Pitts Joshua, Gopal Sucharita, Ma Yaxiong, Koch Magaly, Boumans Roelof M, Kaufman Les
Global Development Policy Center, Boston University, Boston, MA, United States.
Department of Earth & Environment, Boston University, Boston, MA, United States.
Front Big Data. 2020 Apr 28;3:13. doi: 10.3389/fdata.2020.00013. eCollection 2020.
With the world population projected to grow significantly over the next few decades, and in the presence of additional stress caused by climate change and urbanization, securing the essential resources of food, energy, and water is one of the most pressing challenges that the world faces today. There is an increasing priority placed by the United Nations (UN) and US federal agencies on efforts to ensure the security of these critical resources, understand their interactions, and address common underlying challenges. At the heart of the technological challenge is . The aim of this special publication is the focus on big data science for food, energy, and water systems (FEWSs). We describe a research methodology to frame in the FEWS context, including decision tools to aid policy makers and non-governmental organizations (NGOs) to tackle specific UN Sustainable Development Goals (SDGs). Through this exercise, we aim to improve the "supply chain" of FEWS research, from gathering and analyzing data to decision tools supporting policy makers in addressing FEWS issues in specific contexts. We discuss prior research in each of the segments to highlight shortcomings as well as future research directions.
预计在未来几十年世界人口将大幅增长，同时气候变化和城市化带来额外压力，确保粮食、能源和水等基本资源的安全是当今世界面临的最紧迫挑战之一。联合国（UN）和美国联邦机构越来越重视确保这些关键资源安全、了解它们之间的相互作用以及应对共同潜在挑战的工作。技术挑战的核心在于……本特刊的目的是聚焦于粮食、能源和水系统（FEWSs）的大数据科学。我们描述了一种在FEWS背景下构建的研究方法，包括帮助政策制定者和非政府组织（NGOs）应对联合国特定可持续发展目标（SDGs）的决策工具。通过这项工作，我们旨在改善FEWS研究的“供应链”，从数据收集和分析到支持政策制定者在特定背景下解决FEWS问题的决策工具。我们讨论了每个领域先前的研究，以突出不足之处以及未来的研究方向。
