Shelby M Scott

Shelby M Scott

Health Data Scientist and Senior Consultant using Mathematical and Statistical models to answer client questions at the interface of policy and healthcare.

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SMB2022

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Contact Information

I am always open to talking with anyone who has an interest in my work, graduate school, or anything else to which I could provide guidance or insight. If there is a delay in my response, feel free to send a follow-up!

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extracurriculars

Extracurriculars

It turns out that graduate students are not always confined to their offices, writing late into the night until carpal tunnel forces them to eat a meal and sleep for a few hours. Work-life balance is something that all academics tend to struggle with, but is incredibly important for productivity (and overall quality of life). I have a working theory that academics tend to choose hobbies that are long-term. As a subpopulation that is comfortable spending 4-7+ years on one degree, we are also comfortable spending five months working on one knitting pattern or committing to a long form board game. The long term hobby I chose to pursue is long distance running, because running 30+ miles takes less time than debugging code. On top of this, I also rock climb, cook, and love to travel.

publications

An Agent-Based Model of Santa Cruz Island Foxes (Urocyon littoralis santacruzae) which Exhibits and Allee Effect

Published in Letters in Biomathematics, 2015

This project uses agent-based modeling to observe the existence of an Allee Effect in the Santa Cruz Island fox, and evaluates how this could have contributed to population decline in the early 1990s.

Recommended citation: Shelby M. Scott, Erin N. Bodine, and Anne Yust (2014) An Agent-Based Model of Santa Cruz Island Foxes (Urocyon littoralis santacruzae) which Exhibits and Allee Effect, Letters in Biomathematics, 1:1, 97 109, DOI: 10.1080/23737867.2014.11414473 http://shelbymscott.github.io/files/Scott_2014.pdf

Technology as a Tool in Teaching Quantitative Biology at the Secondary and Undergraduate Levels: A Review

Published in Letters in Biomathematics, 2017

We summarize and review the available technological tools for teaching quantitative biology at the secondary and undergraduate levels, including some evaluations of these tools

Recommended citation: Chen, Miranda M., Scott, S.M., and Stevens, Jessica D. Technology as a tool in teaching quantitative biology at the secondary and undergraduate levels: a review. Letters in Biomathematics, 5(1): 30 - 48, 2017. http://shelbymscott.github.io/files/Chen_2017.pdf

An Agent-Based Model of the Spatial Distribution and Density of the Santa Cruz Island Fox:The Effects of Golden Eagle Predation and Island Fox Recovery

Published in Integrative Population Biology and Modeling, 2019

This paper incorporates GIS data into an agent-based model to observe the impacts of golden eagle predation on the Santa Cruz Island fox.

Recommended citation: Scott, Shelby M., Middleton, Casey E., and Bodine, Erin N. An Agent-Based Model of the Spatial Distribution and Density of the Santa Cruz Island Fox: The Effects of Golden Eagle Predation and Island Fox Recovery. In Integrative Population Biology and Modeling, Handbook of Statistics. Elsevier, 2019. http://shelbymscott.github.io/files/Scott_2019.pdf

A Report from the NIMBioS/DySoC Investigative Workshop on the Mathematics of Gun Violence

Published in NIMBioS Website, 2020

We review the relevant background information for each of the breakout topics discussed in the workshop, present some of the major perspectives discussed, and list the future directions within that topic to provide a starting point for future research projects.

Recommended citation: Scott S. (2020). A Report from the NIMBioS/DySoC Investigative Workshop on the Mathematics of Gun Violence. May 2019. National Institute for Mathematical and Biological Synthesis, Knoxville, TN. http://shelbymscott.github.io/files/MathematicsofGunViolence_WSReport.pdf

COVID-19 and Crime: Analysis of Crime Amidst Social Distancing Protocols

Published in PLoS One, 2021

We analyze shifts in crime types by comparing crimes before the implementation of stay at home orders and the time period shortly after these orders were put in place across three cities.

Recommended citation: Scott SM, Gross LJ (2021) COVID-19 and crime: Analysis of crime dynamics amidst social distancing protocols. PLoS ONE 16(4): e0249414. https://doi.org/10.1371/journal.pone.0249414 http://shelbymscott.github.io/files/Scott_2021.pdf

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