Project Lead: Althea Marks, UW Seafood Globalization Lab

Data Scientists: Jose Cols and Valentina Staneva

Food systems have become increasingly globalized, with over a quarter of all food now traded internationally. Seafood is among the most highly traded foods, and it is widely recognized as a critical source of nutrition. Understanding the environmental and human outcomes of this globalization has been limited by a fundamental gap between production and trade data. The Aquatic Resource Trade in Species (ARTIS) dataset bridges this gap by providing the first global estimates of seafood species and trade flows. It is publicly available and its users span from undergraduates and academic researchers to NGOs and industry professionals.

Our goal is to build an efficient, transparent, reproducible, and portable ARTIS model that can sustainably keep pace with ongoing yearly data releases, so that end users have access to timely data for their analyses. Today, deploying and running the model on cloud computing infrastructure is the bottle-neck and most fragile step in our data pipeline. With the UW eScience Accelerator program, we will redesign this pipeline to be more reusable, economical, and sustainable to benefit our end users. The refactored open-source software will align with our open-science practices and can serve as an example of how research code can mature into production grade research software.