Historical dynamics

Historical dynamics broadly includes the scientific modeling of history. This might also be termed computer modeling of history, historical simulation, or simulation of history - allowing for an extensive range of techniques in simulation and estimation. Historical dynamics does not exist as a separate science, but there are individual efforts such as long range planning, population modeling, economic forecasting, demographics, global modeling, country modeling, regional planning, urban planning and many others in the general categories of computer modeling, planning, forecasting, and simulations. Historical dynamics broadly includes the scientific modeling of history. This might also be termed computer modeling of history, historical simulation, or simulation of history - allowing for an extensive range of techniques in simulation and estimation. Historical dynamics does not exist as a separate science, but there are individual efforts such as long range planning, population modeling, economic forecasting, demographics, global modeling, country modeling, regional planning, urban planning and many others in the general categories of computer modeling, planning, forecasting, and simulations. Some examples of 'large' history where historical dynamics simulations would be helpful include; global history, large structures, histories of empires, long duration history, philosophy of history, Eurasian history, comparative history, long-range environmental history, world systems theory, non-Western political and economic development, and historical demography. With the rise of technologies like wikis, and internet-wide search engines, some historical and social data can be mined to constrain models of history and society. Data from social media sites, and busy sites, can be mined for human patterns of action. These can provide more and more realistic behavioral models for individuals and groups of any size. Agent-based models and microsimulations of human behavior can be embedded in larger historical simulations. Related subfields are behavioral economics and human behavioral ecology. In every sector of human activity, there are extensive databases for transportation data, urban development, health statistics, education data, social data, economic data—along with many projections. See Category:economic databases, Category:statistical data sets, Category:social statistics data, Category:social statistics and Category:statistics. Some examples of database activity include Asian Development Bank statistics, World Bank data, and the International Monetary Fund data. Time series analysis and econometrics are well established fields for the analysis of trends and forecasting; but, survey data and microdatasets can also be used in forecasts and simulations. The United Nations and other organizations routinely project the population of individual countries and regions of the world decades into the future. These demographic models are used by other organizations for projecting demand for services in all sectors of each economy. Each country often has their corresponding modeling groups for each of these major sectors. These can be grouped in separate articles according to sector. Groups include government departments, international aid agencies, as well as nonprofit and non-governmental organizations. A broad class of models used for economic and social modeling of countries and sectors are the Computable general equilibrium (CGE) model - also called applied general equilibrium models. In the context of time based simulations and policy analysis, see dynamic stochastic general equilibrium models.