dc.contributor.advisor	Affonso, Lancie
dc.contributor.author	Beckham, Courtney
dc.date.accessioned	2022-03-25T17:37:49Z
dc.date.available	2022-03-25T17:37:49Z
dc.date.created	2019-05
dc.date.submitted	May 2019
dc.description.abstract	This project explores the follow-up model of the Analyzing Complex Threats and Opera- tions Readiness (ACTOR) model employed by the United States government. The ACTOR model aggregates data on 12 factors from 159 countries over the period 1975-1999 to predict the level of instability a country will experience. The new modeling system is known as the Integrated Crisis Early Warning System (ICEWS) and incorporates the same background as the previous model, but with a few updates and a public database. This project used that database to explore the importance of data visualization in predictive modeling. Building o↵ of data from the ICEWS database, an interactive website was created to fill the gap between non-technical and technical people alike. By allowing the data visualizations to be customized, users are allowed to explore the data and build a report out of their findings.
dc.format.mimetype	application/pdf
dc.identifier.uri	https://repository.library.cofc.edu/handle/123456789/5248
dc.language.iso	en_US
dc.subject	website, predictive, data, science, development
dc.title	Data Science Predictive Application for Country Instability (DSAPCI)
dc.type.genre	thesis
dc.type.material	text
thesis.degree.department	Department of Mathematics
thesis.degree.discipline	Applied Mathematics
thesis.degree.grantor	College of Charleston
thesis.degree.name	Bachelor of Science

Data Science Predictive Application for Country Instability (DSAPCI)

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