Summer 2021 Computer Vision / Image Analysis Research Assistant with Anjali Adukia

This internship is part of the University’s Jeff Metcalf Internship Program. Please review the Metcalf Interns’ Responsibility Notice to learn more about program requirements for Metcalf interns.

Please make sure that if selected for an interview, you communicate to your prospective host organization/employer where you will be physically located during the internship as your location may affect your (or your host organization/employer’s) ability to pursue this opportunity. 

If you are an international student, please make sure to visit the OIA website to familiarize yourself with your work authorization eligibility and requirements as soon as possible. If you’d like to make an appointment with your international adviser, please visit this page.

Anjali Adukia, Harris School of Public Policy

This project explores how representation and messages about gender and race in children's books may influence student’s education outcomes over time. Professor Adukia is seeking a research assistant to help apply computer vision / image analysis tools to identify image-based gender- and race-based messages in children's content. In a separate project, researchers will use these image analysis tools to extract information from Twitter data in order to analyze differential parent and educator perceptions and responses to issues such as changes in remote and in-person schooling during the pandemic. Depending on interest and skillset, the RA(s) would help with feature classification (e.g. gender, race), character detection, or label extraction.