Ivania Martinez’s work combines economics, data science, and public policy to support data-driven decision-making and social impact.
Topic
MPI
Sina-Marie Mayer: Intersection of data science, AI, and public policy.
Sina-Marie Mayer works at the intersection of data science, AI, and public policy. In a directed research project, she analyzes large-scale Reddit data using natural language processing and topic modeling to examine how fear and stress appear in public discourse around artificial intelligence.
Ayse Sert Oti: AI Governance, Health Equity, and Public Policy
Ayse aims to work at the intersection of AI governance, health equity, and public policy. Her current project, CASN (Cognitive Autonomy & Safety Negotiation), explores a privacy-aware AI decision-support system designed to help dementia caregivers navigate high-risk situations.
Leveraging AI to enhance patient care and better healthcare systems
“The MPI Program didn’t just teach the “how” of data, but the “why” of using it to improve people’s lives”
U. professor takes on experiential learning at the Jersey Shore
“The whole idea of experiential learning is that it’s something you’re immersed in, and therefore, in a sense, you’re more likely to believe your own eyes instead of just what’s in the book,” Andrews said.
Temporality in Housing Markets: The Jersey Shore Case
Professor Clint Andrews takes his students on a field trip to the Jersey Shore for his class Temporality in Housing Markets: The Jersey Shore Case
Rimshah Jawad (MPI ’26) Featured for National Student Parent Month
Rimshah notes that the student services staff at Bloustein— Dean Weston, Courtney, Greg, and Andrea— have been an incredible source of support. “From the very beginning, they welcomed me and guided me whenever I felt unsure. My advisor, Professor Clint, who invited me to his family picnic when he first met me with my kids, which meant so much. And my program director, Professor Jim Samuel, has always encouraged and appreciated me in ways that keep me motivated.”
RAISE-25 Recap – Our Future With AI: Utopian or Dystopian?
Hosted by the Master of Public Informatics (MPI) program, the final round of the second annual RAISE-25 Informatics – Data Science competition was held Friday, April 11, 2025, at the Bloustein School. The competition challenge focused on “Our Future With AI: Utopian or Dystopian?”
RAISE-24 Recap: Does News Media Spread Fear of AI?
The final round for the RAISE-24 Informatics – Data Science competition was held Friday, April 19, 2024 at the Bloustein School. Hosted by the Master of Public Informatics (MPI) program, the inaugural competition challenge asked competitors “Does News Media Spread Fear of AI?”
Alumnus Ali Jan (MPI ’22) Reflects on the Importance of Data Analytics
“Data is a powerful tool that can inform policy decisions and drive positive change in society. As a data analyst, it’s important to always be curious, ask the right questions, and utilize the best tools available to gain insights from the data.”