The Software Engineering and Analytics Division (SEAD) focuses on sustainable software systems engineering, complex algorithm development, human-centered research, and population decision-making. We are a people-first division, committed to fostering a welcoming and integrated culture through teamwork, open communication, and information sharing.

Our goal is to grow a forward-looking capability in the data management life cycle, bringing innovative, cross-disciplinary methods to the lab's information science portfolio. Our technical and domain areas include:

• Social service software systems
• Data management and readiness
• Global and public health
• User-centered design and data visualization
• Statistics and applied math
• Knowledge-based AI and natural language processing
• Social science analytics
• Scalable database design and search