The long program’s goal is to identify emerging trends and interactions between nonlinear algebra, geometry, combinatorics with data science, machine learning, social sciences, economics, and ecology. To this end, our introductory workshop will outline the mathematical and computational tools that algebraic statistics offers for the fundamental problem of statistical inference and modeling, as well as identify themes that the program will aim to develop. Lectures will cover algebraic statistics basics in terms of focused applications to establish a common language for participants of the program coming from varying disciplines. One outcome of this workshop will be short introductory videos about key concepts of algebraic statistics.