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
