- Characterizing the Relationships Between Classroom Demographics, Survey Responses & Grades Using R
- Modeling the evolution of alternative splicing rates
- Predicting the Evolution of PrEP Resistant HIV
- Quantifying relationship of google searches and STI rates
The program culminated in the students presenting their computational research projects in the poster session at the SFSU Summer Research Symposium.
The first 6 weeks, students focused on learning to program through free online courses, reading the scientific literature on their research topic, and practicing presenting to each other. Some teams also started to play with data or “mini projects” relevant to their ultimate research projects. The next 2 weeks, students delved into their research, be it simulations or data analysis. The last week, students created posters representing their research and practiced their presentations. At the end of each week students wrote brief reflections on their experience and evaluations of their progress and the program
We held a weekly all-staff meeting to troubleshoot, respond to weekly student evaluations, and coordinate the ongoing program and projects. To keep the program running smoothly, the mentors and faculty used a slack group for quick daily questions and ongoing updates. Individual mentors also communicated (via slack or email) frequently with their advising faculty to answer specific programming and research questions.
Each team of a mentor and students organically came up with their own communication structures as well. Groups chose text, slack, or email to stay in touch.
We are currently gathering data to understand how the program impacted students skills, motivation, and preparation for careers in science. Look for a full description soon!
Coordinating mentor: Kadie Williams
Near-peer mentors: Sita Chamdrasekaran, Dwayne Evans, Ryan Ferguson, Kimmie Tsui
Contributing faculty advisor: Sepideh Modrek