of a hot topic in the Quantified Self community. We’ve seen many different presentations about how to use simple tools or apps for food tracking over the years. One of the reoccurring themes in many of the experiences we’ve learned about is the simple power of tracking food with pictures.
Ellis Bartholomeus is a game and design consultant who became interested in tracking her food consumption after her friends asked her about he eating patterns. Being the curious type she embarked on a self-tracking project that involved taking a picture of everything she ate and drank. She’s detailed some of her findings in this wonderful blog post. We’re excited to learn more about this ongoing project at our upcoming QS Europe Conference where Ellis will be taking part in our Show & Tell presentations track. Until then, here’s a peek into her what is sure to be an interesting talk.
Ellis began by taking a picture of her food and also informing her friends through Facebook of her intentions. The social pact and the positive reactions of her friends helped to give her that extra motivations boost to keep the poject going. She also mentioned that the simple act of taking a picture provided here with that little extra push to pay attention to her food preparation and not miss too many meals during her busy schedule.
Interestingly, Ellis mentions that the act of photographing her food led her to be more mindful and thoughtful not just about her meals, but also about her day-to-day experiences:
It became a great way to remember how I spent my days, where I was, with whom, very clear reference these pictures, work like very clear anchors in my memory, very joyful to browse through the month foodwise since dinner, breakfast is so often a social occassion, and I was reminded on great conversations and situation while looking at the picture.
We are really excited to have Ellis presenting as part of our Show & Tell track. Make sure to check out our previous conference preview posts as well to get a taste of our amazing community of speakers.
The Quantified Self European Conference will be held in Amsterdam on May 11th & 12th. Registration is now open. As with all our conferences our speakers are members of the community. We hope to see you there!
We’ve posted some great talks by Amelia Greenhall here on the blog and we’re excited to bring you another insightful presentation. Last year Amelia gave a wonderful talk about her weight loss journey and the power of using running averages. In this updated talk Amelia gives a more in-depth look about how using a 10-day moving average serves as an “early warning system” that puts helps put her back on the path of mindful eating. Filmed at the QS Silicon Valley meetup group