Understanding Data Models

This lecture delves into the importance of data models, discussing how they are essential for understanding climate change and other scientific phenomena. It explores the challenges of handling big data, emphasizing the impact of uncertain data sources on research integrity and scientific progress. The instructor presents examples of how an abundance of data can sometimes hinder existing methods and examines the implications of big data on scientific disciplines and communication infrastructure.