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Guest Editorial: Special issue on Engineering Informatics

The paper titled “Engineering Complex, Information-based,Networked Industrial Systems: A Research Roadmap” by Albert Jones et al argues for a new and different approach to design and understand what they termed as complex information-based networked industrial _CINI_ systems. The authors borrow concepts and principles from physical systems and living systems to model and simulate CINI systems. They describe the four major model building activities of engineers that relate to CINI systems, namely, topology, behaviour, decisions, and information.

The Pugh Controlled Convergence Method: Model-based evaluation and implications for design theory

This paper evaluates the Pugh Controlled Convergence method and its relationship to recent developments in design theory. Computer executable models are proposed simulating a team of people involved in iterated cycles of evaluation, ideation, and investigation.

Developing GIS tools for planning, mitigation and preparedness for large scale emergencies and disasters

Emergency and disaster management involves four stages: Mitigation (Planning), Preparedness, Response and Relief. Concerned authorities at different levels (central, state, district, etc.) play different roles and have different responsibilities in each phase of emergency and disaster management. GIS-based tools have been shown to be useful in the response and recovery phases of an emergency. In this paper, we propose how GIS-based simulation tools can be used in the Mitigation and Preparedness phases of emergencies and disasters.

The Flip Side of Metcalfe’s Law: Multiple and Growing Costs of Network Exclusion

The study of networks and network science has grown in the last decade, but most network models fail to capture the costs or loss of value of exclusion from the network. Intuitively, as a network grows in size and value, those outside the network face growing disparities. This new direction is relevant too for the design of policy interventions as well as for shifting the scholarly research agenda toward greater focus on inequality and exclusion.