Tag Archives: cars
Enjoy this week’s list!
Would You Share Private Data for the Good of City Planning? by Henry Grabar. The use of personal, and typically private, data for municipal planning and research is becoming more common. Strava, Uber, and other companies are passing along their user data to government bodies interested in understanding their constituents. In this article, past projects are described and new ideas are put forth about this growing trend.
The social network for people who want to upload their DNA to the Internet by Daniela Hernandez. A wonderful piece of journalism on the growing OpenSNP platform for open user-donated genetic data. Take some time and read the whole thing. (Full disclosure: My 23&Me data is available on OpenSNP.org.)
What Cognition-as-a-Service should mean? by Debidatta Dwibedi. The promise of fitness trackers for many is that the use of them will improve one’s fitness. Dwibedi expresses the desire for a tool to make one wiser by helping the user avoid logical fallacies. There are tools that can help, like spaced repetition.
Connected Car: Quantified Self becomes Quantified Car by Melanie Swan.
Sensors sensors everywhere
Near and far
On your wrist
In your home
And in your car.
What On Kawara’s Analog Wisdom at the Guggenheim Has to Offer a Digital World by Ben Davis. A fantastic peek into “On Kawara: Silence” a recently opened retrospective hosted at the Guggenheim.
He was making art about the “quantified self”—the contemporary self-improvement craze for tracking and charting one’s personal data—not just before the fitbit, but before the handheld calculator.
What My Hearing Aid Taught Me About the Future of Wearables by Ryan Budish. A great article here about how to think about possible ways our technology with change and shape the world around us. Special consideration is given to our ever evolving relationship with the tools of wearable computing.
I tried to quantify my sex life—and I am appalled (NSFW language) by Miles Klee. I went back and forth whether to include this here, but in the end I think it’s important to expose tracking of all types.
How I audited my daily media habits and improved the way I read by Lydia Laurenson. Lydia was concerned with the amount of bad content she was reading on the web.For a month, she rated the articles she read according to a 5-point scale with categories like “I’m actually angry I clicked this link” and “Wow, this is really cool or useful. I’m glad I saw this.” With these ratings, she was able to see which publications produced good contents, and which outlets gave her recommendations worth her time. You can check out her (empty) tracking spreadsheet here.
The Quantified Chef by Dan Brown. Dan doesn’t fancy himself a self-tracker, but was interested in understanding his cooking habits as the main dinner cook for his family. Some interesting finds and thoughts about what it means to collect data on yourself.
Using a Log Book and Excel To Assess Time Use by Morris Villarroel. Morris spoke about how he uses journals to track his life at our 2014 QS Europe Conference. In this post, he explains how he transfers hand-written data into Excel for more in-depth analysis.
Sid Lee Dashboard. Sid Lee, a creative agency, outfitted it’s Paris office with multiple sensors and data gathering systems powered by Arduinos to feed a beautiful real-time data dashboard. Make sure to click through for the interactive site and watch their short video.
Two Thousand And Fourteen by Tyler Baird. A sentence or two cannot do this amazing work justice. Click, read, and take in the 8,760 hours of Tyler’s tracked life.
The BMJ Today: Patient Centered Care
Health Data Exploration Project Announces Agile Research Project Awards
FDA makes official its hands-off approach to regulating health apps and medical software
Small thoughts on large cohorts
Selling your right of privacy at $5 a pop
We’ve collected another fun batch of reading for you. Enjoy!
High tech in vehicles puts drivers’ privacy up for grabs by Karl Henkel.The cars we’re driving are collecting, storing, and in some cases, transmitting all sorts of data. What are the implications of cars as computers?
Are Companies tracking us, or merely “observing” us? by James Robinson. Another privacy piece here. When large corporations collect consumer data are they able to understand us individually, or are they just making observations about general patterns? Don’t forget, we’ve been down this road before.
Here’s what happens when a data scientist goes to Disney World by Derrick Harris. Apparently the theme to start the list this week is consumer tracking. This article takes a look at the newly implemented “Magic Band” system at the Disney World Resort. Disney is clearly leading the field here, but experience augmentation based on personal data is coming very soon to a store near you.
NBA players start wearing wearable health trackers by John Comstock. Not a surprising move here by the the NBA to equip players with wireless healthy and activity tracking systems. This isn’t the first time we’ve seen self-tracking technology being adopted by professional athletes. I for one am looking forward to watching basketball games with integrated player data visualizations.
Self-surveillance: Should you worry or simply embrace your personal data? By Laurie Frick. A great piece here by our friend, Laurie Frick. Laurie is an artist based in Austin (and part of the Austin QS meetup group) that uses self-tracking data as the inspiration for her various artistic explorations. In this piece she explains her work and he feelings about self-tracking.
Home Automation is an EasyHard Problem by Scott Jenson. I’m a big fan of the Internet of Things and look forward to a more connected future. However, maybe our ideas about what is possible are misguided. In this short piece Scott explains that it’s possible we’re not properly classifying the actual problem at hand, “[...] humans are messy, illogical beasts and simplistic if/then rules are going to create a backlash against this technology.”
Summer Internship in Advanced Analytics. Our friends at Pew are looking for interns to work on advanced analytics and data science. We’d love to see a member of our QS Community help them out.
Visualizations of the Week
Eternal Portraits by Brian House. Facebook uses facial recognition algorithms to know what their users look like. At one point they exposed that data to users as part of the data export feature. Says Brian, “The information is unusable in its raw form without knowing the specifics of Facebook’s algorithm. But as an irrevocable corporate byproduct, the future implications of such data remain unclear.
The Formation of Love by Carlos Diuk. The Facebook data team crunched the numbers and started to learn what happens as users fall in and out of love.
Visualizing Health. A great new project from our friends at the Robert Wood Johnson Foundation and their collaborators at the University of Michigan. Browse the galleries to find scientifically vetted visualization techniques related a variety of health information situations.
From the Forum
Reporter App Question
Drowzy: app made by Board certified Psychiatrist and Sleep Medicine Expert
Fitness tracker and Jawbone Up data analysisa
Sentiment analysis on my own writing
Best iOS app to track water/coffee/alcohol intake?