The National Science Foundation (NSF) awarded a $380,762 Project Grant through its Computer and Information Science and Engineering (CISE) program to Rensselaer Polytechnic Institute (RPI) on October 15, 2023. The grant supports a collaborative research project titled "Graph Neural Networks for Heterophilous Data: Advancing the Theory, Models, and Applications". The project aims to enhance the capability of graph neural networks (GNNs) to effectively model and analyze heterophilous data, where dissimilar entities are connected. Key objectives include: (a) developing new theory to better understand the challenges of GNNs in heterophilous settings, (b) introducing new GNN architectures robust, fair, and transparent, and (c) exploring high-impact applications of the improved GNN models in collaboration with industry partners. The project will also train a diverse cohort of students at RPI, the New Jersey Institute of Technology, and Michigan State University through integration with advanced courses and research opportunities.