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"ePolicy" is a European FP7-ICT-7-5.6 Project whose aim is to assist the policy maker when defining policies to assess whether they meet the requirements of both the policy maker and the domain expert before they are actually enforced. In order to deliver such result, we model the features of the territory, we consider the feedback from citizens, we build appropriate incentive schemas and we test our results by means of a social simulator. Our case study is the energy plan for the Emilia Romagna region in Italy and we have an advanced visualisation layer to present the results and help the user to understand them. This poster presents the key aspects of the project: from the idea to the implementation, showcasing the main components and the visualisation. For more information on the project, visit the web site: http://www.epolicy-project.eu
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Engineering the Policy-Making Life Cycle
VISUALISATION
The visualisation meets two main needs by: • providing intuitive access to ePolicy’s analytical models
• communicating abstract and concrete ideas on the policy area
Three visual interfaces will be implemented: • the global optimiser
• the incentive design and social simulator • the opinion mining component
D E TA I L S
The visualisation modules are: • designed with different abstraction levels in mind
• addressing several roles (modelling experts, policy makers) • adaptable to alternative or similar cases
A B S T R A C T I O N
h"p://www.epolicy-‐project.eu
O P I N I O N M I N I N G
• Digs blogs and fora • Retrieves relevant text • Extracts opinions
• Produces alternative plans • Strategic Environmental Assessment • Multi criteria optimization
G L O B A L OPTIMIZER
• Agent based modelling • Simulates social reaction to policy
instruments • Individual perspective
S O C I A L SIMULATOR
• Efficient budget allocation for incentives
• Encouraging participants to be truthful
I N C E N T I V E D E S I G N
• Aim: to support policy makers in coming to decisions
• Global and individual perspectives merged • Multi-disciplinary approach • Energy plan as a case study • Methodology to move to other policy
domains
T H E e P o l i c y M O D E L
Social Simulator
Incen/ve Design
PARTITION MONEY IN INCENTIVE
MECHANISMS
INCENTIVE POLICY
€
t 1 policy per instrument
MW
t trends
Opinions
t environment
Quality
t
Opinion Mining
Global Op/miser
10M € (opOonal) GROUP INDIVIDUAL INCENTIVE MECHANISMS
POLICY TARGET ENERGY MONEY
20M €
OPINION PER TOPIC
OBJECTIVE FUNCTIONS AND CONSTRAINTS BY
POLICY MAKER
FEEDBACK BY CITIZENS
CONFIGURATION BY ENVIRONMENTAL EXPERT IMPLEMENTING
T H E e P o l i c y M O D E L
• Implemented as web services to support:
– Environmental experts
– Policy makers
• The global optimizer provides alternative scenarios
• The incentive design identifies policy instruments for achieving the objectives of the plan
• The social simulator evaluates the impact of the policy instrument on the society
• The opinion mining component identifies the attitudes that people express