Responsible Data Science is the intentional planning, development, application, and improvement of data-based and computational tools with the values of communities and organizations to empower positive decisions and mitigate harm.
Explore the work of several University of Pittsburgh researchers and offices as they relate to responsible data science.
The Carnegie HERO (Hero-Inspired Education and Research Outreach) Project is an exciting new collaboration between the Carnegie Hero Fund Commission (Hero Fund) and the Responsible Data Science Initiative at the University of Pittsburgh (RDS@Pitt), within the broader Roddey Altruism Program<—an ambitious effort to build a thriving interdisciplinary community centered on the study of altruism and heroic acts.
Our ConCReTE Curriculum cultivates agency, accountability, and confidence in learners through applied skills necessary for the age of AI. It includes context and datasets that are expanded into individual responsible data science opportunities (RDSOs) that allow learners to simulate decision-making in an online, simulated system.
Get familiar with the types of data science programs and degrees offered at the University of Pittsburgh.
Industries of all kinds collect and rely on data to conduct business. Take a look at some common job titles and business sectors that utilize graduates with data science degrees.