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.

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.

This instructional session coincided with a project comparing data from two cities for an Urban Studies 1000 level (Freshmen) course. The session provided a basic overview of Simply Map as a web-based application, described the data available within and its origins (Census, American Community Survey, etc.), two activities for creating and visualizing the data, and supporting materials for understanding the data including a libguide and deliverable handout.

This lesson introduces undergraduates to personal digital archiving (PDA) as an instructional bridge to research data management. PDA is the study of how people organize, maintain, use and share personal digital information in their daily lives. PDA skills closely parallel research data management skills, with the added benefit of being directly relevant to undergraduate students, most of whom manage complex personal digital content on a daily basis. By teaching PDA, librarians encourage authentic learning experiences that immediately resonate with students' day-to-day activities.

Students will learn to identify where they might find school and community data; practice accessing this data; and create a school community data profile. Students will also be introduced to some of the problems of bias when looking at school and community data. For part one, student will find data for the high school they attended and the community they grew up in. In part two, students will collect the same data for a school in the community they will be working in over the course of the quarter.

This workshop provides an introduction to creating infographics using Piktochart and includes advice on selecting a design, incorporating data, and structuring a story.