Working with Foundational Open Source Science Skills (FOSS) for Dissertation Data and Reproducibility | Colloquium by Laura W. Dozal

iSchool Colloquium with Laura W. Dozal


1 to 2 p.m., Nov. 30, 2023

Join us in person or online for the next iSchool colloquium, featuring Laura W. Dozal, a student in the iSchool's PhD in Information.

Attend in person (Harvill 460) or via Zoom (registration required).

This presentation will cover open science pillars and open science ethical data principles discussed in the Roots for Resilience Fellowship. It will then describe how a dissertation data management plan was organized to house the information, resources and analyses, as well as provide privacy. The hope is to guide interested researchers through examples on how to apply open science to their own long-term projects.

About Laura W. Dozal

Laura W. Dozal is a PhD student in the University of Arizona School of Information. Her recent work has focused on analyzing and visualizing network clusters to understand social behavior. Her methods in the past have been deep learning for natural language processing applications of online crime and disinformation, as well as quantitative network analysis to identify community spaces. Her research specifically covers topics of gender equality movements in Latin America, community perception and, more recently, criminal organizations.


Berlin Loa