The Big Policy Canvas Knowledge Base is a state-of-the-art, online and dynamic repository that functions as an accumulator uniting all the knowledge produced during the project. It is structured along the three dimensions of needs, trends and assets and furthermore offers a mapping among them by defining how they are interconnected and how they influence each other.
Are you aware of an asset that can help enrich the BPC KB? Share it with us and be named contributors to our work.
The Big Policy Canvas Knowledge Base is a state-of-the-art, online and dynamic repository that functions as an accumulator uniting all the knowledge produced during the project. It is structured along the three dimensions of needs, trends and assets and furthermore offers a mapping among them by defining how they are interconnected and how they influence each other.
Accordingly, the Knowledge Base comprises all current and emerging needs and trends as well as the technological and methodological assets serving and addressing them respectively. Every element identified in the three dimensions is defined according to its type, scope, priority, and the policy domains and policy cycle stages in which it applies. A list of criteria, namely namely the type of need, trend or asset, the priority, the Big data potential, as well as the type of item itself enable the user to filter and navigate through the Knowledge Base contents.
The Knowledge Base targets to support the uptake and reuse of solutions that hold the potential to advance policy making processes, leading towards next-generation policy making.
Read the article about the Knowledge Base in the blog and know more about how we have identified and analysed the trends and how we have assessed the Big Data Potential.
This case focuses on the opportunity that micro - data on learning processes (e.g. within universities) and the use of learning analytics provide for the design of educational strategies by policy makers at a national and European level
The OpenText Sentiment Analysis module is a specialised classification engine used to identify and evaluate subjective patterns and expressions of sentiment within textual content. The analysis is performed at the topic, sentence, and document level and is configured to recognise whether portions of text are factual or subjective and, in the latter case, if the opinion expressed within these pieces of content are positive, negative, mixed, or neutral
Trackur’s automated sentiment analysis looks at the specific keyword one is monitoring and then determines if the sentiment towards that keyword is positive, negative or neutral with the document. That’s weighted the most in Trackur algorithm. It can be used to monitor all social media and mainstream news, to gain executive insights through trends, keyword discovery, automated sentiment analysis and influence scoring
Lisbon Participatory budgeting (here in after, Lx-PB) structure is designed in such a way that the public and the city council should work together. It also embraces ICT, that is, it uses the internet and SMS, encourages the people to take part – face-to-face as well as through online platform (https://www.lisboaparticipa.pt/). The face-to-face platform where the citizens of Lisbon could take part in budgeting process is known as Participatory Assemblies (PAs, here in after). Often, several PAs take place during Spring and Autumn time period.
Dynamic and continuous dialogue between political representatives and citizens.
The Maryland Budget Game allows users to develop their own proposals for balancing the state budget. The game presents different budget options in a range of policy areas, along with background information and factors to consider.
Opengov.gr has been designed to serve the principles of transparency, deliberation, collaboration and accountability and includes three initiatives: Οpen calls for the recruitment of public administration officials; Electronic deliberation; Labs OpenGov.
Management Consultant for Smart Energy in rural regions. Provides statistics from social media platforms as well as individual data of little regions in terms of mobility, energy and so on.
MapR is a Data Solution for various industries, government and the health sector.
At the core of MapR is the MapR Converged Data Platform (MCDP) that enables simultaneous analytics and applications, so governments can manage the magnanimity and complexity of data.
You are free to download the data of this Knowledge base.
To do this you must be an authenticated user: log in or sign in now.
All the data are licensed as Creative Common CC-BY 4.0.
This website reflects the views only of the Consortium, and the Commission cannot be held responsible for any use which may be made of the information contained herein. The editorial content of this site is distributed under a Creative Commons License, Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) except where otherwise specified.
