On 9–10 April 2026, we hosted the second Advances in Spatial Machine Learning workshop, bringing together leading researchers to discuss current challenges and emerging directions in the field.
The two-day event focused on open questions in spatial machine learning, including model validation, preservation of spatial patterns, explainable AI (xAI), and common methodological pitfalls. Participants also explored recent developments such as foundation models and discrete global grid systems (DGGS).
The workshop provided a collaborative and discussion-oriented environment, encouraging exchange of ideas across disciplines and highlighting key areas for future research. It also contributes to advancing the spatial machine learning modelling approaches used in the WaterSmartLand project.
