the rate of diffusion (spread of “new mentions”), and the potential impact (breadth and depth of mentions—how many cultures, disciplines, and languages?).
Once a potential disruptive technology has been identified, key decision makers will want an assessment of the likelihood of the disruption, its probable impact, factors that could accelerate the disruption, and factors that could inhibit it. Further, they will also want to know key interdependencies or fragilities in the set of events that could lead to a disruption. This information should provide the decision makers with the information that they require to allocate resources that will shape the impact of the disruption when it does occur. Further, decision makers will need to be periodically updated on the status of potential disruptions. Therefore, operators of the persistent forecasting system should create a disruptive technology assessment report for each new potential disruption identified, in addition to regular updates.
Anders, George. 2008. Predictions of the past. The Wall Street Journal. January 28. Available at http://online.wsj.com/article/SB120119993114813999.html. Accessed April 8, 2009.
Blainey, Geoffrey. 2002. A Short History of the World. Chicago, Ill.: Ivan R. Dee, Publisher.
Enis, C.R. 2005. Expert-novice judgments and new cue sets: Process versus outcome. Journal of Economic Psychology 16(4): 641-662.
Faber, Malte, Reiner Manstetten, and John Proops. 1992. Toward an open future: Ignorance, novelty, and evolution. Pp. 72-96 in Ecosystem Health: New Goals for Environmental Management, Costanza, Robert, Bryan G. Norton, and Benjamin D. Haskell, eds. Washington, D.C.: Island Press.
Greenfield, P.M. 1997. Culture as process: Empirical methodology for cultural psychology. In Handbook of Cross-Cultural Psychology, J.W. Berry, Y.H. Poortinga, and J. Pandey, eds., Boston, Mass.: Allyn and Bacon.
Günther, Isolda de Araujo. 1998. Contacting subjects: The untold story. Culture and Psychology 4(1): 65-74.
Gupta, Hari M., Jose R. Campanha, and Rosana A.G. Pesce. 2005. Power-law distributions for the citation index of scientific publications and scientists. Brazilian Journal of Physics 35(4A): 981-986.
Johnston, Rob. 2003. Reducing analytic error: Integrating methodologists into teams of substantive experts. Studies in Intelligence 47(1): 57-65. Available at https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/csi-studies/studies/vol47no1/article06.html. Last accessed May 8, 2009.
Jonas, Jeff. 2006. Enterprise intelligence: Conference proceedings from TTI/Vanguard. Available at http://jeffjonas.typepad. com/jeff_jonas/2007/03/enterprise_inte.html. Last accessed October 23, 2008.
Kennedy, John F. 1961. Special message to the Congress on urgent national needs. John F. Kennedy Presidential Library and Museum. Available at http://www.jfklibrary.org/Historical+Resources/Archives/Reference+Desk/Speeches/JFK/003POF03NationalNeeds05251961.htm. Last accessed on August 10, 2009.
Kuechler, M. 1998. The survey method: An indispensable tool for social science research everywhere? American Behavioral Scientist 42(2): 178-200.
Mandelbrot, B. 1963. The variation of certain speculative prices. Journal of Business 36: 394-419.
Önkal, D., J.F. Yates, C. Simga-Mugan, and S. Öztin. 2003. Professional vs. amateur judgment accuracy: The case of foreign exchange rates. Organizational Behavior and Human Decision Processes 91: 169-185.
Pareek, U., and T.V. Rao. 1980. Cross-cultural surveys and interviewing. In Handbook of Cross-Cultural Psychology, vol 2, H.C. Triandis and J.W. Berry, eds. Boston, Mass.: Allyn & Bacon.
Pool, Robert. 1997. Beyond Engineering: How Society Shapes Technology. New York: Oxford University Press.
Schwartz, Peter. 1991. The Art of the Long View. New York: Currency Doubleday.
Servan-Schreiber, Emile, Justin Wolfers, David M. Pennock, and Brian Galebach. 2004. Prediction markets: Does money matter? Electronic Markets 14(3): 243-251.
Shirkyon, Clay. 2008. Gin, television, and social surplus. Available at http://www.herecomeseverybody.org/2008/04/looking-for-the-mouse.html. Last accessed October 24, 2008.