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Explore the theories and design principles of information infrastructures, focusing on generative technologies, architectures, and governance. Learn the key factors that lead to successful infrastructure evolution and innovation.
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INF5210 Overview & summary
Shaping the Evolution of Information Infrastructures:Architecture, Governance Regime, Process Strategy
Towards a Theory of Information Infrastructures A Theories of Information Infrastructures (Evolution & Design) Architecture Assemblage Theory Governance Process Strategies Complexity Science Actor Network Theory Reflexive Modernisation
Design theory • Kernel theory • Design principles and guidelines
II • Shared, open heterogeneous, evolving installed base. • Complexity • Emergence, path-dependence, non-liearity • Interactions between and propagation of side-effects • Self-reinforcing • Reflexivity
Infrastructure evolution • Evolution • Adoption • Scaling • Innovation • Harmonization/restructuring/consolidation • Crumbling/fragmentation
Innovation • Of, in, on • W. Brian Arthur • The nature of technology. What it is and how it evolves • Out of a material • (re-)combination • Structural deepening • Re-domaing
Design = installed base cultivationSuccessful information infrastructures=Generative information infrastructure
Generative Technology • ”.. A technology’s overall capacity to produce unprompted change driven by large, varied, and uncoordinated audiences.” • Capacity for leverage • Adaptability • Ease of mastery • Accessibility • Computers • PC & Internet • Opposite: Appliances • Telecom: intelligent network + appliances Department of Informatics
Generative Technology • ”.. A technology’s overall capacity to produce unprompted change driven by large, varied, and uncoordinated audiences.” • Capacity for leverage • Adaptability • Ease of mastery • Accessibility • Computers • PC & Internet • Opposite: Appliances • Telecom: intelligent network + appliances Department of Informatics
Generative infrastructure • = • Generative architecture • Generative governance regime • Generative process strategy • Generative fit
Requirements to II architectures • Bootstrapable, i.e. the architecture needs to make it possible to build the II in the first place. To achieve this, the solutions need to be simple and the architecture needs to enable the II to be developed by a small organization of low (organizational) complexity. • Aligned with the structures of an appropriate organization responsible for the operations of the II, i.e. the architecture needs to be operationable. • Flexible to enable experimental architecting and adaptable to new requirements as the II matures and scales. • Extensible to allow for new innovations extending the II.
Requirements to II architectures • Bootstrapable, i.e. the architecture needs to make it possible to build the II in the first place. To achieve this, the solutions need to be simple and the architecture needs to enable the II to be developed by a small organization of low (organizational) complexity. • Aligned with the structures of an appropriate organization responsible for the operations of the II, i.e. the architecture needs to be operationable. • Flexible to enable experimental architecting and adaptable to new requirements as the II matures and scales. • Extensible to allow for new innovations extending the II.
(Process) Strategy • Specification driven or evolutionary • Bootstrapping • Anticipatory standardization • Integrated applications • Flexible generification
Architecture • Loose or tight couplings/integration • Centralized or decentralized (end-2-end) • Platforms • INA/ACA • SPA/CSCA
Governance regime • Hierarcical organization, project management tools • Federated, distribution of decision rights • Digital commons, communication tools • Open source, wikipedia, …
Cases • Aims? (Harmonization, innovation ,,) • Process strategy, governance regime & archtecure changes over time • Bootstrapping, architectural innovation • Scaling, adoption, innovation