Knowledge Base

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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.

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Solver specialises in providing world-class financial reporting, budgeting and analysis with push-button access to all data sources that drive company-wide profitability. Solver provides BI360, a Corporate Performance Management (CPM) software suite for companies of all sizes, which is available for cloud and on-premise deployment, focusing on four key analytics areas.

In: Assets

DataMelt or DMelt is a software for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualisation. The program can serve many areas, such as natural sciences, engineering, modelling and analysis of financial markets and (as it is a computational platform) it can be used with different programming languages on different operating systems

In: Assets

Weka, an open source software, is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a data set or called from the user's own JAVA code (as Weka itself has been fully implemented in the JAVA programming language). Weka features include machine learning, data mining, pre-processing, classification, regression, clustering, association rules, attribute selection, experiments, workflow and visualisation

In: Assets

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

In: Assets

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

In: Assets

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

In: Assets

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.

In: Assets

Dynamic and continuous dialogue between political representatives and citizens.

In: Assets

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.

In: Assets

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.

In: Assets

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All the data are licensed as Creative Common CC-BY 4.0.