SDS Capstone Projects
The SDS capstone projects are completed by groups of master’s students from the School of Data Science at the University of Virginia that work collaboratively with the Collaboratory Replication Lab team to accomplish discrete goals at the intersection of data science and our replication work. Short descriptions of the projects are provided below.
Data Engineering
Led by Anandita Krishnamachari, Alexis Prijoles, & Brian Wright.
Software challenges arise because of the lack of cyber-infrastructure to support social and behavioral science research from end to end. The goal of this project is to address cyber-infrastructure concerns in Education Research by providing education researchers with tools and resources for developing, piloting, and testing data infrastructure systems to conduct high quality, systematic research in school settings.
Natural Language Processing
Led by Kylie L Anglin, Todd Hall, & Brian Wright.
To improve intervention implementation, researchers need some method of tracking fidelity in large-scale interventions, ideally in real-time, so that they can provide additional training to educators who are not implementing the intervention as designed. The goal of this project is to replicate, and extend or improve the document similarity measure as currently implemented in Anglin and Wong (2020) using NLP.
