COSIT 2026

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COSIT 2026

The 17th Conference on Spatial Information Theory (COSIT)

1790035200000York, United KingdomOfficial conference site Site reachable

COSIT 2026 is the 17th biennial international conference focused on theoretical aspects of space and spatial information, held in York, UK, from September 22–25, 2026. It brings together interdisciplinary research on spatial cognition, Geographic Information Science, human-computer interaction, and emerging AI technologies, with this year's theme emphasizing cognition and flows in shaping geographic phenomena.

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Full papers

Full research papers of 12-20 pages (including references) presenting original, mature work; reviewed by three programme committee members; accepted papers are published in the conference proceedings and presented orally (15 min + 5 min Q&A).

Short papers

Short papers of maximum 7 pages presenting late-breaking or in-progress research; reviewed by programme committee members; accepted papers are presented orally (8 min + 5 min Q&A) or as posters; only oral presentations are included in the proceedings, others are shared in a non-archival digital repository.

Journal Article or Book Presentation

Presentations of recently published journal articles or books (2024–2026) on spatial information theory that have not been presented at other major conferences; presented in a special thematic session (6 min + 3 min Q&A).

Research areas in scope

01

COSIT Topics

activity-based models of spatial knowledgebehavioural and cognitive geographycartography and geographic visualisationcausal and statistical models of spacecognitive representations of geographic informationcognitive aspects of urban and transport analysisconcepts of spatial information, such as fields, objects, events, networks, and processescontext awareness in physical and social spacesexperienced and perceived spatial phenomena (e.g. liveability, walkability)explainable geospatial artificial intelligence (GeoAI) and spatially informed AIimagery data and spatial representationknowledge representation for space and timelarge-language models (LLMs) and foundation models (FMs), and their utility in spatial cognition and representationnatural (human) language descriptions of space and placenavigation, wayfinding, and mobility of sentient beings and robotsontology of space and timeplace and spatial information theorysocial and cultural organisation of spacespatial agent-based simulations of human and social phenomenaspatial and temporal languagespatial cognition and neurosciencespatial decision support, impact of model designspatial information retrieval and encoding of geographic textsspatial learning and knowledge acquisitionspatial storytelling and interactive narrativestheory and practice of spatial and temporal reasoningvalidity of spatial information methods

Policies worth checking twice

  • Submissions are double-blind (excluding Journal Article or Book Presentation); authors' names, affiliations, and identifying information must be omitted.
  • Authors must use the third person to refer to their own prior work.
  • All submissions must adhere to the Dagstuhl Publishing statement on the use of Generative Artificial Intelligence (GenAI).
  • Submissions must use the LIPIcs LaTeX template.
  • At least one author of an accepted contribution must register by the registration deadline for the paper to be published or included in the programme.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026