Enhancing collaboration between ecologists and computer scientists: lessons learned and recommendations forward
Enhancing collaboration between ecologists and computer scientists: lessons learned and recommendations forward
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DOI：
10.1002/ecs2.2753
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发表时间：
2019-05-01
期刊：
影响因子：
2.7
通讯作者：
Arzberger, Peter
中科院分区：
文献类型：
--
作者：
Carey, Cayelan C.;Ward, Nicole K.;Arzberger, Peter
在大数据时代，生态学家越来越依赖计算方法和工具来回答现有问题并提出新的研究问题。其中包括软件应用程序（例如模拟模型、数据库和机器学习算法）和硬件系统（例如无线传感器网络、超级计算、无人机和卫星），激发了计算机科学家和生态学家之间加强合作的需求。在这里，我们概述了两个学科的科学家可以通过在计算机科学和生态学研究界之间建立合作来获得的一些协同机会，重点关注对生态学的具体好处。我们还确定了计算机科学过去对生态学的贡献，包括高频环境传感器技术、用于生态建模的先进超级计算能力、长期和高频数据集的数据库以及用于生态分析的软件程序，以预测未来的潜在贡献。这些例子凸显了计算机科学技术和思想进一步融入生态研究界的力量和潜力。最后，我们将过去十年作为计算机科学家和生态学家团队一起工作的经验转化为概念框架，并提出支持两个学科交叉点的富有成效的合作的建议。我们特别关注如何应用团队科学的最佳实践来连接计算机科学和生态学，我们主张这将长期使生态学受益。
In the era of big data, ecologists are increasingly relying on computational approaches and tools to answer existing questions and pose new research questions. These include both software applications (e.g., simulation models, databases and machine learning algorithms) and hardware systems (e.g., wireless sensor networks, supercomputing, drones and satellites), motivating the need for greater collaboration between computer scientists and ecologists. Here, we outline some synergistic opportunities for scientists in both disciplines that can be gained by building collaborations between the computer science and ecology research communities, with a focus on the benefits to ecology specifically. We also identify past contributions of computer science to ecology, including high-frequency environmental sensor technology, advanced supercomputing capacity for ecological modeling, databases for long-term and high-frequency datasets, and software programs for ecological analyses, to anticipate future potential contributions. These examples highlight the power and potential for further integration of computer science technology and ideas into the ecological research community. Finally, we translate our own experiences working together as a team of computer scientists and ecologists over the past decade into a conceptual framework with recommendations for supporting productive collaborations at the interface of the two disciplines. We specifically focus on how to apply best practices of team science for bridging computer science and ecology, which we advocate will substantially benefit ecology long-term.