Bridging sustainability science, earth science, and data science through interdisciplinary education
Bridging sustainability science, earth science, and data science through interdisciplinary education
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DOI：
10.1007/s11625-019-00735-3
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发表时间：
2020-03-01
影响因子：
6
通讯作者：
Pierce, Suzanne A.
中科院分区：
文献类型：
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作者：
Pennington, Deana;Ebert-Uphoff, Imme;Pierce, Suzanne A.
鉴于数据科学技术在可持续发展科学中的迅速兴起以及其中许多应用的社会重要性，迫切需要培养未来的科学家，使其在他们所选择的科学领域和数据科学方面都具有丰富的知识。本文概述了可持续科学能力的更广泛背景下所需的能力、开始出现的教育计划和课程、这些开创性计划面临的挑战以及参与教师学到的经验教训。除了数据科学能力之外，跨学科合作的能力对于可持续发展科学家与数据科学家合作也至关重要。针对数据科学和跨学科合作这两种能力的计划和课程将提高我们的员工队伍应用创新方法来解决复杂的可持续发展问题的能力。然而，培养这些能力很困难，大多数教师通过直觉或反复试验来选择教学方法。需要进行研究来开发针对这些特定能力的有效教学法。
Given the rapid emergence of data science techniques in the sustainability sciences and the societal importance of many of these applications, there is an urgent need to prepare future scientists to be knowledgeable in both their chosen science domain and in data science. This article provides an overview of required competencies, educational programs and courses that are beginning to emerge, the challenges these pioneering programs face, and lessons learned by participating instructors, in the broader context of sustainability science competencies. In addition to data science competencies, competencies collaborating across disciplines are essential to enable sustainability scientists to work with data scientists. Programs and courses that target both sets of competencies-data science and interdisciplinary collaboration-will improve our workforce capacity to apply innovative new approaches to yield solutions to complex sustainability problems. Yet developing these competencies is difficult and most instructors are choosing instructional approaches through intuition or trial and error. Research is needed to develop effective pedagogies for these specific competencies.