Concept Technical Approach Application Collaborations

Slides:



Advertisements
Similar presentations
The Way Ahead How can we make a difference for good as a result of this meeting? What problems are we trying to solve? Laboratory Capacity? Clinical/Diagnostics,
Advertisements

Randolf S. Vicente, DLUP, MSRS
Establishing Research Priorities for Public Health Emergency Preparedness in Canada: Results of a Scoping Review and Priority- Setting Meeting Yasmin Khan,
Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1, Evacuation Models and Dynamics.
Interactive and Collaborative Visualization and Exploration of Massive Data Sets ---- UC Davis Visualization Investigators: Bernd Hamann, Ken Joy, Kwan-Liu.
Dynamic Disaster Simulation Ken Sochats Director, Center for National Preparedness Director, Visual Information Systems Center Director, GIS and Visual.
Parallel and Distributed Simulation Introduction and Motivation By Syed S. Rizvi.
Integrated Land Use, Transportation, and Environmental Modeling Alan Borning, University of Washington Mark Simonson, Puget Sound Regional Council NSF.
Chapter Objectives Be able to: n Explain why income taxes are important to the business decision process. n Explain why income tax laws are not as complex.
EHealth Strategy Office MedInfo 2013 Copenhagen August 21, 2013 Clinical Simulations in Health Professionals Education: EMR Training in UBC Faculty of.
Relevance of Simulation Models for Assessments of LivingLabs Activity University of Maribor Faculty of Organizational Sciences www
Emergency Management Information System - EMIS
CORDEX Scope, or What is CORDEX?  Provide a set of regional climate scenarios (including uncertainties) covering the period , for the majority.
1. IASC Operational Guidance on Coordinated Assessments (session 05) Information in Disasters Workshop Tanoa Plaza Hotel, Suva, Fiji June
From GEANT to Grid empowered Research Infrastructures ANTONELLA KARLSON DG INFSO Research Infrastructures Grids Information Day 25 March 2003 From GEANT.
August 13-14Pittsburgh, Pennsylvania 2014 Annual Business Meeting IFTA, Inc. Strategic Plan Update 2014 Annual IFTA Business Meeting Pittsburgh, PA Trent.
BUILDING THE FOUNDATIONS FOR A STATE M&E SYSTEM Information for M&E in the State of Yucatán 1.
Deeper Insights from System Dynamics Models Mark Paich Lexidyne Consulting 10/9/08.
Urban Infrastructure and Its Protection Responding to the Unexpected Interest Group Report Group Members G. Giuliano (USC), Jose Holguin-Veras (CUNY),
Production Engineering is the combination of Manufacturing Technology and Management Science.
Pascucci-1 Valerio Pascucci Director, CEDMAV Professor, SCI Institute & School of Computing Laboratory Fellow, PNNL Massive Data Management, Analysis,
Develop a Safety Assurance approach for Complex Systems (Problem Definition) Supervisors: Tim Kelly, Rob Alexander Chris Leong HISE Group Giving a Presentation.
Draft GEO Framework, Chapter 6 “Architecture” Architecture Subgroup / Group on Earth Observations Presented by Ivan DeLoatch (US) Subgroup Co-Chair Earth.
York University – Continuous Improvement Conference June 2015 Dr Richard Court – Centre for REMS.
Advanced Decision Architectures Collaborative Technology Alliance An Interactive Decision Support Architecture for Visualizing Robust Solutions in High-Risk.
2/28/02 NSF - Responding to the Unexpected 1 Earthquake Case Discussion Response to Unexpected NSF Workshop Feb 27-Mar
Constraints for V&V of Agent Based Simulation: First Results A System-of-Systems Engineering Perspective Dr. Andreas Tolk Frank Batten College of Engineering.
Global City Teams Challenge September 29-30, 2014 Human Population Mapping for Enhanced Community Resilience Annapolis, Maryland.
Transportation Planning Analysis Unit, Transportation Development Division TRB Innovations in Travel Modeling Conference The Path to a Staged Implementation.
DICOMA DIsaster COntrol MAnagement Co-summit & 31 October, Paris - France Eloy González Ortega Indra Software Labs.
 CMMI  REQUIREMENT DEVELOPMENT  SPECIFIC AND GENERIC GOALS  SG1: Develop CUSTOMER Requirement  SG2: Develop Product Requirement  SG3: Analyze.
Climate Change Impacts and Adaptation: The Prairie Adaptation Research Cooperative Mark Johnston Forest Ecosystems Branch, Environment and Resource Management.
Urban Infrastructure and Its Protection Responding to the Unexpected Interest Group Report.
By Larry Redd, P.E. Redd Engineering Report for TCCE Annual Meeting Ken Spear, P.E. WYDOT Contracts & Estimates Engineer.
Evaluating GIS for Disaster Management Bruce Kinner GEOG 596A.
@NACCHOalerts th St NW Washington, DC Integrating GIS Mapping into Radiation Emergency Response Planning to Maintain Situational.
Human features are those things created by man.
1 This project has received funding from the EU’s FP7 Programme under grant agreement no A DEcision Support Tool for Reconstruction and recovery.
Dr. John T. Wells, Dean and Director, VIMS Dr. Mark W. Luckenbach, Associate Dean, VIMS Dr. Morris Foster, Vice President for Research, ODU February 24,
1 Evaluating GIS for Disaster Management Bruce Kinner GEOG 596B.
Open GIS Consortium Charles Heazel March 19, 2003.
Support to Strengthening Devolved Structures’ Capacity for Emergency Preparedness and Response (EPR) 12 th October 2016 The 4 th National Symposium on.
EM-DAT TAG Meeting New York, October 26, 27 and Dang Quang Minh
InaSAFE: Technology Solutions for DM
Spatial decision making
Module: Assess Threat & Risk
Randall (Randy) Snyder, PT, MBA Division Director January 27, 2016
Q & A Overview of the Coalition Surge Test (CST)
Policy-oriented Enterprise Management (POEM)
Virtual Alabama School Safety System
Integrating Employment and Housing to End Homelessness
DataNet Collaboration
What is GIS? 1-Introduction to GIS 6/24/2018
Presentation on Copernicus Dissemination
ENHANCING MANAGEMENT DECISION MAKING
Project Sentinel Collaboratory Georgetown University Medical Center Washington Hospital Center Seong K. Mun, PhD Funded By National Library of Medicine.
FUTURE CAPACITY BUILDING NEEDS dISCUSSION
Geographic Information Systems
Enhancing Medical Surge Capacity
Dynamic Discrete Disaster Decision Support System D4S2
Health care for the Homeless Strategic Planning 2018
RESCUE System Deliverables
Smart Learning concepts to enhance SMART Universities in Africa
MARS Metropolitan Activity Relocation Simulator
Geographic Information Systems
Cybersecurity EXERCISE (CE) ATD Scenario questions
Introduction to Geographic Information Systems (GIS)
  1-A) How would Arctic science benefit from an improved GIS?
Ken Sochats/ Threat Potential Modeling
Sabina Deitrick, Pittsburgh Community Information System
Presentation transcript:

