The SFI Mission Statement
Searching for Order in the Complexity of Evolving Worlds
Scientific Principles of SFI
We find order in ubiquitous patterns that repeat throughout living nature: networks, conflict and cooperation, distributed decision making, the structured flow of energy, and elements of invention and novelty. These patterns are found at all scales, from the molecular, through tissues, individuals, technology, the economy, and cultures.
We seek to understand and unify these patterns of order through new ideas building upon evolutionary game theory, non-linear dynamics, out of equilibrium statistical mechanics, information theory, the theory of scaling of resource networks, robust design, non-traditional theories of computing, agent-based modeling, and formalisms
coupling adaptive information with sources of energy.
Our research domain is that of complexity: the evolved order inherent in the living world. We investigate complexity arising through the emergent laws and frozen accidents of deep history encompassing organic and cultural change.
We study biological worlds, social worlds, cultural worlds, technological worlds, and even possible counterfactual astrobiological worlds we have yet to encounter.
Our search for order in complexity takes place across a global research network without boundaries, without departments and without disciplines, providing intellectual nourishment, significant amplification of ideas and impact, and unification to all curious minds steeped in the rigors of logical, mathematical and computational
The SFI connects researchers driven by an insatiable desire to understand invisible mechanisms supporting evolving worlds, and to use this understanding to promote the wellbeing and future of life on earth.
Watch linguist John McWhorter deliver a community lecture in which he rethinks the widely-held belief that the language we speak shapes how we experience life.
During a working group this week at SFI, roughly a dozen ecologists and computer scientists will explore ways emerging technologies might help researchers better understand why and how individuals in ...
Researchers meet at SFI this week to understand how two evolutionary strategies -- migration and cooperation -- might have co-evolved, and in what situations one strategy prevails.
The Santa Fe Institute is accepting registrations for its newest short course, Exploring Complexity in Health and Medicine, October 12-14 in Santa Fe. NEW: CME credits available.
September 21-23 in Austin, TX, an intensive SFI short course will bring participants to the forefront of innovation research.