M Young 1.1 readings

“Data dimension: accessing urban data and making it accessible”

It was interesting to read about studies that were done, data that was collected, and then what that data was used for. For example, The Borderline Project. Using phone calls as a way to identify patterns in communication across a county is an interesting way to look at who and where people are connecting with. Furthermore, since the scale at which the projects were focused on and the quantity of data gathered was so large, some of it was deemed insufficient for the purpose of the study, which can happen due to factors outside of your control. Collectively, the projects showed that collecting and analyzing data at such a large scale can help to understand either a problem or pattern at an urban scale. 

“Atmosphere Informed: Design Awareness of Small-scale differences of Atmosphere in Architecture and Urban Design”

Compared to the previous paper, the work mentioned focused more on data at a human scale. With the example of the Hudson House, the data gathered from environmental factors determined many key aspects and concepts of the design. The same ideas of data analysis are useful and should be applied when creating a design that benefits the client, community, and environment. Alternatively, the research done in Barcelona demonstrated the importance of analyzing data to identify and combat atmospheric issues that contribute to human health.