Online + Exploratory + Transdisciplinary

 

Program Overview • Dates & Times • Registration Fee • Program Goals • Venue • Faculty • Audience • Application Requirements

 

Program Overview

SFI Complexity Interactive (SFI-CI) combines the dynamic interactions of an in-person course with the flexibility to learn from anywhere in the world. This two-week, part-time, online course offers participants a theory- and applications-based overview of complexity science. Complexity Interactive provides a foundation for thinking broadly about complex systems, encouraging participants to explore syntheses across systems in an open dialog with SFI faculty. The program's size is limited to ensure everyone has ample opportunity to discuss with faculty and with each other.

In 2023, the curriculum will investigate modeling humans and social behavior, focusing on methods and approaches from complex systems science.

Dates & Times

October 9 – 20, 2023

Live sessions take place 8:00–10:00AM Santa Fe local time (GMT-6), Monday - Friday. Participants are encouraged to self-schedule time for group discussion and a hackathon project.

Registration Fee

The 2023 program registration fee is $300. A limited number of scholarships are available to participants who can articulate a need for support; scholarship application instructions will be provided upon acceptance into the program.

Program Goals

• recognize cross-system regularities that govern complex systems and have a vocabulary for describing those properties 
• understand the approaches used to understand complex systems and the considerations for employing different approaches
• work collaboratively on a hackathon project
• expand your global complex systems scientific network

Venue

SFI-CI takes place online, using a variety of platforms, all of which are available at no cost but may require registration. Access to YouTube will be required to access recorded content.

Faculty

As a computational sociologist, Program Director Tamara van der Does studies how individual beliefs and identities are influenced by social and cultural contexts. She is driven by a desire to investigate fundamental theoretical questions using innovative empirical approaches. Through her work at the Santa Fe Institute, she explored how models from physics, economics, and computer science can help us understand the interplay between individual beliefs, group identities, and social networks.

Project Coordinator Santiago Guisasola is a game theorist who specializes in mathematically modeling social and behavioral phenomena, with roles in both the private sector and in academia. Santiago served as the instructor for ComplexityExplorer.org's Introduction to Complex Systems course for several years, and he was a Complex Systems Summer School participant in 2016. He holds a PhD in Mathematical Behavioral Sciences from University of California, Irvine, and completed postdoctoral work at Instituto de Matemática Pura e Aplicada (Brazil).

The faculty comprises members of SFI's research network and includes:

Amy Bogaard  |  Elizabeth Bruch  |  Mirta Galesic  |  David Krakauer  |  Melanie Mitchell  |  Scott Page  |  Paul Smaldino |  Dan Stein

Audience

Complexity Interactive is aimed at practicing researchers and leaders from academic, private, non-profit, and government sectors. The curriculum is especially suited to graduate students and postdocs (or those at similar career stages) who wish to develop a trans-disciplinary approach in their work, as well as those who want a deeper look into the approaches of complex systems science as practiced at SFI.

The SFI-CI team is committed to offering inclusive educational programs in which all participants feel valued and supported in their learning journey. We believe that human diversity in all of its dimensions is essential to meaningful scientific progress. We believe that open discourse and respectful sharing of broad perspectives is essential for understanding our world. We work to ensure our educational programs reflect and encourage this diversity and inclusivity, and we welcome you to join us.

Application Requirements 

• biographical information
• current CV or résumé
• personal statement of interest in the course (max. 1 page)
• research statement (max. 1 page)