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.
The workshop is designed for 75-minute class sessions, but can be compressed into 60-minute sessions.
Includes workshop guide, presentation slides, learning activities, and assessment instrument.

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.

The pre-class online course is titled: “FRED Interactive: Information Literacy” available through www.econlowdown.org. In the online course, students review a FRED graph made in the course; define the concepts nominal, real, and inflation; and discuss basic strategies for establishing the reliability of a data source.

The in-person class lesson is titled: ACRL Information Literacy Frames as FRED-Integrated Abilities: The frames Research as Inquiry, Information Creation as a Process, Scholarship as Conversation, and Authority Is Constructed and Contextual are highlighted. The instructor has two possible tasks for students;
-Option A, students work in FRED and use the formula real = (nominal/CPI)*100 to plot inflation-adjusted minimum wage rates for two states and compare the results.
-Option B, students work in FRED to plot and compare nominal and real earnings differentials for men and woman.

The lesson includes a variety of in-class and out-of-class assessment activities and links to resources and a glossary of terms provide additional learning opportunities.

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. One of the main goals in introducing the students to the life cycle of data (see attached) was to broaden their understanding of how to search for data. Students may encounter data via social media or in a magazine article. Often those formats are more accessible and present data in a way that is easier to understand. The exercise helps students to see how data can sometimes be manipulated in those formats, while also developing search techniques to track data to its source.