Fast tracking tool selection for sustainability decisions

• Published in: Global sustainability 2024-01, Vol.7, Article e24
• Main Authors: Willer, David F., Christie, Alec P., Khripko, Diana, Bremner, Julie, Petrovan, Silviu O., Sutherland, William J., Short, Samuel W., Aldridge, David C.
• Format: Article
• Language: English
• Subjects: Artificial intelligence; Biodiversity; Case studies; Comparative studies; conservation; Data analysis; Decision making; Environmental assessment; Environmental economics; Environmental impact; Environmental Impact Assessment; evidence; Evidence-based medicine; Food; Foods; Managers; Social media; Sustainability; systems; Tracking equipment
• ISSN: 2059-4798; 2059-4798
• DOI: 10.1017/sus.2024.21

Non-technical SummaryIn decision-making, especially for sustainability, choosing the right assessment tools is crucial but challenging due to the abundance of options. A new method is introduced to streamline this process, aiding policymakers and managers. This method involves four phases: scoping, cataloging, selection, and validation, combining data analysis with stakeholder engagement. Using the food system as an example, the approach demonstrates how practitioners can select tools effectively based on input variables and desired outcomes to address sustainability risks. This method can be applied across various sectors, offering a systematic way to enhance decision-making and manage sustainability effectively.Technical SummaryDecision making frequently entails the selection and application of assessment tools. For sustainability decisions there are a plethora of tools available for environmental assessment, yet no established and clear approach to determine which tools are appropriate and resource efficient for application. Here we present an extensive inventory of tools and a novel taxonomic method which enables efficient, effective tool selection to improve decision making for policymakers and managers. The tool selection methodology follows four main phases based on the divergence-convergence logic; a scoping phase, cataloging phase, selection phase and validation phase. This approach combines elements of data-driven analysis with participatory techniques for stakeholder engagement to achieve buy-in and to ensure efficient management of progress and agile course correction when needed. It builds on the current limited range and scope of approaches to tool selection, and is flexible and Artificial Intelligence-ready in order to facilitate more rapid integration and uptake. Using the food system as a case study, we demonstrate how practitioners can use available input variables and desired output metrics to select the most appropriate tools to manage sustainability risks, with the approach having wide applicability to other sectors.Social Media SummaryNew method simplifies tool selection for sustainable decisions, aiding policymakers & managers. #Sustainability #DecisionMaking