Conference Information

CogSIMA 2027: IEEE Conference on Cognitive and Computational Aspects of Situation Management

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CogSIMA
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Submission Date:
2026-11-13 Due in 56 days
Notification Date:
2027-02-25
Conference Date:
2027-06-01
Location:
Veszprém, Hungary
Years:
Viewed: 22966   Tracked: 1   Attend: 2

Conference Partner Index (CP-I)

53.0 / 100
Ranked #1,044 of 5,682 conferences · Top 19%
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
78
Community attention (10%)
17
Public record completeness (15%)
55

Inputs used: Editions on record: 17 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-18

Call For Papers

CogSIMA 2027 (IEEE Conference on Cognitive and Computational Aspects of Situation Management) is an academic conference held in Veszprém, Hungary on 2027-06-01. The paper submission deadline is 2026-11-13. Acceptance notifications are sent on 2027-02-25.

Topics of Interest Situation sensing, perception, comprehension, and prediction “Big Data” analysis and social media processing for situation awareness Cognitive information fusion Integration of human and signal intelligence, cyber-physical-social systems Models of collaboration and emergent behavior in cognitive multiagent systems Situation recognition in autonomous systems and autonomous vehicles Situation assessment in Reinforcement Learning and Deep Learning Generative AI and Explainable AI for situation awareness and situated human-machine interaction Cognitive Situation Management with Neuroergonomics and Brain-Machine Interface Biologically-inspired computational models of situation management Approaches to spatial and temporal reasoning, reasoning about goals, intentions and actions Models of human-machine collaboration Performance evaluation and metrics of human- machine systems including human-AI teaming Ontology-based computing, context modeling and discovery, situation modeling, representation and identification Systems, platforms and tools for situation awareness, situation control, and decision support System-level experiments and application-specific research
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