Students will be introduced to research studies that examine unstructured data (e.g., textual) and/or use non-traditional research methods (e.g., machine learning). This will include research in economics, finance, and marketing as well as accounting. We will focus primarily on popular textual measures (e.g., sentiment, readability, and similarity) and machine learning methods (e.g., Naïve Bayes and Support Vector Machines). The focus will be both on learning the underlying techniques, as well as developing an understanding of the relevant economic contexts in which to apply them to accounting questions.