Systems: Integrating applications and middleware for automation, visualization, monitoring, and coordination of MMA campaigns.
Data Management, Communication and Collaboration: Facilitating access to and analysis of heterogeneous, high-volume, high-velocity data sets by globe-spanning, cross-disciplinary teams in dynamic collaborations. Enabling alerts and responses with automatic planning and execution to achieve adaptive, distributed, rapid-response observing campaigns.
Analysis, Inference, and Machine Learning: Integrating data science algorithms, inference methods, and statistical tools to enable transformative discovery and interpretation.
Modeling and Theory: Engaging theory and modeling communities with ongoing observing campaigns to enhance the impact of data collection on understanding astrophysical phenomena through multi-messenger observations.
Education, Training, and Workforce Development: Building capacity and diversity in MMA through education, mentoring, course development and public outreach.
Management: Running the institute