The document discusses using ICT tools to help address challenges in policy making. It proposes building a policy model using cloud infrastructure, semantic technologies, and information architecture. The model would help determine policy attributes, customize to changing environments, and provide feedback to policy makers. It would retrieve information from various sources to run specific models and support real-time decision making. The goal is to help policy makers deal with complex, changing environments and provide measurements of policy success.

1. ICT for Governance and Policy
Modelling
Constituency building Workshop, Brussels
13 July 2010
András Gábor, Andrea Kő

2. Cloud Information
infrastructure & architecture
Semantic determination
technologies
Policy Model
Customization Model Selection
Construction
Information Retrieval Toolset
•Selection of data sources,
Policy Maker Policy attributes
knowledge sources,
Challenges determination Decision Mining
•Text
•Complex environment Adaption to changing agent Mining
•Data
•Lack of common governance environments and reflection
•Visulization
models to civil society needs
•Insufficient interpretion and web 2.0 communities
visualisation the policy influencing
factors Information Information
•Lack of proper feedback to policy Retrieval Solution Retrieval
makers Strategy
Well-balanced
“push and/or pull”
•Model results information
Feedback to policy Real-time support
makers for policy makers
•Measurement of the
policy making success Data Collection Model Run
- ROI for governments
Model Results Decision agent
Interpretation Policy
Monitoring Running the
specific model
using the actual
data
© András Gábor, Andrea Kő ICT for Governance and Policy Modelling 2
Constituency building Workshop, Brussels, 2010

3. Cloud Information
infrastructure & architecture
Semantic determination
technologies
Policy Model
Customization Model Selection
Construction
Information Retrieval Toolset
•Selection of data sources,
Policy Maker Policy attributes
knowledge sources,
Challenges determination Decision Mining
•Text
•Complex environment Adaption to changing agent Mining
•Data
•Lack of common governance environments and reflection
•Visulization
models to civil society needs
•Insufficient interpretion and web 2.0 communities
visualisation the policy influencing
factors Information Information
•Lack of proper feedback to policy Retrieval Solution Retrieval
makers Strategy
Well-balanced
“push and/or pull”
•Model results information
Feedback to policy Real-time support
makers for policy makers
•Measurement of the
policy making success Data Collection Model Run
- ROI for governments
Model Results Decision agent
Interpretation Policy
Monitoring Running the
specific model
using the actual
data
© András Gábor, Andrea Kő ICT for Governance and Policy Modelling 3
Constituency building Workshop, Brussels, 2010

4. Thank you for
your attention!
Email: agabor@corvinno.com;
ako@corvinno.com