Introduction: Dr Robert P. Schumaker is an Associate Professor of Computer Science at the University of Texas at Tyler. He received his PhD in MIS from the University of Arizona in 2007, an MBA degree in Management and International Business from the University of Akron in 2001, and a Bachelors of Science degree in Civil Engineering from the University of Cincinnati in 1997. Rob is also the Associate Editor for Decision Support Systems, past editor for Communications of the International Information Management Association, has authored a book on Sports Data Mining, several book chapters, multiple journal articles in DSS, ACM TOIS, CACM and JASIST as well as had his research featured in the Wall Street Journal and numerous other media outlets. In textual-financial prediction, Rob created the AZFinText system to examine the relationship between financial news articles and their impact on stock market prices. This project utilizes various textual representation schemes, price prediction models and machine learning techniques to accomplish profitability in extreme near-term trading. Based on the premise that unexpected news events can shape the price of a stock, this system capitalizes on automatically identifying the relevant keywords in the news article and then executing a trade well-before human traders have a chance to read the news article. Robert P. Schumaker is a Senior Member and has been a member of ACM since 2004. He has been involved with ACM through publishing articles in ACM outlets such as ACM Transactions on Information Systems and Communications of the ACM. Rob also started a professional ACM chapter in the Greater Hartford Connecticut area.