AccelNet:GLASSNET: Networking Global to Local Analyses to Inform Sustainable Investments in Land and Water Resources

减少贫困、粮食和能源安全、清洁水、生物多样性和减缓气候变化的全球努力既需要权衡取舍，也需要协同增效。在一个地方做出的有关政策、基础设施和投资的决定可能会产生广泛的影响。如果没有将全球和地方尺度联系起来的能力，针对地球系统的重大挑战提出的解决方案可能是不可行的、具有误导性的，或者会产生意想不到的后果。这个名为“全球到本地系统可持续性分析”（GLASSNET）的AccelNet项目，将通过连接快速扩展的可持续性科学网络，超越传统的个体研究人员对研究人员的基础，解决不完整、复杂或专有数据分析的障碍。GLASSNET将为跨空间尺度、学科和文化的模型和数据集成提供可转移的最佳实践，以应对全球舞台上社区公认的重大挑战。GLASSNET将美国的4个全球网络和德国、奥地利和瑞士的5个对等网络连接起来，这些网络有着共同的目标，即为智力伙伴关系和社区共享资源搭建一座多国桥梁。通过在中国、巴西和地中海地区的测试活动，GLASSNET将扩大其全球参与，并测试其在地方和区域决策中的有效性。二十多名学生、博士后研究人员和早期职业研究人员，包括印第安人，将通过新颖的培训、指导、指导网络和跨网络和国家的交流，准备参与并领导国际可持续发展团队科学。GLASSNET网络将采用GeoHub地理空间网络平台，整合和协调高质量、空间明确、多尺度的土地、水和生态系统数据，这些数据目前以碎片形式存在于不同学科、研究团体和国家中。虽然当地情况需要精细的分析，但市场力量和政府政策推动全球变化，需要宏观层面的分析。网络集成将从试行通用数据框架开始。将部署建模工具进行更深入的分析，以了解和量化土地和水资源的公平和可持续利用所固有的权衡。GLASSNET将解决特别具有挑战性的问题，即缩小经济模型的产出规模，并汇总精细经济和生态系统的结果。通过连接多个现有网络和参与世界关键地区的测试平台，GLASSNET将改进现有模型的参数化，并结合新的分析工具，以创新的方式代表制度和生物物理限制。对参与该网络的自然科学和社会科学学科的参与者的生产力进行评估，将对跨不同参与者的多团队在促进研究生产力和早期职业专业发展方面的作用产生新的见解。通过国际网络对网络合作加速研究（AccelNet）计划旨在加速科学发现的进程，并为下一代美国研究人员进行多团队国际合作做好准备。AccelNet项目支持美国研究网络与国外互补网络之间的战略联系，将利用研究和教育资源来应对需要重大国际协调努力的重大科学挑战。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Global efforts to address poverty reduction, food and energy security, clean water, biodiversity, and climate change mitigation come with tradeoffs as well as synergies. Decisions on policies, infrastructure, and investments made in one place can have wide-spread consequences. Without the ability to link across global and local scales, proposed solutions to the earth system’s grand challenges could be infeasible, misleading, or have unintended consequences. This AccelNet project, Global to Local Analysis of System Sustainability (GLASSNET), will address barriers of incomplete, complex, or proprietary data analysis by linking rapidly expanding sustainability science networks beyond the customary, individual researcher-to-researcher basis. GLASSNET will deliver transferable best practices for integration of models and data across spatial scales, disciplines, and cultures to address community-recognized grand challenges on a worldwide stage. GLASSNET links four U.S.-based global networks and five counterpart networks in Germany, Austria, and Switzerland that share common goals to build a multi-national bridge for intellectual partnership and community-shared resources. Through testbed activities in China, Brazil, and the Mediterranean region, GLASSNET will extend its global engagement and test its effectiveness for local and regional decision making. More than two dozen students, postdoctoral researchers, and early-career researchers, including Native Americans, will be prepared to engage in and lead international sustainability team science through novel training, mentoring, guided networking, and exchanges across networks and nations.The GLASSNET network of networks will employ a GeoHub geospatial cyberplatform to assemble and harmonize high-quality, spatially explicit, and multiscale land, water, and ecosystem data that currently reside in fragmented form within different disciplines, research communities, and countries. While local circumstances require fine-scale analyses, market forces and government policies drive global changes that compel macro-level analyses. Network integration will begin with piloting common data frameworks. Modeling tools will be deployed for deeper analysis to understand and quantify tradeoffs inherent in the equitable and sustainable use of land and water resources. GLASSNET will tackle the particularly challenging problem of downscaling outputs of economic models and aggregating fine-scale economic and ecosystem results. By linking multiple existing networks and engaging testbeds in key regions of the world, GLASSNET will improve parameterization of existing models and incorporate new analytical tools to innovatively represent institutional and biophysical constraints. Evaluation of participant productivity across natural and social science disciplines involved in this network of networks will generate novel insights into the role of multi-teaming across the diverse participants in facilitating research productivity and early career professional development.The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.