Laurence Horton@laurencedata

Anticipating today's @LSEpublicevents. @kenbenoit on "The Challenge of Big Data for the Social Sciences". #LSEdata  http://www.lse.ac.uk/publicEvents/events/2015/02/20150216t1830vHKT.aspx …

Mon, Feb 16 2015 12:32:26

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https://twitter.com/laurencedata/status/567300468658159617

— Laurence Horton (@laurencedata)Mon, Feb 16 2015 12:32:26

Matthew Bui@matthew_bui

Interested to hear @kenbenoit present critical questions to ask regarding #bigdata for the social sciences. T-minus 30 min... #LSEdata

Mon, Feb 16 2015 17:59:49

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https://twitter.com/matthew_bui/status/567382860102127616

— Matthew Bui (@matthew_bui)Mon, Feb 16 2015 17:59:49

Matthew Bui@matthew_bui

The room for #LSEdata is at capacity for the Inagaural Lecture on #bigdata & its challenges for the social sciences.

Mon, Feb 16 2015 18:29:07

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https://twitter.com/matthew_bui/status/567390232795185153

— Matthew Bui (@matthew_bui)Mon, Feb 16 2015 18:29:07

Nicola Wright@NCWright06

Big audience for The challenge of big data for the social sciences #LSEdata

Mon, Feb 16 2015 18:29:13

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https://twitter.com/NCWright06/status/567390258539798528

— Nicola Wright (@NCWright06)Mon, Feb 16 2015 18:29:13

Marta García Aliaga@Martha_Stern

Excited at #LSEdata. About to listen to Kennet Benoit and Kenneth Cukier re big data & social sciences. Missing a woman in the panel tho!

Mon, Feb 16 2015 18:30:56

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https://twitter.com/Martha_Stern/status/567390687642275840

— Marta García Aliaga (@Martha_Stern)Mon, Feb 16 2015 18:30:56

Joanna J Bryson@j2bryson

Attending @kenbenoit ’s @LSEpoliticsblog Inaugural #LSEdata Challenge of Big Data for Soc Sci @j2blather may have observations about this

Mon, Feb 16 2015 18:30:58

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https://twitter.com/j2bryson/status/567390697826025475

— Joanna J Bryson (@j2bryson)Mon, Feb 16 2015 18:30:58

Joanna Bryson 2@j2blather

#LSEdata Benoit: tweets have so much metadata they are 2.5Kbytes each, so Apollo computers that got to moon could only store 6 tweets.

Mon, Feb 16 2015 18:35:56

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https://twitter.com/j2blather/status/567391946420023298

— Joanna Bryson 2 (@j2blather)Mon, Feb 16 2015 18:35:56

Hilary Stauffer@HilaryStauffer

Prof @kenbenoit discusses #BigData: computing power that supports @twitter far outstrips that which supported mission to the moon. #LSEdata

Mon, Feb 16 2015 18:36:36

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https://twitter.com/HilaryStauffer/status/567392115156852736

— Hilary Stauffer (@HilaryStauffer)Mon, Feb 16 2015 18:36:36

Matthew Bui@matthew_bui

"When we say big, we mean BIG... Millions, billions of bits in data" #bigdata @kenbenoit #LSEdata

Mon, Feb 16 2015 18:37:45

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https://twitter.com/matthew_bui/status/567392402315689984

— Matthew Bui (@matthew_bui)Mon, Feb 16 2015 18:37:45

Jared Foley@jaredfoley

At LSE to hear @kncukier talk big data. Jealous, @tableau @MarlinPR ? #LSEdata

Mon, Feb 16 2015 18:34:44

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https://twitter.com/jaredfoley/status/567391644786651137

— Jared Foley (@jaredfoley)Mon, Feb 16 2015 18:34:44

Joanna Bryson 2@j2blather

#LSEdata I agree with Benoit, social sciences are the next frontier for computer science after neuroscience, genomics, & first off physics.

