Joseph Navelski

Joseph Navelski is a Part-Time Lecturer at Washington State University's School of Economic Sciences within the Department of Economic Sciences. He has been actively teaching undergraduate economics courses while completing his Ph.D. in Economics, which was expected to be completed in 2023.

His educational background includes a Ph.D. in Economics (expected 2023), M.S. in Statistics (2022), and M.S. in Agriculture and Resource Economics (2018) from Washington State University and the University of Arizona, respectively. His research spans multiple interdisciplinary areas connecting economics with data science and network analysis.

Navelski's research interests focus on applying advanced statistical and machine learning techniques to economic problems, particularly in network formation, sentiment analysis, and corporate social responsibility modeling. His work bridges traditional economic theory with modern data science approaches, especially utilizing social media data for network analysis and opinion formation studies.

His publication record shows a strong emphasis on methodological innovation, particularly in network modeling and statistical reliability analysis, with applications ranging from media industry analysis to genome editing opinions on social media platforms.

• 2021 WSU SES Excellence in Teaching Award
• 2018 University of Arizona AREC Meritorious Graduate Teaching Assistant

Navelski has successfully taught multiple economics courses with consistently high student evaluations, demonstrating his effectiveness as an educator. He has also contributed to the academic community through presentations at the WSU Python Working Group on topics including A/B testing, API usage, and network analysis in Python.

His technical expertise spans multiple programming languages and statistical tools including R, Python, GitHub, STATA, SAS, RSTAN, LaTeX, and Tableau, making him well-equipped for both teaching and research in quantitative economics.