[READING RESPONSE] Crowd-sourcing and Open Street Maps

[eculler]

Check out this weeks reading discussion https://github.com/earthlab-education/Earth-Analytics-AY24/discussions/41

^{Originally posted by **eculler** August 27, 2024} Before class on Week 2 (September 4/5), read the following short articles, respond to them in this discussion thread, and prepare to discuss them in class: - [Revolutionizing the map](https://scitechdaily.com/revolutionizing-the-map-how-smartphones-and-crowdsourcing-are-redefining-geospatial-data/). You can also check out the original [review article](https://spj.science.org/doi/10.34133/remotesensing.0105) - [Open Street Maps -- How to contribute](https://wiki.openstreetmap.org/wiki/How_to_contribute) As a guide for your response, you can consider: - What are some of the benefits or drawbacks to crowd-sourced data? - As a data scientist, what are some things you should consider or account for when using crowd-sourced data? - How does crowd-sourced data relate to open science? How does it contribute to and/or complicate open science efforts?

[eculler]

/teamassign @earthlab-education/ea-students

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/assign @cmq879

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[eculler]

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/assign @WilliamBlacksmith