Explore the Quirky World of Self-tracking Experimenters
We have the ability today to collect so much data on ourselves. With this data we might be able to discover new things about ourselves and to do something with our discoveries. But this explosion of opportunity has difficulties of its own. How do we manage all of these sensors and data? What will we track? And what should we do with anything we find?
From data to information to connection
Currently we track the most basic of events: steps, calories, restlessness during sleep, heart-rate maybe. We collect this data and try to piece together a picture of our health or self or life. But even this simple data can start to become overwhelming.
Finding meaning in data is difficult. The more types of data available, the more ways in which it can be correlated. Just collecting data haphazardly and looking for patterns leads to a swamp of statistics. Finding what is relevant after the fact is next to impossible.
It is better to collect data with a clear goal in mind. Ask a question and choose the data you will need to collect. With so many new sensors we have exponentially more combinations of data to explore. How do we know what data to collect? What questions should we ask? What do we really want to know?
The answers to these questions are not clear - they are different for every person. But perhaps there is another way. We can turn over the generation and collection of these questions to the crowd...