The Human Networks and Data Science program supports research that enhances understanding of human behavior by leveraging data and network science research across a broad range of topics. The program has two tracks: Human Networks and Data Science – Infrastructure (HNDS-I) and Human Networks and Data Science – Core Research (HNDS-R). HNDS-I proposals will address the development of data resources and relevant analytic techniques, while HNDS-R proposals will advance theory in a core Social, Behavioral, and Economic (SBE) discipline by the application of data and network science methods. Some key points to consider include: • The program supports research that leverages data and network science to understand human behavior • There are two tracks: HNDS-I for infrastructure development and HNDS-R for core research • Proposals should have significant impacts, either across multiple fields or within broad disciplinary areas • The program encourages innovative use of NSF-supported data networks, data bases, centers, and other forms of scientific infrastructure • Supported projects are expected to yield results that will enhance, expand, and transform theory and methods, and generate novel understandings of human behavior.