Mon, Feb 16 2015 18:41:52

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https://twitter.com/j2blather/status/567393438321377280

— Joanna Bryson 2 (@j2blather)Mon, Feb 16 2015 18:41:52

Hilary Stauffer@HilaryStauffer

Prof @kenbenoit discusses #BigData: computing power has advanced so much we can sequence entire human genome in 3 days. (!!!) #LSEdata

Mon, Feb 16 2015 18:42:21

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https://twitter.com/HilaryStauffer/status/567393562539851777

— Hilary Stauffer (@HilaryStauffer)Mon, Feb 16 2015 18:42:21

Nicola Wright@NCWright06

How do we generate knowledge from Big Data? Benoit #LSEdata

Mon, Feb 16 2015 18:47:12

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https://twitter.com/NCWright06/status/567394782893588480

— Nicola Wright (@NCWright06)Mon, Feb 16 2015 18:47:12

Matthew Bui@matthew_bui

There's a need for careful consideration of predictors, not letting computers determine them @kenbenoit #LSEdata #bigdata

Mon, Feb 16 2015 18:52:09

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https://twitter.com/matthew_bui/status/567396027205189632

— Matthew Bui (@matthew_bui)Mon, Feb 16 2015 18:52:09

Joanna Bryson 2@j2blather

#LSEdata Benoit: need to have theory underlying model. shows fail in netflix too many vars, causality fail on FB correlating with divorce

Mon, Feb 16 2015 18:52:11

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https://twitter.com/j2blather/status/567396035367284736

— Joanna Bryson 2 (@j2blather)Mon, Feb 16 2015 18:52:11

Laurence Horton@laurencedata

Benoit: 1st challenge of big data: emphasis on predictions not causal relationships. #LSEdata

Mon, Feb 16 2015 18:52:41

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https://twitter.com/laurencedata/status/567396162458906625

— Laurence Horton (@laurencedata)Mon, Feb 16 2015 18:52:41

Laurence Horton@laurencedata

Benoit: Second challenge: never make inferences from data without understanding process of generating data #LSEdata

Mon, Feb 16 2015 18:55:43

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https://twitter.com/laurencedata/status/567396925205663744

— Laurence Horton (@laurencedata)Mon, Feb 16 2015 18:55:43

Joanna Bryson 2@j2blather

#LSEdata Benoit: classic sampling takes random subset bc no resources for all. N=All fallacy: believing no need to risk sampling error.

Mon, Feb 16 2015 18:56:58

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https://twitter.com/j2blather/status/567397239631642625

— Joanna Bryson 2 (@j2blather)Mon, Feb 16 2015 18:56:58

Joanna J Bryson@j2bryson

@_bandwagonesque #lsedata no, he's refuting that belief as fallacious

Mon, Feb 16 2015 19:00:53

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https://twitter.com/j2bryson/status/567398224659771392

— Joanna J Bryson (@j2bryson)Mon, Feb 16 2015 19:00:53

Joanna Bryson 2@j2blather

#LSEdata Benoit: N=All is fallacious, can still get sampling bias with big data, e.g. who uses social media.

Mon, Feb 16 2015 19:01:35

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https://twitter.com/j2blather/status/567398401567129600

— Joanna Bryson 2 (@j2blather)Mon, Feb 16 2015 19:01:35

Laurence Horton@laurencedata

Benoit: 3rd challenge: Different sources require different modes of understanding #LSEdata

Mon, Feb 16 2015 19:02:14

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https://twitter.com/laurencedata/status/567398565887377408

— Laurence Horton (@laurencedata)Mon, Feb 16 2015 19:02:14

Joanna Bryson 2@j2blather

#LSEdata Benoit: data is not neutral, observer cannot be separated from analysis–standard Social Science needed the more so for #BigData

Mon, Feb 16 2015 19:02:55

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https://twitter.com/j2blather/status/567398738625564672

— Joanna Bryson 2 (@j2blather)Mon, Feb 16 2015 19:02:55

Matthew Bui@matthew_bui

Cannot make inferences on #bigdata w/o considering how data was generated & the sampling of data. Myth of "n = all" @kenbenoit #LSEdata

Mon, Feb 16 2015 18:56:37

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https://twitter.com/matthew_bui/status/567397154395025408

— Matthew Bui (@matthew_bui)Mon, Feb 16 2015 18:56:37

Matthew Bui@matthew_bui

.@kenbenoit compares grounded theory & qualitative methodology to #datascience #LSEdata

Mon, Feb 16 2015 19:05:05

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https://twitter.com/matthew_bui/status/567399282400305152

— Matthew Bui (@matthew_bui)Mon, Feb 16 2015 19:05:05