CARE bridges the sciences of emergence, multilevel selection, consciousness, and artificial intelligence with local resilience and multilevel cooperation.

Mission

To help communities and civilizations thrive together by integrating rigorous science and systems modeling into real-world applications through experimental learning and evaluation. We study how adaptive systems — from neurons to nations — co-evolve through emergent processes. With a strong focus on social, economic, and ecological systems, we translate these insights into tools,practices, technologies, pilot projects, and practices. We aim to strengthen properly nested resilience within and between individuals, families, communities, and the institutions that connect them. We research, teach, and train transpartisan praxis grounded in our theory of moral pluralism.

Vision: Co-evolving toward greater coherence, resilience, and moral depth

We envision a world of properly nested, local, regional, and higher levels of organization, from individuals to international alliances — networks that are resilient, self-reliant, interdependent, and collectively adaptive. By advancing emergence theory, multi-level-selection science, neuroscience, social science theory, social science original research, and AI research, we aim to build a network of communities and laboratories that demonstrate how consciousness and cooperation can scale through levels of organization.

Core Objectives

 

1. Integrate Science Across Scales: Merge evidence from biological, cognitive, social, and artificial emergence to create a unified model of adaptive intelligence.
2. Prototype Local Resilience Systems: Develop community-scale experiments in governance, energy, manufacturing, and agriculture that embody our mission  in lived practice.
3. Advance Consciousness & AI Research: Study the dynamics of self-organization and awareness in natural and artificial systems to inform safer and more humane AI development.
4. Catalyze Policy and Finance Innovation: Translate findings into regenerative policy frameworks and cooperative economic tools that stabilize local prosperity.
5. Build Networks of Mutual Learning on these topics: Connect researchers, communities, and technologists to share models, data, and experiments within an evolving global network.

Research & Education Pillars

 

• Emergence and Teleodynamics: Deepening the theoretical understanding of constraint-based emergence in biological, cognitive, and social systems.

• Consciousness Studies: Investigating how awareness arises from dynamic networks — from neural systems to distributed social intelligence.

• AI and Collective Intelligence: Exploring architectures that model properly nested intelligence, where artificial agents enhance rather than replace human and ecological systems.

• Applied Systems Research: Using simulation, field experimentation, and participatory modeling to validate theories in living communities.

• Education & Public Literacy: Translating complex systems and consciousness science into accessible frameworks for communities, educators, and policymakers.

Direct Services

 

• Research Studies: Design and conduct original, peer-reviewed research on emergence. 

• Applied Research Implementation: Partnering with scientists and technologists to deploy AI and neuroscience-informed tools in real-world social and ecological contexts.

• Training & Capacity Building: Workshops on emergence, cognitive systems, cooperative governance, and ethical AI.

• Consultation & Design: Helping communities and enterprises organize as adaptive systems aligned with human and ecological flourishing.

• Project Incubation: Mentoring and supporting resilience and technology pilots that embody dnested, conscious design principles.