TIMON MCPHEARSON, THE NEW SCHOOL, NEW YORK, NY, USA


PRESENTATION TITLE: TAKING ADVANTAGE OF BIG DATA AND THE INTERNET OF THINGS TO ADVANCE THE SOCIAL-ECOLOGICAL STUDY OF URBAN SYSTEM COMPLEXITY

SLIDES

 

Summary

This presentation discussed the use of data steams to build the science that can inform policy in urban areas.  It gives an overview of the NYC social-ecological system, including how New York City utilizes ecosystem services and what ecosystem services are provided by the city(more specifically, ecosystem services provided by vacant lots, the social needs of surrounding residents and the extent to which they are provided.)  The data from social media outlets, such as Twitter and Flickr, can be utilized to answer many of these social questions.  Residents are constantly reporting their perceptions, values and attitude about spaces, whether it be through the sharing of photos, status updates, or emoticons.  These sources of data represent a new way forward in advancing the study of complex urban systems.

 Key Lessons Learned

There is a massive amount of information about the complexity of urban systems that we can use to inform policy and planning.

Policy/Practice Implications of Research

Planners can use this data and its characteristics to understand why people are using some resources and not others.  This will help planners to better focus on what they should and should not develop.

Knowledge Gaps and Needs

Adding social demographic data is beneficial to understand the motivations and backgrounds of the people who are utilizing public spaces.

 

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