promotional poster for the epolicy project

1
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 DETAILS The visualisation modules are: designed with different abstraction levels in mind addressing several roles (modelling experts, policy makers) adaptable to alternative or similar cases ABSTRACTION h"p:// www.epolicyproject.eu OPINION MINING Digs blogs and fora Retrieves relevant text Extracts opinions Produces alternative plans Strategic Environmental Assessment Multi criteria optimization GLOBAL 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 INCENTIVE DESIGN 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 THE ePolicy MODEL 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 THE ePolicy MODEL 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

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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

TRANSCRIPT

Page 1: Promotional poster for the ePolicy project

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