Webinar: The AuScope EarthBank ProjectBuilding Nationally Collaborative Geochemical Research Infrastructure to Enable Discovery.

Webinar: The AuScope EarthBank ProjectBuilding Nationally Collaborative Geochemical Research Infrastructure to Enable Discovery.Webinar 1st July 2025. Register link in the comments.AbstractProf Brent McInnes , AuScope EarthBank Project Director, John de Laeter Centre, Curtin University, Australia.“The AuScope EarthBank project (EarthBank project) is a $21 million national initiative to modernise Australia’s geochemistry data infrastructure and to advance... Continue Reading →

GeoGPT Data Security Risks for Geologists

GeoGPT Data Security Risks for Geoscientists. The Deep-time Digital Earth (DDE) online proprietary GeoGPT Application operated by Zhejiang Lab has data security risks. In the interests of safeguarding the geological community, geologists should be fully aware so they can make informed decisions.Extracts below of a letter published in the ‘Geoscientist’ today of the Geological Society... Continue Reading →

Seabed 2030: BathyGlobe

More global open-access geoscience data. Seabed 2030: Global bathymetry with BathyGlobe and download open-access gridded data."The Nippon Foundation and GEBCO formed Seabed 2030 as an ambitious call to action for humanity to mobilise and accelerate efforts to produce a definitive map of our ocean by 2030 and make it available to all.Understanding our ocean is... Continue Reading →

Querying structured databases in natural language using Large Language Models (Open AI’s GPT-4) for Geoscience Data Analysis

Open access code: Querying one of the largest mineral databases in the world using natural language for co-occurrence mineral analysis and heat map visualization for geoscience data analysis.Interesting paper from Zhang et al (2025) from the University of Idaho connecting Open AI's GPT-4o Large Language Model (LLM) through prompt engineering to the mineral database Mindat... Continue Reading →

World’s First Peer-Reviewed Paper on Artificial Intelligence (AI) Ethics in the Geological Sciences with a focus on Language Models.

Delighted my paper on AI Ethics in the Geological Sciences has been published today in the peer reviewed open access Journal of Geoethics and Social Geosciences!AbstractArtificial Intelligence (AI) offers many opportunities for the geosciences to improve productivity, reduce uncertainty in models and stimulate discovery of new knowledge. There are also risks to geoscience, from the... Continue Reading →

Open-source machine vision model for classifying geological images from documents

Ahead of Earth Science week I've openly released a free machine vision model which automatically classifies geological images from documents. Those that have large archives of geoscience documentation may find this helpful to discover, and potentially repurpose, old geological data for new knowledge.Schools and researchers may also find the model helpful to spark their own... Continue Reading →

Geoscience AI in crisis?

My letter in the 'Geoscientist' raises serious concerns about Artificial Intelligence from the Deep-time Digital Earth (DDE) project, around lack of transparency, state censorship, and potential copyright infringement.DDE is an international geoscience Big Data and AI project endorsed by the International Union of Geological Sciences (IUGS) and led by China. The DDE accords were signed... Continue Reading →

Mapping and understanding Earth: Open access to digital geoscience data and knowledge supports societal needs and UN sustainable development goals.

Excellent paper published this month by Hinsby et al (2024) abstract below:Open access to harmonised digital data describing Earth’s surface and subsurface holds immense value for society. This paper highlights the significance of open access to digital geoscience data ranging from the shallow topsoil or seabed to depths of 5 km.Such data play a pivotal role... Continue Reading →

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