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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
Responsible Data Science Projects and NEBDHub Collaborations
Upcoming Responsible Data Science Events
Responsible Data Science Professional Opportunities
Apply to run a session at Festival de Datos
Apply by April 23rd
Notice of Special Interest (NOSI): Optimization of Data Storage and Utilization for the Sequence Read Archive (SRA)
Applications accepted through December 2025
Responsible Data Science Career Opportunities
Postgraduate Associate positions in the Digital Ethics Center (DEC), Yale University
The Center for Digital Ethics (DEC) at Yale University, directed by Prof. Luciano Floridi, seeks to appoint full-time, Postgraduate Associates to join this multidisciplinary center newly established at Yale. We are eager to recruit and welcome candidates who add to the diversity of the Center. Postgraduate Associate positions are intended for recent university/college graduates seeking […]
Responsible Data Science Resources
The Business Case for Security, Cybersecurity & Infrastructure Security Agency
IEEE DataPort Open-Source Datasets – Security, IEEE
State of Open Data 2021, Springer Nature