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Bowdoin: Data Driven Socities 2014 - On Digital Publics of Opening…or Not 2/17/14

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Department of Geography, University of Kentucky
Department of Geography, University of Kentucky

Data Driven Societies Digital & Computational Studies Bowdoin College February 17, 2014 Professors Gieseking & Gaze Lecture Slides "On Digital Publics of Opening…or Not"

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Data Driven Societies: On Digital Publics of Opening…or Not Professors Gaze & Gieseking
Announcements! ✦ Hackathons: 2/26 or 4/23 from 6-9pm, VAC 3rd fl. (must attend at least one) ! ✦ Field trip 2/28 at 11am-1.30pm, need IDs ! ✦ Time to check on the data: download this week’s ScraperWiki senaiben.org
Data & Information (Recap) ✦ Information society ! ✦ Data vs. information ! ✦ Information-as-freedom vs. information-as-control
Big Data & Privacy (recap) ✦ Ethical research ! ✦ Data sample and data access ✦ Firehose, gardenhose, spritzer ✦ API ! ✦ Defining big data, defining privacy daily.captaindash.com
Searching the Engine / for Privacy (recap) ✦ Filter bubble, machine learning, privacy ✦ Team exercise on blog posts ✦ Begin lab ✦ Quiz
What Does It Mean to Go Public? mappingbooks.blogspot.com
What Does It Mean to Go Public? srogers.carto.db
Representing Representation ✦ 2-3 minutes: present you peer’s research based on her or his representation post ✦ 1 minute rebuttal: add anything else you want to ! When you are all complete, discuss: ✦ What surprised (or not) you about what you heard? ✦ What trends do you see developing across your hashtag theme? What is specific to you? ✦ What trends do you think could be explored further in your peers’ hashtag analysis in the future? And in your own future analysis?
Next Class: Feb. 17 Today: going public 101 ✦ ! Quiz: terms / concepts coming via email ✦ ! Readings: Donovan, Grossman, Odewahn — NOTE SYLLABUS CHANGE! ✦ ! ✦ Next class/lab: ✦ publicness, proprietary ecologies ✦ t-tests & Beysian stats intro
Social Scientific Approach 0. Identify an issue 1. Research question 2. Theoretical approach 3. Literature review 4. Methods 5. Analysis 6. Discussion 7. Conclusion
Digital Natives, a.k.a. Digitized American Youth ✦ 77% have a cell phone ✦ 95% have internet access ✦ 80% with internet access use social media ✦ Average of 3,417 texts per month from the Pew Internet & American Life Project 2011-2012 digitalfamiysummit.com
MyDigitalFootprint.org mydigitalfoorprint.org
Opening Proprietary Ecologies ✦ 77% have a cell phone ✦ 95% have internet access ✦ 80% with internet access use social media ✦ Average of 3,417 texts per month from the Pew Internet & American Life Project 2011-2012
ScraperWiki Support A clever and elegant solution to our problem of accessing Twitter data with a limited number of calls: ! 1. Open ScraperWiki and view your table ! 2. Download EVERY MONDAY ! 3. Restart EVERY MONDAY (you will need to do this the first Monday of break too)
Interpretation is Inevitable & Essential All researchers are interpreters of data. … Interpretation is the center of data analysis. -boyd & Crawford (2012) ! Interpretation - the act of explaining meaning, i.e., transforming data into information and information into knowledge
Interpretation is… ! ! ✦ Design decisions grow from what is measured ✦ Limitation and bias lead to misinterpretation ✦ Can we transcend subjectivity? Can we ever be truly objective?

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Bowdoin: Data Driven Socities 2014 - On Digital Publics of Opening…or Not 2/17/14

  • 1. Data Driven Societies: On Digital Publics of Opening…or Not Professors Gaze & Gieseking
  • 2. Announcements! ✦ Hackathons: 2/26 or 4/23 from 6-9pm, VAC 3rd fl. (must attend at least one) ! ✦ Field trip 2/28 at 11am-1.30pm, need IDs ! ✦ Time to check on the data: download this week’s ScraperWiki senaiben.org
  • 3. Data & Information (Recap) ✦ Information society ! ✦ Data vs. information ! ✦ Information-as-freedom vs. information-as-control
  • 4. Big Data & Privacy (recap) ✦ Ethical research ! ✦ Data sample and data access ✦ Firehose, gardenhose, spritzer ✦ API ! ✦ Defining big data, defining privacy daily.captaindash.com
  • 5. Searching the Engine / for Privacy (recap) ✦ Filter bubble, machine learning, privacy ✦ Team exercise on blog posts ✦ Begin lab ✦ Quiz
  • 6. What Does It Mean to Go Public? mappingbooks.blogspot.com
  • 7. What Does It Mean to Go Public? srogers.carto.db
  • 8. Representing Representation ✦ 2-3 minutes: present you peer’s research based on her or his representation post ✦ 1 minute rebuttal: add anything else you want to ! When you are all complete, discuss: ✦ What surprised (or not) you about what you heard? ✦ What trends do you see developing across your hashtag theme? What is specific to you? ✦ What trends do you think could be explored further in your peers’ hashtag analysis in the future? And in your own future analysis?
  • 9. Next Class: Feb. 17 Today: going public 101 ✦ ! Quiz: terms / concepts coming via email ✦ ! Readings: Donovan, Grossman, Odewahn — NOTE SYLLABUS CHANGE! ✦ ! ✦ Next class/lab: ✦ publicness, proprietary ecologies ✦ t-tests & Beysian stats intro
  • 10.
  • 11. Social Scientific Approach 0. Identify an issue 1. Research question 2. Theoretical approach 3. Literature review 4. Methods 5. Analysis 6. Discussion 7. Conclusion
  • 12. Digital Natives, a.k.a. Digitized American Youth ✦ 77% have a cell phone ✦ 95% have internet access ✦ 80% with internet access use social media ✦ Average of 3,417 texts per month from the Pew Internet & American Life Project 2011-2012 digitalfamiysummit.com
  • 14. Opening Proprietary Ecologies ✦ 77% have a cell phone ✦ 95% have internet access ✦ 80% with internet access use social media ✦ Average of 3,417 texts per month from the Pew Internet & American Life Project 2011-2012
  • 15. ScraperWiki Support A clever and elegant solution to our problem of accessing Twitter data with a limited number of calls: ! 1. Open ScraperWiki and view your table ! 2. Download EVERY MONDAY ! 3. Restart EVERY MONDAY (you will need to do this the first Monday of break too)
  • 16. Interpretation is Inevitable & Essential All researchers are interpreters of data. … Interpretation is the center of data analysis. -boyd & Crawford (2012) ! Interpretation - the act of explaining meaning, i.e., transforming data into information and information into knowledge
  • 17. Interpretation is… ! ! ✦ Design decisions grow from what is measured ✦ Limitation and bias lead to misinterpretation ✦ Can we transcend subjectivity? Can we ever be truly objective?