Successful crowdsourcing projects help organizations connect with audiences who enjoy engaging with their content and tasks, whether transcribing handwritten documents, correcting OCR errors, identifying animals on the Serengeti or folding proteins. Conversely, poorly-designed crowdsourcing projects find it difficult to attract or retain participants. This class will present international case studies of best practice crowdsourcing projects to illustrate the range of tasks that can be crowdsourced, the motivations of participants and the characteristics of well-designed projects. We’ll study crowdsourcing projects from the worlds of citizen science, investigative journalism, genealogy and free culture to look for lessons which might apply to humanities projects. We’ll discuss models for quality control over user-generated projects, explore the cross-overs between traditional in-house volunteer projects internet-enabled crowdsourcing, and look at the numbers behind real-world projects. Finally, the course will give students hands-on experience with several different crowdsourcing platforms for image annotation, manuscript transcription, and OCR correction. Students are encouraged to bring their project ideas and some scanned material for the lab sessions.
The Course Syllabus and Slide Decks are available for download via Dropbox. The Course Reading List is available for download via Dropbox.
3252 Tawes Fine Arts Building