|Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Alan Holland, Barry O’Sullivan||WHAT-IF ANALYSIS THROUGH SIMULATION-OPTIMIZATION HYBRIDS (compsust2012_WhatIf)||2012-07-27|
Public policy issues are extremely complex, occur in rapidly changing environments characterized by uncertainty, and involve conflicts among different interests. Our society is ever more complex due to globalisation, enlargement and the rapidly changing geo-political situation. Therefore, the effects of any intervention become more difficult to assess. Of course, it is becoming ever more important to ensure that actions are effectively tackling the real challenges that this increasing complexity entails.
|Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli||Constraint and Optimization techniques for supporting Policy Making||2012-07-27|
Modeling the policy making process is a very challenging task. To the best of our knowledge the most widely used technique in this setting is agent-based simulation. Each agent represents an individual entity (e.g., citizen, stakeholder, company, public association, public body). The agent interaction enables emerging behaviours to be observed and taken into account in the policy making process itself...
|Marco Gavanelli, Michela Milano, Alan Holland, Barry O’Sullivan||WHAT-IF ANALYSIS THROUGH SIMULATION-OPTIMIZATION HYBRIDS (ecms12)||2012-11-22|
This paper proposes to improve traditional what-if analysis for policy making by a novel integration of different components. When a simulator is available, a human expert, e.g., a policy maker, might understand the impact of her choices by running a simulator on a set of scenarios of interest. In many cases, when the number of scenarios is exponential in the number of choices, identifying the scenarios of interest might be particularly challenging...
|Michela Milano||Sustainable Energy Policies: research challenges and opportunities||2013-03-25|
Designing sustainable energy policies heavily impacts the economic development, environmental resource management and social acceptance. There are four main steps in the policy making process: planning, environmental assessment, implementation and monitoring. We focus here on the first three steps that are performed ex-ante. We describe in this paper these steps tailored on the energy policy process. We also propose enabling technologies for implementing a decision support system for energy policy making.
|Andrea Borghesi, Michela Milano, Marco Gavanelli, Tony Woods||SIMULATION OF INCENTIVE MECHANISMS FOR RENEWABLE ENERGY POLICIES||2013-07-09|
Designing sustainable energy policies has a strong impact on economy, society and environment. Beside a planning activity, policy makers are called to design a number of implementation instruments to enforce their plans. They encompass subsidies, fiscal incentives, feed in tariffs to name a few. Understanding the impact of these instruments on the energy market is essential to select the most efficient one. We propose in this paper a multi-agent simulator that mimics the adoption of photovoltaic as a consequence of a number of implementation instruments. The simulator mainly considers economic evaluations in the agent decision-making procedure, but we are aware also social aspects play an important role and they are subject of current research.
|Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli||Constraint and Optimization Techniques for Supporting Policy Making||2013-07-09|
|Andrea Borghesi, Michela Milano, Marco Gavanelli, Tony Woods||SIMULATION OF INCENTIVE MECHANISMS FOR RENEWABLE ENERGY POLICIES - SLIDES||2013-07-23|
Slides related to the scientific article "SIMULATION OF INCENTIVE MECHANISMS FOR RENEWABLE ENERGY POLICIES" presented at the ECMS2013 Conference.
|Tobias Ruppert||ePolicy Demonstrator User Manual||2015-02-24|
This user manual shall help users of the ePolicy platform during their first usage of the system. The contains three components: the integrated social simulation and incentive design component, the global optimisation component, and the opinion mining component.
|Federico Chesani||ePolicy Storyboard Hand Out||2015-02-26|