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Critical Approach to Data Visualization
February 12 @ 1:00 pm - 3:00 pm
Registration is required. You will receive a confirmation once you are accepted into the workshop and a communication with the workshop materials and Zoom links.
This workshop is open to all members of the UC Davis community. DataLab Affiliates receive priority registration.
This workshop will unpack the subjective process of data visualization and its relationship to concepts of diversity, equity and inclusion. We’ll critically explore how data can be used to uphold and perpetuate, or quantify and demonstrate structural oppression. Through this workshop learners will practice the technique of “data visceralization,” the process of experiencing differences in data and understanding them viscerally.
This workshop is led by DataLab’s Data Feminism research and learning cluster, which focuses on thinking about data science and data ethics as informed by the ideas of intersectional feminism. Explore our Data Feminism reading list and activities, here.
This workshop is aimed for researchers with prior experience collecting and working with data who are ready and willing to engage in understanding how data can how they can diverse, equitable and inclusive.
Professor Emily Merchant is a historian of science and technology in the twentieth and twenty-first centuries, focusing on the quantitative human sciences and technologies of human measurement. Professor Merchant’s current book project, Building the Population Bomb (publication expected 2021), examines how human population became a subject of scientific expertise and how demography shaped population dynamics during a period of unprecedented growth. Read more about Professor Merchant, here.
Professor Lindsay Poirier is a cultural anthropologist of data cultures, expertise, and infrastructure. Her work is informed by the history of computing and of technology, critical data studies, the digital humanities, Science and Technology Studies, and the technical field of information technology and web science. Interlacing training in both ethnography and computer science, Poirier critically examines datasets and data infrastructures as ethnographic artifacts, while she also theorizes and implements alternative data models and platforms. Read more about Professor Poirier, here.
Dr. Pamela Reynolds is DataLab’s Associate Director.