Английская Википедия:Aggregative Contingent Estimation Program
Шаблон:Short description Aggregative Contingent Estimation (ACE) was a program of the Office of Incisive Analysis (OIA) at the Intelligence Advanced Research Projects Activity (IARPA).[1][2] The program ran from June 2010 until June 2015.[3]
History
The broad program announcement for ACE was published on June 30, 2010.[4] ACE funded the Aggregative Contingent Estimation System (ACES) website and interface on July 15, 2011.[5] They funded The Good Judgment Project some time around July 2011.[6] ACE has been covered in The Washington Post''[7] and Wired Magazine.[8] The program was concluded by late 2015.[9] The program manager was future IARPA director Jason Gaverick Matheny.[10]
Goals and methods
The official website says that the goals of ACE are "to dramatically enhance the accuracy, precision, and timeliness of intelligence forecasts for a broad range of event types, through the development of advanced techniques that elicit, weight, and combine the judgments of many intelligence analysts."[1] The website claims that ACE seeks technical innovations in the following areas:[1]
- efficient elicitation of probabilistic judgments, including conditional probabilities for contingent events
- mathematical aggregation of judgments by many individuals, based on factors that may include: past performance, expertise, cognitive style, metaknowledge, and other attributes predictive of accuracy
- effective representation of aggregated probabilistic forecasts and their distributions.
There is a fair amount of research funded by grants made by the IARPA ACE program.[11]
Partners
The ACE has collaborated with partners who compete in its forecasting tournaments. Their most notable partner is The Good Judgment Project from Philip E. Tetlock et al.[12] (winner of a 2013 ACE tournament)[7] ACE also partnered with the ARA to create the Aggregative Contingent Estimation System (ACES).[5]
Data from ACE is fed into another program, called Forecasting Science and Technology (ForeST), which partners with SciCast from George Mason University.[13]
References
External links
