This page is forever evolving. It aims to provide a guide or resource list to help support students, junior faculty / researchers, or those otherwise new in the systems sciences realm. If you have any suggested sources you would like to add or updates, comments, and/or questions feel free to email Amber Elkins at email@example.com
This is a list of student and junior-level researcher resources specific to the systems sciences in some form, whether theory, methods, software, or in combination. It won't include everything, but will include those that are (1) updated regularly, (2) cover an array of disciplines, (3) cover an array of geographies, and will only include sources noted by a sizable amount of students and junior-level researchers as a useful resource (i.e., not self-promoting links sent as suggestions). This list is evolving and growing and suggestions are welcome.
- CoMSES Net's Job Board, the Network for Computational Modeling in Social and Ecological Sciences, agent-based and computational models for the study of social and ecological systems has jobs for everyone from computer scientists to social scientists.
#models , #social , #agentbased , #ecology, #jobs, #CoMSES
Systems Modeling Software, Tools, & Resources
#systemdynamics #discreteevent #agentbased #GIS #hybrid
#hybrid #agentbased #socialnetworks #gis #systemdynamics #python
#agentbased #systemdynamics #hybrid
#hybrid #agentbased #socialnetworks #gis #systemdynamics
Courses, Workshops, & Other Trainings
General Overviews of Systems Methods
- Garson, G. D. 2009. Computerized simulation in the social sciences: A survey and evaluation. Simulation & Gaming 40.2: 267–279.
- Gilbert, N., and K. G. Troitzsch. 1999. Simulation for the social scientist. Philadelphia: Open Univ. Press.
- Lansing, J. S. 2003. Complex adaptive systems. Annual Review of Anthropology 32:183–204.
- Miller, J. H., and S. E. Page. 2007. Complex adaptive systems: An introduction to computational models of social life. Princeton, NJ: Princeton Univ. Press.
- Mitchell, M. 2011. Complexity: A guided tour. New York: Oxford Univ. Press.
- Shalizi, C. R. 2006. Methods and techniques of complex systems science: An overview. In Complex systems science in biomedicine. Edited by T. S. Deisboeck and J. Yasha Kresh, 33–114. New York: Springer.
- de Savigny, D., and T. Adam, eds. 2009. Systems thinking for health systems strengthening. Geneva, Switzerland: World Health Organization.
- Epstein, J. M. & Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom Up. Washington, DC: The Brookings Institution.
- Finegood, D. T., L. Johnston, P. Giabbanelli, et al. 2012. Complexity and systems theory. Oxford Bibliographies: Public Health. New York: Oxford Univ. Press.
- Galea, S., M. Riddle, and G. A. Kaplan. 2010. Causal thinking and complex system approaches in epidemiology. International Journal of Epidemiology 39:97–106.
- Gilbert, N. & Troitzsch, Klaus G. (2005) Simulation for the Social Scientist. (Second Edition). New York: Open University Press.
- Heppenstall, A. J., Crooks, A. T., See, L. M., Batty, M. (Eds.) (2012). Agent-Based Models of Geographical Systems. Dordrecht: Springer.
- Janssen, M.A. (2015). Introduction to Agent Based Modeling.
- Leischow, S. J., A. Best, W. M. Trochim, et al. 2008. Systems thinking to improve the public’s health. American Journal of Preventive Medicine 35.2: S196–S203.
- Luke, D. A., and K. A. Stamatakis. 2012. Systems science methods in public health: Dynamics, networks and agents. Annual Review of Public Health 33:357–376.
- Norman, C. D. 2009. Health promotion as a systems science and practice. Journal of Evaluation in Clinical Practice 15.5: 868–872.
- Plsek, P. E., and T. Greenhalgh. 2001. The challenge of complexity in health care. British Medical Journal 323:625–628.
- Railsback, S. F. & Grimm, V. (2012). Agent-Based and Individual-Based Modeling. Princeton: Princeton University Press.
- Shoham, Y. & Leyton-Brown, K. (2009). Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. New York: Cambridge University Press.
- Weiss, G. (Ed.) (1999). Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. Cambridge, MA: The MIT Press.
- Wilensky, U. & Rand, W. (2015). An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. Cambridge, MA: The MIT Press.
- Willis, C. D., C. Mitton, J. Gordon, and A. Best. 2012. Systems tools for systems change. BMJ Quality and Safety 21.3: 250–262.
- Auchincloss, A. H., and A. V. Diez Roux. 2008. A new tool for epidemiology: The usefulness of dynamic-agent models in understanding place effects on health. American Journal of Epidemiology 168.1: 1–8.
- Berk, R. 2008. How you can tell if the simulations in computational criminology are any good. Journal of Experimental Criminology 4:289–308.
- Epstein, J. M. 2006. Generative social science: Studies in agent-based computational modeling. Princeton, NJ: Princeton Univ. Press.
- Galea, S., C. Hall, and G. A. Kaplan. 2008. Social epidemiology and complex system dynamic modeling as applied to health behavior and drug use research. International Journal of Drug Policy 20.3: 209–216.
- Gilbert, N. 2008. Agent-based models. Thousand Oaks, CA: SAGE.
- Grimm, V., U. Berger, F. Bastiansen, et al. 2006. A standard protocol for describing individual-based and agent-based models. Ecological Modeling 198:115–126.
- Israel, N., and M. Wolf-Branigin. 2011. Nonlinearity in social service evaluation: A primer on agent-based modeling. Social Work Research 35.1: 20–24.
- Railsback, S. F., and V. Grimm. 2012. Agent-based and individual-based modeling: A practical introduction. Princeton, NJ: Princeton Univ. Press.
Here are some videos from the graduate course that is offered around and as a part of the ISSS Annual Meeting.
Systems Thinking in Practice, Systems Lineages - Implications for Research and Practice, Debora Hammond at the ISSS Annual Meeting Graduate Course in Boulder CO, July 2016