Policy - IFs

Note: The documentation of IFs is 'under review' and is not yet 'published'!

Model Documentation - IFs
Model scope and methods - IFs Model concept, solver and details - IFs Temporal dimension - IFs Spatial dimension - IFs Policy - IFs Socio-economic drivers - IFs Population - IFs Economic activity - IFs Macro-economy - IFs Energy - IFs Energy resource endowments - IFs Fossil energy resources - IFs Uranium and other fissile resources - IFs Bioenergy - IFs Non-biomass renewables - IFs Energy conversion - IFs Electricity - IFs Heat - IFs Gaseous fuels - IFs Liquid fuels - IFs Solid fuels - IFs Grid, pipelines and other infrastructure - IFs Energy end-use - IFs Transport - IFs Residential and commercial sectors - IFs Industrial sector - IFs Other end-use - IFs Energy demand - IFs Technological change in energy - IFs Land-use - IFs Agriculture - IFs Emissions - IFs GHGs - IFs Pollutants and non-GHG forcing agents - IFs Carbon dioxide removal (CDR) options - IFs Climate - IFs Non-climate sustainability dimension - IFs Water - IFs Other materials - IFs References - IFs
Corresponding documentation
AIM-Hub BLUES C3IAM DNE21+ GCAM GEM-E3 GRACE IFs IMACLIM IMAGE MESSAGE-GLOBIOM POLES PROMETHEUS REMIND-MAgPIE TIAM-UCL WITCH
Previous versions
Archive of IFs version 7.36
Model information
Model link	https://pardee.du.edu/access-ifs
Institution	Frederick S. Pardee Center for International Futures, University of Denver (Pardee Center), Colorado, USA, https://pardee.du.edu/.
Solution concept
Solution method	Dynamic recursive with annual time steps through 2100.
Anticipation	Myopic

All model parameters and initial conditions are accessible via the interlace and therefore changeable by users. Example areas where policy interventions can be introduced into the model are<\br> • Demographics: fertility, mortality (in more detail via the health model), and migration—all of which affect population growth and level.
• Economics: on the production side are investment, labor force participation, and productivity (via assumptions about systemic advance, convergence rate, and a wide range of specific endogenous drivers); interventions are also possible on savings levels and consumption patterns and on patterns of trade.
• Education: enrollment, continuation, and completion/transition rates; spending levels.
• Health: mortality and morbidity rates across 15 different causes.
• Socio-Political Change: government revenue and expenditure patterns from multiple sources and to multiple targets; corruption and democracy levels; status of women; value change.
• Geopolitics: Country and regional power levels.
• Food and Agriculture: Land use and yield/production levels; trade patterns—all of which affect calorie availability and malnutrition rates.
• Energy: Resource and production level by energy type including renewable energy share, demand level and patterns.
• Infrastructure: investment and access extension by type (road, water, sanitation, electricity, ICT).
• Environment: atmospheric carbon dioxide levels via interventions in models noted above (e.g. land use, carbon intensity of energy); water demand by final use and water supply by source.
Prepackaged scenario intervention files also allow integrated analysis of scenario sets including the UNEP GEO-4 set and the Shared Socioeconomic Pathway (SSP) set.