Mechanistic models in computational social science

Quantitative social science is not only about regression analysis or, in general, data inference. Computer simulations of social mechanisms have an over 60 years long history. They have been used for many different purposes—to test scenarios, to test the consistency of descriptive theories (proof-of...

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Main Authors: Petter eHolme, Fredrik eLiljeros
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-09-01
Series:Frontiers in Physics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fphy.2015.00078/full
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author Petter eHolme
Fredrik eLiljeros
author_facet Petter eHolme
Fredrik eLiljeros
author_sort Petter eHolme
collection DOAJ
description Quantitative social science is not only about regression analysis or, in general, data inference. Computer simulations of social mechanisms have an over 60 years long history. They have been used for many different purposes—to test scenarios, to test the consistency of descriptive theories (proof-of-concept models), to explore emergent phenomena, for forecasting, etc. In this essay, we sketch these historical developments, the role of mechanistic models in the social sciences and the influences from the natural and formal sciences. We argue that mechanistic computational models form a natural common ground for social and natural sciences, and look forward to possible future information flow across the social-natural divide.
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spelling doaj.art-409a3579914c4c2587a8401d06976f722022-12-22T03:31:30ZengFrontiers Media S.A.Frontiers in Physics2296-424X2015-09-01310.3389/fphy.2015.00078159154Mechanistic models in computational social sciencePetter eHolme0Fredrik eLiljeros1Sungkyunkwan UniversityStockholm UniversityQuantitative social science is not only about regression analysis or, in general, data inference. Computer simulations of social mechanisms have an over 60 years long history. They have been used for many different purposes—to test scenarios, to test the consistency of descriptive theories (proof-of-concept models), to explore emergent phenomena, for forecasting, etc. In this essay, we sketch these historical developments, the role of mechanistic models in the social sciences and the influences from the natural and formal sciences. We argue that mechanistic computational models form a natural common ground for social and natural sciences, and look forward to possible future information flow across the social-natural divide.http://journal.frontiersin.org/Journal/10.3389/fphy.2015.00078/fullcomplex systemssimulationmechanistic modelscomputational social scienceInterdisciplinary science
spellingShingle Petter eHolme
Fredrik eLiljeros
Mechanistic models in computational social science
Frontiers in Physics
complex systems
simulation
mechanistic models
computational social science
Interdisciplinary science
title Mechanistic models in computational social science
title_full Mechanistic models in computational social science
title_fullStr Mechanistic models in computational social science
title_full_unstemmed Mechanistic models in computational social science
title_short Mechanistic models in computational social science
title_sort mechanistic models in computational social science
topic complex systems
simulation
mechanistic models
computational social science
Interdisciplinary science
url http://journal.frontiersin.org/Journal/10.3389/fphy.2015.00078/full
work_keys_str_mv AT pettereholme mechanisticmodelsincomputationalsocialscience
AT fredrikeliljeros mechanisticmodelsincomputationalsocialscience