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Esther Denecke

Computation & Reproducibility
Previous Editor
Contributor

PhD Student, Digital and Computational Demography, Max Planck Institute for Demographic Research

PhD Student, University of Rostock

Areas of Interest

Health & Mortality, Demographic Methods, Other

The Download

Increasing the Lifespan of Software for Demographic Analysis
4 min
Many researchers face challenges with computational reproducibility. For instance, running analysis code written just a year earlier can be problematic. Even if it worked flawlessly and gave the expected results earlier, it might fail due to errors now (see Figure 1). These issues are typically…
Egor Kotov, Esther Denecke
Apr 17, 2024
No matching items

The Denominator

Expanding the Lifespan of Software for Demographic Analysis with Containers: An Application of Spatial Sampling
11 min
Software, such as specific R packages, evolve over time, which may prevent older analysis code from working as expected. For example, default values for arguments in a function can change. Therefore, for computational reproducibility, knowing which specific R and package versions were used to run…
Egor Kotov, Esther Denecke
Apr 17, 2024
No matching items

denecke@demogr.mpg.de

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