Speaker
Description
Historical observations play an important role in understanding past solar activity and any changes that may have occurred with respect to the sun. The current state of most historical data is not well-suited for modern data analysis, including artificial intelligence and machine learning. Most data sets are also not well discoverable and are at risk of being lost. This leaves historical data often overlooked and underutilized. This presentation will focus on recent work (including citizen science projects) to identify critical historical data, digitize, create appropriate metadata, and make it ready for modern usage, such as AI/ML. Along with a discussion on how the community may play a role in helping to identify and facilitate access to at-risk historical archives.
