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PolicyModelling.com

Technologies for Advanced Policy Modelling

  • About
  • Policy-Making Process
    • Overview
    • 1. Agenda Setting
      • 1.1 Policy Problem Identification
        • 1.1.1 Objective Identification
        • 1.1.2 Subjective Identification
      • 1.2 Policy Problem Validation
        • 1.2.1 Objective Validation
        • 1.2.2 Subjective Validation
    • 2. Analysis
      • 2.1 Identification of Challanges and Opportunities
        • 2.1.1 Definitions of Values and Goals
        • 2.1.2 Collection of Evidence and Knowledge from Range of Sources
        • 2.1.3 Collection of Opinions from Stakeholders
      • 2.2 Determination of Solution Approaches and Strategies
        • 2.2.1 Development of a Range of Options
        • 2.2.2 Simulation of Developed Options
        • 2.2.3 Analysis of Options
    • 3. Policy Formulation and Creation
      • 3.1 Dialogue Phase
        • 3.1.1 Discussions and Debates
        • 3.1.2 Summarisation of Debates
      • 3.2 Formulation Phase
        • 3.2.1 Weighing of Policy Options in the Political Context
        • 3.2.2 Draft Proposal for Ratification based on Policy Options
    • 4. Decision Making
    • 5. Policy Implementation
    • 6. Policy Monitoring & Evaluation
      • 6.1 Monitoring
        • 6.1.1 Forecast Simulation
        • 6.1.2 Key-Indicators Monitoring
      • 6.2 Evaluation
        • 6.2.1 Administrative and Judical Evaluation
        • 6.2.2 Impact Evaluation
  • Solutions
    • Overview
    • Policy Indicator Dashboard
    • Social Network Aggregation and Single Window Display
    • Hot Topic Sensing & Topic Summarization
    • Knowledge Database and Visualization
    • Visual Social Data Analysis
    • Visualization of Statistical Data
    • Simulation and Impact Visualization
  • Showroom
    • Overview
    • Social Media Visualization
    • Trend Visualization
    • Open Knowledge Visualization
    • Open Government Data Visualization
    • Simulation Data Visualization
    • Law Visualization
  • Research
  • Home
  • by Auto Crawler

Author Archives for Auto Crawler

Agenda – The Week Ahead 22 – 28 July 2019

posted on 21/07/2019 by Auto Crawler

Committees’ meetings Source : © European Union, 2019 – EP …read more Read more here:: http://www.europarl.europa.eu/news/en/news-room/agenda/2019-W30/

A good balance between work, private life, and a study programme or course

posted on 16/07/2019 by Auto Crawler

By KFrenken Fitting in a short course or a longer training programme alongside your work can make big demands on... Continue reading →

Study visits to Barcelona

posted on 15/07/2019 by Auto Crawler

By KFrenken This May, EIPA Barcelona organised a ten-day ‘internship’ within the ‘Town Twinning between Turkey and the EU’ programme... Continue reading →

Agenda – The Week Ahead 15 – 21 July 2019

posted on 14/07/2019 by Auto Crawler

Plenary session, Strasbourg Source : © European Union, 2019 – EP …read more Read more here:: http://www.europarl.europa.eu/news/en/news-room/agenda/2019-W29/

News about links to publications

posted on 09/07/2019 by Auto Crawler

By Heather Waller We have some new webpages that link volunteers to the publications that their computing time has contributed... Continue reading →

Oxford e-Research Centre teams up with ECMWF to enable scientists to run the OpenIFS weather model on thousands of people’s home computers.

posted on 08/07/2019 by Auto Crawler

By Sarah Sparrow The OpenIFShome project was launched on 18 June during this year’s OpenIFS user workshop at the University... Continue reading →

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RSS h_da | vis Updates

  • Best Paper Award at the iV 2019
  • Paper accepted at VARE 2019
  • Paper accepted at 23rd Internation Conference Information Visualization (iV 2019)

About

This website describes a novel approach to consider ICT in the policy-making lifecylcle, to ensure a more effective and efficient governance. Therefore, an enhanced policy-making process was developed, which strongly orients on the bahaviors of public authorities. Even more benefitial technologies are alligned on it, to allow an optimal tasks solving. [more]

Acknowledgements

This site is updated and maintened by some members of the h_da | vis team.

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