Data Dimensions Reading

Data Dimensions: Accessing urban Data and Making it Accessible, by MIT SENDEable Cities Lab

This article goes into detail on decoding urban data sets, and how understanding city data is important for research, and in our case, design. Classifying data can be tricky because of the bias of researchers, for example what data to collect, how to interpret that data and distribute it. Evidently, our phones are data collecting machines, its interesting to see how there already a bias on data that reaches each person. For example, the commercials on Youtube or ads on social media, all specifically distributed to me based on my likes on social media or what searches I make, etc/.