Learn how you can become part of the network of networks. Explore the working groups:
Working Group 1: Linking economic and ecological, hydrological system to value ecosystem
The global community faces the daunting task of simultaneously addressing multiple sustainable development goals, each of which bears on elements of the economic, ecological and hydrological systems. Comprehensive analysis requires integrated assessment across ecosystem sciences broadly construed, including both ecological and hydrological models, and economic models, capturing effects from local to global scales. Expanding networks of researchers have taken on various component parts of this challenge. There remain, however, important gaps in our collective ability to model these systems within global-local-global frameworks.
Working Group 2: Land, Water and Climate Systems at the Nexus of SDGs
Policy interventions aimed at addressing global sustainability challenges often result in trade-offs between different SDGs. This working group will aim to study the effectiveness of different interventions in land, water, and climate systems, including an understanding of tradeoffs and synergies that different interventions create between the SDGs. For example, might natural climate solutions result in unsustainable land or water use? This working group will identify leverage points and pathways for transformation that minimize trade-offs and achieve multiple SDGs at the same time. What kinds of data and analytical approaches are needed to address this challenge considering the wide range of spatial scales used to study these systems? How do we study the local-to-global-to-local linkages and connect global sustainability to local communities?
Working Group 3: Database and Model Coupling Infrastructure
To ensure interoperability, traceability, readability, reusability, discoverability, provenance, attribution, and usability of data, models, code, workflows in this project. This can include tools, data standards, best practices, policies, cyber-infrastructure that enables FAIR Global-local-global data-driven analyses and model coupling, working across domains and networks which may not have collaborated in the past.
Working Group 4: Human Capital
To prepare, and to diversify, the next generation of leaders in international sustainability team science through transdisciplinary training and mentorship.