Editing Human Data Interaction (section)

== Proposed learning objectives ==
By the end of the course, students will be able to…

* Understand human centered design principles and the role of qualitative, quantitative, and design research methods across data-intensive research domains.
* Identify the ethical implications of data-driven technologies and deploy strategies for anticipating and addressing harmful consequences.
* Frame data-intensive research as a design activity, understand and demonstrate the importance of rationale, reflection, empathy, accountability, and effective communication in data science.
* Design data-driven technologies using a human-centered approach: articulate the assumptions and values embedded in their design choices, their advantages and limitations, tradeoffs involved in their development, and their implications for individuals and society. 
* Critically “read” data-driven technologies and data-intensive research activities across a wide range of real-world applications and articulate how data, software and technological processes shape, and are shaped by, individual decisions and social structures.