Focus on Responsible Data Science: Security + Privacy + Ethics


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

Trustworthy Data Working Group

Cybersecurity as Big Data Science Interactive Workshop

Cybersecurity Risk Initiative (2019)

Framework for Integrative Data Equity Systems

Data Sharing and Cyberinfrastructure Working Group

Global Connected Healthcare Cybersecurity Workshop Series (IEEE)

Submit your project here

Upcoming Responsible Data Science Events

Responsible Data Science Professional Opportunities

2022 NSF Summit Student Application

Applications due August 1st.


Papers due July 1st

Community Development and Engagement Program

Now accepting applications

Data and Technology Advancement (DATA) National Service Scholar Program: Data Scientists Advancing Biomedical Research

Applications accepted on a rolling basis until May 27th.

IEEE CloudNet 2022

Abstracts due June 13th

Microsoft Research PhD Fellowship

Call for nominations closes June 7th

SEEDS Grant Program, South Big Data Innovation Hub

Applications accepted through June 3rd

The S.E.E.D.S Grant Program: Southern Engagement and Enrichment in Data Science

Applications accepted through June 3rd.

Responsible Data Science Career Opportunities

Responsible Data Science Resources

EE DataPort Open-Source Datasets – Security

The Business Case for Security, Cybersecurity & Infrastructure Security Agency

Trusted CI Guide to Securing Scientific Software

Responsible Data Science Success Stories

Mona Sloane

How to Innovate AI Procurement?

Guest post by Mona Sloane, Ph.D., New York University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. Artificial intelligence (AI) systems are increasingly deployed in the public sector. As these technologies can harm citizens and pose risk to society, existing public procurement processes […]

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Researchers from NYU Tandon release 3-D data tracking human interactions outside of coronavirus hotspots

Study to set groundwork to build machine learning models that rapidly analyze how a virus spreads In April when New York City was under a strict lockdown, a team of 16 student researchers from New York University’s Tandon School of Engineering commenced a National Science Foundation Rapid Response Research (RAPID) grant-funded project to observe potential […]

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Water Data and Software Services to Support Discovery, Reproducibility, and Collaboration in the Water-Resources Domain and Beyond

Guest post by Emily Clark, Project Manager, CUAHSI The mission of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is to enable interdisciplinary collaboration in the water sciences, provide critical cyberinfrastructure, and promote water science education at all levels. CUAHSI’s services can be especially useful in supporting the Northeast Big Data […]