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Description
The data people generate by interacting with digital systems, such as smart devices, phones, and online platforms, have become a gold mine for research. Researchers can use digital data to understand people and train systems to make predictions or decisions for and about people. But new data collection methods have also raised questions about ethics and participation in research.
This course covers the unique issues associated with big data and data science research ethics. It starts with an introduction to big data, data science, and research ethics. Learners will then explore privacy and data protection in data science, increasing the awareness of data subjects, and data science and power.
Audience
Clinical Research Coordinators, IRB Administrators, IRB Members, Postdocs, Research Administrators, Researchers, Students
Meet the Authors
Katie Shilton, PhD – University of Maryland
Katie Shilton is an associate professor in the College of Information Studies at the University of Maryland, College Park. Her research focuses on technology and data ethics.
Emily Dacquisto, MSW – University of Maryland
Emily Dacquisto is a Faculty Assistant and Program Manager in the University of Maryland’s College of Information Studies. Her current research projects include big data and data ethics, privacy policy, content moderation, and values-centered AI. She holds an MSW from the University of Minnesota and a BA from the University of Iowa.
