This summer I participated in the Secondary Student Training Program (SSTP) at the University of Iowa. As a student researcher in the program, I was given the opportunity to work with the Geo-Social Lab on their research exploring the spatiotemporal heterogeneity in the relationship between COVID-19 and human mobility. Reviewing the related literature on their paper and being a part of weekly lab meetings, I learned how professional research teams function to effectively transform a research question into a publishable short paper in addition to learning how to efficiently read and synthesize complex literature. Applying the lessons I learned working on this project, my partner Mark Rifkin and I created our own research project investigating suburbanization trends in relation to income in the Bay Area, using efficiency measures to generate time-series and chord diagram visualizations through Python. I’m really grateful for the network I’ve built working with the Geo-Social lab and to have had such a fruitful experience getting a taste of academia and research in geographical science.
Check Kaitlyn's poster: