VIRTUAL Prague Research & Teaching Conference
Abstract
This course introduces undergraduate students to foundational concepts in the philosophy of information theory, drawing from influential thinkers such as Shannon, Weaver, and Simondon. It explores the utilization of data collected from the Internet of Everything (IoE) to analyze and influence individual and consumer behaviors. A critical examination is conducted on the differences between structured and unstructured data, highlighting the challenges posed by the rapid growth of unstructured data on Big Data storage and analysis. The course also addresses the complexities introduced by technologies such as Machine Learning, Artificial Intelligence (AI), and algorithms, which are increasingly used to organize and analyze data. Through the study of visual examples—including data storytelling, open-source datasets, and data mapping—students are encouraged to move beyond traditional dashboards and tables. Targeted audiences are prompted to consider innovative methods to engage and persuade users, such as creating games, quizzes, infographics, and zines that effectively communicate data on social justice issues. By developing projects and receiving peer feedback, students learn to leverage design and data to communicate persuasively, thereby supporting social change. The presentation will include student projects, insights with comments about their reactions to the projects and data.
Peggy Bloomer is an Assistant Professor in Graphics/Information Design in the Art Department at Central Connecticut State University. She earned a Ph.D. in Media and Communications from the European Graduate School. Her research interests are typography, with a special interest in screen fonts and technology. She is also interested in data visualization and how data can reveal human stories visually. The topic of this proposal reflects her interest in the relationship of humans to technology and machines.