Some interesting research on how employees use Open AI's ChatGPT. Whether its private sector companies, non-profits or governments funding these online proprietary chatbots, and whether they are generic or built to target a domain vertical, we need to raise awareness. Once sensitive data from your company or organisation is uploaded (through an API or user... Continue Reading →

Researchers at Imperial College London, draw on geological data science to reveal regions that can host giant earthquakes, regardless of the history of seismic activity. Including in places where none have occurred in the last 100 years.“We hope that by using the geological data itself as the principal indicator of risk potential, we can tap... Continue Reading →

The subsurface: our hidden asset. How geoscience knowledge and data supports government priorities. Excellent summary from the BGS.“While often ‘out of sight, out of mind’, the subsurface is a natural habitat, a source of critical resources, and a space for the infrastructure that underpins modern economies; in the coming decades the drive for urbanisation, innovation... Continue Reading →

Assessing named entity recognition by using geoscience domain schemas: the case of mineral systems. Excellent paper published in Frontier Earth Sciences by Villacorta Chambi Sandra Paula , Lindsay Mark , Klump Jens , Gessner Klaus , Gray Erin , McFarlane Helen (2025).AbstractNamed Entity Recognition (NER) is crucial for accurately extracting and classifying specialized domain terms... Continue Reading →

Government officials, industry chairs, technical experts and academics recently participated in a round table on how subsurface data sharing can drive sustainable development. I took part representing Robert Gordon University, attended by Members of Parliament, Government, Business and Academia. Report write up in the magazine link below. https://www.geplus.co.uk/features/round-table-the-economic-environmental-and-social-benefits-of-subsurface-data-sharing-07-05-2025/

Seismic hazards 3d Earth Viewer Open Data. Earthquakes on land and in the oceans with magnitude >=6 from the US Geological survey catalogue from 1970 to recent. Uses hypocenter point radius animation based on date and time of the earthquake event.From the University of Washington and partners to help foundation K12 education. Link in the... Continue Reading →

A Two-Step Approach to Training Earth Scientists in AI. Researchers learned machine learning methods during a boot camp, then applied their new knowledge to real-world research problems during a hackathon.Interesting article this week from Pacific Northwest National Laboratory (PNNL) on their two step training process for earth sciences. Sharing some quotes below, link in the... Continue Reading →

Thoroughly enjoyed participating in the European Geosciences Union (EGU) Great Debate on Large Language Models (LLM) in the Geosciences. A big thank you to the organisers, convenors, my esteemed panel members and everyone who joined the debate for their time and questions.In 1hr 45min we only scratched the surface! Link to the video here: https://meetingorganizer.copernicus.org/EGU25/session/54301In... Continue Reading →