Backcasting

From Wikipedia, the free encyclopedia
Jump to: navigation, search

Backcasting is a planning method that starts with defining a desirable future and then works backwards to identify policies and programs that will connect that specified future to the present.[1] The fundamentals of the method were outlined by John B. Robinson from the University of Waterloo in 1990.[2] The fundamental question of backcasting asks: "if we want to attain a certain goal, what actions must be taken to get there?"[3][4] Forecasting is the process of predicting the future based on current trend analysis. Backcasting approaches the challenge of discussing the future from the opposite direction.[5]

a method in which the future desired conditions are envisioned and steps are then defined to attain those conditions, rather than taking steps that are merely a continuation of present methods extrapolated into the future

In statistics and data analysis, backcasting can be considered the opposite of forecasting. Whereas forecasting is predicting the future (unknown) values of the dependent variables based on known values of the independent variable, backcasting can be considered the prediction of the unknown values of the independent variables that might have existed to explain the known values of the dependent variable.[6]

Backcasting vs. Forecasting[edit]

Temporal representation of backcasting.[7]

Backcasting — a term first coined by John Robinson in 1982[8] — involves establishing the description of a very definite and very specific future situation. It then involves an imaginary moving backwards in time, step-by-step, in as many stages as are considered necessary, from the future to the present to reveal the mechanism through which that particular specified future could be attained from the present.[9]

Backcasting is not concerned with predicting the future:

The major distinguishing characteristic of backcasting analyses is the concern, not with likely energy futures, but with how desirable futures can be attained. It is thus explicitly normative, involving "working backwards" from a particular future end-point to the present to determine what policy measures would be required to reach that future.[10]

According to Jansen (1994, p. 503):

Within the framework of technological development, “forecasting” concerns the extrapolation of developments towards the future and the exploration of achievements that can be realized through technology in the long term. Conversely, the reasoning behind “backcasting” is: on the basis of an interconnecting picture of demands technology must meet in the future — “sustainability criteria” — to direct and determine the process that technology development must take and possibly also the pace at which this development process must take effect.
Backcasting [is] both an important aid in determining the direction technology development must take and in specifying the targets to be set for this purpose. As such, backcasting is an ideal search toward determining the nature and scope of the technological challenge posed by sustainable development, and it can thus serve to direct the search process toward new — sustainable — technology.

Practical applications[edit]

Backcasting is increasingly used in urban planning and resource management of water and energy. It was used by Peter Gleick and colleagues at the Pacific Institute in a 1995 study on California water policy, as an alternative to traditional California water planning approaches.[11] In 2006, the Capital Regional District Water Services, which services the greater Victoria area in British Columbia, Canada, committed to backcasting to the year 2050 as a formal element of all future strategic water planning initiatives.[12]

Backcasting is a key component of the soft energy path, a concept developed by Amory Lovins after the shock of the 1973 energy crisis in the United States.[13]

Backcasting from Sustainability Principles, or System conditions of sustainability is a key concept of the 'Framework for Strategic Sustainable Development' pioneered by Karl-Henrik Robèrt, founder of The Natural Step, an international nonprofit organization dedicated to applied research for sustainability, in cooperation with a global academic Alliance for Strategic Sustainable Development which links universities which cooperate with businesses, and other NGOs. It has been refined and tested by peer-review and application within businesses (widely known examples are: Interface, Nike, Whistler).

Backcasting is used in climate reconstruction or cosmology to determine the conditions (i.e., values of unknown independent variables) that existed in the distant past based on known (more accurately estimated) values of past dependent variables.[6]

Research groups that use backcasting[edit]

Footnotes[edit]

  1. ^ Page 12. The Soft Path for Water in a Nutshell (2005). Oliver M Brandes and David B. Brooks. A joint publication of Friends of the Earth Canada and the POLIS Project on Ecological Governance. University of Victoria, Victoria BC.
  2. ^ Robinson, John B. 1990. Futures under glass: a recipe for people who hate to predict Futures, vol. 22, issue 8, pp. 820–842.
  3. ^ Tinker, J. 1996. From 'Introduction' ix-xv. Life in 2030: Exploring a Sustainable Future for Canada, edited by J.B. Robinson et al. Vancouver: University of British Columbia Press.
  4. ^ Page 5. Environmental Change and Challenge : A Canadian Perspective by Philip Dearden, Bruce Mitchell. ISBN 0-19-541014-9 / 9780195410143 / 0-19-541014-9. Oxford University Press.
  5. ^ Holmberg, J. & Robèrt, K.H. 2000. Backcasting from non-overlapping sustainability principles: a framework for strategic planning. International Journal of Sustainable Development and World Ecology, 74, 291–308.
  6. ^ a b Stan Development Team (2014-07-20). Stan Modeling Language: User's Guide and Reference Manual. pg. 39: Stan. 
  7. ^ Taken from Yeates, 2004, p.147.
  8. ^ See Robinson (1982, 1988, 2003).
  9. ^ Robinson's backcasting approach is very similar to the anticipatory scenarios of Ducot and Lubben (1980), and Bunn and Salo (1993).
  10. ^ Derborg (1996), p.814.
  11. ^ Gleick, P.H., P. Loh, S.V. Gomez, J. Morrison. 1995. California Water 2020: A Sustainable Vision. Pacific Institute, Oakland, California (May 1995)
  12. ^ http://www.crd.bc.ca/minutes/wateradvisorycommitt_/2006_/dec12/dec12.pdf
  13. ^ "Energy Strategy: The Road Not Taken?" published in Foreign Affairs, in October 1976

References[edit]

  • Bunn, D.W. & Salo, A.A., "Forecasting with scenarios", European Journal of Operational Research, Vol.68, No.3, (13 August 1993), pp.291-303.
  • Dreborg, K.H., "Essence of Backcasting", Futures, Vol.28, No.9, (November 1996), pp.813-828.
  • Ducot, C. & Lubben, G.J., "A Typology for Scenarios", Futures, Vol.11, No.1, (February 1980), pp.51-57.
  • Jansen, L., "Towards a Sustainable Future, en route with Technology", pp.496-525 in Dutch Committee for Long-Term Environmental Policy (ed.), The Environment: Towards a Sustainable Future (Environment & Policy, Volume 1), Kluwer Academic Publishers, (Dortrecht), 1994.
  • Robinson, J.B., "Energy Backcasting: A Proposed Method of Policy Analysis", Energy Policy, Vol.10, No.4 (December 1982), pp.337-345.
  • Robinson, J.B., "Unlearning and Backcasting: Rethinking Some of the Questions We Ask About the Future", Technological Forecasting and Social Change, Vol.33, No.4, (July 1988), pp.325-338.
  • Robinson, J., "Future Subjunctive: Backcasting as Social Learning", Futures, Vol.35, No.8, (October 2003), pp.839-856.
  • Yeates, L.B., Thought Experimentation: A Cognitive Approach, Graduate Diploma in Arts (By Research) dissertation, University of New South Wales, 2004.

External links[edit]