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

全球为解决减贫、粮食和能源安全、清洁水、生物多样性和减缓气候变化所作的努力既有权衡，也有协同效应。在一个地方做出关于政策、基础设施和投资的决策可能会产生广泛的后果。如果没有能力在全球和地方范围内联系起来，针对地球系统重大挑战提出的解决方案可能是不可行的、具有误导性的，或者产生意想不到的后果。这个AccelNet项目，系统可持续性的全球到局部分析(GLASSNET)，将通过将迅速扩大的可持续性科学网络联系起来，超越传统的个人研究人员对研究人员的基础，来解决不完整、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移植的最佳实践，以在全球舞台上应对社区认可的重大挑战。GLASSNET连接了四个总部设在美国的全球网络和德国、奥地利和瑞士的五个对应网络，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建立一座多国桥梁。通过在中国、巴西和地中海地区的试验台活动，GLASSNET将扩大其全球参与，并测试其在当地和地区决策方面的有效性。二十多名学生、博士后研究人员和职业生涯早期的研究人员，包括美洲原住民，将通过新颖的培训、指导、指导网络和跨网络和国家的交流，参与和领导国际可持续发展团队科学。GLASSNET网络网络将使用GeoHub地理空间网络平台来集合和协调高质量、空间明确和多尺度的土地、水和生态系统数据，这些数据目前以分散的形式驻留在不同的学科、研究社区和国家中。虽然当地的情况需要进行精细的分析，但市场力量和政府政策推动了全球变化，迫使进行宏观层面的分析。网络集成将从试点通用数据框架开始。将使用建模工具进行更深入的分析，以了解和量化公平和可持续使用土地和水资源所固有的权衡。GLASSNET将解决特别具有挑战性的问题，即降低经济模型的产出，并汇总精细的经济和生态系统成果。通过连接多个现有网络并在世界关键区域建立试验台，GLASSNET将改进现有模型的参数化，并纳入新的分析工具，以创新地表示体制和生物物理制约因素。对这一网络中涉及的自然和社会科学学科的参与者生产率进行评估，将使人们对跨不同参与者的多团队在促进研究生产率和早期职业职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)计划旨在加快科学发现的进程，并为多团队国际合作准备下一代美国研究人员。AccelNet计划支持美国研究网络和海外互补网络之间的战略联系，这些网络将利用研究和教育资源来应对需要大量国际协调努力的重大科学挑战。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.