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Layering Common Sense
on Top of All That Rocket Science
Dr. Sharon Dunwoody
University of Wisconsin-Madison
USA
1
WKWSCI
SYMPOSIUM
2014
Big Data, Big Ideas for Smarter Communities
Big data
• Data sets that are too big to be handled by
regular storage and processing infrastructures
2
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
An explosion of big data in all fields
• Physicists
• Ecologists
• Social scientists
• Journalists
• Humanists
3
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
4
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
Advantages
• Data gathering is unobtrusive
• Important patterns may be visible from 30,000
feet up
• Can capture change over time
5
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
Boyd, D & Crawford, K (2012)
Critical questions for big data
Information, Communication &
Society 15:5, 662-679, DOI:
10.1080/1369118X.2012.6788
78WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
Automating research changes
the definition of knowledge
7
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
Objectivity and accuracy continue
to be elusive
8
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
Bigger data are not always better data
9
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
Accessible data may not
be ethical data
10
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
The best antidote for possible
misinterpretations?
11
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities
Andrew Ross Sorkin
New York Times
The greatest challenge of Big
Data—especially social
media—is separating the
signal from all the noise.
Media Report/Big (Bad) Data
26 February 2014
blogs.nytimes.com
12
WKWSCI SYMPOSIUM 2014
Big Data, Big Ideas for Smarter Communities

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Layering Common Sense on Top of all that Rocket Science by Prof. Sharon Dunwoody

  • 1. Layering Common Sense on Top of All That Rocket Science Dr. Sharon Dunwoody University of Wisconsin-Madison USA 1 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 2. Big data • Data sets that are too big to be handled by regular storage and processing infrastructures 2 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 3. An explosion of big data in all fields • Physicists • Ecologists • Social scientists • Journalists • Humanists 3 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 4. 4 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 5. Advantages • Data gathering is unobtrusive • Important patterns may be visible from 30,000 feet up • Can capture change over time 5 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 6. Boyd, D & Crawford, K (2012) Critical questions for big data Information, Communication & Society 15:5, 662-679, DOI: 10.1080/1369118X.2012.6788 78WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 7. Automating research changes the definition of knowledge 7 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 8. Objectivity and accuracy continue to be elusive 8 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 9. Bigger data are not always better data 9 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 10. Accessible data may not be ethical data 10 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 11. The best antidote for possible misinterpretations? 11 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 12. Andrew Ross Sorkin New York Times The greatest challenge of Big Data—especially social media—is separating the signal from all the noise. Media Report/Big (Bad) Data 26 February 2014 blogs.nytimes.com 12 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities