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Region 5 Blog September 28th, 2022
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“Calling BS in the Age of Big Data”, next PNR Rendezvous

Posted by on August 9th, 2017 Posted in: Data Science, Health Literacy, Training & Education

Our digital worlds are inundated with misinformation, data manipulations and outright lies. In this webinar session, we will look at common pitfalls specifically around information visualization. Our presenter, Jevin West, will have us examine different ways that information can be misrepresented with figures and graphs. “Calling BS in the Age of Big Data” will build upon several lectures given in the 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.

When: Wednesday, August 16, 1:00pm PT, Noon Alaska, 2:00pm MT

How to Connect: 

Image of the author ABOUT Carolyn Martin
Carolyn Martin is the Outreach and Education Coordinator for the NNLM Region 5. She works with various libraries and community organizations to increase health literacy in their communities.

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Developed resources reported in this program are supported by the National Library of Medicine (NLM), National Institutes of Health (NIH) under cooperative agreement number UG4LM012343 with the University of Washington.

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