Martin Luther King, Jr drew upon his early grounding in family and church to forge a praxis of egalitarian justice in the rigidly segregated American South of his youth. King?s ethical outlook was eclectic, reflecting the influence of such figures as Mays, Davis, Rauschenbusch, Niebuhr, Thurman and Gandhi, alongside such doctrines as personalism and liberalism, nationalism and realism. Yet King?s subsequent academic study more nearly enhanced than restructured his early, formative exposure to black church and community. King became committed to (...) nonviolence, not as passive resistance, but as an active, aggressive, individual and self?improving solution to problems of gross injustice in society. Nonviolence for King was not an end, but a means, to the achievement of what he called ?Beloved Community? (shrink)

A crisis continues to brew within the pharmaceutical research and development (R&D) enterprise: productivity continues declining as costs rise, despite ongoing, often dramatic scientific and technical advances. To reverse this trend, we offer various suggestions for both the expansion and broader adoption of modeling and simulation (M&S) methods. We suggest strategies and scenarios intended to enable new M&S use cases that directly engage R&D knowledge generation and build actionable mechanistic insight, thereby opening the door to enhanced productivity. What M&S requirements (...) must be satisfied to access and open the door, and begin reversing the productivity decline? Can current methods and tools fulfill the requirements, or are new methods necessary? We draw on the relevant, recent literature to provide and explore answers. In so doing, we identify essential, key roles for agent-based and other methods. We assemble a list of requirements necessary for M&S to meet the diverse needs distilled from a collection of research, review, and opinion articles. We argue that to realize its full potential, M&S should be actualized within a larger information technology framework—a dynamic knowledge repository—wherein models of various types execute, evolve, and increase in accuracy over time. We offer some details of the issues that must be addressed for such a repository to accrue the capabilities needed to reverse the productivity decline. (shrink)