Utilizing Economic Activity and Data Science to Predict and Mediate Global Conflict

Kaylee-Anna Jayaweera, Caitlin Garcia, Quinn Vinlove, Jens Mache

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  • The year 2020 has left many individuals finding that their lives are continually being changed based on the state of global circumstances. Some believe that these changes have given many citizens the opportunity to understand the interconnected nature of global actions and domestic consequences. Our preliminary hypothesis and research centers around the belief that an informed global population produces a safer, and better prepared, global society. It is our understanding that when individuals are able to reasonably prepare or expect conflict, early mediation and resource management can not only save tremendous funds, but also save numerous lives. We believe that creating a source of accessible predictive models is not only possible, but can be done without tremendous resource demand by tracking key pointers within the global economy and historic conflict triggers.