Amber McDonald, Richard S. Segall, Peng-Hung Tsai, Daniel Berleant

Proceedings of the 28th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2024, pp. 228-235 (2024); https://doi.org/10.54808/WMSCI2024.01.228

Amber McDonald
Department of Information Science, University of Arkansas at Little Rock, Little Rock, Arkansas, United States

Richard S. Segall
Department of Information Systems & Business Analytics, Arkansas State University, State University, Arkansas, United States

Peng-Hung Tsai
Department of Information Science, University of Arkansas at Little Rock, Little Rock, Arkansas, United States

Daniel Berleant
Department of Information Science, University of Arkansas at Little Rock, Little Rock, Arkansas, United States

Cite this paper as:
McDonald, A., Segall, R. S., Tsai, P., Berleant, D. (2024). Predicting Future Participation of Women in Space by Analyzing Past Trends. In N. Callaos, E. Gaile-Sarkane, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 28th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2024, pp. 228-235. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2024.01.228

This study uses historical data about space missions to support modeling and analysis of the international participation of women as astronauts. Curve fitting is used to model historical data and extrapolate to make predictions about the rate of future participation as astronauts. Experimental results and related works are discussed.