Event Description
Science graphics are beholden to the same design principles as other types of graphics. But the information they hold is often the product of a process that a lot of people in your audience may not be familiar with. It’s important to honor the fact that the data you’re presenting is both the product of a rigorous study that builds upon past studies, and that interpretations may eventually shift a bit as future research sheds more light on the topic. This session provides you with some strategies for addressing those challenges. In particular, three overarching themes that are particularly pertinent to science graphics: honoring complexity, avoiding misinformation pitfalls, and visualizing uncertainty.
Event Speaker
Jen Christiansen, Senior Graphics Editor at Scientific American
Event Information
Free and open to the public; registration required. For more information, please visit the event webpage or contact [email protected]. All in-person attendees must follow Columbia's COVID-19 policies.
Hosted by the Brown Institute for Media Innovation at Columbia University.
