PPT-THE CENTRALITY OF VALUING

Author : natalia-silvester | Published Date : 2016-08-07

PHILIP KITCHER MELIORATIVE PROJECTS AT THE HEART OF DEWEYS PRAGMATISM IS THE CONVICTION THAT INQUIRY IS DIRECTED TOWARD MAKING THINGS BETTER TO UNDERSTAND THAT GOAL

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THE CENTRALITY OF VALUING: Transcript

PHILIP KITCHER MELIORATIVE PROJECTS AT THE HEART OF DEWEYS PRAGMATISM IS THE CONVICTION THAT INQUIRY IS DIRECTED TOWARD MAKING THINGS BETTER TO UNDERSTAND THAT GOAL WE NEED AN ACCOUNT OF VALUES. Titus 2:3-5. Valuing Women. Does not Diminish because of AGE – older women training younger women (Titus 2:4). Manifesting. demeanor befitting of godliness and holiness (cf. I Tim. 2:9-10). Valuing Women. in . Networks. Michael Ovelg. önne. UMIACS. University of Maryland. mov@umiacs.umd.edu. 1. Chanhyun Kang, Anshul Sawant. Computer Science Dept.. University of Maryland. {chanhyun, asawant}@cs.umd.edu. 7. Centrality (. cont. ). Slides modified from . Lada. . Adamic. and . Dragomir. . Radev. Outline. Degree centrality. Centralization . Betweenness. centrality. Closeness centrality. Eigenvector centrality. . Negahban. . Sewoong. Oh Devavrat Shah. Yale + UIUC + MIT. Rank centrality: . Ranking from comparisons. Some scenarios. Given partial preferences. Compute . global. . ranking . with . scores to reflect . Devavrat Shah. LIDS+CSAIL+EECS+ORC. Massachusetts Institute of Technology. Network centrality. It’s a graph score function . Given graph G=(V, E). Assigns “scores” to nodes in the graph. That is, . Edith Cohen. Joint with: . Thomas . Pajor. , . Daniel . Delling. , Renato . Werneck. Microsoft Research . Very Large Graphs. Model many types of relations and interactions (edges) between entities (nodes). Edith Cohen. Joint with: . Thomas . Pajor. , . Daniel . Delling. , Renato . Werneck. Very Large Graphs. Model relations and interactions (edges) between entities (nodes). Call . detail, . email exchanges, . Jindra Cekan, PhD. Valuing Voices at CEKAN CONSULTING LLC . 2014. Simple idea. Measure the sustainable impact of development projects . AFTER. they are completed. (2-10 years out). Ask communities what worked. The “Centralities”. Degree Centrality . 2. The “Centralities”. Quality:. what makes a node important (central). Mathematical. Description. Appropriate Usage. Identification. Lots of one-hop. Some pages are adapted. from Dan Ryan, . Mills College. B. etweenness. Centrality. I. ntuition. : how many pairs of individuals would have to go through you in order to reach one another in the minimum number of hops. ). Slides modified from . Lada. . Adamic. and . Dragomir. . Radev. Outline. Degree centrality. Centralization . Betweenness. centrality. Closeness centrality. Eigenvector centrality. Bonacich. power centrality. Quality:. what makes a node important (central). Mathematical. Description. Appropriate Usage. Identification. Lots of one-hop. connections from . The number of vertices that . influences directly. Lecture 1. Corporate Financial Theory. Introductions. Faculty. Students. Syllabus & Website. Tests. Homework (CONNECT). Supplements. Course Goals. Put meanings to words. Transform . the complex . Excerpt from draft SAB Committee report and ServicesRevealed-preference methods exploit the ng a lake or buying a house and associated environmental attributes eg of the lake or the house to esincludi

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