1 / 11

INF 5210 Information Infrastructures & Complexity Assemblage Theory & Complexity Science

INF 5210 Information Infrastructures & Complexity Assemblage Theory & Complexity Science. Assemblage Theory. Assemblages of assemblages Properties, tendencies, capacities to interact Material-expressive roles Stabilizing – de-stabilizing processes. Complexity.

maritzak
Download Presentation

INF 5210 Information Infrastructures & Complexity Assemblage Theory & Complexity Science

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. INF 5210Information Infrastructures&ComplexityAssemblage Theory & Complexity Science

  2. Assemblage Theory • Assemblages of assemblages • Properties, tendencies, capacities to interact • Material-expressive roles • Stabilizing – de-stabilizing processes

  3. Complexity • Complexity: Socio-technical (Internet, globalization) • Complexity (-ies) = Number of types of components*number of types of links*speed of change • Key issues: emergence, side-effects (=history), incomplete knowledge, unpredictability, out-of-control • Complexity theories • Actor network theory: • Socio-technics • Order’s disorder • Complexity Science: self-reinforcing processes, driven by side-effects (network externalities) • Reflexive Modernization: Self-destructive processes • Assemblage Theory: stabilizing and destabilizing processes

  4. Examples • Emergence of order • New species: Panda with thumb • Order in a beehive • De-facto standard (TCP/IP, Windows, QWERTY ..) • Arab spring • Financial crises • Climate change

  5. Complexity & Control/Risk • Complexity = limited knowledge/understanding = risk • Charles Perrow: Normal Accidents Theory • Chemical plants, air traffic control, nuclear power plants, .. • Tight couplings • Interactive complexity • Risk management/mitigation = reducing complexity • Internet resilience

  6. Complexity Science • Origin: Natural sciences, economic (history) • Autonomous systems • Emergent order (not designed) • Non-linearity • Network externalities • Increasing returns/Attractor • Path dependency • Diffusion of standards, competition • Change of standards: Backward compatibility • Chain of events • Lock-ins • Historical evolution • Installed base as complex system

  7. A self-reinforcing installed base ).

  8. ’Multidimensional’ critical mass • Granovetter’s pedestrians: distribution of individual preferences. • Diversity of users (motivation, knowledge, style, …) • Heterogeneity of use areas and of technologies. • Networks of networks

  9. Design dilemmas • Take-off • Lock-in

  10. Design challenges • Internet, EDI/message exchange: • Corporate infrastructures • Groupware: Take-off & lock-ins • Application portfolios: Lock-in • From proprietary (IBM, Microsoft,..) to open (Linux, Internet, ..) • The legacy systems problem

  11. Some examples • Internet • Internet standards • Windows and Microsoft • Google • Standards wars • OSI (X.25) – Internet (TCP/IP) • Netscape - Explorer • Ecology wars: Apple, Google, Nokia/MS

More Related