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Collaborative Development of Narratives and Models for Steering Inter-Organizational Networks

机译：叙事和模型的协作发展，用于转向组织间网络

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The power to direct and manage change within metropolitan areas is increasingly dispersed among a loosely interconnected set of mostly local organizations, agencies and actors that form a special type of urban inter-organizational network. Increasingly, the quality of metropolitan regional governance depends upon IO network capacity to articulate systemically insightful urban development strategies, i.e., to exercise a capacity for network steering. We outline an IO network steering capacity-support process that combines collaborative learning, narrative storytelling, and system dynamics modeling with the goal of deepening insights into urban human/biophysical processes and securing greater resilience in metropolitan regional governance. Our process promotes comprehension of complex urban processes through stories about past trajectories and future growth scenarios that frame issues within collaborative learning workshops for deliberation by local opinion leaders. This initiative is part of a larger research study on greenhouse gas emissions in relation to human and biological activities within metropolitan areas.
机译：在大都市区内的直接和管理变革的权力越来越多地分散在一个松散的互联的大多数本地组织，代理商和演员中，这些组织组织间网络间网络。越来越多的大都会区域治理的质量取决于IO网络能力，使系统富有洞察力的城市发展战略，即，行使网络转向能力。我们概述了一个IO网络转向能力支持过程，将协作学习，叙述讲故事和系统动态建模结合在于对城市人/生物物理过程深化洞察的目标，并在大都市区域治理中确保更大的复原力。我们的过程中，通过对过去的轨迹和未来的发展情景故事推动复杂的城市进程的理解，对当地意见领袖商议协作学习车间内框架的问题。这项倡议是对大都市区内的人类和生物活动有关温室气体排放的更大研究研究的一部分。

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