The objective of this focus area is to develop recommendations and best practices for Responsible Data Science (RDS) by design, with security, privacy and ethical use of data and data science methods. This includes:
1. Enabling the development and dissemination of responsible data science best practices, such as building and deploying of integrative data equity systems, incorporating ethical and legal norms in all stages of the data science life cycle, with security, privacy and ethics
2. Engaging IEEE standards development activities for the TIPPSS framework – Trust, Identity, Privacy, Protection, Safety and Security – and its use in clinical Internet of Things, connected healthcare, and smart and connected communities
3. Collaborating with cybersecurity researchers and domain scientists to determine their needs and challenges regarding trustworthy data, and data driven cybersecurity, privacy, and ethics
Current Projects on Responsible Data Science
Upcoming Responsible Data Science Events
Responsible Data Science Professional Opportunities
Applications due March 6th.
Team submissions due May 23rd
Applications accepted on a rolling basis.
Applications due March 26th
Responsible Data Science Career Opportunities
Posts not found
Responsible Data Science Resources
The Business Case for Security, Cybersecurity & Infrastructure Security Agency
State of Open Data 2021, Springer Nature