Calling BS in the Age of Big Data
Our digital worlds are inundated with misinformation, data manipulations and outright lies. In this talk, we will look at common pitfalls specifically around information visualization. We will examine different ways that information can be misrepresented with figures and graphs. The discussion will build upon several lectures given in our Calling BS class at the University of Washington.
Presenter: Jevin West, Assistant Professor, Information School, University of Washington. He is one of the chief architects of the new Data Science curricula for undergraduate and graduate programs. Jevin co-founded and directs the DataLab with general themes in Data for Social Good, Data Curation, Computational Social Science, InfoVis and Science of Science. Together with Carl Bergstrom, he developed the industry-standard Eigenfactor metrics, used around the world to evaluate the quality of scholarly journals. He now develops computer vision techniques for mining scientific figures, recommendation algorithms for navigating the literature, and education data mining techniques for predicting student attrition. He asks questions about the origins of scientific disciplines, the biases within science that drive these disciplines, and the impact the current publication system has on the health of science. All his publications, invited talks, and courses can be found here: http://jevinwest.org
Aug 16, 2017
1:00PM - 2:00PM PT
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