Collaborative Research: The Responsible Conduct of Computational Modeling and Research

在所有科学和工程学科中，研究都是在理论、实验和计算模式下进行的。在一些学科，如气象学，主要的研究模式是计算。然而，现有的关于负责任的研究行为的教学材料侧重于实验研究中出现的伦理问题，而没有解决计算建模和研究中出现的具体问题。在这个包含研究和教育相结合的项目中，pi将以适合研究生教学的形式，根据经验确定负责任的计算建模和研究行为的伦理问题和公认标准。具体来说，pi将阐明模型完整性和有效性、模型鲁棒性、表示和可视化、数据和代码完整性以及知识产权的标准。他们将开发教学材料、案例研究和相关评论，向科学和工程专业的研究生教授这些标准，评估教学材料的质量和有效性，并通过会议、期刊和网络传播这些标准。项目团队的专业知识包括计算动力学、计算生物力学、工程伦理学、教学设计和教育评估。更广泛的影响：pi将与研究生和本科生合作，根据实际情况开发案例，并对案例进行评论，以向理工科研究生教授计算建模的专业标准。这些材料将由两个机构的学生和教员以及技术会议上的专业人员进行测试和评估。这些材料将通过学术会议传播，并存档于国家工程院网络伦理中心。这些标准将被提议纳入研究期刊的出版指南。

Across all science and engineering disciplines, research is conducted in theoretical, experimental, and computational modes. In some disciplines, such as meteorology, the dominant mode of research is computational. Yet extant instructional materials for responsible conduct of research focus on ethical issues that arise in experimental research, and do not address specific issues that arise in computational modeling and research. In this project which encompasses a combination of research and education, the PIs will determine empirically the ethical issues and accepted standards for the responsible conduct of computational modeling and research, in a form suitable for teaching graduate students. Specifically, the PIs will articulate the standards for model integrity and validity, model robustness, representations and visualizations, data and code integrity, and intellectual property. They will develop instructional materials, case studies and associated commentaries to teach these standards to graduate students in science and engineering, will assess the quality and effectiveness of the instructional materials, and will disseminate them through conferences, journals, and the Web. The expertise of the project team includes computational dynamics, computational biomechanics, engineering ethics, instructional design, and educational assessment.Broader Impacts: In collaboration with both graduate and undergraduate students, the PIs will develop cases based on actual situations, and commentaries on the cases for teaching the professional standards of computational modeling to graduate students in science and engineering. These materials will be tested and assessed with students and instructors in two institutions, and with professionals at technical conferences. The materials will be disseminated through academic conferences and archived at the Online Ethics Center of the National Academy of Engineering. The standards will be proposed for inclusion in the publication guidelines of research journals.