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Building a USGS community for FAIR & integrated modeling​ Active

By Community for Data Integration (CDI) March 17, 2022

This project develops an approach to common questions USGS scientists are faced with when working on multidisciplinary teams to address complex challenges — what models are available? When is it appropriate to couple/integrate models? And how can we apply technology to support an appropriate approach?

This project applies an approach to more seamlessly link interdisciplinary scientific data and models using the artificial intelligence techniques of semantics and machine reasoning, with a focus on hydrologic and ecological model integration in the Colorado River Basin to better address drought and climate change in the Basin. This method will streamline model and data integration, interoperability, and reusability and make it easier for scientists to identify available data and models and understand their appropriate (re)uses. The project develops an approach to common questions USGS scientists face when working on multidisciplinary teams to address complex challenges, such as (1) what models are available?, (2) when is it appropriate to couple/integrate models?, and (3) how can we apply technology to support an appropriate approach? Finally, the project aims to build a community around interoperability-focused scientific modeling in the USGS, improving capacity to address integrated modeling challenges.