Embracing open science principles to improve reproducibility in Environmental Data Science

AI Reproducibility Webinar
Speaker: Alejandro Coca-Castro, Research Fellow at The Alan Turing Institute
Date: December 5, 2023
Abstract: Transparency and reproducibility are crucial in establishing trust in computational research. This presentation explores the concept of reproducibility in Environmental Data Science, encompassing its definition, challenges, and community-driven solutions. It highlights the 2023 Climate Informatics Reproducibility Challenge. Guided by the principles of open science, international teams successfully replicated key findings from a paper in the Environmental Data Science journal, with the aim of integrating their work into the gallery of computational notebooks of the Environmental Data Science book (EDS book), www.edsbook.org. The challenge featured expert lectures, personalized support, and networking opportunities. The winning and runner-up notebooks are now part of the EDS book, offering valuable insights into the challenges faced when reproducing computational results in environmental science. Join us on this engaging experience into the world of open science, reproducibility, and cutting-edge research in Environmental Science.
Webinar Sponsored by: The FAIR in ML, AI Readiness, & Reproducibility RCN: www.farr-rcn.org/