This global initiative aims to establish an international network of scientists passionate about coastal processes and the application of machine learning techniques. The objective is to foster knowledge exchange, collaboration, and innovation in understanding and predicting coastal processes using cutting-edge data-driven approaches. By organizing online seminars, researchers from around the world can share their expertise, present their findings, and engage in interdisciplinary discussions. This network seeks to be inclusive, welcoming scientists from diverse backgrounds and expertise levels, ensuring a broad range of perspectives. Through this collaborative platform, participants can forge connections, build partnerships, and collectively contribute to addressing the challenges of coastal morphodynamics. By exploring the power of machine learning and promoting open collaboration, this network strives to enhance predictive capability, advance knowledge and promote novel modelling strategies.
COMO MoLA was initiated by Kristen Splinter (University of New South Wales), Harshinie Karunarathna (Swansea University), Daniel Buscombe (USGS), Evan Goldstein (UNC Greensboro), Nadia Senechal (University of Bordeaux), Sean Vitousek (USGS) and Giovanni Coco (University of Auckland).
Since this is a global network, the zoominars will happen at the speaker’s preferred time with the recording posted on this page asap.
Join in using the form at the bottom of this page
Before I train a model... : adventures in developing ML systems for coastal geomorphology
Gaussian Process Regression Approach for Predicting Wave Attenuation through Rigid Vegetation
Kristen Splinter & Giovanni Coco - 23 October 2023
Como Mola: Coastal Morphodynamics in the Age of Machine Learning
Multi-year monitoring of large wood and sediment in a coastal mountain river and its delta using deep learning
Please click on the link below to receive and email about upcoming COMO MoLA zoominars.
You can also use the form to let us know if you want to give a talk!