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COSIT 2026: International Conference on Spatial Information Theory

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截稿日期:
2026-04-17
通知日期:
2026-05-15
会议日期:
2026-09-22
会议地点:
York, UK
届数:
17
CCF: C   QUALIS: B1   浏览: 65602   关注: 19   参加: 3

会伴指数 (CP-I)

65.5 / 100
全站第 420 名 / 共 5,683 个会议 · 前 8%

理论与算法 第 30 / 142

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
78
社区关注 (10%)
51
资料公开度 (15%)
50

用到的输入: 收录等级：CCF C, QUALIS B1 · 有据可查的届次：17 · 在会伴关注它的研究者：19 人 · 过去 24 个月打开过本页的研究者：18 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-21

征稿

COSIT 2026 (International Conference on Spatial Information Theory) is a CCF C / QUALIS B1 conference held in York, UK on 2026-09-22. The paper submission deadline is 2026-04-17. Acceptance notifications are sent on 2026-05-15.

We are delighted to announce that the 17th edition of the Conference on Spatial Information Theory (COSIT) will be held in York, United Kingdom, from September 22nd to 25th, 2026! Established in 1993, COSIT is a biennial international conference series concerned with theoretical aspects of space and spatial information. Spatial information theory examines how space and the external environment is experienced, represented, and communicated by humans, agents and machines. With the goal of advancing the field of spatial information science and its bordering research areas, work presented at COSIT has explored how decoding and making sense of space shapes human agency in different contexts. Spatial information theory builds on a variety of perspectives on space; it advances computational models of spaces, it challenges consolidated methods in spatial analysis and Geographic Information Science and addresses how cognitive representations of space can be incorporated in formal models of space, at different scales, from geographic to personal space. We welcome contributions from across any areas under the COSIT topics listed below. This COSIT’s edition theme will be Cognition and Flows, recognising the value of considering the cognitive foundations of human behaviour and their role in shaping large-scale geographic flows and interactions. Given the growing wealth in large, detailed behavioural and environmental data capturing the real world, never have we had such opportunity to close the gap between our understanding of human spatial behaviour and aggregated flows e.g., mobility, migration, inequalities, economic activity, spread of information, etc. In addition to any topics related to spatial information and cognition, we particularly encourage submissions that explore how cognition and behaviour shape the production of flows, their evolution, and ultimately influence the nature of spaces and societies. COSIT Topics COSIT is an intensive, single-track conference held over four days, featuring paper presentations and special thematic sessions. It presents original research that spans a wide range of interdisciplinary topics, such as spatial cognition, wayfinding and navigation, spatial reasoning, place and space, human computer interaction, intelligent agents, urban analytics and their interactions with other disciplines, including spatial analysis, Geographic Information Science, neuroscience, cartography, philosophy of mind, and computer science. We welcome contributions covering conference-relevant topics, such as but not limited to: activity-based models of spatial knowledge behavioural and cognitive geography cartography and geographic visualisation causal and statistical models of space cognitive representations of geographic information cognitive aspects of urban and transport analysis concepts of spatial information, such as fields, objects, events, networks, and processes context awareness in physical and social spaces experienced and perceived spatial phenomena (e.g. liveability, walkability) explainable geospatial artificial intelligence (GeoAI) and spatially informed AI imagery data and spatial representation knowledge representation for space and time large-language models (LLMs) and foundation models (FMs), and their utility in spatial cognition and representation natural (human) language descriptions of space and place navigation, wayfinding, and mobility of sentient beings and robots ontology of space and time place and spatial information theory social and cultural organisation of space spatial agent-based simulations of human and social phenomena spatial and temporal language spatial cognition and neuroscience spatial decision support, impact of model design spatial information retrieval and encoding of geographic texts spatial learning and knowledge acquisition spatial storytelling and interactive narratives theory and practice of spatial and temporal reasoning validity of spatial information methods
由 Dou Sun 最后更新于

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