Title	and Walter Lasecki: Real-time Crowdsourcing
Creator	Bigham, Jeff
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-08-29T12:15
Description	Crowdsourcing makes it possible for systems to solve problems beyond the current reach of automation alone. However, traditional approaches to crowdsourcing have limited the scope of such systems to those that draw on human intelligence only through offline (non time-dependent) microtasks. This workshop will cover tools and techniques for quickly recruiting workers, routing them to tasks, and keeping them engaged for longer periods of time, so that tasks that require low-latency responses can benefit from human computation. Participants will learn the underlying theory, intuition behind approaches, and specific methods for integrating crowdsourcing into real-time systems in any domain.
Extent	38 minutes
Subject	Mathematics; Game theory, economics, social and behavioral sciences; Computer science; Applied computer science
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Carnegie Mellon University
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2017-06-20
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0348358
URI	http://hdl.handle.net/2429/62040
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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and Walter Lasecki: Real-time Crowdsourcing Bigham, Jeff

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