A research agenda for GIScience in a time of disruptions.

IF 5.1 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Trisalyn Nelson, Amy E Frazier, Peter Kedron, Somayeh Dodge, Bo Zhao, Michael Goodchild, Alan Murray, Sarah Battersby, Lauren Bennett, Justine I Blanford, Carmen Cabrera-Arnau, Christophe Claramunt, Rachel Franklin, Joseph Holler, Caglar Koylu, Angela Lee, Steven Manson, Grant McKenzie, Harvey Miller, Taylor Oshan, Sergio Rey, Francisco Rowe, Seda Şalap-Ayça, Eric Shook, Seth Spielman, Wenfei Xu, John Wilson
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Abstract

Social issues, AI, and climate change are just a few of the disruptive focuses impacting science. The field of GIScience is well positioned to respond to accelerating disruptions due to the interdisciplinary nature of the field and the ability of GIScience approaches to be used in support of decision-making. This manuscript aims to start a conversation that will establish a research agenda for GIScience in an age of disruptions. We outline three guiding principles: (1) focusing on the relevance and real-world impact of research, (2) adopting systems-based thinking and contextual approaches and (3) emphasizing inclusive practices. We then outline prioritized research areas organized by what topics are important focal areas (Data and Infrastructure, Artificial Intelligence, and Causality and Generalizability), and what approaches to science we should be attentive to (Impactful Open Science, Collaborative and Convergent Science, and through Diverse Participation and Partnerships). We conclude with a call to increase impact by balancing slow science with practical and policy-oriented research. We also recognize that while broad adoption of spatial approaches is a signal of GIScience's success, we should continue to work together to advance core knowledge centered on spatial thinking and approaches.

混乱时期gisscience的研究议程。
社会问题、人工智能和气候变化只是影响科学的几个破坏性焦点。由于该领域的跨学科性质和gisscience方法用于支持决策的能力,gisscience领域能够很好地应对加速的中断。这篇手稿旨在开启一场对话,为gisscience在一个混乱的时代建立一个研究议程。我们概述了三个指导原则:(1)关注研究的相关性和现实影响;(2)采用基于系统的思维和情境方法;(3)强调包容性实践。然后,我们根据重要的焦点领域(数据和基础设施、人工智能、因果关系和概括性)以及我们应该关注的科学方法(有影响力的开放科学、协作和融合科学,以及通过不同的参与和伙伴关系),概述了优先考虑的研究领域。最后,我们呼吁通过平衡缓慢科学与实用和政策导向的研究来增加影响力。我们还认识到,虽然广泛采用空间方法是GIScience成功的标志,但我们应继续共同努力,推进以空间思维和方法为中心的核心知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.00
自引率
7.00%
发文量
81
审稿时长
9 months
期刊介绍: International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.
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