Mineral resources, in particular critical mineral-metal deposits, are becoming more important to societal needs as we progress to a greener economy. Since the Industrial Revolution, we have already been an epoque where we need more metal output too much greater than present production. The important portion of this output is of critical metals in order to use in green technologies. We need more and fast mining with responsibility and sustainability. Considerable advances have been made in most fields of understanding mineral resources, building more holistic models from all aspects of geoscience. These exciting advancements have led to important changes in how we look at dissecting magmatic hydrothermal systems. We welcome all contributions to mineral resources science and models for ore-forming systems.

Landslides can have devastating direct and indirect consequences, including fatalities, property damage, loss of livelihoods, and the transfer of sediment across a wide range of environments, from steep mountainous terrain to gentle hillslopes. Frequently occurring within multi-hazard contexts, landslides may be preconditioned or triggered by earthquakes, intense or prolonged rainfall, wildfires, land use changes, and other human-related activities. In turn, they can give rise to secondary hazards such as flash floods or landslide dams, forming complex cascading events. Addressing landslide phenomena remains a major challenge for the geoscience community, requiring a comprehensive understanding of underlying processes and thorough assessments of hazard, vulnerability, and risk. The implications of ongoing climate change further complicate the framework. This session aims to bring together researchers working across the full spectrum of landslide science. Its scope spans from local to global scales, encompassing empirical studies of landslide process chains, advances in modeling and monitoring techniques, innovative methods in landslide susceptibility, hazard and risk assessment, state-of-the-art approaches to landslide prediction and early warning, assessments of socio-economic vulnerability, and investigations into the interactions between landslides, human activities, and other natural extremes.

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Land subsidence occurs at various scales, ranging from meter-sized sinkholes to large depressions hundreds of meters long, to much wider-scale subsidence zones. The processes involved are solutional and mechanical removal of subsurface material, at varying rates depending on the rock solubility and hydro-mechanical conditions. Whether subsidence can be monitored and predicted both in time & space, strongly attracts current research foci, as it influences the hazard and damage that this phenomena can produce. Triggers of subsidence, whichever scale, are still poorly understood and range from hydro-mechanical processes, over earthquakes, storm surges and wave actions, over human influence such as mining and water management. Often subsidence may occur as or trigger secondary hazards such as landslides and rock-falls, so multi-cascade events are also common.

Due to the variety of the relevant deep, near-surface and surface processes and the background conditions, not a single method stands out for monitoring subsidence. In fact, a multi-method approach is necessary to answer questions related to triggers, monitoring and early-warning. This session aims to bring together researchers working across all scales of subsidence science. We hence invite contributions from different geoscientific fields and different methodological approaches, such as (but not limited to) remote sensing, AI-supported methods, GNSS, field-surveys with geological mapping, hydrogeophysics, seismological observation and numerical modeling.

Please feel free to download and share the call for papers.