DataFeminism Bookclub: Modeler's Manifestos

Description

This interactive, dialogue-driven meetup will unpack how we develop models and algorithms, and how data scientists can directly engage with justice and ethics by addressing the structural inequalities in their work. Come prepared to discuss takeaways from this session's readings and examples from your own research processes. What concepts from the readings and other frameworks have you used, and where should we go from here? Researchers from all domains are welcome to participate. Together we’ll brainstorm how as individuals and a community we can contribute to more equitable data-driven research.

Prerequisites

In advance of this meetup, please read "A modeler's manifesto: synthesizing modeling best practices with social science frameworks to support critical approaches to data science" (https://riojournal.com/article/71553/) and the Feminist Data Manifest-No (https://www.manifestno.com/.) Please also bring to the discussion one additional framework or resource you find compelling for guiding - or critiquing - algorithm/model development and application. Examples of application to your own work are encouraged.

Software: None

Instructors: Pamela Reynolds, M.V. Eitzel

Pamela Reynolds is the Associate Director of DataLab and an experimental ecologist with a background in project management and team science. Reynolds received her PhD in Biology from the University of North Carolina at Chapel Hill where she studied the biodiversity of the world’s oceans. Her research interests include applications of data science to promote interdisciplinary research, and developing pedagogy for technical skills and computational thinking. Reynolds is also co-lead of the Data Feminism Research and Learning Cluster at the UC Davis DataLab.

M.V. Eitzel is a researcher at the University of California, Davis at the Center for Community and Citizen Science.