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Policy Modelling
What
1
#228892
Research Challenges in Policy Modelling
Immediately related elements
How this works
-
Crossover Research Roadmap – Policy-Making 2.0 »
Crossover Research Roadmap – Policy-Making 2.0
Crossover Research Roadmap – Policy-Making 2.0☜The Crossover Global Research Roadmap illustrates how new tools and methodologies can help improving public policies; it illustrates real life case studies and identifies the key research challenges for the future research programmes.☜F1CEB7
▲
4. Research Challenges for Policy-Making 2.0 »
4. Research Challenges for Policy-Making 2.0
4. Research Challenges for Policy-Making 2.0☜Mapping the Research Challenges in Policy Modelling and Data-powered Collaborative Governance.☜DE7179
■
Policy Modelling
Policy Modelling☜Research Challenges in Policy Modelling☜DE7179
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1. Systems of Atomized Models »
1. Systems of Atomized Models
1. Systems of Atomized Models☜This research challenge seeks to find the way to model a system by using already existing models or composing more comprehensive models by using smaller building blocks, sometimes also called “atoms”, either by reusing existing objects/models or by generating/building them from the very beginning.☜59C6EF
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2. Collaborative Modelling »
2. Collaborative Modelling
2. Collaborative Modelling☜The English sayings “two heads are better than one” and “too many cooks spoil the broth” give an idea of the expectations that arise from a collaboration of people.☜59C6EF
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3. Easy Access to Information and Knowledge Creation »
3. Easy Access to Information and Knowledge Creation
3. Easy Access to Information and Knowledge Creation☜According to a cybernetic view of intelligent organisations knowledge supersedes 1. the facts, 2. data (statements about facts) and 3. meaningful information (what changes us), the last also defined as “the difference that makes the difference”.☜59C6EF
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4. Model Validation »
4. Model Validation
4. Model Validation☜Policy makers need and use information stemming from simulations in order to develop more effective policies. As citizens, public administration and other stakeholders are affected by decisions based on these models, the reliability of applied models is crucial. ☜59C6EF
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5. Immersive Simulation »
5. Immersive Simulation
5. Immersive Simulation☜As policy models grow in size and complexity, the process of analysing and visualising the resulting large amounts of data becomes an increasingly difficult task.☜59C6EF
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6. Output Analysis and Knowledge Synthesis »
6. Output Analysis and Knowledge Synthesis
6. Output Analysis and Knowledge Synthesis☜Inputs driving a simulation are often random variables, and because of this randomness in the components driving simulations, the output from a simulation is also random, so statistical techniques must be used to analyse the results.☜59C6EF
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Entrée par:
David Price
NodeID:
#228892
Node type:
What
Date d'entrée (GMT):
10/8/2012 9:55:00 AM
Date de la dernière modification (Heure GMT):
3/21/2013 4:34:00 PM
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