Gecafs decision support systems
Download
1 / 19

GECAFS-Decision Support Systems - PowerPoint PPT Presentation


  • 61 Views
  • Uploaded on

GECAFS-Decision Support Systems. Questions, SCIENCE Outputs Hypotheses. Science-based Toolkit. DSS. Policies, Decision, Decisions Processes. Society Policy Makers Data, Processes Questions, Needs. DSS. Questions, SCIENCE Outputs Hypotheses. Science-based Toolkit.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' GECAFS-Decision Support Systems' - tillie


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Gecafs decision support systems

GECAFS-DecisionSupport Systems


Questions, SCIENCE Outputs

Hypotheses

Science-based Toolkit

DSS

Policies, Decision,

Decisions Processes

Society Policy Makers Data,

Processes

Questions,

Needs

DSS


Questions, SCIENCE Outputs

Hypotheses

Science-based Toolkit

DSS


Policies, Decision,

Decisions Processes

Society Policy Makers Data,

Processes

Questions,

Needs

DSS


Questions, SCIENCE Outputs

Hypotheses

Science-based Toolkit

Policies, Decision,

Decisions Processes

Society Policy Makers Data,

Processes

Questions,

Needs

DSS


Questions, SCIENCE Outputs

Hypotheses

Science-based Toolkit

DSS

Policies, Decision,

Decisions Processes

Society Policy Makers Data,

Processes

Questions,

Needs

DSS


Initial ideas designs for decision support systems qnd in the gecafs project

Initial Ideas/Designs for Decision Support Systems: QnD in the GECAFS project

Greg KikerAgricultural and Biological Engineering Dept.P.O. Box 110570Gainesville, FL 32611-0570Phone: (352) 392-1864 ext 291Email: [email protected]


Qnd model and multi criteria decision analysis mcda
QnD Model and Multi-Criteria Decision Analysis (MCDA) the GECAFS project

  • QnD is a configurable decision support/scenario exploration program

  • Currently we are working to combine QnD results with more available commercial MCDA software

  • QnD + MCDA should allow both exploration of time-based, “tactical” management versus more policy-oriented, “strategic” trade-off analysis


Qnd model what is it
QnD Model: What is it? the GECAFS project

  • QnD™ – “Questions and Decisions™” or “Quick n Dirty”

  • A fully integrated Graphic User Interface (GUI) with a flexible model engine

  • One model - Many ecosystems

    • Java code / XML inputs / Open Source code

    • “Uses Mainstream Technology”

  • Java-based deployment in web browsers

  • “Fast Deployment” (weeks/months)

  • Spatial simulation with GIS linkage

  • Multiple time steps

  • Multiple maps/graphs/files for output variables


Qnd model main sections

subComponent the GECAFS project

subProcess

QnD Model: Main Sections

“Simulation Engine”

“Game View”

  • Developer’s point of contact

  • Creates information

  • Objects: Components, Processes and Data

  • Calculation for selected time step

  • User/Player’s point of contact

  • Communicates information

  • “Widgets”: Maps, Charts, Warning Lights, Text, Sliders, Icons, Buttons

  • User choices – management settings, simulate fast or slow time step, reset


Actors the GECAFS project

  • Players: Interact mostly with the game view.

  • Explore management responses, adaptive opportunities, trade-offs for different scenarios.

  • Provide reality checks

  • Have some interest in the engine structure in their area of interest

  • Provide ideas and directions for further iterations

  • Developers: Interact mostly with the engine.

  • Design and implement engine/game view through XML files.

  • Provide formal calibration/validations

  • Implement ideas and directions of Players

  • Have some interest in the model code

subComponent

GameDriver.java

ModelCreator.java

  • Coders: Interact mostly with the QnD source code.

  • Develop java code to expand engine and game view utility

  • Create new programming code for ideas from Players and Developers…

PrimaryGameFrame.java

subProcess

“Game View”

“Simulation Engine”

QnD Java Source Code


Qnd how do you use it
QnD: How Do You Use It? the GECAFS project

  • We have developed a Development ↔ Iteration methodology

  • Exploring management/policy options under various scenarios

    • Explore management reactions/strategies

    • Teaching/Classroom/Learning sessions

    • Use expert opinion, “other” model results/relationships

  • Use as a traditional model

    • Integrate field-measured results

    • Create predictions under various conditions


Qnd development methodology

Genesis Session the GECAFS project

Prototype QnD Game View and Simulation Engine

  • Talk about the system, goals, desires

  • Explore current management options

  • Gather initial maps/data

  • Brainstorm about desired management options, relevant information and socio-economic realities

  • Rough estimate of components, processes and data

  • Simple information

  • Deployed in limited circulation for calibration/reality checks

Iterative Sessions 1…n

Deployed QnD Model

  • Refine goals, objectives

  • Explore current and possible management options

  • Calibrate/Validate engine performance

  • Revise Game View for relevant management information

  • Make changes concerning management options, relevant information and socio-economic factors

  • Player/Developer reviewed components, processes and data

  • More relevant information

  • Brainstorm about desired management options, relevant information and socio-economic realities

QnD: Development Methodology


2. ASSIMILATING: the GECAFS project

What can we do?

What are the themes which

Constitute potential areas

For improvement or

transformation?

1. DIVERGING:

What is there?

Build as rich a picture as

possible of the problem

situation, through conversation.

3. CONVERGING:

What is important?

What system of human activities

do we need to design to achieve

the transformation we believe

could lead to improvement

of the situation?

4. ACCOMMMODATING:

What does it mean?

How do we use our model

system to establish debate

amongst stakeholders, to

decide what is feasible, and

to achieve the change?

Abstract world

Real world

Soft systems considerations represented in terms of Kolb’s Knowledge Forms (after Bawden et al., 1984).


ad