• Spring 2017 Semester
  • Category: Hass Arts
  • Units: 3-0-9
  • Meets Tuesday & Thursday from 2:30pm to 4pm in room 26-142
  • Undergrad (CMS.631) and Graduate (CMS.831)  meet together

We are swimming in data – “Big” and small, global and personal. And we are also facing complicated problems like Climate Change and inequality whose stories can only be told with data. The need for public understanding of data-driven issues is higher than ever before. But raw data doesn’t make a good story… and that’s where you come in.

This class is focused on how to tell stories with data to create social change. We will learn through case studies, examples and hands-on work with tools and technologies. We will introduce basic methods for research, cleaning and analyzing datasets, but the focus in on creative methods and media for data presentation and storytelling. We will consider the emotional, aesthetic and practical effects of different presentation methods as well as how to develop metrics for assessing impact. Over the course of the semester, students will work in small groups to create 5 sketches, each using a different technique for telling a data-driven story.  Think about a “sketch” as a half-realized project; where you have implemented just enough of the most important details of the idea in order for us to understand your vision.  A sketch is NOT a fully realized presentation of a data story. For the final project, students will have the chance to expand and expand on one of these sketches to create fully realized presentation of a data-driven story.

The course is open to all technical levels and backgrounds. We will prioritize students with a strong background in one or more of the following areas: journalism, software development, data analysis, documentary, visual and performing arts.

This semester the course will have a special focus on Climate Change data. Most examples will use data related to this topic, homeworks will be related to it, and sketches and final projects must be connected to it as well.  We will take a broad view of that topic, including everything from traditional datasets about the warming oceans, to data on migration caused by the effects of climate change.