April Heyward is a Public Sector Practitioner, Adjunct Faculty, Public Administration Doctoral Researcher, R Programmer, and ASPA (American Society for Public Administration) PA (Public Administration) Times Columnist. She is the Program Manager for the SC EPSCoR (Established Program to Stimulate Competitive Research) Program which is a science-driven state-based National Science Foundation (NSF) program. She is an Adjunct Faculty in the Master of Public Administration (MPA) Program in the Department of Political Science in the School of Humanities and Social Sciences at the College of Charleston. She is credentialed to teach PUBA 601 Research Methods for Public Administration, PUBA 602 Public Policy, and PUBA 604 Managing Human Resources courses. Her teaching and research interests are Computational Social Science, Data Science, Decision Science, E-Government, Machine Learning, Public Administration, Public Policy, Research Methods, and Social Media Research. April is integrating Data Science and Machine Learning algorithms and employing R programming specifically RStudio into her research, research methods, and non-research projects. Her long-term research focus is how Data Science and Machine Learning can inform and solve complex problems in Public Administration, Public Policy, and the other sub-disciplines of Social Science. April is pursuing her Doctorate in Public Administration in the Department of Political Science in the College of Humanities and Social Science at Valdosta State University. She is in the Dissertation phase of her Doctoral Program. For more information on April Heyward, please visit the website tabs (including the sub tabs) on the left hand side of the website.