Call for Papers
TOPICS AND THEMES
The 1st GenAI4MoDa workshop aims to build a community in this area and set the stage for its current research developments from the Academia and the industry. GenAI4MoDa aims to complement the list of relevant topics of the original MDM call for papers, encouraging submissions in the following areas:
Supervised learning for Mobility Data data
Supervised learning for Geographical Data
Generalization/transfer learning on Mobility Data
Incremental learning for Mobility Data
Metrics design for GenAI4MoDA systems
Human evaluation design for GenAI4MoDA systems
Human interfaces for GenAI4MoDA systems
Prompt engineering for GenAI4MoDA systems
Applications of GenAI4MoDA in practical/industry settings
Fairness, Accountability, Transparency, Ethics, and Explainability (FATE) of GenAI4MoDA systems
Privacy Preservation and Data Leakage Prevention in GenAI4MoDA systems
SUBMISSION GUIDELINES
Originality: submissions must be original (i.e., not submitted to or accepted to other venues); however, we welcome extensions or revisions of published papers. Also, we encourage submitting early-stage work or position papers.
Anonymity: submissions are not required to be anonymous (single-blind).
Paper Formatting: submissions of papers must be in English, in PDF format, be at most 6 pages in length (including references), and follow the IEEE Computer Society Proceedings Manuscript Formatting Guidelines. Suitable LaTeX, Word, and Overleaf templates are available at https://www.ieee.org/conferences/publishing/templates.html.
Submission Link: all papers must be submitted using easychair through the following link: https://easychair.org/my/conference?conf=genai4moda