Data is at the heart of the increasing role technology has in our lives. Data collection and algorithmic processing are not only central to recent technical breakthroughs such as in AI and automation but have created new economic paradigms where data equals value and shape political approaches to power and control. Decisions based on algorithms affect society at large whether it’s changing the way we transport and distribute goods, or influencing the things we buy, the news we read or even the people we date. The *world* that algorithms *see* is data. For the average person, however, data is seldom more than an abstract idea. So what exactly is data? How is value extracted from it? And why should we care? How can we ethically balance the positive uses of data-driven systems with the threats they pose to discriminate and infringe basic human rights? This class seeks to untangle some of these issues practically and theoretically. Each week will include a lecture introducing contemporary theorists, artists, groups, and in-class discussions or exercises. Potentially there will be a guest speaker, too. Topic sections may include surveillance and privacy, data journalism and activism or automation and machine bias. What we cover will be complemented by reading and research assignments. The other half of the week is a programming lab in which you will learn the fundamentals of web-based data visualization using JavaScript. Programming assignments will allow you to further practice what we learn. Throughout the semester, you will work on three main visualization projects that are inspired by the theoretical subjects that we cover. The form of these projects will usually be a website. Successful projects feature data visualizations that are both playful as well as effective in conveying information and a reflection that links the practical work to the theoretical learnings. Prerequisite: Interaction Lab, Communications Lab or Application Lab

Interactive Media Arts (Undergraduate)
4 credits – 15 Weeks

Sections (Fall 2019)

INTM-SHU 232-000 (21436)09/02/2019 – 12/13/2019 Mon,Wed1:00 PM – 2:00 PM (Early afternoon)at ShanghaiInstructed by