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. Data Driven Societies: Visualizing Social Life (When They Let You) Professors Gieseking & Gaze
- 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)
- 4. Hacking.
- 6. The other side of hacking.
- 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. ✦ 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. ✦ “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 http://codingfreedom.com/
- 10. Yet another side of hacking.
- 11. Yet another side of hacking.
- 12. OLPC
- 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 digitaltrends.com
- 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. 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) troyhunt.com
- 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”
- 19. Our own expert.
- 20. Hacking in Maine. No. Really.
- 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. 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)