This workshop engages participants in exploring corporate data collection, personal profiling, deceptive design, and data brokerage practices. Workshop content is contextualized with the theoretical frameworks of panoptic sort (Gandy), surveillance capitalism (Zuboff), and the four regulators (Lessig) and presented through a privacy and business ethics lens. Participants will learn how companies make money from data collection practices; explore how interface design can influence our choices and behaviors; and discuss business ethics regarding privacy and big data.

Reading charts and infographics is part of everyday life, yet telling a story with data can be tricky. Luckily, data visualization is a skill that everyone can learn! Data visualization is the practice of translating information into a visual context, helping humans understand complex concepts and making it easier to identify patterns and uncover insights. In this workshop, learn the basics of designing data visualizations, selecting appropriate graph styles, and how to identify misleading data visuals.

Students learn about innovation, the distribution of innovation across the country, and what can be patented. Working in groups, they examine patents and consider the changes the patents brought. They then use a mapping program and interpret data from that map to consider how local resources promote innovation.

A hybrid teaching module with two elements: an interactive online module for students to complete ahead of class and a face-to-face lesson plan that builds on the skills learned in the online lesson. The in-class session provides students with a critical exploration of the purchasing power of minimum wages across states and/or the earnings gap between men and women employed full time.

This session was part of an undergraduate, critical thinking and global perspectives course. The course is offered by various disciplines on campus. This instance focused on global challenges (The Seven Revolutions developed by csis.org). For the session the students applied two frameworks to data: authority is constructed and contextual and scholarship as conversation. Students learned about a data life cycle concept with emphasis on evaluation.