Future of GIScience

Oct-31 : In this lesson, we will discuss future directions in spatial data science and careers.

As week in which a reanalysis is being finished, there is no assigned discussion blog. We will start with a discussion of one of the aspirational readings listed below. Instead of having any required reading, you may work on your Spielman et al Reproduction. Following discussion, we may invite a guest speaker, or jump into an introduction to network analysis.

Slides (class access only)

Readings

1. Wang, S. (2019). Cyberinfrastructure. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2019 Edition), John P. Wilson (Ed.). https://doi.org/10.22224/gistbok/2019.2.4 * This reading is a website, not a PDF.

References

• Nelson, T. A., Goodchild, M. F., & Wright, D. J. (2022). Accelerating ethics, empathy, and equity in geographic information science. Proceedings of the National Academy of Sciences of the United States of America, 119(19). https://doi.org/10.1073/pnas.2119967119
• Rey, S. J. (2022). Big Code. Geographical Analysis, 1–14. https://doi.org/10.1111/gean.12330

Resources

• The closest thing at Middlebury is the High-Performance Computing Cluster
• The cyberGIS developed by S. Wang and others is CyberGISX

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