Santa Fe Institute

Applied Complexity Network FAQs

Q: How do I join the Applied Complexity Network?
A: To join the Applied Complexity Network, please send an email expressing your interest in Membership to the   Memberships are for a 12-month period, commencing upon receipt of the membership fee.

Q: What is the profile of a typical member?
A: Applied Complexity Network members include companies and organizations from diverse industries and government agencies around the world. Industrial research laboratories, manufacturing companies, financial institutions, and several sectors of high tech have been drawn to SFI. What unites all members is a desire to learn about the catalytic research that occurs here, and to discuss, in cross-industry groups, how results may be applied in their areas of interest.

Q: What is "complex systems research?"
A: The study of nonlinear, interactive systems from which interesting and unpredictable behavior emerges is the hallmark of the research that is pursued at SFI. This includes examining the dynamics of these 'complex systems' and how the systems evolve. The work is basic, theoretical science. Organizations that join the Applied Complexity Network are often involved in applied research areas that have their roots in, or can be informed by, the work being performed at SFI. The Applied Complexity Network provides a bridge between SFI's basic research and the applied work in which our members are engaged.

Q: How does SFI deal with intellectual property?
A: If an organization wishes to work with an SFI researcher on a specific project of mutual interest, the researcher brokers that relationship and the organization on terms decided by the two parties (e.g., independent contractor, consultant, non-disclosure, etc.).

Q: Can members send a researcher to SFI?
A: Yes, in fact members are encouraged to submit an application for the SFI sponsored Applied Complexity Network Fellowship. In addition, visits to the Institute by Applied Complexity Network members can be arranged.

About Applied Complexity Network