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Events for May

  • Healthcare Processes: From Art to Science

    Thu, May 06, 2010 @ 03:30 PM - 05:00 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

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    DANIEL J. EPSTEIN DEPARTMENT OF INDUSTRIAL & SYSTEMS ENGINEERING SEMINARTitle: "Healthcare Processes: From Art to Science"Speaker: Maria D. Lee, PhD, MBA - Director, Healthcare Performance Improvement, Kaiser PermanenteABSTRACT: The Healthcare Industry in the United States is undergoing a transformation parallel to the one experienced by the US Agricultural Industry in the early 1900s or the Aviation Industry in the late 1900s. From being grossly inefficient and costly, these industries became very efficient and affordable through a major infrastructure and systems overhaul. In this seminar we will be discussing the practical aspects of driving change in Healthcare from a disorganized, intuition-managed system to a metrics-managed system that is focused on quality, efficiency and affordability.THURSDAY, MAY 6, 2010, GERONTOLOGY BUILDING (GER) ROOM 309, 3:30 - 5:00 PM

    Location: Ethel Percy Andrus Gerontology Center (GER) - 309

    Audiences: Everyone Is Invited

    Contact: Georgia Lum

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  • Inequality and Network Structure

    Fri, May 28, 2010 @ 10:30 AM - 11:30 AM

    Daniel J. Epstein Department of Industrial and Systems Engineering

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    DANIEL J. EPSTEIN DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING SEMINARTitle: "Inequality and Network Structure"Speaker: Professor Garud Iyengar, Department of Industrial Engineering and Operation Research Columbia UniversityAbstract: In this talk we will explore the manner in which the structure of a social network constrains the level of inequality that can be sustained in the network. We assume that any distribution of value across the network must be stable with respect to coalitional deviations, and that a set of players (nodes) form a deviating coalition only if the set is a clique in the network.We characterize the set of extreme income distributions when only cliques of size 2 or 3 are allowed to deviate. We obtain a complete ordering for networks where only edges are allowed to deviate and show that networks with larger maximum independent sets can sustain greater levels of inequality. We show that such networks have a unique stable payoff distribution that is maximally unequal in that it does not Lorenz dominate any other stable distribution. The intuition behind this result is that networks with larger maximum independent sets are more sparse and hence offer fewer opportunities for coalition formation. We also demonstrate that standard centrality measures do not consistently predict inequality.Date: May 28, 2010Time: 10:30-11:30 AMRoom: GER 309BIO: Garud Iyengar received a B. Tech. in Electrical Engg. from IIT Kanpur in 1993 and a Ph.D. in Electrical Engineering from Stanford University in 1998. Since then he has been with the Department of Industrial Engineering and Operation Research Department at Columbia University where he is currently an Associate Professor.

    Location: Ethel Percy Andrus Gerontology Center (GER) - 309

    Audiences: Everyone Is Invited

    Contact: Georgia Lum

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