John Snow teaching resources: data, scripts, papers, and presentation

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Julia Koschinsky

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Sep 28, 2020, 4:43:02 PM9/28/20
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Dear all,


As part of our new spatial insights project at CSDS, we developed resources for teaching and learning ESDA in GeoDa using the John Snow cholera case (specifically the Broad St pump and Grand Experiment cases). Thanks to Marcos Falcone for taking the lead on this. 


The initial set of resources are available now! They include data (including subdistrict boundaries for the Grand Experiment case), extensive documentation, and GeoDa implementation scripts. For background about the research problem, the competing hypotheses, the research design, and testing, Marcos also prepared a storymap and video.


Here are the main resource links:

Background:

We’re also working on supplementary resources, including details on Snow’s quasi-experimental research designs (Albion Terrace, Broad St Pump and Grand Experiment), and using Sherlock Holmes’ stories to illustrate scientific reasoning. Many thanks to Tom Coleman and Peter Vinten-Johansen for their expert advice throughout this project.

Presentation by Tom Coleman

If this topic interests you, please join us for Tom Coleman’s CSDS study group presentation on Tuesday, Oct 13 (9-11am CT): John Snow and Cholera: Revisiting Difference-in-Differences and Randomized Trials in Medical ResearchTom is back by popular demand after presenting part 1 of his research on Snow at our winter study group. 


Zoom Info:


Links to Tom's Papers + Teaching Resources:

2020: https://papers.ssrn.com/abstract=3696028 "John Snow, Cholera, and South London Reconsidered"

2019: https://papers.ssrn.com/abstract=3262234 "Causality in the Time of Cholera: John Snow As a Prototype for Causal Inference”

https://github.com/tscoleman/SnowCholera


Fall CSDS study group schedule (all remote - same URL as above):


Let us know if you have any feedback,
Julia and Marcos

Julia Koschinsky, Ph.D.
Executive Director
Center for Spatial Data Science
University of Chicago



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