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The DANTE Project: Promoting Reproducible, Distributable, and Replicable High Impact Research in Human Geography, Political Science, and Environmental Science

Authors: Joshua Brinks*, ISciences, LLC, Thomas M Parris, ISciences, LLC
Topics: Quantitative Methods, Migration, Geography Education
Keywords: migration, quantitative methods, agro-economic modeling, GIS, scientific replication
Session Type: Paper
Presentation File: No File Uploaded


The Data ANalytics and Tools for Ecosecurity (DANTE) Project is a cooperative partnership between the United States Army Corps of Engineers, CIESIN, ISciences, L.L.C., and CASE International that aims to develop a community platform with a suite of open-source tools and content that reduce common barriers to entry for interdisciplinary research in human geography, social and political science, and global environmental change. In addition to providing a curated catalogue of data sets and custom R programming tools tailored to interdisciplinary research, one of the primary goals of the DANTE Project is to demonstrate reproducible research through replication of recent high impact peer reviewed studies.

The ability to parse leading peer reviewed research, comprehend their underlying methodologies, and adapt them to personal needs is a major barrier to early-career scientists. This becomes more challenging due to publications with inadequate written methods plagued by poorly conveyed data processing procedures, and insufficient details regarding software and package use. These issues could be remedied if, for example, researchers provided their underlying code along with submissions. This approach would contribute to full transparency, and serve as a teaching mechanism for graduate students and early career scientists. In this presentation, we will demonstrate the use of custom R packages to promote reproducible and distributable research by presenting our efforts to replicate Missirian and Schenkler’s 2017 “Asylum applications respond to temperature fluctuations”; an investigation of agro-economic drivers of asylum applications to European Union member nations.

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