How Can We Get More Meaning Out of Our Data?

For about a year QS Labs has been working on a small scale project to learn how we can get more meaning out our personal data. The program involves small group discussions in which participants share data in advance, collaborate on visualization and analysis, and discuss the results. With a research grant from Intel, we’ve been able to schedule another round of these for the coming months. They are called ”QS Co-Labs.” The events take place online (over Google Hangout). If you’d like to participate, please let us know by filling out the survey below.

We’re focusing this round of QS Co-Labs on a few specific themes. If you’re using self-tracking tools, apps, web services, or devices to track any of the following we especially want to hear from you!

  • Sleep
  • Data Aggregation (e.g. Tictrac, Runkeeper, Fluxtream, etc.)
  • Physical Activity
  • Email (meta data)
  • Mood
  • Location

We can’t do this without the generous help of our community. We have some great data visualization experts and analysts who are helping us, but we can always use more. If you have visualization or analysis experience and want to participate, share your skills, and help others get meaning out of their data we would love to have you. Fill out our survey or let us know directly.

If this sounds interesting and you’d like to take part then please fill out our short survey so we can get to know you better.

Click here to fill out our Co-Lab survey 

This entry was posted in Lab Notes and tagged , , , . Bookmark the permalink.

One Response to How Can We Get More Meaning Out of Our Data?

  1. Kati Rodzon says:

    I would love to be involved. I am a statistician and a QS and a friend and I are working on aggregating data, providing a visualization of it and even doing predictive analyses in the future.
    I would love to be involved in this to hear what everyone else is thinking and help contribute.

Leave a Reply

Your email address will not be published. Required fields are marked *


You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>

Notify me of followup comments via e-mail. You can also subscribe without commenting.