CAS2025

Complex Adaptive Systems * March 5-7, 2025 * MIT Campus, Cambridge, MA USA

Online Registration closed. On site registration will be available.

Keynote Speakers

Workshops

Conference Theme

Today’s product and services systems are multi-faceted, with distinct levels of implementation that entail complex logic with levels of reasoning in intricate arrangement, organized by webs of connections.  These systems increasingly demonstrate self-driven adaptability, autonomy, and emergent behavior. The demand for — and possibility of — systems adaptability will impact design, manufacturing, and operations across many sectors, including defense, healthcare, energy, transportation, emergency response, agriculture, and society overall.

At the same time, engineering activity for complex systems challenges is increasingly transdisciplinary, from problem framing and concept development to solution implementation. Transdisciplinary engineering is characterized by engagement of multiple technical disciplines along with non-engineering experts and stakeholders.  This year’s CAS Conference theme is adaptability of complex systems through transdisciplinary systems and solutions.  How we engineer as well as the systems we generate are systems with significant opportunity from adaptability, and risks from lack of adaptability.

CAS 2025 seeks to balance attention to research on advanced methods and domain applications. Domain application studies are invited across a broad range of systems, including mechanical, computational, urban, biological, natural, and services systems. The conference aims to foster innovative methods to address adaptability, including recent advances in autonomy, resilience, AI, complex sociotechnical systems, and system of systems. Submissions by practitioners with case studies and field experience with complex systems and adaptability are welcome.

Important Dates

Final Manuscript and Copyright FormFebruary 26, 2025
Conference DatesMarch 5-7, 2025

CAS was founded in 1990

Engineered complex adaptive systems can be designed to incorporate a collection of rules that can initiate a response to the environment, thereby invoking a desired adaptive system behavior similar to biological systems.

Cihan Dagli, Missouri University of Science & Technology

Conference Founder