Data Science Ethics

This course provides a framework to analyze ethics concerns related data science. Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making. The topics covered are: 1) Who owns data; 2) How we value different aspects of privacy; 4) How we get informed consent; 5) What it means to be fair

Tags
Data and Resources
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Classification Information

Description: Classification Information

Field Value
Domain Generic
Availability Information

Description: Availability Information

Field Value
Country United States of America (the) - USA
Language eng, English
Learning Information

Description: Attributes characterising the Learning resource.

Field Value
Competence Not Available
Duration 4 weeks, 3-4 hours per week
Learning Outcome(s) Who owns data. How we value different aspects of privacy. How we get informed consent. What it means to be fair
Level Basic
Qualification Certification upon completion with paid version
Skill Plan and design
Skill Govern and assess
Target Researcher
Target Data steward
Target Ethics and data protection advisor
Target Data librarian or institutional level data steward
Additional Info
Field Value
Access Rights open
Creator Jagadish, H. V., orcid.org/0000-0003-0724-5214
Creator edX
Version Date(s) 2022-07-13
system:type Course
Management Info
Field Value
Author Candela Leonardo
Maintainer Oset Paula
Version 1
Last Updated 13 September 2022, 16:54 (CEST)
Created 8 June 2021, 13:55 (CEST)