Dear Colleagues and students,
We are very glad to announce that The Thirteenth International Conference on Geographic Information Science (GIScience 2025) will be held in Christchurch, New Zealand, on
26-29 August 2025, hosted by the University of Canterbury in collaboration with the GIScience academic research community across New Zealand.
The GIScience 2025 is the flagship conference in geographic information science and continues the highly successful conference series which started in 2000. The conference regularly attracts over 250 international participants from academia, industry, and government
to discuss and advance the state-of-the-art in geographic information science. August 26 is dedicated to Workshops and Tutorials. The main conference runs from August 27 to 29 and includes a single refereed paper track and an abstract track for posters and
demo submissions. GIScience research spans the gamut of interrelated discovery activities related to geographic information from the invention of new computational instruments, the gathering of data via observation or experimentation, and discovery of descriptive generalizations
patterns in data through to the creation of explanatory theories and the testing of theories. The GIScience conference series seeks submissions that make fundamental advances to the field through this multifaceted process.
GIScience 2025 welcomes papers, posters and demos covering emerging topics and fundamental research findings across all sectors of geographic information science, including (but not limited to) the role of geographic information in geography, computer science, engineering,
information science, linguistics, mathematics, cognitive science, philosophy, psychology, social science, and geostatistics. We welcome participation from community members sharing work at various stages of development, including position pieces, works in
progress, as well as full papers for inclusion in the conference proceedings.
There are three key deadlines for submissions:
GIScience 2025 Organizers
General chairs
Benjamin Adams, University of Canterbury
Mark Gahegan, University of Auckland
Local chairs
Vanessa Bastos, University of Canterbury
Carolynne Hultquist, University of Canterbury
Program chairs
Katarzyna Sila-Nowicka, University of Auckland
Kristin Stock, Massey University
Antoni Moore, University of Otago
David O'Sullivan, University of Auckland
Workshop/Tutorial chairs
Mairead de Roiste, Victoria University of Wellington Minh Kieu, University of Auckland
International chair
Song Gao, University of Wisconsin
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Associate Professor, Department of Geography, University of Wisconsin-Madison
Address: 550 N. Park St., Madison, Wisconsin 53706-1404, USA
Director of Geospatial Data Science Lab & Faculty Affiliate of Data Science Institute
"Handbook of Geospatial Artificial Intelligence" is available online