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||Data Analysis to Improve Diversity and Equity in Graduate-Level Education
||May 8 2019
||This project grew from the need to determine what students of diverse backgrounds need to feel welcomed and represented in their graduate department at the University of Oregon. Two women of color took the initiative to conduct qualitative and quantitative research on how equity and diversity are represented in curriculum, services, and departmental resources. Based on our findings we researched resources on campus that address the problems identified in our data and best practices for graduate education implemented by similar graduate-level programs in Oregon. This talk illustrates how research methods can be used to inform institutional policies and practices to improve diversity and equity.
||Crafting Data-Driven Stories for the Everyday Reader
||May 9 2019
||Journalists don’t write for other journalists—they write for the curious and community-minded public. In the same way, statistical journalism should not be a black box of visualizations and narrative meant only for data makers like us. Crafting data-driven stories for a general audience means giving readers an opportunity to interact with a fun and practical use case while explaining the interpretative thinking that lies under the hood of statistical methods. I am an undergraduate at Cal Poly that writes and builds interactive, data-driven publishings with a team of students. I'll walk you through how we ideate fascinating questions, make methods explainable, and use Jupyter Notebooks to share reproducible code.