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Bowdoin: Data Driven Societies: Visualizing Social Life (When They Let You)


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Data Driven Societies
Digital & Computational Studies
Bowdoin College
April 14, 2014
Professor Gieseking

Lecture Slides "Visualizing Social Life (When They Let You)"

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Bowdoin: Data Driven Societies: Visualizing Social Life (When They Let You)

  1. 1. Data Driven Societies: Visualizing Social Life (When They Let You) Professors Gieseking & Gaze
  2. 2. Recap: Cyborg Embodiment • Cyborg - closing gap between human and machine • Big data vs. small data of health care (Neff) • Ex. Quantified Self • Social network analysis (SNA): marketing, organizational effectiveness, disease outbreaks, uncover fraud, disrupt terrorist networks (Krebs)
  3. 3. SNA with Gephi
  4. 4. Hacking.
  5. 5. Doubting Hackers
  6. 6. The other side of hacking.
  7. 7. ✦ Biella Coleman: anthropologist in STS, ethnographer of Anonymous ✦ Determines respect is earned with Anonymous:: informal, spontaneous, playful, and even lewd speech engaging in activist interventions, some of which are risky and illegal Getting to Know You: Anonymous
  8. 8. ✦ Does earning respect of a marginalized group make us a member of the group? ✦ Questions the borderlands between researched and researched once you become part of the field ✦ Ethnographer speaks to private lives of individuals to the public masses Am I Anonymous?
  9. 9. ✦ “Code as speech” ethical, legal, cultural ramifications of restructuring ✦ F/OSS developers explore, contest, specify meaning of liberal freedom via free speech and development of new tools, legal and technical ✦ How these developments bolster legal expertise Coding Freedom
  10. 10. Yet another side of hacking.
  11. 11. Yet another side of hacking.
  12. 12. OLPC
  13. 13. These Kids Today ✦ 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
  14. 14. “Cookie Monsters” ✦ Katz & Donovan confront anxiety around children’s and youth’s use of computers: ✦ 1980s: Children can overcome being programmed by a computer by learning to code ✦ 2000s: No Child Left Behind routinized exams over experiential learning with tech
  15. 15. Hacking Cookie Monsters ✦ Hacking - play, curious exploration, or as a puzzle solution that helps young people to better understand and control their environments (technological and otherwise) —> hacking emerges as a site of invention and discovery as well as resistance to various technological fetters (p. 198)
  16. 16. Ethics of Teaching Our Little Monsters to Hack ✦ Children learn best from collaboration and exploration ✦ Questions what normative values are reproduced by installing proprietary software over F/OSS ✦ Kids as “emerging market” - educational vs. vocational machine eliminates import of play a la John Dewey ✦ Exports Western economies/ideas on to Global South for free (for now) ✦ Dovetailed on “exam economies”
  17. 17. OLPC Goes Global!
  18. 18. OLPC Goes Global?
  19. 19. Our own expert.
  20. 20. Hacking in Maine. No. Really.
  21. 21. Local Wee Hackers ✦ Maine Learning Technology Initiative ✦ Created 2001 and reissues and expanded since then ✦ Now 29,000 laptops at use by 7th and 8th graders across Maine, nights and weekends ✦ Contract was with Apple, now signed with HP in 2013 ✦ Outcomes to date Create better writers Tech literacy improved No discernable effect on test scores
  22. 22. Next Class: Apr. 16 ✦ Today: visualizing social life (when they let you) ! ✦ Readings: Perer, Golbeck ! ✦ Lab: 4/16 ggplot2, part deux ! ✦ Hackathon 4/23(!) ! ✦ DCSI lectures: David Stork on 4/21, Matt Wilson on 4/28 (req’d)