Literature:
- Books:
- “Complexity: The Emerging Science at the Edge of Order and Chaos” by Santa Fe Institute (A beginner-friendly classic)
- “Adaptive Networks: The Dynamics of Evolution and Access” by John H. Holland (Explores complex adaptive systems)
- “The Hidden Order: How Physics Makes Biology Possible” by Garyp Zukav (Bridges physics and biology through complexity)
- Research Papers:
- “The Laws of Dissipative Structures” by Ilya Prigogine (A foundational paper on thermodynamics and complexity)
- “A Framework for Understanding Self-Organizing Systems” by Stuart Kauffman (Explores self-organization)
- “Complex Adaptive Systems: An Introduction” by Michael D. Cohen (An overview of complex adaptive systems research)
Websites:
- Santa Fe Institute: https://www.santafe.edu/ (A leading research institute)
- Complexity Science Center Vienna: https://www.csh.ac.at/ (An interdisciplinary research center)
- The Network for Interdisciplinary Complex Systems Studies: https://www.nature.com/collections/ycjylwzvmz (A network of researchers)
Datasets:
- Santa Fe Institute Time Series Repository: https://www.santafe.edu/research/results/working-papers/the-future-of-time-series (Time series data from various complex systems)
- Human Mobility Archive: https://dl.acm.org/doi/abs/10.1145/3485125 (Human movement data from mobile phone records)
- Ecological Data Repository: https://knb.ecoinformatics.org/ (Ecological data from around the world)
Open Courses:
- Introduction to Complex Systems (MIT OpenCourseware): https://xpro.mit.edu/courses/course-v1:xPRO+SysEngx1/ (An introductory course from MIT)
- Complexity for Social Scientists (Coursera): https://www.coursera.org/learn/complexity (Applying complexity theory to social sciences)
- Agent-Based Modeling (edX): https://www.edx.org/school/stanfordonline (A course on agent-based modeling, a common tool)
- Complex Systems YouTube Channel: https://m.youtube.com/@santafeinstituteappliedcom9034 (Lectures and talks from the Santa Fe Institute)
- Complexity Podcast: https://complexity.simplecast.com/episodes (Interviews with leading researchers)