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Technoanthropology 1.0


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What is Technnoanthropology?

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Technoanthropology 1.0

  1. 1. Technoanthropology 1.0 Artur Serra Living Lab Group, Fundació i2cat IN3, April 4th, 2018
  2. 2. 2 Index • I. “Models of future, high tech and cultural tradition”. • II. The CMU “computer science” tribe. • III. The Net and the Lab: i2cat and Citilab • IV. The Collaboratory hipothesis. • IV. Conclusions: Building technoanthropology
  3. 3. I. “Models de futur, high tech and cultural tradition”
  4. 4. Models de futur, noves tecnologies i tradició cultural, Nov. 1988.
  5. 5. 6
  6. 6. What cognitive anthropology is all about? The study of cultures as “ shared knowledge” (Goodenough,Ward. 1971 Father of cognitive anthropology)
  7. 7. M.J. Buxó Prospectiva antropològica(1988) Cognitive Anthropology University of Barcelona Post-figurative cultures: Co-figurative Cultures Cultures prefiguratives: Mytho-poietic knowledge. Conceptual realism Logic-formal knowledge Mathematization of universe “Prospectiva antropológica”: The design of future alternatives”
  8. 8. Modes of cultures Post-figurative cultures. -Primitive and religious societies -Power in the hands of elders. -The pass tense, the langage of myths. Co-figurative cultures. -Modern industrial societies. -Power in the hands of peers. Nuclear family -The present tense. The world of today Pre-figurative cultures -Computer societies. -Young generation lives with different set of values than parents and grand-parents. -Future tense, pre-figuration as new cultural form.
  9. 9. Project “Sciences of design, High technologies and Cultural Tradition” (1990-1992)
  10. 10. Technoantropology Maria J. Buxó Angel Jordan (1992) “This is the study of technology as a cultural system….Technoantropology elaborates the expert systems of knowledge that help to develop the cultural design” “Design Culture” A. Serra 1992:5
  11. 11. Technology as cultural system
  12. 12. II. The “CoMputer University”
  13. 13. “Design Culture”: Ethnography of School of Computer Science. Carnegie Mellon, 1990-1993. 14 Projecte de recerca: “Ciènc del disseny, noves tecnologies i tradició cultural” (1990-93), finançat Pel Departament De Presidència de la Generalitat
  14. 14. 25 years of research projects
  15. 15. The “ARPA laboratories” Prior to 1965, there were no U.S. universities granting a Ph.D. in computer science. ´”Licklider, and his ARPA successors, provided funding for the research needed to create university graduate programs in computer science at U.C. Berkeley, CMU, MIT and Stanford. It wasn't until 1969 that Ph.D's in computer science were awarded”.
  16. 16. Departments of Computer Science. The “ARPA Labs”. 1960s # 1 Stanford University Stanford, CA # 2 Carnegie Mellon University Pittsburgh, PA # 3 Massachusetts Institute of Techn Cambridge, MA
  17. 17. “Computer Science as an artificial science”. 1988 18 - " Since computer science is an artificial science (Simon 1981) theoretical computer science plays a very different role within computer science than, say, theoretical physics plays within physics. - Theoretical physics seeks to understand the physical universe, which exists independently. Theoretical computer scientists seek to understand all possible architectures or algorithms, which computer scientists create themselves." - “The National Challenge in Computer Science and Technology” Computer Science and Technology Board, National Research Council, 1988.
  18. 18. A CMU’s computer scientist A science based not in discovery but in design. An engineering based not in know-how, but in theories. A theory validated not by facts, but by deeds. Not verification or falsation, but it works or it doesn’t. “Engineering as a knowledge”. Walter Vicenti. Stanford. 1990.
  19. 19. Under the inspiration of H. Simon and A. Newell, the leadership of R. Cyert and A. Jordan, “The role of design in Liberal/Professional Education” First university to have a Center for Design Of Educational Computing, conducted by Preston Covey, prof. of Applied Ethics.
  20. 20. “The scientists of the artificial” Alan TuringFrank Oppenheimer J. Von Neumann Claude Shannon WWII, Scientists became engineers, and the engineers, scientists..
  21. 21. Computer Science, a new discipline was born
