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Call for Participation for the 2025 Computational Social Science Society of the Americas (CSSSA) conference, which will be held in Santa Fe this November. It’s a great little conference—intimate (single track), interdisciplinary, and full of interesting work from people using CSS methods in a wide range of contexts. CSSSA has been running this conference for nearly 20 years and it consistently draws a vibrant, engaged community.
Spatial and temporal thinking is important not just because everything happens at some places and at some time, but because knowing where and when things are happening is key to understanding how and why they happened or will happen. Spatial data science is concerned with the representation, modeling, and simulation of spatial processes, as well as with the publication, retrieval, reuse, integration, and analysis of such space- and place-centric data.
The Statistical analysis of spatial Data in Agro-Environmental research summer school (SDAE) aims to present statistical analysis of agro-environmental data at different scales, from catchment to regional scale.