Ivania Martinez’s work combines economics, data science, and public policy to support data-driven decision-making and social impact.
Topic
machine learning
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.
Zhang et al. Assess Greenspace and CVD Risk Using Nurses
This study demonstrates that disaggregating greenspace is critical for understanding its cardiovascular effects. In a large, nationwide prospective cohort, higher exposure to street-view visible trees was associated with lower cardiovascular disease incidence, while grass and other low-lying greenspace were associated with higher risk.
Zhang et al. Study Street-View Greenspace and Exercise
In this prospective cohort, momentary street-view exposure to trees and grass was inversely associated with PA, while exposure to other greenspace was positively associated. Future research should confirm these results in other populations and explore the mechanisms through which specific greenspace components influence PA.
Bhuyan and Samuel Explore Generative AI Use in Healthcare
This paper examines various clinical and non-clinical applications of Gen AI. In clinical settings, Gen AI supports the creation of customized treatment plans, generation of synthetic data, analysis of medical images, nursing workflow management, risk prediction, pandemic preparedness, and population health management.
Research by Jim Samuel et al. “Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods”
This study develops an index dubbed the pandemic vulnerability index at city level (PVI-CI) for classifying the pandemic vulnerability levels of cities, grouping them into five vulnerability classes, from very high to very low. It provides critical wisdom needed for urban healthcare policy and resource management.
EJB Talks Alumni Spotlight: Making a Difference at Microsoft
For this EJBTalks episode, Simon Liepold MPAP ’05 talks to Stuart Shapiro about his role at Microsoft, describing his efforts in implementing important global topics such as sustainability, privacy, and cybersecurity.
Research: Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
Artificially intelligent technologies that can adapt information representations to overcome cognitive limitations are necessary for complex information environments.