The Game Analytics Workshop (GAW) aims to act as a unifying point for researchers and practitioners interested in Game Analytics and to help connect industry and academia. Given the recent introduction of Game Analytics as a domain of research crossing into many of the traditional areas of games research, there is as yet a limited number of publications in the domain, and virtually no standards or accepted principles in the field, across research and industry. To address these issues the workshop aims to discuss and assess the state-of-the-art in Game Analytics and the current major challenges in the domain across industry and academia, including academia-industry collaborations, integrating applied and basic research and developing standards.
Contributions for GAW'19 should be formatted for double blind review (i.e. without any author or affiliation information) and submitted through Easychair. The program committee will review all submissions. Accepted papers will be published in CEUR Workshop Proceedings (indexed by Scopus and Google Scolar).
Aligned with this year's special topic of AIIDE, the main topic of this workshop will be Explainable and Informed Game Analytics. In this regard, together with the main analytics topics, we encourage paper submissions introducing or applying explainable and informed analytics models to a variety of game analytics use cases covering, for instance, recommender systems, e-sports analytics, behavior prediction, social network analysis and market-process optimization.
See the CfP page more information.
This is a full-day workshop including:
For details see the pages: Tutorials, Keynotes and Program.
For questions and comments please contact the organizers at: gaw19@easychair.org