Open main menu

Wikipedia β

Cliodynamics /ˈkli.dˈnæmɪks/ is a transdisciplinary area of research integrating cultural evolution, economic history/cliometrics, macrosociology, the mathematical modeling of historical processes during the longue durée, and the construction and analysis of historical databases.[1] Cliodynamics treats history as science. Its practitioners develop theories that explain such dynamical processes as the rise and fall of empires, population booms and busts, spread and disappearance of religions. These theories are translated into mathematical models. Finally, model predictions are tested against data. Thus, building and analyzing massive databases of historical and archaeological information is one of the most important goals of cliodynamics.



The word cliodynamics is composed of clio- /ˈkli./ and -dynamics /dˈnæmɪks/. In Greek mythology, Clio is the muse of history. Dynamics, most broadly, is the study of how and why phenomena change with time.


The term was originally coined by Peter Turchin in 2003, and can be traced to the work of such figures as Ibn Khaldun, Alexandre Deulofeu, Jack Goldstone, Sergey Kapitsa, Randall Collins, John Komlos, and Andrey Korotayev.

Mathematical modeling of historical dynamicsEdit

Many historical processes are dynamic (a dynamic process is one that changes with time). Populations increase and decline, economies expand and contract, states grow and collapse. A very common approach, which has proved its worth in innumerable applications (particularly, but not exclusively, in the natural sciences), consists of taking a holistic phenomenon and splitting it up into separate parts that are assumed to interact with each other. This is the dynamical systems approach, because the whole phenomenon is represented as a system consisting of several elements (or subsystems) that interact and change dynamically; that is, over time. In the dynamical systems approach, one sets out explicitly with mathematical formulae how different subsystems interact with each other. This mathematical description is the model of the system, and one can use a variety of methods to study the dynamics predicted by the model, as well as attempt to test the model by comparing its predictions with observed empirical, dynamic evidence. Cliodynamics is the application of this same approach to the social sciences in general and to the study of historical dynamics in particular.

Cliodynamics practitioners apply mathematical models to explain macrohistorical patterns – things like the rise of empires, social discontent, civil wars, and state collapse. Although the focus is usually on the dynamics of large conglomerates of people, the approach of cliodynamics doesn't preclude the inclusion of human agency in its explanatory theories. Such questions can be explored with agent-based computer simulations.

Isaac Asimov employed a fictional version of this discipline, called psychohistory, as a major plot device in his Foundation series of science fiction novels.

Databases and data sourcesEdit

Cliodynamics relies on large bodies of evidence to test competing theories on a wide range of historical processes. This typically involves building massive stores of evidence. The rise of digital history and various research technologies have allowed huge databases to be constructed in recent years. Some prominent databases utilized by cliodynamics practitioners include the following:


As of 2016, the main directions of academic study in cliodynamics are:

  • The coevolutionary model of social complexity and warfare, based on the theoretical framework of Cultural Multilevel Selection[7]
  • The study of revolutions and rebellions[8]
  • Structural-demographic theory and secular cycles[9]
  • Explanations of the global distribution of languages benefitted from the empirical finding that the geographic area in which a language is spoken is more closely associated with the political complexity of the speakers than with all other variables under analysis.[10]
  • mathematical modeling of the long-term ("millennial") trends of the World System dynamics,[11]
  • structural-demographic models of the Modern Age revolutions, including the Arab revolutions of 2011.[12]
  • The analysis of vast quantities of historical newspaper content has been pioneered by,[13] which showed how periodic structures can be automatically discovered in historical newspapers. A similar analysis was performed on social media, again revealing strongly periodic structures.[14]

There are several established venues of peer reviewed cliodynamics research:

  • Cliodynamics: The Journal of Quantitative History and Cultural Evolution[15]
    • peer-reviewed web-based (open-access) journal that publishes on the transdisciplinary area of cliodynamics. It seeks to integrate historical models with data to facilitate theoretical progress.
    • The first issue was published in December 2010. Cliodynamics is a member of Scopus and the Directory of Open Access Journals (DOAJ).
  • Santa Fe Institute[17]
    • private, not-for-profit research and education center where leading scientists grapple with some of the most compelling and complex problems of our time. The institute supports work in complex modeling of networks and dynamical systems. One of the areas of SFI research is Cliodynamics (see History as Science).
    • In the past the Institute has sponsored a series of conversations and meetings on theoretical history (see, for example, An Inquiry into History, Big History, and Metahistory).

