Presented by Salman Asif Siddiqui (ICIMOD) at the CGIAR-CSI Annual Meeting 2009: Mapping Our Future. March 31 - April 4, 2009, ILRI Campus, Nairobi, Kenya
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
[Day 2] Center Presentation: ICIMOD (2/2)
1. HKKH Partnership Project
HKKH-Partnership
Decision Support Toolbox
For
Protected Area
Management
30 Mar – 4th April 2009, CGIAR-CSI Annual Meeting, ILRI Nairobi, Kenya
2. DSS Context
to support management of complex socio-ecosystem
Account for biophysical as well as human dimensions
Account for ecosystem processes at different spatial and
temporal scales
Use a spatially explicit representation of ecosystem
3. Modeling our world
• model is a representation of reality
• models are created as a simplified,
manageable view of reality
• models help to understand, describe, or
predict how things work in the real world
4. Decision making processes
Decisions Impact
Global Global
Regional Regional
National
National
Local
Local
hh
Household
Years
5 10 15 20 25 30 35
5. Framework for DSS development
Qualitative modeling of
Qualitative modeling of
Biophysical & Socioeconomic
Decision Making Process
Dynamics
Re-evaluate
Assessment of
Socio-ecological models Participatory
socio-ecosystem &
(assign values to criteria stakeholder
(Spatial) identification of
for each alternative) consultation
Databases goals
platform
Knowledge Decision models
Development of
base (rank alternatives)
alternative
management
Socio-ecological scenarios
Monitoring system
(trend analysis)
Identification of best
scenario
Decision Support Tools
Implementation of
management
decisions
Revision of value sets
Monitoring effects of selected
and management
management practices
practices
6. The HKKH region and project sites
DST Workshop, ICIMOD 26 & 27 January 2009
7. Linking regional and local dimensions
Methodology
Regional
level
Approach
Tools
Learning
Applications
National and
local levels
SNPBZ CKNP QNP Communication
TECHNOLOGY PEOPLE
ORGANIZATION
Change
DST Workshop, ICIMOD
8. DST objectives
The DST development is guided by the following objectives:
• Easy access to the existing data, information and knowledge
on related to socio-ecosystem
• Provide tools for systemic analysis of key management
issues and natural processes in socio-ecosystem
• Promote the use of scientific knowledge in the management
process
• Assist in developing a framework for monitoring and new
research
10. Stakeholders’ roles and interaction with DST (SNP)
Stakeholder Role System Interaction
Decision maker/ planner Build model
Government agencies
Thematic expert Run model
Central level
Technical user Edit spatial data
Local level
Researcher Perform spatial analysis
External user Assess alternate scenario
Query map
Edit data/ knowledgebase
Query data/ knowledgebase
Decision maker/ planner Build model
CBOs
Thematic expert Run model
formal governance bodies
Technical user Edit spatial data
resource management bodies
Researcher Perform spatial analysis
public interest bodies
External user Assess alternate scenario
Query map
Edit data/ knowledgebase
Query data/ knowledgebase
Decision maker/ planner Build model
Business organizations
Thematic expert Run model
Technical user Edit spatial data
Researcher Perform spatial analysis
External user Assess alternate scenario
Query map
Edit data/ knowledgebase
Query data/ knowledgebase
11. Stakeholders’ roles and interaction with DST
Stakeholder Role System Interaction
Decision maker/ planner Build model
NGOs
Thematic expert Run model
Technical user Edit spatial data
Researcher Perform spatial analysis
External user Assess alternate scenario
Query map
Edit data/ knowledgebase
Query data/ knowledgebase
Decision maker/ planner Build model
Research and academic
Thematic expert Run model
institutions
Technical user Edit spatial data
Researcher Perform spatial analysis
External user Assess alternate scenario
Query map
Edit data/ knowledgebase
Query data/ knowledgebase
Decision maker/ planner Build model
Cultural and religious
Thematic expert Run model
organizations
Technical user Edit spatial data
Researcher Perform spatial analysis
External user Assess alternate scenario
Query map
Edit data/ knowledgebase
Query data/ knowledgebase
12. consults
Decision analysis
Use case
defines
consults
updates
Decision maker/ planner
Knowledgebase browses
develops
Thematic expert
browses
defines
develops Modeling &
scenario analysis External user
browses
constructs
develops
uses
performs
Spatial analysis
Technical user- Modeler
uses
Researcher
performs database
manages updates
Technical user - GIS Analyst Technical user- Data administrator Technical user - data operator
13. Outline of DST Decision Support Toolbox (DST)
Integrated User interface
• to provide a set of Browsers Scenario Analysis Decision Analysis
integrated but self Knowledge Base Performance Modeling Environment
Alternative options
indicators building and
weighting
contained tools to Management Management
Framework (QSD) Levers
support the ecosystem Decision ranking
Map System behaviour
analysis
management of mountain Spatial Editing and Analysis
protected areas Participatory decision support tools Knowledge Base
Editor
Integrated Web Portal (IWP) and Dissemination products
Content Web Mapping Metadata Decision Analysis
publishing / Managent Browsing
management
Data repository
Links to External sources
External Data
Specialized Models
Online metadata sources
14. DST System Architecture
IntegratedUser Interface Interface
User Qualitative
Integrated
Modeling
Quantitative
Modeling
Modeling and Decision
Spatial Advanced
Scenario
Spatial Analysis Decision Analysis
Analysis
Analysis spatial
Analysis Module
Module Module
Module
Module analysis
External Software
RDBMS
DBMS
Knowledgebase
Knowledgebase
NonNon-
- spatial
Module Spatial data
Spatial data spatial
data
data
15. DST modules
• Knowledgebase – collection of metadata of
bibliography, spatial data, models
• Spatial Analysis– GIS functionalities, 3D Visualization
• Scenario Analysis – Qualitative modeling, System
dynamics, GIS integration
• Decision Analysis