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A Case Study of Crowdsourcing Imagery Coding in Natural Disasters

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Date

2017

Authors

Smith, Cobi

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Verlag

Abstract

Crowdsourcing and open licensing allow more people to participate in research and humanitarian activities. Open data, such as geographic information shared through OpenStreetMap and image datasets from disasters, can be useful for disaster response and recovery work. This chapter shares a real-world case study of humanitarian-driven imagery analysis, using open-source crowdsourcing technology. Shared philosophies in open technologies and digital humanities, including remixing and the wisdom of the crowd, are reflected in this case study.

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Keywords

Citation

URI

http://hdl.handle.net/1885/117942

Collections

ANU Research Publications

Source

Type

Book chapter

Book Title

Data Analytics in Digital Humanities

Entity type

Access Statement

Open Access via publisher website
Open Access

License Rights

DOI

10.1007/978-3-319-54499-1_9

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01_Smith_Crowdsourcing Imagery Coding in Natural Disasters_2017.pdf (313.07 KB)

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