Exploration of ethical implications specific to
data collection, study design, data analysis, and
the dissemination and application of data.
Practical guidance about how to uncover ethical
weaknesses in existing protocols and how to
undertake constructive, effective, fair data
scientific research and application of automated
processes. Survey of technological advances in
strategies for collecting data, implementing
studies, analyzing data, and disseminating
findings both to broad public audiences and to
narrow groups who are disproportionately impacted.
Explores research on the consequences of choices
made by human and machine actors and assemblages
of human-in-the-loop sociotechnical systems.
Focuses on both legal and ethical frameworks.