A Game of Simulation: Modeling and Analyzing the Dragons of Game of Thrones

This paper outlines two approaches for mathematical, simulation, modeling, and analysis of hypothetical creatures, in particular, the dragons of HBO's television series Game of Thrones (GOT). Our first approach, the forward model, utilizes quasi-empirical observations of various features of GOT dragons. We then mathematically derive the growth rate, other dimensions, energy consumption, etc. In the backward model, we use projected energy consumption by given ecological impact to model an expected dragon in terms of physical features. We compare and contrast both models to examine the plausibility of a real-world existence for our titular dragons and provide brief analyses of potential impacts on ecology.Comment: 16 page

Room 2: Institution-Level OER Program Management

Birds of a Feather Session 1: May 14, 11-12 Room 2: Institution-Level OER Program Management Zoom Link: https://lanecc.zoom.us/j/92705512361 Related Content and Session Coordinators: Stefanie Buck and Mark Lane, Oregon State University Robbie Pock, Meagan Button, Michelle Lenox, and Jerica Tullo, Pacific University Facilitator: Heather White, Mt. Hood Community College Birds of a Feather Session Overview: A space for collegial interaction and discussion with a thematic focus Opportunity for Q & A with presenters Opportunity for small group conversations in breakout rooms to discuss takeaways and share ideas (depending on number of participants) Session Reminders: This session is not being recorded. Remember to mute your microphone when not speaking. If you want to ask a question or add a comment, use the “raise hand” feature or type your comments in chat. Remember to follow the Open Oregon Community Guidelines when participating - https://tinyurl.com/OpenOregonCommunit

The systemic, long-run relation among gasoline demand, gasoline price, income, and vehicle ownership in OECD countries: evidence from panel cointegration and causality modeling

This paper analyzes gasoline consumption per capita, income (GDP per capita), gasoline price, and car ownership per capita for a panel of OECD countries by employing panel unit root and cointegration testing, panel Dynamic and Fully Modified OLS estimations, and panel Granger-causality tests. The four variables are determined to be panel I(1) and cointegrated. Estimated long-run and short-run income elasticities are smaller than what typically had been found previously. Lastly, gasoline consumption is Granger-caused by gasoline price, but not by car ownership or income; whereas, car ownership is Granger-caused by income and at the margin by gasoline consumption, but not by gasoline price