Impact mapping tool for interdisciplinary research institutes

Lena Pfeifer , Katharina Helming , Hendrik Schneider , Frank Ewert
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Abstract

The identification of societal impacts resulting from interdisciplinary research is a complex task. This complexity is particularly evident for agricultural research, which strives to mitigate trade-offs between agricultural production and multiple societal targets, including food provision, ecosystem services, soil and biodiversity conservation, climate action and rural development, all contributing to the Sustainable Development Goals (SDGs). To address this issue, this article presents an Impact Mapping Framework for systematically assessing such societal impacts. The use case on soil health shows how ZALF, an interdisciplinary agricultural landscape research institute in Germany, uses the framework to map its research activities and their contributions towards the improvement of ecosystem services and biodiversity, and the SDGs. The Impact Mapping Framework is presented in a circular format, with research activities mapped in the outermost circle and their contributions to SDGs in the center. The article provides step-by-step instructions for applying the impact mapping framework and a supplementary Impact Map Table. It concludes by emphasizing the importance of using a systemic approach to formatively assess the societal impact of interdisciplinary research, to visualize it for external communication, to identify research gaps and collaboration opportunities, and to build impact literacy.

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跨学科研究机构影响力绘图工具
确定跨学科研究产生的社会影响是一项复杂的任务。这种复杂性在农业研究中尤为明显,因为农业研究致力于减轻农业生产与多个社会目标之间的权衡,包括粮食供应、生态系统服务、土壤和生物多样性保护、气候行动和农村发展,所有这些都有助于实现可持续发展目标(SDGs)。为解决这一问题,本文提出了一个影响绘图框架,用于系统地评估此类社会影响。有关土壤健康的使用案例展示了德国跨学科农业景观研究所 ZALF 如何使用该框架绘制其研究活动及其对改善生态系统服务和生物多样性以及可持续发展目标的贡献。影响映射框架以圆形格式呈现,研究活动映射在最外圈,其对可持续发展目标的贡献则位于中心。文章提供了应用影响绘图框架的分步说明和补充影响绘图表。文章最后强调了使用系统方法对跨学科研究的社会影响进行正式评估、将其可视化以便于对外交流、确定研究差距和合作机会以及培养影响素养的重要性。
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