crowds, clouds, and algorithms: exploring the human side of “big data”

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Crowds, Clouds, and Algorithms: Exploring the Human Side of “Big Data” Panelists: Sihem Amer-Yahia (Yahoo! Research) AnHai Doan (Wisconsin) Jon Kleinberg (Cornell) Nick Koudas (U. Toronto and Sysomos) Moderator: Michael Franklin (UC Berkeley and Truviso)

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Panelists: Sihem Amer-Yahia (Yahoo! Research) AnHai Doan (Wisconsin) Jon Kleinberg (Cornell) Nick Koudas (U. Toronto and Sysomos ) Moderator: Michael Franklin (UC Berkeley and Truviso ) SIGMOD 2010. Crowds, Clouds, and Algorithms: Exploring the Human Side of “Big Data”. - PowerPoint PPT Presentation

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Page 1: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

Crowds, Clouds, and Algorithms:Exploring the Human Side of “Big Data”

Panelists:

Sihem Amer-Yahia (Yahoo! Research)

AnHai Doan (Wisconsin)

Jon Kleinberg (Cornell)

Nick Koudas (U. Toronto and Sysomos)

Moderator:

Michael Franklin (UC Berkeley and Truviso)

SIGMOD 2010

Page 2: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

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Computing as a Commodity

Page 3: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

Billions of Devices

Page 4: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

Ubiquitous Connectivity

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Page 5: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

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Making Sense of “Big Data”

Machine Learning and

Data Analytics

Cloud ComputingCrowdSourcing

Massive and

DiverseData

Page 6: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

Participatory Culture - Direct

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Page 7: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

Participatory Culture – “Indirect”

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John Murrell: GM SV 9/17/09

…every time we use a Google app or service, we are working on behalf of the search sovereign, creating more content for it to index and monetize or teaching it something potentially useful about our desires, intentions and behavior.

Page 8: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

Grand Challenges and Killer Apps?

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Page 9: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

Example: Hybrid Systems w/Mechanical Turk

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From: Yan, Kumar, Ganesan, CrowdSearch: Exploiting Crowds for Accurate Real-time Image Search on Mobile Phones, Mobisys 2010.

Page 10: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

The Panel

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• Distinguished Panelists:• Sihem Amer-Yahia (Yahoo! Research)• AnHai Doan (Wisconsin)• Jon Kleinberg (Cornell)• Nick Koudas (U. Toronto and Sysomos, Inc.)

• Overview (almost done!)• Panelist Statements

• People involved throughout the whole data lifecycle• What are “Grand Challenges”?• and/or one “Killer App” for Hybrid Cloud/Crowd

computing.

• Questions, Comments, Lots of Interaction

Page 11: Crowds, Clouds, and Algorithms: Exploring the Human Side of  “Big Data”

Save the Date(s): CIDR 2011 Conference

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• Abstracts Due: Sept 24, 2010• Papers Due: October 1, 2010• Focus: innovative and visionary approaches to

data systems architecture and use. • Regular CIDR track plus CCC-sponsored

“outrageous ideas” track.• Website coming soon!

5th Biennial Conference on Innovative Data Systems Research

CIDR 2011 Jan 9-12 Asilomar, CA