Abstract
Population wellness and quality of life are the results of complex urban biophysical and socioeconomic dynamics. This article explores this novel domain and introduces a broader context of urban data landscape and health indications. It also provides a specific project narrative as an exemplar-NYC PollenScape-describing its background, data, methods, and findings. A more general discussion of sociotechnical challenges in integrated data analytics for urban health follows. The paper concludes with a summary of key takeaways, current limitations, and future work.
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Lai, Y., & Stone, D. J. (2020). Data Integration for Urban Health. In Leveraging Data Science for Global Health (pp. 351–363). Springer International Publishing. https://doi.org/10.1007/978-3-030-47994-7_21
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