Cliodynamics (//) is a transdisciplinary area of research that integrates cultural evolution, economic history/cliometrics, macrosociology, the mathematical modeling of historical processes during the longue durée, and the construction and analysis of historical databases.
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, and the 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 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 dynamics
Many historical processes are dynamic, in that they change with time: populations increase and decline, economies expand and contract, states grow and collapse, and so on. As such, practitioners of cliodynamics apply mathematical models to explain macrohistorical patterns—things like the rise of empires, social discontent, civil wars, and state collapse.
Cliodynamics is the application of a dynamical systems approach to the social sciences in general and to the study of historical dynamics in particular. More broadly, this approach is quite common and has proved its worth in innumerable applications (particularly in the natural sciences).
The dynamical systems approach is so called because the whole phenomenon is represented as a system consisting of several elements (or subsystems) that interact and change dynamically (i.e., over time). More simply, it consists of taking a holistic phenomenon and splitting it up into separate parts that are assumed to interact with each other. 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.
Although the focus is usually on the dynamics of large conglomerates of people, the approach of cliodynamics does not preclude the inclusion of human agency in its explanatory theories. Such questions can be explored with agent-based computer simulations.
Databases and data sources
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 Seshat: Global History Databank, which systematically collects state-of-the-art accounts of the political and social organization of human groups and how societies have evolved through time into an authoritative databank. Seshat is affiliated also with the Evolution Institute, a non-profit think-tank that "uses evolutionary science to solve real-world problems."
- D-PLACE (Database of Places, Languages, Culture and Environment), which provides data on over 1,400 human social formations.
- The Atlas of Cultural Evolution, an archaeological database created by Peter N. Peregrine.
- CHIA (Collaborative Information for Historical Analysis), a multidisciplinary collaborative endeavor hosted by the University of Pittsburgh with the goal of archiving historical information and linking data as well as academic/research institutions around the globe.
- International Institute of Social History, which collects data on the global social history of labour relations, workers, and labour.
- Human Relations Area Files (eHRAF)
- Clio-Infra, a database of measures of economic performance and other aspects of societal well-being on a global sample of societies from 1800 CE to the present.
- The Google Ngram Viewer, an online search engine that charts frequencies of sets of comma-delimited search strings using a yearly count of n-grams as found in the largest online body of human knowledge, the Google Books corpus.
Areas of study
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
- The study of revolutions and rebellions
- Structural-demographic theory and secular cycles
- 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.
- mathematical modeling of the long-term ("millennial") trends of world-systems analysis,
- structural-demographic models of the Modern Age revolutions, including the Arab revolutions of 2011.
- The analysis of vast quantities of historical newspaper content has been pioneered by, 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.
There are several established venues of peer-reviewed cliodynamics research:
- Cliodynamics: The Journal of Quantitative History and Cultural Evolution is a 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).
- The University of Hertfordshire's Cliodynamics Lab is the first lab in the world dedicated explicitly to the new research area of cliodynamics. It is directed by Pieter François, who founded the Lab in 2015.
- The Santa Fe Institute is a private, not-for-profit research and education center where leading scientists grapple with compelling and complex problems. The institute supports work in complex modeling of networks and dynamical systems. One of the areas of SFI research is cliodynamics. In the past the institute has sponsored a series of conversations and meetings on theoretical history.
Critics of cliodynamics often argue that the complex social formations of the past cannot and should not be reduced to quantifiable, analyzable 'data points', for doing so overlooks each historical society's particular circumstances and dynamics. Many historians and social scientists contend that there are no generalisable causal factors that can explain large numbers of cases, but that historical investigation should focus on the unique trajectories of each case, highlighting commonalities in outcomes where they exist. As Zhao notes, "most historians believe that the importance of any mechanism in history changes, and more importantly, that there is no time-invariant structure that can organise all historical mechanisms into a system."
Cliodynamicists, on the other hand, contend that there are large-scale, macrohistorical patterns that can explain the historical dynamics of the majority of known cases, and that these patterns can be uncovered through systematic, mathematical analysis. They argue that the ability of cliodynamics research to expose these patterns and to explain historical events demonstrates the feasibility of the approach.
- Critical juncture theory
- Generations (book)
- Historical geographic information system
- Sociocultural evolution
- Historical dynamics
- Turchin 2008.
- Sussan 2013. sfn error: no target: CITEREFSussan2013 (help)
- Schrodt 2005.
- Spinney 2012. sfn error: no target: CITEREFSpinney2012 (help)
- Parry 2013. sfn error: no target: CITEREFParry2013 (help)
- Orf 2013.
- Tainter 2004, p. 488.
- Seabright 2004, p. 806-7.
- Keen & Owen 2017. sfn error: no target: CITEREFKeenOwen2017 (help)
- Spinney 2016. sfn error: no target: CITEREFSpinney2016 (help)
- Turchin et al. 2015.
- Kirby et al. 2016.
- Peregrine 2003.
- "CHIA: The Collaborative Information for Historical Analysis". www.chia.pitt.edu.
- "International Institute of Social History". socialhistory.org.
