Conference topics include, but are not limited to, the following:

Planetary data architectures, management, and data technologies
Scalable data management and database systems, planetary information models and semantic technologies, search architectures and technologies, cloud-based architectures, application of open-source data technologies.

Scalable data processing
Software frameworks and systems for processing planetary data, automated workflow systems, integration of HPC and cloud computing for data processing.

Data-driven discovery and analytics
Methods and machine learning techniques for feature extraction and classification from planetary data, integration of search and data analytics, automated metadata tagging, ground-based and on-board data triage, data fusion, analytics on data pipelines for computation, data discovery, event detection, and reduction.

Visualization
Planetary GIS technologies, tools for image analysis of different planetary bodies, planetary applications of VR technologies.

Science applications
Application of data technologies, including ML and AI, to planetary missions and science investigations supporting open science, data processing, archiving and analysis, applications to ground systems including science data centers.

Planetary data archiving
PDS4 data standards, tools for data preparation and ingestion, search and interoperability across archives, planetary data archives in the cloud, online data distribution services.