The project Digital Twins For Tailings Dams has won the Data Sciences & AI-Enabled Solutions prize at the COP28's Prototypes for Humanity initiative, which finds innovative solutions for social and environmental issues.
The research project Digital Twins 4 Tailings Dams, is a satellite-based early warning system to monitor the stability of tailings storage facilities (TSFs), preventing potential catastrophic failures.
The research group is formed by PhD student Maral Bayaraa and Dr Cristian Rossi from the University of Oxford and Dr Brian Sheil from The Laing O'Rourke Centre, University of Cambridge.
Learn more about Maral's PhD research, supervised by Dr Brian Sheil, on how satellites and AI can help transition to greener energy.
About the award:
The Prototypes for Humanity Awards celebrate the next generation of innovators and their commitment to finding solutions for social and environmental issues.
Since 2017, prizes have been presented to outstanding participants from the showcase each year, awarded to academic innovators who use problem-solving to address challenges of global proportions.
In 2023, $100,000 in prizes were presented behind each of the best solutions across five categories, reflecting key COP28 themes: Nature, Food, and Water systems; Health, Relief and Safety; Energy, Efficiency and Waste; Education, Equality and Communities; and Data science and AI-enabled solutions.