The ability to forecast natural and
global events is required by CIA and NSA analysts as well as several dozen
government institutions to help in creating awareness of various threats to the
country. However, most of the old-style approaches used for this purpose tends
to produce flawed results. As such, in
order for quality to be improved, the United States government has appealed to
people outside the intelligence community by running tournaments. Though this
is a rather unusual step, a number of different ways have been developed to
forecast world events and several notable results have been taken into account.
One method of forecasting is
deliberation though it is useful, it is not necessarily ideal for forecast
guarantees due to its susceptibility to groupthink. Social biases also tend to
intrude on the process as deferments are conducted based on seniority. Thus,
dissenting views are normally not captured which has led analysts to predict or
miss events that did not take place.
Equally important, other methods that
have been run by Intelligence Advanced Research Projects Activity include ACE
or Aggregative Contingent Estimation, ForeST (Forecasting Science and
Technology) and Open Source Indicators (OSI).
These methods each seek to improve intelligence forecasts through
precision and timeliness through the use of techniques such as crowdsourcing,
probability and machine learning. As a result, weaknesses are offset of any
single source while human tendencies are overcome to overestimate as well as
underestimate an event’s probability.