  22. 22. Two different models of knowledge 2323 The traditional model: Science-Technology- Industry(Vanevar Bush) The mission-driven model: “High Tech” (Darpa) Science, Basic Research Technology, Applied Research Industry, Development Mission driven Research: Technology Research: Basic and Applied “Dual use Technology”: First defense, then commercial. ((
  23. 23. The Pasteur Quadrant Donal Stokes, 1997
  24. 24. Some examples: The Internet 26 “Mission-driven research” “Dual use technology”
  25. 25. Second: The self-driving car 27 Stanley, winner 2005 Sebastia Thrun, director AI Lab Stanford Univ.
  26. 26. 28 oordinating ole of White House
  27. 27. III. The Net and the Lab: i2cat and Citilab.
  28. 28. From ARPANET to the COLLABORATORY. The School of Computer Science of CMU established in 80s was part of the ARPANET, the computer scientists network that worked for ARPA. ARPANET was a network and a lab at the same time. Then the NSFNet came about in 90s William Wolff proposed the National Collaboratory, a center without walls. 1991 Finally, Tim Berners Lee invented the WWW as a kind of collaborative environment for the researchers. Then it comes the commercialization of the Internet.... We got the Net but we forgot the Lab.
  29. 29. What’s next? 90s. “Internet is for everyone” 2000s. “Innovation is for everyone”?
  30. 30. A vision: From an old textil factory to a citizen lab. 2002 2007
  31. 31. Citilab, a citizen laboratory (2007).
  32. 32. A People-Private-Public Partnership Amb el suport
  33. 33. Quadruple Helix model, opening the innovation systems Universities Governments Companies Citizens (Arnkil et al.,Exploring Quadruple Helix 2010)
  34. 34. Citilab’s way: Learning to innovate More than 35.515 uses/year 10.753 from iniciatives 22.681 from Citilabers 2.171 Students
  35. 35. Educate and train to innovate New craftsmen 22 Other example with Smart Citizens feature=player_embedded&v=62MWviz6_1A Learning by project example: wine fridge inside a PC BOX
  36. 36. Learning to innovate Edutech (1.474 students) Programing (Scratch) Robotics (Scratch for Artuino) Smart Citizen (co-creation apps with open API city) 22 3D Design APPs Results: Technical and scientific vocations connected with social vocations. Development of computational, logical thinking,problem solving and project-based learning. Learning 3D design, programming, robotics and Apps development Learning programming and robotics applied to the city.
  37. 37. Educate and train to innovate Smart citizens 2 People makes the City Smart! A lentil with legs or a Photoresistance? Kids making pilots Photoelectric effect consists in the emission of electrons from a material when you have an impact on a electromagnetic radiation (visible light)
  38. 38. Learning to innovate Smart citizens, SNAPPY by-edutec.html
  39. 39. ENoLL (2006)
  40. 40. Von Hippel, Democratizing Innovation. (2005)
  41. 41. IV. The collaboratory as hipothesis of technoanthropology
  42. 42. The world of Labs
  43. 43. IV. Building Technoanthropology as science of labs
  44. 44. From The Net To the Lab ICT Paradigm Electronics, Computers (Physicists+engineers) Computer Software (Mathematicians+engineering) (Internet, AI… Telcom engin, Cog Psy,+Math,+engineering) (Triple Helix,… ) Social networks (CS+social scientists) Industry 4.0 (CS+industrial engin…) Digital Social Innovation (CS+social scientists Digital arts and humanities. Quadruple Helix, Living Labs, Fablabs, Policy labs, Xlabs… 1971- 2008 2008 2030 Internet The Lab The Net 1980- 2008 Crack 2008
  45. 45. The Lab, Social Complex Innovative Systems LL science The Lab, Social Complex Innovative Systems LL science Two different types of technologies in each technology era The industrial machine Industrial Engineering The Factory The Industrial Management The Net Computer science Industrial era Digital era
  46. 46. “Sciences of artificial” are now called Synthetic Sciences
  47. 47. 79 Human are begining to program nature using synthetic sciences. The problem now is to know if sapiens will also be able of transform itself with the rest of nature for good. Synthetic social sciences: disciplines dedicate to augment our knowledge about what kind of social and cultural systems are possible and how to build them for good. The Anthropocen: Is it time for synthetic human sciences?
  48. 48. The right to innovate Building technoethics What kind of human rights do we generate in the digital era? Is it the right to innovate a new human right? How different culture see this new right?
  49. 49. Herb Simon’s last lesson
  50. 50. Moltes gràcies