We conclude with policy recommendations drawn from the insights of this study.
In addition to receiving 8000 online submissions from hopefuls across Europe, Forbes' skilled reporters combed the region for leading innovators in all ten categories, and also drew from the insights of its wide-reaching community.
Perhaps, though, we could draw from the insights regarding the characterization sense of identity in responding to these particular problems, and then construct an account of ownership relevant to responsibility that is utterly divorced from considerations of numerical identity (and insofar as narrative identity depends on numerical identity, it would not be an eligible contender here).
Rico's gender analysis draws heavily from the insights of R. W. Connell, and her theorization of gender enlivens discussions of stories and characters that are, in some cases, quite familiar.
Drawing from insights from the governance of extractive and potentially other industries, CCSI will test strategic and more demand-driven approaches to transparency of land-based investments (such as agriculture and forestry projects), focusing on the entire investment lifecycle, including different stages of land transactions.
The book Strategy Rules: Five Timeless Lessons From Bill Gates, Andy Grove, and Steve Jobs (HarperCollins, 2015) explores insights drawn from the careers of these former CEOs of Microsoft, Intel, and Apple.
Many of these insights are drawn from the world of market research, not political campaigns, and they're fast becoming fairly common knowledge.
The insight is also drawn from the perspective of a mythical global commoner who faces globally averaged impacts, and values ecosystems using valuation techniques such as 'willingness to pay' that have known flaws (Diamond and Hausman 1994; Fischoff 1991).
This book shares insights drawn from the diverse voices of public school teachers, community outreach education workers, professors, writers, poets, artists, and musicians on suffering in school and the classroom.
Learning in Graphical Models is the product of a mutually exciting interaction between ideas, insights, and techniques drawn from the fields of statistics, computer science, and physics.
