data ethics course update

This week in the lab’s data ethics course, Kobbi Nissim, Professor of Computer Science at Georgetown, joined students for a guest lecture on big data.

Nissim spoke about the importance of establishing rigorous practices for privacy in computation: identifying problems that result from the collection, sharing, and processing of information, formalizing these problems and studying them with the goal of creating solid practices and technological solutions. These ideas were then applied to health research and the implications privacy and consent have specific to health. Discussions centered on how guidance boards could mitigate present risks or better respond to crises spread across a wide network.

Toward the end, class got meta–the semester’s course work was split into five categories: writing assignments, design assignments, speakers, readings, and lectures. The students spent time dividing their class experiences into these categories, tagging particularly enjoyable or useful moments to generate data influential for designing future iterations of the course. Last, students broke to consult the final project rubric and guidelines for final crits of projects next week!


readings on big data + health