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As with other fields such as medicine, after years of massive costs and sometimes ineffective methods, resulting in catastrophic failures such as 9/11, new leadership at our intelligence agencies such as Director of National Intelligence James R. Clapper are adopting digital and social science methods such as crowd sourcing, data science, knowledge management. Social scientists have found that combining many people’s predictions — even if they are not experts — usually yields better results than any single person’s judgment. With 200,000 people in its direct employ, and nearly 1 million outsiders holding security clearances, the US intelligence network would seem to be a perfect place to take advantage of the wisdom of the herd — except that so many of these people work in compartmentalized and secretive units. To solve this problem, IARPA is awarding grants to teams of social scientists to craft the best approaches to pooling multiple sources of intelligence analysis, generating more accurate predictions than individual departments might manage on their own.
The examined spy – Boston.com.
This guy is an expert on the use of knowledge management approaches and anthropological data (human terrain) in military systems.
Jay Liebowitz, DSc (Systems Analysis and Management, George Washington University) joined the Johns Hopkins Carey Business School in 2003. He is a Professor of Practice with expertise in the areas of knowledge management, expert and intelligent systems, and competitive intelligence.
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Knowledge Center | New Hope 360 – content about Knowledge Center.
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