Introducing The Quantified Self Advisory Board!

October 14, 2009

Do you need help with your self-tracking data analysis? Is there a specific problem or burning question about your experiment design that you’d love some guidance on? Gary and I are proposing an idea to help – read on for details!

We’ve gathered an amazing Quantified Self Scientific Advisory Board to be part of our community. It’s a star group of international scientists involved in data analysis, data visualization, and self-experimentation. In alphabetical order, they are:

– Alex Bangs, Human Predictive Biosimulation, Entelos
– Gordon Bell, MyLifeBits, author of Total Recall, Microsoft Research
– Jeff Heer, Collaborative Data Visualization and Flare/Prefuse, Stanford
– Gary King, Quantitative Social Science and n=1 experiments, Harvard
– Teresa Lunt, Director of Computer Science Lab, PARC
– Seth Roberts, Self-Experimentation guru, author of Shangri-La Diet, Berkeley and Beijing
– Neil Rubens, Data Mining, University of Electro-Communications, Tokyo

The experiment we’d like to do is to encourage Quantified Self members to formulate questions about the personal data that they are trying to work with. Post them as comments or send them to me. We will make sure the questions are interesting and at least partially answerable, pass them along to the appropriate Advisor, and publish the questions and responses here on the Quantified Self blog, as a way to get discussion going and add value to everyone involved.

So let us know what you think, and start asking questions!

Related Posts

Self-Registration: A person-centered approach to recording symptoms, observations, and outcomes.

Gary Wolf

August 11, 2020

If we want to know about typical and atypical symptoms of COVID-19, why wait until people show up at the doctors’ office or emergency room and then ask them to tell us: When did you first feel sick? It’s reasonable to want to build on top of our everyday tools, and track the development of the disease as it occurs. I want to underline what tends to be forgotten in our product-obsessed culture: these tools are not simply measurement instruments and wearables; they include the social and cognitive tools individuals are using to understand and manage their own health.

A Stage-Based Model of Personal Informatics Systems

Gary Wolf

July 3, 2020

In 2010 Ian Li, Anind Dey, and Jodi Forlizzi published a prescient paper called "A Stage-Based Model of Personal Informatics Systems" based on interviews in the Quantified Self community. It was a prescient description of an emerging practice.

A Framework for Personal Science

Gary Wolf

July 2, 2020

Self-tracking. Self-experiment. N-of-1 methods. Single subject research. The kinds of self-research seen in the Quantified Self community are described by a thicket of labels. In a perspective article recently published in Frontiers in Computer Science, Gary Wolf and Martijn de Groot attempt to provide a clear definition and framework for research.