Title	Crowd-Powered Data Management
Creator	Parameswaran, Aditya
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-08-30T09:46
Description	The data management community has been historically (and perhaps myopically) focused on processing SQL queries on ever larger datasets : what does this have to do with crowdsourcing? This tutorial will convey how it helps to think of humans as relational data processors for the purpose of designing optimized crowd-powered algorithms and systems, in order to generate or process orders of magnitude more data at the same cost and same accuracy. The tutorial will also cover how the crowdsourcing work done by the data management community fits in with the other communities, its successes and failures, and open questions and potential opportunities for collaboration.
Extent	33 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: University of Illinois - Urbana-Champaign
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2017-02-28
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0343033
URI	http://hdl.handle.net/2429/60751
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Researcher
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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Crowd-Powered Data Management Parameswaran, Aditya

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