How to best incentivize the main "Research" focus - http://worlduniversity.wikia.com/wiki/Research - and in all 7106+ languages and 240 + countries at MIT OCW centric WUaS? See - http://worlduniversityandschool.org/ - for WUaS's approximately 12 main foci.
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Just added Stanford Economics' Professor Nicholas A. Bloom resources,
such as
Lee, Louise. 2014. Nicholas Bloom: Innovation Requires Delegating Authority - An economics scholar examines ways firms create flexible structures and why some do not. August 18. Stanford, CA: gsb.stanford.edu/insights/nicholas-bloom-innovation-requires-delegating-authority .
to
Economics
Business Management (yay, Sloan School of Management at MIT OCW here)
Innovation
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Per Bloom's work, how hierarchically and how flat an organization might WUaS be in each language in terms of delegation and incentivization?
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And WUaS seeks to model the development of its various online accrediting universities on unprogrammed Quaker Meetings' distributed monthly meeting process ... worldwide ... so not very hierarchical at all, yet also where clerks of these WUaS meetings play a facilitating role, including in incentivization for research.
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How do MIT and Harvard incentivize research in comparison, say, with Cambridge and Oxford, and further in comparison with National Tsinghua University China / 清华大学 and Shanghai Jiao Tong University / 上海交通大学 , and then in comparison, too, with Stanford and Berkeley?
Examples of greatest universities (attracting highest academic achievers) from western Europe, for similar approaches to incentivizing research, for example?
And other universities here at WUaS's wiki list of great universities - http://worlduniversity.wikia.com/wiki/Courses#University_course_listings ?
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And drawing from http://academia.edu/ and https://www.researchgate.net/ and http://scholar.google.com/, for example, among many other social networking academic research web sites, how best to incentivize WUaS's main "Research" focus?
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How could WUaS facilitate inter-lingual research innovatively with artificial learning and machine learning to incentivize research?
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