Resume

• 2008

  Center for Public Health Practice

  University of Pittsburgh Graduate School of Public Health

  Professor

  My teaching and research interests include public policy

  organizational theory

  network analysis

  complex systems and decision making under conditions of uncertainty. I have focused on rapidly changing response systems following disaster.

  University of Pittsburgh

• 1986

  American Society of Public Administration

  American Society of Public Administration

  Political Science

  Ph.D.

• 1984

  University of Pittsburgh

  I teach public policy

  organizational theory

  and policy design and implementation. I direct the Interactive

  Intelligent

  Spatial Information Systems (IISIS) Laboratory

  and conduct research on decision making under conditions of uncertainty.

  University of Pittsburgh

  Professor

  Professor of Public and Urban Affairs. I teach organizational theory

  policy design and implementation

  public policy

  and conduct research on decision making under conditions of uncertainty.

  University of Pittsburgh

  Graduate School of Public and International Affairs

  University of Pittsburgh

• Program Development

  International Relations

  Statistics

  Policy Analysis

  Non-profits

  Sustainability

  Nonprofits

  Research Design

  Public Policy

  Grant Writing

  Program Management

  Policy

  Teaching

  Program Evaluation

  Political Science

  Community Outreach

  Government

  Qualitative Research

  Research

  Higher Education

  Using bayesian influence diagrams to assess organizational performance in 4 california county health departments

  april-july 2009.

  A Bayesian influence diagram is used to analyze interactions among operational units of county health departments. This diagram

  developed using Bayesian network analysis

  represents a novel method of analyzing the internal performance of county health departments that were operating under the simultaneous constraints of budget cuts and increased demand for services during the H1N1 threat in California

  April-July 2009. This analysis reveals the interactions among internal organizational units that degrade performance under stress or

  conversely

  enable a county health department to manage heavy demands effectively.

  Using bayesian influence diagrams to assess organizational performance in 4 california county health departments

  april-july 2009.

  Interactive

  Intelligent

  Spatial Information System (IISIS)

  The Interactive

  Intelligent

  Spatial Information System (IISIS) is a prototype decision support system designed in collaboration with practicing emergency managers. The goal of IISIS is to improve interactive communication

  coordination

  and collective action among organizations in communities exposed to shared risk. These risks include natural disasters

  such as hurricanes

  floods

  earthquakes

  wildland fires; technological disasters such as bridge collapses

  transportation accidents

  and deliberate disaster

  such as cyber attacks

  terrorism

  or malicious disruption of lifeline systems. It offers an interdisciplinary

  interorganizational

  and international approach to disaster risk reduction.

  Mark Voortman

  Comfort