Towards reproducible data science for community and policy research - An experiential roadmap

Description

Drawing from my work at the Charlotte Urban Institute, this talk outlines the vision and experience of developing and practicing reproducible research analytical frameworks and their broad implications to social and scientific impact. As data science takes a central role in how knowledge is produced and disseminated to shape policies and public action, developing and maintaining analytical processes that enable verifiability and reproducibility underpin trust and impact in the community. This talk will take you through our team’s journey so far in building a reproducible data science ecosystem, offering insights and learnings on the patchwork of concepts, tools and technologies we leverage to solve this problem.

Slides