Yan Chen’s second PhD paper came out today in a special issue of Landscape Ecology on Artificial intelligence (AI) and landscape ecology: tools, perspectives, and complementarities. The paper, Image auto-coding tools for social impact assessment: leveraging social media data to understand human dimensions of hydroelectricity landscape changes in Canada delivers on what Yan said to me at the end of her Masters work back in 2016–after coding thousands of images manually–that maybe there is a way for computers to do more of the heavy lifting.
In this paper, we use the pre-trained AI Google Cloud Vision to understand the social impact of hydro dams based on social media of a chronosequence of sites (see right): from Mactaquac in NB (built in the 60s), to Oldman in AB (built in the 90s) and Site C in BC (which completed while her PhD was winding up). The paper has insights for the landscape and social implications of dam, and the use of social media for SIA. Congrats, Yan!