- "eHRAF Archaeology". www.yale.edu. Human Relations Area Files.
- "eHRAF World Cultures". www.yale.edu. Human Relations Area Files.
- "Clio-Infra". www.clio-infra.eu.
- Turchin 2003.
- Turchin 2005.
- Turchin 2009.
- Turchin 2011.
- Koyama 2016.
- Goldstone 1991. sfn error: no target: CITEREFGoldstone1991 (help)
- Turchin & Nefedov 2009. sfn error: no target: CITEREFTurchinNefedov2009 (help)
- Korotayev, Malkov & Khaltourina 2006b.
- Korotayev & Khaltourina 2006.
- Greby 2016.
- Zeigler 2010.
- Graber 2008.
- Currie & Mace 2009.
- Tsirel 2004.
- Korotayev, Malkov & Khaltourina 2006a.
- Korotayev 2006, p. 44-62 etc..
- Korotayev & Zinkina 2011.
- Dzogang et al. 2016.
- Burkhart 2016. sfn error: no target: CITEREFBurkhart2016 (help)
- Dzogang, Lansdall-Welfare & Cristianini 2016.
- Cliodynamics: The Journal of Quantitative History and Cultural Evolution
- "The University of Hertfordshire's Cliodynamics Lab". Archived from the original on 2015-12-08. Retrieved 2015-11-27.
- Santa Fe Institute
- "History as Science:Journal for theoretical & mathematical history features 5 papers by SFI authors". www.santafe.edu.
- For example, "An Inquiry into History, Big History, and Metahistory". www.santafe.edu.
- Zhao 2006, p. 309–310.
- Lange 2012.
- Tainter 2004, p. 488–489.
- Finley, Klint. 2013. "Mathematicians Predict The Future With Data from the Past." Wired.
- Burkhart, Richard H. 2016. "Applied Mathematics and Political Crises". Siam News.
- Currie, Thomas E.; Mace, Ruth (2009). "Political complexity predicts the spread of ethnolinguistic groups". PNAS. 106 (18): 7339–7344. Bibcode:2009PNAS..106.7339C. doi:10.1073/pnas.0804698106. PMC 2670878. PMID 19380740.
- Dzogang, Fabon; Lansdall-Welfare, Thomas; FindMyPast Newspaper Team; Cristianini, Nello (2016-11-08). "Discovering Periodic Patterns in Historical News". PLOS ONE. 11 (11): e0165736. Bibcode:2016PLoSO..1165736D. doi:10.1371/journal.pone.0165736. ISSN 1932-6203. PMC 5100883. PMID 27824911.
- Dzogang F, Lansdall-Welfare T, Cristianini N (2016). "Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts" (PDF). Proceedings of the 2016 IEEE international conference on data mining workshop (SENTIRE), Barcelona. p. 12–15.
- Finley, Klint. 2013. "Mathematicians Predict The Future With Data from the Past." Wired.
- Goldstone J. 1991. Revolution and Rebellion in the Early Modern World. Berkeley, California: University of California Press.
- Graber, Robert B. (2008). "Review of Andrey Korotayev, Artemy Malkov, and Darkia Khaltourina, Introduction to Social Macrodynamics (Three Volumes)". Journal of Social Evolution and History. 7 (2).
- Greby, James (2016). "'Cliodynamics' Research Proves American Freaks Out Every 50 Years". Inverse.
- Keen, Steven, and Charles Owen. 2017."The Value of Everything: E120. Professor Steve Keen Interview." The Future of Money (segment starts at 47:18)
- 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): e0158391. Bibcode:2016PLoSO..1158391K. doi:10.1371/journal.pone.0158391. PMC 4938595. PMID 27391016.
- Komlos J., Nefedov S. 2002. Compact Macromodel of Pre-Industrial Population Growth. Historical Methods. (35): 92–94.
- Korotayev, Andrey V. (2006). "The World System urbanization dynamics". In Turchin, Peter; Grinin, Leonid Efimovich; Korotayev, Andrey V.; de Munck, Victor C. (eds.). History & mathematics: Historical dynamics and development of complex societies. History & mathematics. Moscow: KomKniga/URSS. p. 44–62. ISBN 978-5-484-01002-8.
- Korotayev, Andrey V.; Malkov, Artemy Sergeevich; Khaltourina, Daria (2006a). Introduction to Social Macrodynamics: Compact Macromodels of the World System Growth. Moscow: URSS. ISBN 978-5-484-00414-0.
- Korotayev, Andrey V.; Malkov, Artemy Sergeevich; Khaltourina, Daria (2006b). Introduction to social macrodynamics: secular cycles and millennial trends. Moscow: URSS. ISBN 978-5-484-00559-8.
- Korotayev, Andrey V.; Khaltourina, Daria (2006). Introduction to Social Macrodynamics: Secular Cycles and Millennial Trends in Africa. Moscow: URSS. ISBN 978-5-484-00560-4. (Excerpts) (Publisher's page)
- Korotayev, A.; Zinkina, J. (2011). "Egyptian Revolution: A Demographic Structural Analysis". Entelequia. Revista Interdisciplinar. 13: 139–169.
