Near-surface geophysics generates high-resolution spatial and temporal data that are critical for addressing global challenges such as climate change, water security, and the energy transition. At the same time, open-source and AI-driven tools are transforming how geophysics is practiced. Open ecosystems—spanning software, datasets, and documentation—enable transparent, reproducible, and collaborative workflows, while advances in machine learning and artificial intelligence accelerate data interpretation, uncertainty quantification, and decision-making.

We invite contributions that explore: (1) the development or application of open-source and AI/ML tools to advance near-surface geophysics; (2) integration of physics-based modeling with data-driven approaches; and (3) the use of open and intelligent tools to improve communication and accessibility for non-specialist audiences. We especially encourage submissions highlighting real-world impact, including case studies, novel software, and community-driven initiatives that demonstrate the power of open, reproducible, and intelligent geophysics.

• GP - Geomagnetism, Paleomagnetism and Electromagnetism
• MR - Mineral and Rock Physics
• S - Seismology