Gavin A. Schmidt, Director, NASA Goddard Institute for Space Studies
Scott St. George, Head of Weather and Climate Research, WTW

Studying climate processes and their history helps scientists understand how and why changes occur in the Earth’s climate. Conclusions that converge on similar answers despite incomplete data can increase confidence in the accuracy and predictions derived from climate models. Achieving this kind of reproducibility, which increases the credibility of future projections made with these models, raises key questions. How can climate scientists develop data formats and produce open-source software that facilitate transparent workflows in the face of sparse resources? Are climate model projections reproducible by other groups? How can physical specimens that are often unique (e.g., sediment cores) be archived sustainably, and will science agencies prioritize preserving irreplaceable collections to facilitate replicability?

Join us for a conversation to probe these critical questions at the intersection of science and society.

Parking in the surface lot parking entrance off of Larpenteur Ave will be validated at the event. Please bring your parking ticket.