- Korotayev A. et al., A Trap At The Escape From The Trap? Demographic-Structural Factors of Political Instability in Modern Africa and West Asia. Cliodynamics 2/2 (2011): 1-28.
- Koyama, Mark (2016). "Review of Ultra Society: how 10,000 years of war made humans the greatest cooperators on earth by Peter Turchin" (PDF). Journal of Bioeconomics. 18 (3): 239–242. doi:10.1007/s10818-016-9234-7. ISSN 1387-6996. S2CID 151743809.
- Lange, Matthew (2012). "Comparative-Historical Methods". London: Sage. Cite journal requires
- Orf, Darren (2013). "Can Math Predict the Rise and Fall of Empires?". Popular Mechanics.
- Parry, Marc. 2013 "Quantitative History Makes a Comeback." The Chronicle of Higher Education.
- Peregrine, Peter N. (2003). "Atlas of Cultural Evolution". World Cultures: Journal of Comparative and Cross-Cultural Research. 14 (1). Archived from the original on 2019-12-15. Retrieved 2016-07-20.
- Schrodt, Philip A. (2005). "Historical Dynamics: Why States Rise and FallHistorical Dynamics: Why States Rise and Fall by Peter Turchin". Contemporary Sociology: A Journal of Reviews. 34 (2): 213–215. doi:10.1177/009430610503400268. ISSN 0094-3061. S2CID 151353020.
- Seabright, Paul (2004). "Book Review: Historical Dynamics: Why States Rise and Fall by Peter Turchin". The Economics of Transition. 12 (4): 801–809. doi:10.1111/j.0967-0750.2004.00203.x. ISSN 0967-0750.
- Spinney, Laura. 2012 "Human cycles: History as Science." Nature.
- Spinney, Laura. 2016. "The database that is rewriting history to predict the future." New Scientist.
- Sussan, Remi. 2013. "Au coeur de la cliodynamique (1/2): les cycles historiques". Internet Actu.
- Tainter, Joseph A. (2004). "Plotting the downfall of society: Review of Historical Dynamics: Why States Rise and Fall by Peter Turchin" (PDF). Nature. 427 (6974): 488–489. doi:10.1038/427488a.
- 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.
- 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" (PDF). Journal of Global History. 4 (2): 191–217. doi:10.1017/s174002280900312x. S2CID 73597670.
- Turchin, P. (2011). "Warfare and the Evolution of Social Complexity: A Multilevel-Selection Approach". Structure and Dynamics. 4 (3): 1–37.
- Turchin P. 2006. Population Dynamics and Internal Warfare: A Reconsideration. Social Evolution & History 5(2): 112–147 (with Andrey Korotayev).
- Turchin, Peter; Grinin, Leonid Efimovich; Korotayev, Andrey V.; de Munck, Victor C., eds. (2006). History & mathematics: Historical dynamics and development of complex societies. History & mathematics. Moscow: KomKniga/URSS. ISBN 978-5-484-01002-8. (on Google Books)
- Turchin, Peter (2008). "Arise 'cliodynamics'". Nature. 454 (7200): 34–35. Bibcode:2008Natur.454...34T. doi:10.1038/454034a. ISSN 0028-0836. PMID 18596791. S2CID 822431.
- Turchin P., Nefedov S. 2009. Secular Cycles. Princeton, NJ: Princeton University Press.
- Turchin, Peter; Brennan, Rob; Currie, Thomas E.; Feeney, Kevin C.; Francois, Pieter; Hoyer, Daniel; Manning, Joseph G.; Marciniak, Arkadiusz; Mullins, Daniel; Palmisano, Alessio; Peregrine, Peter; Turner, Edward A. L.; Whitehouse, Harvey (2015). "Seshat: The Global History Databank". Cliodynamics: The Journal of Quantitative History and Cultural Evolution. 6 (1): 77–107. doi:10.21237/c7clio6127917. ISSN 2373-7530.
- Turchin, Peter (2015). Ultrasociety: How 10,000 Years of War Made Humans the Greatest Cooperators on Earth. Beresta Books. ISBN 978-0996139519.
- Zeigler, Donald (2010). "Book Review: Secular Cycles by Peter Turchin, Sergey A. Nefedov". International Social Science Review. 85 (3/4): 165–166. JSTOR 41887467.
- Zhao, Dingxin (2006). "Historical Dynamics: Why States Rise and Fall. By Peter Turchin". American Journal of Sociology. 112 (1): 308–310. doi:10.1086/507802. ISSN 0002-9602.
- Wood, Graeme (December 2020). "The Next Decade Could Be Even Worse". The Atlantic. Retrieved 12 November 2020.
|Library resources about |
- Cliodynamics: The Journal of Quantitative History and Cultural Evolution
- Seshat: Global History Databank
- Peter Turchin's Cliodynamics Page
- Historical Dynamics in a time of Crisis: Late Byzantium, 1204-1453 (a discussion of some concepts of cliodynamics from the point of view of medieval studies)
- "Nature" article (August 2012): Human cycles: History as science
- Evolution Institute