Artis Aizstrauts

Explorative Visualization of Impact Analysis for Policy Modeling by Bonding Open Government and Simulation Data

Problem identification and solution finding are major challenges in policy modeling. Statistical indicator-data build the foundation for most of the required analysis work. In particular finding effective and efficient policies that solve an existing political problem is critical, since the forecast validation of the effectiveness is quite difficult. Simulation technologies can help to identify optimal policies for solutions, but nowadays many of such simulators are stand-alone technologies. In this paper we introduce a new visualization approach to enable the coupling of statistical indicator data from Open Government Data sources with simulators and especially simulation result data with the goal to provide an enhanced impact analysis for political analysts and decision makers. This allows, amongst others a more intuitive and effective way of solution finding.

The Yantai Urban Economic Development Assessment Simulator

Economic development simulation is an important component of policy crafting. The possibility of testing potential solutions and selecting the most applicable is the basis of successful development. The article deals with the Yantai Urban Economic Development Assessment simulator, which is based on a multi agent-based (ABM/MAS) simulation model that is comprised of the resource consumption function minimization algorithm. The aim of the simulation is to rank industries in conformity with resource consumption, influence on the environment and income paid into the budget of the city. The simulator allows the administration of the city to elaborate justified decisions about the promotion of successful enterprises and the closing unsatisfactory ones.

Multi-level Architecture on Web Services Based Policy Domain Use Cases Simulator

The FP7 FUPOL project aims at a completely new approach to traditional policy modeling providing complex domain use case verification with the FUPOL Simulator and visualisation of the results in a form suitable for beneficiaries. Policy domain use case models are diverse and versatile, therefore architecture of the simulator must fit complexity and usability requirements that determine involving heterogeneous agent-based and system dynamics simulation technologies and an appropriate implementation comprising on SOA based distributed models joined by Easy Communication Environment (ECE). The article deals with designing the FUPOL Simulator architecture, and the benefits, and drawbacks of the approach used.