Niloofar Aflaki's institutional profile describes research and teaching in data science and responsible artificial intelligence at Massey University. Her interests include large language models, human–computer interaction and GIS. This broader research setting connects the geospatial language-annotation work in the book with questions about how people and computational systems interpret data.
A 2018 GIScience paper by Niloofar Aflaki, Shaun Russell and Kristin Stock examined the difficulties of creating annotated geospatial natural-language descriptions. In 2019 Stock and collaborators presented "He Tatai Whenua", work on automated extraction of landscape terms and meanings in New Zealand Māori. These projects predated the current large-language-model boom and treated language as data that needed careful annotation, interpretation and computational representation. Coordinates returned from natural-language queries required validation against the intended places.
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- Natural language returnsGIS and AI in 2025