Design-Computational Thinking, Transfer and Flavors of Reuse: Scaffolds to Information and Data Science for Sustainable Systems in Smart Cities
- Resource Type
- Conference
- Authors
- Lee, Chien-Sing; Wong, K. Daniel
- Source
- 2018 IEEE International Conference on Information Reuse and Integration (IRI) IRI Information Reuse and Integration (IRI), 2018 IEEE International Conference on. :225-228 Jul, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Creativity
Information systems
Tools
Project management
Navigation
Systematics
Smart cities
Technology and Engineering Management
design centering
creativity
reuse, integration
- Language
This paper investigates how to increase understanding of design and sustainable systems by scaffolding cognitive access and transfer of learning using eclectic approaches to experiment with networks of design potentials. Cognitive access simulates multi-criteria case indexing, refined from knowledge induction derived from analyses of random but related cases based on search strategies. Randomization of the search space encourages emergence of heuristic solutions, fuzzy though informed transfers and further refinement of schema. We investigate the type of navigational structures/design resulting from creative reuse/refactoring and lean management; and whether there will be evidences of knowledge induction from randomized search scaffolded by Case-based Reasoning (CBR), which leads to heuristic transfer and learning. Examples from two courses carried out August-December 2017 within the participatory design-agile framework for engagement in Smart Cities are assessed for creative reuse regarding: a) people, process and tools; b) domain engineering; c) component mining and d) open source vs. systematic reuse. Findings confirm longitudinal insights: CBR-informed but emergent search leading to more efficient and higher quality heuristic transfer and learning is scaffolded by systemic modelling and design dependent on four factors.