The difficulty and expense of collecting river water samples in remote areas has led to significant—and in some cases, decades-long—gaps in available water chemistry data, according to a Penn State-led team of researchers. The team is using artificial intelligence (AI) to predict water quality and fill the gaps in the data. Their efforts could lead to an improved understanding of how rivers react to human disturbances and climate change.