Earlier this week Zhe Sha gave an invited talk at the TIES-GRASPA 2017 conference on Climate Climate and Environment in Bergamo, Italy. Her presentation (‘Bayesian estimation of global glacial isostatic adjustment for sea level rise re-evaluation‘) provided an explanation of how we are using a Bayesian Hierarchical Model (BHM) to develop a data-driven global solution for glacial isostatic adjustment (GIA).

TIES-GRAPSA 2017 was the 27th annual conference of The International Environmetrics Society (TIES), held jointly with the Italian environmetricians group GRASPA, and was a satellite meeting of the 61st World Statistics Congress (ISI2017) in Marrakesh. TIES is a non-profit organization that promotes the participation of statisticians, mathematicians, scientists and engineers in the solution of environmental problems, and emphasizes the need for collaboration and for clear communication between individuals from different disciplines.

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