From Numbers to Representation: Treating Data as PeopleKeith Cooper, Hannah Peterson, Jacqueline GardnerBackground: How we analyze and visualize data can have a lasting impact. The standard methods of data analysis and visualization often collapse minority identities, masking disparities and individual experiences. Data are used to make decisions and help determine the creation of new policies and distribution of public funds. Lack of representation across all communities, particularly for those who have been historically marginalized, perpetuates systemic and social inequities. Our purpose is to advance equity and representation across communities by innovating the use of public health quantitative data and integrating individual stories into analysis and visualizations.
Conducting Mixed-Mode Survey Research In the Midst of a Pandemic: Successes and Lessons LearnedSarah Leslie, Arnold Levinson, Sara Cooper, Abigail Harris, Ariana TalaieSince 2012 the Colorado Epidemiology & Program Evaluation Group at CU Anschutz has operated a mixed-mode survey research unit. In February 2020, the SRU launched a survey as part of a longitudinal study of smoking and smoke exposure among Coloradans. A month later, the campus shut down in response to the COVID-19 pandemic. This presentation will describe challenges, successes, and lessons learned while conducting mixed-methods survey research during a global pandemic.
