Species interactions play a key role in shaping the functioning and dynamics of biological communities. However, measuring and quantifying these interactions has been a major roadblock and has made working with species interactions (and their resulting networks) a challenge. Recent advances in the prediction of ecological networks, largely supported by novel machine learning and statistical techniques, present a key response to addressing data scarcity within network ecology.With the help of these new contemporary tools, we will be able to begin filling in the blank spaces of the ecological network map, making us more equipped to start pursuing bigger questions. The aim of this Inspire session is to do exactly that. We have brought together a team of speakers from a variety of sub-disciplines and backgrounds to share their thoughts and ideas on the advancement and possible directions we can take with regard to thinking about networks across space. The focus of this session is not to present results but rather different opinions and ideas in an effort to spark a discussion as to what the future directions spatial network ecology might take. Talks will be presented within the context of space (of the interstellar kind) so as to encourage thinking about the topic at hand in a "system-agnostic" manner as well as keeping with the more informal (and fun) nature of Inspire sessions.