AIIDE 2024 invites PhD students to submit an abstract to the Doctoral Consortium.
All deadlines are 11:59 PM AoE (anywhere on earth) time (UTC-12).
Submission Deadline: July 3, 2024 July 26, 2024
Notification: August 23, 2024
Publication-ready (Camera-ready) Deadline: September 6, 2024
The AIIDE doctoral consortium offers an opportunity for PhD students to get feedback on their research direction from senior researchers and the broader AIIDE community. The doctoral consortium is intended for students at one of two phases of their PhD:
Students preparing to choose their dissertation focus, where feedback can have an impact on the choice of topic and dissertation proposal (where applicable).
For these students the DC offers an opportunity to get guidance on their dissertation topic.
Students preparing to graduate and enter the job market.
For these students the DC offers an opportunity to learn more about career options in academia or industry and the associated application and recruitment processes.
Students will submit a summary of their work to date and prospective research directions. The doctoral consortium will pair students with senior members of the AIIDE community to provide mentorship and feedback appropriate to the stage of the PhD the student is in. Doctoral Consortium participants will also have the opportunity to present their work orally to the broader AIIDE community at the conference to build further connections with the community and garner additional feedback on their dissertation work.
All submission should be made via EasyChair in the Doctoral Consortium Track.
Submissions should provide an overview of the student’s proposed or completed dissertation research as a 3-page abstract (plus 1 page of references) in PDF format. The document should use AAAI two-column, camera-ready style (see the AAAI Press Author Kit). Submissions should not be anonymized; please also indicate which of the above PhD phases you would find feedback most helpful for. Students should also provide an academic CV for the program committee to assess the candidate’s prior research activity and facilitate matching with a senior mentor. Accepted abstracts will be published with the conference proceedings and will be archived in the AAAI digital library. Thus, submissions should be prepared as any other archival paper with respect to the material included. CVs will only be used for reviewing purposes and will not be published.
Submissions will be reviewed for their relevance to AIIDE, quality, and the potential benefits of the student’s participation in the consortium (both to the student and conference). The AIIDE Doctoral Consortium is committed to excellence through diversity and strives to be inclusive of applicants via a climate that welcomes, celebrates, and promotes respect for the contributions of all researchers. Potential applicants are encouraged to contact the Doctoral Consortium Chair to discuss and receive feedback on their application, or to provide an introduction to the AIIDE community.
Submissions to the doctoral consortium should follow the same policies as the main papers track.
This is a non-comprehensive list of topics of interest to AIIDE. Submissions in areas of general relevance to the AIIDE conferece are encouraged.
AI in Games for Entertainment
AI for Education and Educational Games
Serious Games/Games for Change
Intelligent Training and Intelligent Tutoring Systems
AI-Enabled Authoring Tools
AI for Design and Production
Mixed Initiative Tools
Procedural Content Generation
Believable Virtual Agents
AI for Interactive Narratives/Experience Management
Computational Models of Narrative
AI for Level Design
Player Modeling and Analytics
Procedural Animation and Expressive Motion
Intelligent Cinematography
Computational Creativity
AI in Artistic Performance
Evaluation Methodologies and User Studies
Culturally-Situated Entertainment AI
Machine Learning and Reinforcement Learning in Games
Multi-Agent Systems in Games
Natural Language Processing in Games
Robots in Entertainment
Interactive Installations
Crowd-Sourcing and Citizen Science
AI in Virtual and Mixed Realities
Ethics of AI and Entertainment
Heuristic Search and Planning
Pathfinding and Path Planning