Teaching

Teaching Interests


  • Computational Social Science
  • Data Science
  • Machine Learning
  • Public Administration
  • Public Policy
  • Research Methods

Teaching Statement and Philosophy


I enjoy teaching opportunities and presenting opportunities. It is fulfilling to see the light bulb turn on, comprehension extended, and application of content. My teaching interests are Computational Social Science, Data Science, Machine Learning, Public Administration, Public Policy, and Research Methods. I want to teach Undergraduate, Master, and Ph.D./Doctoral students in the Public Administration domain and the Public Policy domain. I want to train Undergraduate, Master, and Ph.D./Doctoral students to become researchers and to employ computational methods such as Data Science and Machine Learning as part of research methods which lends itself to Computational Social Science. Computational Social Science is employing computational methods such as Data Science and Machine Learning to inform and solve complex, tame, and wicked problems in Social Science.

Being a Public Sector practitioner for over a decade, I bring theory and practice to the classroom. Through my graduate school training, research projects, and non-research projects, I bring theory and practice to research training and computational methods training. One of my inspirations for my teaching interests and research interests is Dr. Herbert Simon who is revered in Public Administration, Psychology, Economics, and Computer Science. He was one of the first scholars to contribute to Artificial Intelligence before Artificial Intelligence was formerly characterized. He wrote “The Sciences of the Artificial” book which is included in my library. Artificial Intelligence, including the subdisciplines such as Data Science and Machine Learning, is not a private club of the Computer Science discipline and the knowledge, skills, and abilities can be adapted by other disciplines such as the Social Sciences. There is a global human resource challenge in finding individuals from various domains that do programming; statistics; data wrangling to a tidy format in preparation for data analysis and data visualization; and employ Machine Learning algorithms. My teaching aim and training aim is to contribute and increase student’s knowledge economy which will extend their creative economy.


Teaching Domains


Public Administration Domain


Public Policy Domain


Relevant Experience


Valdosta State University

Doctor of Public Administration (DPA) Discussion Leader, Department of Political Science, (July 2020-December 2020)

  • DPA Discussion Leader in PADM 7360 Planning and Implementing Electronic Government.
  • Contributed to curriculum planning and course syllabus.
  • Developed and led course Module 4: Public Knowledge: Access and Benefits in Week 4 – September 8-14, 2020 and Module 6: International and Comparative E-Government in Week 7 – September 29-October 5, 2020 and Week 8 – October 6-12, 2020 to Master and Doctoral of Public Administration Students.
  • Module 6 was primarily developed by April Heyward’s Quantitative Study titled “Measuring the Effectiveness of E-Government Delivery Modules” approved by Valdosta State University IRB – Protocol Number –  03979-2020.
  • Module 4 and Module 6 contributed to Expected Course Outcome 1 – Describe and explain the Stages of Electronic Government; Expected Course Outcome 2 – Explain the significance of e-democracy and the digital divide, and other current issues in E-Government; Expected Course Outcome 3 – List and describe legislation effecting the Internet and statutes that effect the implementation of E-Government; and Expected Course Outcome 4 – Describe at Least Five Ways the Internet Can Help a Government or Nonprofit Organization’s Responsiveness to Its Constituents.
  • Selected Assigned Readings for Module 4 and Module 6 and linked to Expected Course Outcomes.
  • Module 4 Assigned Reading – TextPublic Knowledge: Access and Benefits Edited by Miriam Drake and Donald Hawks – Chapter 1 – “The Relationship Between Citizen Information Literacy and Public Information Use” by Forest “Woody” Horton, Jr.
  • Module 6 Assigned Readings – Use of Social Media in Canadian Public Administration: Opportunities and Barriers (Gintova, 2019); E-Government Between Developed and Developing Countries (Nawafleh et al., 2012); Using E-Government to Reinforce Government-Citizen Relationships: Comparing Government Reforms in the United States and China (Seifert and Chung, 2009); Where Are E-Governments in South Asian Countries? A Comparative Approach (Seo and Mehedi, 2015).
  • Developed Module 4 and Module 6 Discussion Questions linked to Assigned Readings.

Valdosta State University

Discussion Leader, Department of Political Science, Fall 2018 Semester

  • Discussion Leader in PADM 9030 Logic of Inquiry course in the Doctor of Public Administration (DPA) Program.
  • Organized and led “Mixed Method Approaches to Research Design” to 1st Year Doctor of Public Administration (DPA) Students.
  • Outlined notes and developed discussion questions on assigned readings and responded to student responses to discussion questions.
  • Required Textbook – Research Design: Qualitative, Quantitative, and Mixed Methods Approaches – John Creswell and J. David Creswell – 5th Edition – Sage Publishing.

Morris College

Guest Lecturer, Division of Natural Sciences and Mathematics, (March 2017)

  • Lecture conducted at Morris College Division of Natural Sciences and Mathematics Scientific Lecture Series
  • Lecture titled “The Importance of STEM Workforce Development: The Role You Play

University of Central Florida

Discussion Leader, Master of Research Administration (MRA) Program, Spring 2012 Semester

  • Discussion Leader in PAD 5850 Grant and Contract Management course in the Master of Research Administration (MRA) Program.
  • Organized and led “Legislative Impact on Grant Management” to 1st Year Master of Research Administration (MRA) Students.
  • Outlined notes; developed discussion questions; posted notes, links, and videos in Canvas; and responded to student responses to discussion questions.
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