student sharing poster presentation

What Is Responsible Data Science?

Our Definition

Data Science draws upon multiple disciplines to apply or develop computational and analytic methods to responsibly explore data, discover actionable insights, and accelerate the translation of real-world evidence into practical solutions.

Pitt Is Pioneering Responsible Data Science Training and Research for Everyone

At Pitt, we empower human and organizational solutions with data science.

In our teaching and research at RDS@Pitt, we weave together applications and use cases within every stage of data-fueled projects, fusing together the expertise computer scientists, statisticians, and mathematicians with social scientists, social workers, and humanities scholars. We are building interdisciplinary teams that leverage data science to increase access to technology, understand and fight addiction, and create a sustainable future for future generations.

Read about the core goals of RDS@Pitt, as well as how those goals are realized through the organizational structure of the leadership team and staff, thematic communities of practice, and infrastructure to innovate and deliver responsible data science in Pitt's research, training and outreach.

Examples of RDS@Pitt

Projects at the Department of Biomedical Informatics (DBMI)
DBMI is host to a number of innovative and exciting labs and projects at the intersection of data science, artificial intelligence, and biomedical research.

National Center of Excellence for Computational Drug Abuse Research
CDAR is undertaking cutting edge work using chemical genomics technologies to facilitate drug abuse prevention and treatment. See also the Computational Chemical Genomics Screening Center.

Western Pennsylvania Regional Data Science (WPRDC)
The WPRDC supports a number of innovative and impactful projects that bring together context and data to better understand both our region and our world.

Pitt Disinformation Lab (PDL)
PDL at the Institute for Cyber Law, Policy, and Security creates a new, community-centered system for warning, understanding, and response to the challenges citizens face on digital platforms.  

Mascaro Center for Sustainable Innovation (MCSI)
MCSI merges research, education and engagement to innovate a sustainable future for us all.

Kitzes Lab
Kitzes Lab works to measure, analyze, and predict biodiversity loss with a specific emphasis on human-impacted habitats.

Sara Fine Institute
A leading institute for convening conversations and learning about responsible uses of technology in society.

Sustainable Social Computing Lab (SSCL)
SSCL explores the interaction between technology and society.

Sociotechnical Systems Research Lab
The Sociotechnical Systems Research Lab focuses their efforts on how understanding the intersection of technology and people can answer pressing societal problems and issues of national concern, ranging from interventions to improve education, health and welfare among vulnerable populations, human-machine teaming in mission critical applications, and more.