平台方法

Agnes Förster, Eva Strobel, Stefan Böschen, P. Letmathe, Maren Paegert
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引用次数: 0

摘要

2019年,德国联邦议会发布了一份关于全国燃煤发电站退出战略的报告。因此,位于科隆、亚琛、门兴格拉德巴赫和杜塞尔多夫之间、人口210万的莱茵褐煤矿区面临着前所未有的变化。这一根本的政治决定促使各级联邦政府采取了大量行动。亚琛工业大学(RWTH Aachen University)等在该地区有历史合作关系的其他机构也被卷入其中。正在进行的转型过程已经成为重新思考和进一步发展大学作为该地区中介角色的机会。2019年,一群来自不同学科的研究人员成立了REVIERa,作为加强跨学科和跨学科交流、联网和协调的转型平台。该平台已成为研究人员和区域合作伙伴的探索空间;它建立在知识是塑造转型过程的关键资源的假设之上。更重要的是,它基于这样一个前提:当新的联系受到刺激时,现有知识就会具有变革性。在转型过程中,面对高度复杂的情况和不确定的结果,系统、目标和转型知识是高度相关和流动的。与人类大脑类似,REVIERa的目标是创造新的突触,打破僵局模式,从而开辟通往未来的道路。本着这种精神,该平台开发了遵循反身性、共鸣和开放式学习原则的创新方法。本文讨论了该平台的演变,并评估了其活动和变革时刻,以及其固有的矛盾和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Platform Approach
Abstract In 2019, the German federal parliament issued a report on a nationwide exit strategy for coal-fired power stations. With this, the Rhenish lignite mining area – a region populated by 2.1 million people and located between Cologne, Aachen, Monchengladbach, and Dusseldorf – was confronted with unprecedented change. The fundamental political decision provoked a multitude of actions on all federal levels of government. Other institutions with historical partnerships in the region, such as the RWTH Aachen University, became embroiled, too. The ongoing transformation process has become an opportunity to rethink and further develop the role of the university as an intermediary in the region. In 2019, a group of researchers from different disciplines set up REVIERa as a transformation platform to strengthen interdisciplinary and transdisciplinary exchange, networking, and coordination. The platform has become an exploratory space both for researchers and regional partners; it has been set up with the hypothesis that knowledge is a key resource to shaping transformation processes. More importantly, it is based on the premise that existing knowledge becomes transformative when new linkages are stimulated. In transformation processes, system, goal, and transformation knowledge are highly related and fluid in the face of highly complex situations and uncertain outcomes. Analogous to the human brain, REVIERa aims to create new synapses that dissolve deadlocked patterns and hence open paths into the future. In this vein, the platform develops innovative methods that follow the principles of reflexivity, resonance, and open learning. This paper addresses the evolution of this platform and evaluates its activities and transformative moments, as well as its inherent contradictions and limitations.
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