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4.3.0 Panel 4.3.0: Discovering a Strategy for Whole Systems Modeling
Author(s) -
Ring J.,
Bahill T.,
Blackmon T.,
Cloutier R.,
Clymer J.,
Hodgson R.,
Jacoby C.,
Krane S.,
Lloyd K.,
Newman R. A.,
Orr J.,
Rose C.,
Skipper J.,
Sorenson R.,
Steiner R.
Publication year - 2007
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2007.tb02898.x
Subject(s) - construct (python library) , computer science , experiential learning , knowledge management , experiential knowledge , panel discussion , data science , management science , business , engineering , psychology , mathematics education , advertising , programming language , philosophy , epistemology
Practitioners actively involved in modeling systems today generally agree that our profession does not construct a unified model of a median system let alone an adequate, accurate and timely model of the larger, more complex systems, especially those in which humans are active elements. Ironically, knowledge about and technologies for modeling are progressing faster than their rate of adoption. This emerging gap indicates a lack of strategy and perhaps willpower. This panel/experiential workshop is intended to discover a strategy that is equal to the challenges ahead. This means a strategy that not only ensures languages, methods, tools competencies and standards of care but also one that motivates systems practitioners to be accountable for results.