Statistical seismology is the application of rigorous statistical methods to earthquake science with the goal of improving our knowledge of how the earth works. Within statistical seismology there is a strong emphasis on the analysis of seismicity data in order to improve our scientific understanding of earthquakes and to improve the evaluation and testing of earthquake forecasts, earthquake early warning, and seismic hazards assessments. Given the societal importance of these applications, statistical seismology must be done well. Unfortunately, a lack of educational resources and available software tools make it difficult for students and new practitioners to learn about this discipline. The goal of the Community Online Resource for Statistical Seismicity Analysis (CORSSA) is to promote excellence in statistical seismology by providing the knowledge and resources necessary to understand and implement the best practices.

CORSSA covers a variety of themes:

1. Introductory Material
2. Introduction to Basic Features of Seismicity
3. Statistical Foundations
4. Understanding Seismicity Catalogs and Their Problems
5. Models and Techniques for Analyzing Seismicity
6. Earthquake Predictability and Related Hypothesis Testing

Each of these themes includes a series of articles that are listed in the CORSSA Table of Contents. The series of themes was devised to make it easy for the reader to focus on their personal requirements to get an introduction to statistical seismology (Theme I), or to learn about the basics of earthquakes (Theme II), statistics (Theme III), and/or the intricacies of seismicity catalogs (Theme IV) before moving onto applications found in Theme V and Theme VI.