03/26/2026 | Press release | Distributed by Public on 03/27/2026 10:24
The AI seed grant awards will support a wide range of collaborations involving faculty from human development and family studies, sociology and criminology, education policy studies, cybersecurity and psychology.
UNIVERSITY PARK, Pa. - The Penn State Center for Social Data Analytics and the Consortium on Moral Decision-Making, in collaboration with the Social Science Research Institute (SSRI), has announced the recipients of its most recent seed grant awards. Six projects representing seven colleges and three universities received seed funding.
The awards will support innovative, interdisciplinary research projects that either apply artificial intelligence (AI) and data science to advance understanding of social and behavioral processes or examine the societal, ethical and human dimensions of AI.
The winning proposals came from a wide range of collaborations involving faculty from a variety of disciplines in human development and family studies, sociology and criminology, education policy studies, cybersecurity and psychology.
The awarded projects are:
This State of Connection project seeks to conduct the first wave of the State of Connection Survey with collaborators at Arizona State University and Duke University. Using biennial surveys, the researchers aim to understand what technology people are using to communicate with members of their social networks, how they are using them and the consequences for people's relationships, health and well-being.
This project will support the development and study of persuasion-aware explanations to support safer decisions in AI-mediated communication, especially for scams and misinformation. The study trains individuals to identify AI generated misinformation materials to lessen susceptibility to online scams.
This project will support the cross-disciplinary development and pilot testing of AiPRACTISE, a pipeline for socially responsible design, implementation, deployment and iterative fine-tuning of a series of multi-agent, local large language mode environments that enable AI chatbot-facilitated collaborative learning activities. The learning activities are aimed at generating better, more efficient outcomes for students and faculty The researchers will pilot test its scalability when used in collaborative assignments in classes across six departments and three Penn State campuses.
The project will address building deep understanding and advancing the social science research potential of the Eviction Knowledge Graph, a recently designed AI-driven database that will integrate eviction-related policies, programs and research into a searchable structure to support rigorous, interdisciplinary analysis.
This project addresses the persistent gap between harm reduction and the proactive creation of inclusive organizational climates by examining strengths-based leadership practices grounded in positive psychology and supported by ethically implemented AI.
The researchers on this project will examine cyberbullying on the popular social media platform Reddit. They will collect data on bullying and investigate the prevalence and key themes involved in online bullying with the use of cutting-edge natural language processing AI technology.
SSRI aims to foster novel, interdisciplinary collaborations by researchers who aim to address critical human and social problems at the local, national and international levels and to translate and disseminate this knowledge into measurable outcomes for human behavior, health and development.