Penn State’s Center for Socially Responsible Artificial Intelligence manages an annual seed funding program, which aims to generate proof-of-concept studies and preliminary results that will lead to bigger externally funded projects.
Penn State’s Center for Socially Responsible Artificial Intelligence is inviting short proposals for a special off-cycle round of Big Idea Grant (BIG) seed funding earmarked for early concepts and research that has transformational potential.
Applications will be accepted at the seed grant website below through May 1, with projects expected to start on July 1 and last for up to two years. Awards will range from $5,000 to $50,000.
This is a high-risk, high-reward grant program to support Penn State faculty in piloting cutting-edge ideas and research that advances the center’s mission of promoting, practicing, and studying socially responsible ways of using, building, and deploying AI technology. All projects should show potential for transformational AI-related research that can contribute to social good, social accountability, social consciousness, social justice, equity, ethicality, fairness, inclusivity, transparency, privacy, human agency, or related concepts.
Funding Details and Submissions
AI-based Ventures, Fair Data Practice, and Government Interventions
Jue Wang, Smeal College of Business
Daniel Mallinson, Penn State Harrisburg
Eric Best, Penn State Harrisburg
Pedro Robles, Penn State Lehigh Valley
Lauren Azevedo, Penn State Harrisburg
An AI-Driven Tool for Case Assessment of Survivors of Online Sexual Abuse and Exploitation among Children
Amulya Yadav, College of Information Sciences and Technology
Samuel Schleipman, World Hope International
Andy Gatto, Nittany AI Alliance
AI for Synthesizing Social Science Knowledge
Kevin Munger, College of the Liberal Arts
Sarah Rajtmajer, College of Information Sciences and Technology
Predicting Number of Tenants At-Risk of Eviction in High Resolution using Social Media, E-Commerce Data, Sociological Insights, and Low-Resolution Eviction Data
Dongwon Lee, College of Information Sciences and Technology
Amulya Yadav, College of Information Sciences and Technology
J. Andrew Petersen, Smeal College of Business
Guangqing Chi, College of Agricultural Sciences
Towards data privacy and security in the era of digital agriculture
Anna Squicciarini, College of Information Sciences and Technology
Paul Esker, College of Agricultural Sciences
Primal Pappachan, College of Information Sciences and Technology
Mladen Cukak, College of Agricultural Sciences
Understanding the Prevalence of Drinking Water Service Disruption through Large-Scale Analysis of News Articles and Social Media
Christine Kirchhoff, College of Engineering
Shomir Wilson, College of Information Sciences and Technology
Automated Techniques for Educational Meta-Analyses to Improve Diversity, Equity and Inclusion of Educational Policy and Classroom Methods
Modeling Transition Patterns of E-Cigarette and Cigarette Use in Youths to Inform E-Cigarette Regulatory Policies
The Most Magical AI on Earth? How Magical Discourses Normalize and Legitimate AI Systems
Promoting Algorithmic Fairness in Educational Technology
Socially Responsible AI for Autonomous Vehicles
Study with Me: Self-Regulated Learning with Virtual Studying Environments and Personalized Study Companion
'You Do Your Own Dirty Work’: Addressing the Risks of Ethical Outsourcing to Artificial Intelligence
Application of AI-enabled Nondestructive Evaluation for Equitable Access to Safe Infrastructure
Diversity and Fairness in Gig Economies
GPS for Future of Work: AI Based Career Development and Transition of Displaced Workers
Intelligent Tutoring System Using Reinforcement Learning for Students with Autism Spectrum Disorder
The Moral Psychology of Human-Technology Interactions
Interested researchers who are looking for potential collaborators are invited to submit their interest on the CSRAI website. They can also consult the center’s directory of affiliates and consider becoming an affiliate themselves.
