In March, the University of Pittsburgh hosted its second annual Data Science Day, bringing together students, faculty and industry leaders to discuss the future of responsible data science and ethical AI.
Students
Advanced Digital Leadership Opportunities for Current Students
Joe Yun: Keynote for Data Science Day 2025
University of Pittsburgh’s Data Science Day 2025 is excited to welcome Dr. Joseph T. Yun as a keynote speaker.
Dr. Yun, an artificial intelligence and innovation architect, also serves as a research professor of electrical and computer engineering at the Swanson School of Engineering.
Poster Prizes at Data Science Day 2025
At Data Science Day 2025, students have the opportunity to present their research, showcase innovative applications of data science and AI, and engage with experts across disciplines.
But beyond gaining valuable experience and networking, there is also an exciting opportunity to compete for a poster prize.
This year, RDS@Pitt is awarding a $250 prize for an outstanding student poster that demonstrates excellence in responsible data science.
The Value of Student Research: Why You Should Present at Data Science Day 2025
Student research is at the heart of innovation in responsible data science. At RDS@Pitt, we recognize the importance of equipping students with the tools, ethical considerations, and real-world applications necessary to make an impact.
One of the best ways to showcase student-led research is through poster presentations, where scholars can share their insights, receive valuable feedback, and connect with experts across disciplines.
New Appointments in Data and Open Research at UCSUR
The University Center for Social and Urban Research (UCSUR) is expanding its expertise in research and open data with the addition of two new appointments: Dr. Anita Zuberi and Jamaica Jones. These appointments reinforce UCSUR’s role in advancing data-driven insights and fostering open research initiatives across the University of Pittsburgh and beyond.
Master of Library and Information Science (MLIS) Program at Pitt: Driving Responsible Data Science
Understanding and advancing responsible data science requires more than technical expertise—it demands a nuanced approach to human behavior, organizational dynamics, and collaboration.
At its core, responsible data science thrives on trust, shared values, and effective communication, all of which are shaped by the people and systems within an organization.
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