Conference Information

SAGT 2026: International Symposium on Algorithmic Game Theory

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SAGT
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Submission Date:
2026-05-20
Notification Date:
2026-07-09
Conference Date:
2026-09-15
Location:
Augsburg, Germany
Years:
19
CCF: C   ICORE: B   Viewed: 14816   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

58.4 / 100
Ranked #659 of 5,682 conferences · Top 12%

#43 of 142 in Theory & Algorithms

Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
81
Community attention (10%)
18
Public record completeness (15%)
35

Inputs used: Listed as CCF C, ICORE B · Editions on record: 19 · Researchers who opened this page in the past 24 months: 10

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 80% - 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 2026-09-16

Call For Papers

SAGT 2026 (International Symposium on Algorithmic Game Theory) is a CCF C / ICORE B conference held in Augsburg, Germany on 2026-09-15. The paper submission deadline is 2026-05-20. Acceptance notifications are sent on 2026-07-09.

The 19th International Symposium on Algorithmic Game Theory (SAGT) will be held at the University of Augsburg, Germany, on 15-18 September 2026. The purpose of SAGT is to bring together researchers from Computer Science, Economics, Mathematics, Operations Research, and related fields to present and discuss original research at the intersection of Algorithms and Game Theory. Foundational work is solicited on topics including but not limited to: • Solution Concepts in Game Theory • Efficiency of Equilibria and Price of Anarchy • Computational Aspects of Equilibria • Learning and Dynamics in Games • Game Theoretical Aspects of Networks • Auction Design and Analysis • Algorithmic Contract Design • Mechanism Design and Pricing • Internet Economics and Computational Advertising • Reputation, recommendation and trust systems • Economic Aspects of Distributed Computing • Blockchain and Cryptocurrencies • Decision Theory and Information Design • Computational Social Choice and Fair Division • Market Design and Matching Markets • Cooperative Game Theory
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