Joseph C. Robertson, PhD
Completed Doctoral Research (PhD)
Joseph Robertson (2018).“The Impact of Data Sovereignty on American Indian Self-Determination: A Framework Proof of Concept using Data Science”. Department of Mathematics and Statistics, South Dakota State University.
Completed Master's Research (M.S.)
Joseph Robertson (2014). “A Comparative Verification Study of Seasonal Outlooks Using Neural Networking and Historical Analog Strength Tools in South Dakota and Neighboring Climate Divisions.” Department of Mathematics and Statistics, South Dakota State University.
Thomas Horan, Joseph Robertson, Joseph Mbugua (2018). Using GIS to Improve Tribal Safety: Applications, Trends, and Implementation Dimensions (CTS 18-19). Roadway Safety Institute, University of Minnesota.
Native American Technology Research Center (2018). Build Effective Land Management through GIS. Info-Tech Research Group.
Mato Ohitika Analytics Current Research & Development Topics
Artificial Intelligence: CNN, RNN, Tensorflow, Natural Language Processing, Iot Analytics
Machine Learning: Support Vector Machines, Image Classification, Deep Learning
Database Management: R: RSQLite, dplyr, csv, SAS
Python Libraries: Sci-kit Learn, numpy, NLTK
Geo-Spatial Analysis: ArcGIS Pro, Spatial Analyst tools, Survey123, Workforce, Collector
Graduate Academic Topics of Study
Current Professional / Graduate Development
Past Relevant Work Experience
Volunteer Opportunities (500+ hours)
Undergraduate Research Experience (REU)
Mark Siegel, Joseph Robertson (1994). “Molecular Evolutionary Investigation of the Early Gene Bicoid in Drosophila melanogaster and Drosophila virilis.” Department of Organismic and Evolutionary Biology, Harvard University.
Keith Weaver, David Tritle, Joseph Robertson (1993). “Genetic Analysis of Determinants Required for Stable Inheritance of Enterococcus Faecalis Plasmid pAD1.” Department of Biomedical Sciences, Sanford Medical School, University of South Dakota (published).
E. Howard Coker, Joseph Robertson (1992). “A Study in the Vibrational Stark Effect of Alkali Halide Crystals.” Department of Chemistry, University of South Dakota.
Inference for Data Science
GIS Data Creation / Integration
Predictive Analytics I & II
Regression I & II
Geospatial Analysis & Modeling
Statistical Inference I & II
Statistical Computing & Simulation
K12 Teaching Assignments
•Algebra I & II
Teaching Assistantship Assignments
•Remedial Mathematics / Pre-Algebra
•Survey of Calculus
Graduate Consulting Assignments by Department
•Survey Design & Analysis, College of Nursing, South Dakota State University
•Survey Design & Analysis, College of Dairy Science, South Dakota State University
•Generalized Linear Models, College of Engineering, South Dakota State University
•Generalized Linear Models, College of Agriculture Engineering, South Dakota State University
Graduate Teaching Assistantship Assignments
•Statistical Methods I & II
•Statistical Computing & Simulation
Specializing in American Indian and
Tribal Government Data Science Solutions
including Machine Learning and
Artificial Intelligence Research and Development
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