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!