Concept Technical Approach Application Collaborations Balaban, C., Bidanda, B., Shuman, L., Sochats, K., D4S2 - Dynamic Discrete Disaster Decision Simulation System University of Pittsburgh, Pittsburgh, PA 15260, 412-624-9416, sochats@sis.pitt.edu Concept Technical Approach Develop a disaster scenario. 2. Using GIS, delineate the geographic scope of the disaster and extract the relevant geographic features, transportation routes, buildings, population and other important entities. 3. Build the decision models and simulation problem. 4.  Operate the simulation and its interacting decision models. 5.  Dynamically display the results of the simulation/decision process on a user interface.  6. Analyze the simulation results. Use simulation of natural and man-made disaster scenarios to explore: Interoperability issues decision timeliness and quality as a function of situational awareness The effects of training, policy, planning, order of engagement and jurisdiction on response efficiency and effectiveness Risk assessment Application Collaborations University of Pittsburgh: Carey Balaban, School of Medicine Bopaya Bidanda, School of Engineering Larry Shuman, School of Engineering Ken Sochats, School of Information Sciences Allegheny County Funding: University of Pittsburgh Research Fund Emergency Managers and government officials must integrate massive amounts of information of many types and divergent sources in order to make effective decisions regarding the allocation of resources in an emergency. D4S2 provides decision makers with an active laboratory to test policies, training, strategy and tactics in a simulated real-life decision scenario.