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<p>Science gateways represent pivotal computational infrastructure for deploying environmental decision support systems that address complex stakeholder requirements and wicked problems. This research demonstrates how these platforms democratize access to high-performance computing while enabling participatory decision-making that integrates community knowledge with scientific analysis. We developed the Decision Pathways Framework (DPF), a three-phase approach implemented through Computational Cookbooks that facilitate rapid prototyping and integration of flexible decision support capabilities at scale. Our methodology employs containerized workflows including natural language processing for extracting insights from community narratives and semantic linking algorithms connecting qualitative stakeholder descriptions to quantitative scientific variables through standardized naming conventions. The approach is validated through a case study analyzing interviews with members of an Alaskan village regarding Arctic infrastructure challenges, successfully processing themes across six categories and automatically linking community observations to measurable parameters such as permafrost thaw rates. The semantic linking enabled recommendation of relevant datasets and physics-based models from computational catalogs, significantly reducing technical barriers for non-expert users to build visualizations and reports. These findings demonstrate how science gateways can evolve beyond job submission platforms into collaborative sociotechnical environments that preserve community-centered decision-making while maintaining computational rigor, fostering collaborative intelligence in environmental management, and accelerating access to advanced analytical tools for communities facing urgent environmental challenges.</p>

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A Science Gateway Approach to Decision Support

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月6日

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  • Suzanne A. Pierce,
  • Lissa Pearson,
  • Maximiliano Osorio,
  • Sal Tijerina,
  • Virginia Trueheart,
  • Kasey Faust,
  • William Mobley

摘要

Science gateways represent pivotal computational infrastructure for deploying environmental decision support systems that address complex stakeholder requirements and wicked problems. This research demonstrates how these platforms democratize access to high-performance computing while enabling participatory decision-making that integrates community knowledge with scientific analysis. We developed the Decision Pathways Framework (DPF), a three-phase approach implemented through Computational Cookbooks that facilitate rapid prototyping and integration of flexible decision support capabilities at scale. Our methodology employs containerized workflows including natural language processing for extracting insights from community narratives and semantic linking algorithms connecting qualitative stakeholder descriptions to quantitative scientific variables through standardized naming conventions. The approach is validated through a case study analyzing interviews with members of an Alaskan village regarding Arctic infrastructure challenges, successfully processing themes across six categories and automatically linking community observations to measurable parameters such as permafrost thaw rates. The semantic linking enabled recommendation of relevant datasets and physics-based models from computational catalogs, significantly reducing technical barriers for non-expert users to build visualizations and reports. These findings demonstrate how science gateways can evolve beyond job submission platforms into collaborative sociotechnical environments that preserve community-centered decision-making while maintaining computational rigor, fostering collaborative intelligence in environmental management, and accelerating access to advanced analytical tools for communities facing urgent environmental challenges.