Make Advanced Self-Measurement More Accessible by Bob Evans

March 1, 2016

17918112346_0de1c27322_o

From the Quantified Self Public Health Symposium

Why can’t everybody use advanced analytics to understand themselves? Bob Evans is the lead developer of PACO, an open source tool for supporting both individual discovery and large scale participatory research. Bob originally designed PACO as a personal project to get a better handle on how he felt at work by querying himself at random times during the day, a method known as “experience sampling.” PACO has grown and developed over time into a platform for experimentation used in over one thousand projects designed by researchers, companies, and individuals. Here, Bob shares some of his lessons about how and where the individual quest for self-discovery connects with large scale research. “The goal is to make it easier for researchers and individuals to experience their own lives, be scientists, and make their own experiments at will. The long tail of questions that people want to ask is very, very long.”

Watch Bob’s video on Medium.

Related Posts

Design and Implementation of Participant-Led Research

Azure Grant and Gary Wolf

September 3, 2019

THE QUANTIFIED SELF is about making personally relevant discoveries using our own self-collected data. We call this practice everyday science, a name that emphasizes its nonprofessional character. Lately, we've been organizing small group projects that show how collaboration can make individual projects easier. Today we're publishing a detailed white paper documenting the design and implementation of our recent "Bloodtesters" PLR, hoping it will be useful to others who follow in our footsteps. Please click through to the full post to read about the white paper and download a complete version.

QS18 Preview: Map Your Ovulatory Cycle with Continuous Body Temperature

Azure Grant

September 9, 2018

From the Quantified Self Public Health Symposium Why can’t everybody use advanced analytics to understand themselves? Bob Evans is the lead developer of PACO, an open source tool for supporting both individual discovery and large scale participatory research. Bob originally designed PACO as a personal project to get a better handle on how he felt...

We Have Posted The Conference Program for QS18!

Gary Wolf

August 19, 2018

From the Quantified Self Public Health Symposium Why can’t everybody use advanced analytics to understand themselves? Bob Evans is the lead developer of PACO, an open source tool for supporting both individual discovery and large scale participatory research. Bob originally designed PACO as a personal project to get a better handle on how he felt...