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Data visualization is an important communication medium in personal and public conversation spheres. Its wide use in entertainment and business settings alike has encouraged the creation of tools and frameworks that allow anyone to create visualizations and share them with their audience. While these tools offer tried and true visualization metaphors they also pose risks such as missing important data points or creating meaningless visuals.
This talk will introduce the concept of “responsible data visualization” in the context of two distinct uses: exploration and narrative. Using personal and industry examples to show best and worst practices in each approach, this talk will offer practical suggestions to bringing data visualization into one’s data workflow.
Irene Ros is an engineer and artist from Cambridge, MA. Her work focuses on designing and building engaging visualizations and user interfaces using web technologies. Her artwork focuses on the intersection of humanity and technology. Recently her work has been written about in the New York Times and the New York Times Open Blog, as well as Fast Company.
Irene is the creator of NYTWrites, a visualization tool that explores The New York Times authorship. She is also the co-creators of Many Bills, a visualization of congressional legislation aimed at lowering the barrier between the U.S legislative process and citizens. Many Bills combines Visualization techniques with Natural Language Processing and Information Retrieval to offer varying amounts of detail to users. Irene is also one of the developers on the Many Eyes project, a collaborative visualization tool that allows users to gather data, visualize it and discuss their visualizations on and off the site. She was also a part of the effort to launch The New York Times Visualization Lab, a derivative of Many Eyes. Irene also explored MBTA usage patterns in her visualization of A Day of MBTA.
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