See alsoEdit


  1. ^ Peter Turchin Arise cliodynamics, 2008 Nature (3 July 2008)
  2. ^ Turchin, Peter; Brennan, Rob; Currie, Thomas E.; Feeney, Kevin C.; Francois, Pieter; Hoyer, Daniel; Manning, J. G.; Marciniak, Arkadiusz; Mullins, Daniel; Palmisano, Alessio; Peregrine, Peter; Turner, Edward A. L.; Whitehouse, Harvey (2015). "Seshat: The Global History Databank". Cliodynamics. 6: 77.
  3. ^ Kirby, Kathryn R.; Gray, Russell D.; Greenhill, Simon J.; Jordan, Fiona M.; Gomes-Ng, Stephanie; Bibiko, Hans-Jörg; Blasi, Damián E.; Botero, Carlos A.; Bowern, Claire; Ember, Carol R.; Leehr, Dan; Low, Bobbi S.; McCarter, Joe; Divale, William (2016). "D-PLACE: A Global Database of Cultural, Linguistic and Environmental Diversity". PLoS ONE. 11 (7). doi:10.1371/journal.pone.0158391. 
  4. ^ Peter N. Peregrine, Atlas of Cultural Evolution, World Cultures 14(1), 2003
  5. ^ "eHRAF Archaeology". Human Relations Area Files. 
  6. ^ "eHRAF World Cultures". Human Relations Area Files. 
  7. ^ Turchin P. 2003. Historical Dynamics: Why States Rise and Fall. Princeton, NJ: Princeton University Press; Turchin P. 2005. War and Peace and War. Plume; Turchin P. 2009. A theory for formation of large states. Journal of Global History 4:191-217. Turchin P. 2011. Warfare and the Evolution of Social Complexity: A Multilevel-Selection Approach. Structure and Dynamics 4(3(1)):1-37
  8. ^ Goldstone J. 1991. Revolution and Rebellion in the Early Modern World. Berkeley, California: University of California Press; Turchin P. 2003. Historical Dynamics: Why States Rise and Fall. Princeton, NJ: Princeton University Press; Turchin P. 2005. War and Peace and War. Plume
  9. ^ Turchin P., Nefedov S. 2009. Secular Cycles. Princeton, NJ: Princeton University Press; Korotayev, A., Malkov, A., & Khaltourina, D. 2006b. Introduction to Social Macrodynamics: Secular Cycles and Millennial Trends. Moscow: URSS. ISBN 5-484-00559-0; Korotayev, A. & Khaltourina D. 2006 Introduction to Social Macrodynamics: Secular Cycles and Millennial Trends in Africa. Moscow: URSS. ISBN 5-484-00560-4.
  10. ^ Currie, Thomas; Mace, Ruth (2009). "Political complexity predicts the spread of ethnolinguistic groups". PNAS. 106 (18): 7339–7344. PMC 2670878 . PMID 19380740. doi:10.1073/pnas.0804698106. Retrieved 2 August 2016. 
  11. ^ Tsirel, S. V. 2004. On the Possible Reasons for the Hyperexponential Growth of the Earth Population. Mathematical Modeling of Social and Economic Dynamics / Ed. by M. G. Dmitriev and A. P. Petrov, pp. 367–9. Moscow: Russian State Social University, 2004; Korotayev A., Malkov A., Khaltourina D. 2006. Introduction to Social Macrodynamics: Compact Macromodels of the World System Growth. Moscow: URSS. ISBN 5-484-00414-4; Andrey Korotayev. The World System urbanization dynamics. History & Mathematics: Historical Dynamics and Development of Complex Societies. Edited by Peter Turchin, Leonid Grinin, Andrey Korotayev, and Victor C. de Munck. Moscow: KomKniga, 2006. ISBN 5-484-01002-0. P. 44-62 etc.
  12. ^ Korotayev, A.; Zinkina, J. (2011). "Egyptian Revolution: A Demographic Structural Analysis". Entelequia. Revista Interdisciplinar. 13: 139–169. 
  13. ^ Dzogang, Fabon; Lansdall-Welfare, Thomas; Team, FindMyPast Newspaper; Cristianini, Nello (2016-11-08). "Discovering Periodic Patterns in Historical News". PLOS ONE. 11 (11): e0165736. ISSN 1932-6203. PMC 5100883 . PMID 27824911. doi:10.1371/journal.pone.0165736. 
  14. ^ Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts F Dzogang, T Lansdall-Welfare, N Cristianini - 2016 IEEE International Conference on Data Mining, Workshop on Data Mining in Human Activity Analysis
  15. ^ Cliodynamics: The Journal of Quantitative History and Cultural Evolution
  16. ^ The University of Hertfordshire's Cliodynamics Lab
  17. ^ Santa Fe Institute
  18. ^ Turchin, Peter (2015). Ultrasociety: How 10,000 Years of War Made Humans the Greatest Cooperators on Earth. Beresta Books. ISBN 0996139516. 


External linksEdit