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A multi-university cohort model for teaching complex and interdisciplinary problem-solving using system dynamics
Systems Research and Behavioral Science ( IF 1.8 ) Pub Date : 2021-01-18 , DOI: 10.1002/sres.2778
Benjamin L. Turner 1 , Melissa Wuellner 2 , Erin Cortus 3 , Steven Boot Chumbley 4
Affiliation  

The complexity of agricultural and natural resources (AGNR) systems continues to thwart long-term management efforts to address root causes of problems. Unfortunately, capacity building in systems thinking and system dynamics (SD) modeling by AGNR educational programmes has not kept pace with other disciplines, stalled by accelerated specialization and disciplinary fragmentation. Here, we describe a 1-year, interdisciplinary cohort programme aimed at SD capacity building for AGNR education. Student cohorts investigated unresolved, real-world management problems following the SD approach. Problems included weed herbicide resistance in cultivated agriculture, land acquisition for biodiversity conservation and adoption of soil conservation practices by farmers. The fellowship process is outlined followed by descriptions of each cohort's model and insights they generated. Exit interviews illuminated valuable reflections regarding team cohesion, the role of SD in enhancing traditional graduate studies and structural adjustments to enhance future fellowship delivery. We conclude with recommendations to others interested in delivering similar programmes.

中文翻译:

使用系统动力学教授复杂和跨学科问题解决的多大学队列模型

农业和自然资源 (AGNR) 系统的复杂性继续阻碍解决问题根源的长期管理工作。不幸的是,AGNR 教育项目在系统思维和系统动力学 (SD) 建模方面的能力建设并没有跟上其他学科的步伐,因为加速专业化和学科碎片化而停滞不前。在这里,我们描述了一个为期 1 年的跨学科队列计划,旨在为 AGNR 教育提供 SD 能力建设。学生群体按照 SD 方法调查了未解决的现实管理问题。问题包括耕作农业中的杂草除草剂抗性、为保护生物多样性而征用土地以及农民采用土壤保持措施。概述了研究金过程,然后描述了每个队列' 他们产生的模型和见解。离职面谈阐明了关于团队凝聚力、SD 在加强传统研究生学习和结构调整以加强未来奖学金交付方面的作用的宝贵反思。最后,我们向有兴趣提供类似计划的其他人提出建议。
更新日期:2021-01-18
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