Geospatial Artificial Intelligence (GeoAI)<\/strong>, originally grounded in GIScience<\/strong>, Computer Science and related fields<\/strong>, is an emerging discipline that aims to enable machines to learn, reason, and analyze geospatial data in ways similar to humans, and sometimes beyond human capabilities. It seamlessly integrates geographic knowledge or methods with AI to address geographic problems or beyond.<\/p>\n\n\n\n GeoAI 2026 is addressed to researchers, scholars, practitioners, students and thought leaders of different backgrounds (scientific, engineering, and humanistic) whose work is either focused on or relevant to GeoAI. The conference will offer a common ground to colleagues from various disciplines and practices where they can meet, interact and exchange knowledge, experience, plans and ideas on how GeoAI can be advanced and on how it will influence both science and society.<\/p>\n\n\n\n We invite contributions in the following areas (but not limited to):<\/p>\n\n\n\n You are invited to submit an extended abstract<\/strong> (600-1200 words). The extended abstract should include succinct and sufficient information about research objectives, significance, a clear methodology to ensure reproducibility, and preliminary or expected findings, where applicable. Extended abstracts presenting a vision and\/or opinions are also welcome. <\/p>\n\n\n\n Extended abstracts will be reviewed by three PC members in a single-blind manner<\/strong>. If accepted (after review), you are either invited to give an oral or a poster presentation at the conference (decision by the Program Committee). The accepted extended abstracts will be published in the online proceedings of the conference (with a DOI).\u00a0\u00a0<\/p>\n\n\n\n Extended abstracts must be written in English (any template; please include figures in the text) and submitted in PDF format through the Easychair<\/a> website by If you are interested in present your recent full paper published during the years 2024-2026 in a peer-reviewed scientific journal or scientific conference, please submit a summary (300-600 words) of the paper to GeoAI2026@UGent.be<\/a> by These submissions will be reviewed by the Organising Committee. If accepted, you are either invited to give an oral or a poster presentation at the conference.<\/p>\n\n\n\n We also invite participants from GeoAI companies or organisations to present their GeoAI related solutions at GeoAI 2026. Please contact GeoAI2026@UGent.be<\/a> before 15 March 2026 to provide a brief description of the presentation or demo you have in mind. Note that sponsoring the GeoAI 2026 is also highly recommended. Please see a list of sponsorship packages<\/a>.<\/p>\n\n\n\n We are currently exploring the possibilities of having special issues in reputed journals in computer science and GIScience. More details will follow in February<\/strong>.<\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" Participants and Focus Geospatial Artificial Intelligence (GeoAI), originally grounded in GIScience, Computer Science and related fields, is an emerging discipline that aims to enable machines to learn, reason, and analyze geospatial data in ways similar to humans, and sometimes beyond human capabilities. It seamlessly integrates geographic knowledge or methods with AI to address geographic problems … Continue reading Call for papers<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-14","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/geoaiconference.org\/index.php?rest_route=\/wp\/v2\/pages\/14","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geoaiconference.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/geoaiconference.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/geoaiconference.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/geoaiconference.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14"}],"version-history":[{"count":15,"href":"https:\/\/geoaiconference.org\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":218,"href":"https:\/\/geoaiconference.org\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions\/218"}],"wp:attachment":[{"href":"https:\/\/geoaiconference.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Topics<\/h2>\n\n\n\n
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Submissions<\/h2>\n\n\n\n
20 January 2026<\/s> 03 February 2026 (Anywhere on Earth, i.e., UTC-12)<\/strong>. <\/p>\n\n\n\nPublished-article track<\/h2>\n\n\n\n
20 January 2026 <\/s>03 February 2026 (Anywhere on Earth, i.e., UTC-12)<\/strong>. . Submissions should include a citation with a link to the published article.<\/p>\n\n\n\nSubmissions from industries<\/h2>\n\n\n\n
Post-event publication<\/h2>\n\n\n\n