# Monthly Archives: February 2023

## Zeros of Random Polynomials and Their Higher Derivatives

Complex polynomials are one of the oldest and most fundamental objects of study in mathematics, and are ubiquitous in applications.

## How Adopting Reproducible Practices Can Benefit Data Science Education

As the fields of statistics and data science have grown, the importance of reproducibility in research and easing the “replication crisis” has become increasingly apparent. The inability to reproduce scientific results when using the same data and code may lead to a lack of confidence in the validity of research and can make it difficult to build on and advance scientific knowledge.

## Pinpointing Causality across Time and Geography: Uncovering the Relationship between Airstrikes and Insurgent Violence in Iraq

“Correlation is not causation”, as the saying goes, yet sometimes it can be, if certain assumptions are met. Describing those assumptions and developing methods to estimate causal effects, not just correlations, is the central concern of the causal inference field. Broadly speaking, causal inference seeks to measure the effect of a treatment on an outcome. This treatment can be an actual medicine or something more abstract like a policy. Much of the literature in this space focuses on relatively simple treatments/outcomes and uses data which doesn’t exhibit much dependency. As an example, clinicians often want to measure the effect of a binary treatment (received the drug or not) on a binary outcome (developed the disease or not). The data used to answer such questions is typically patient-level data where the patients are assumed to be independent from each other. To be clear, these simple setups are enormously useful and describe commonplace causal questions.

## MathStatBites in the Classroom

This MathStatBites post is a bit meta; this time around we are considering how you might use posts on this site in your teaching. MathStatBites posts are great for those who want to get a sense of what is happening in the latest mathematics and statistics research but who may not have a detailed background on the particular topic at hand. Beyond reading for fun or self study, they can also be a great resource for teachers looking to introduce their students to research and communication strategies for reaching broader audiences.

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