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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Displaying 41 - 50 of 74

Gephi is an open-source network analysis and visualisation software package written in Java on the NetBeans platform. It is a tool for exploring and understanding graphs that allows users to interact with the representation, manipulate the structures, shapes and colours to reveal hidden patterns. Its goal is to help data analysis to make hypothesis, intuitively reveal trends and patterns, highlight outliers and tell stories with their data. It uses a 3D render engine to display large graphs in real-time and to speed

In: Assets

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

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

Nowcasting is a forecasting methodology that is becoming increasingly popular in economics. The use case considers the potential use of Νowcasting in the context of economic policy setting and sets the potential value of an extended use of Νowcasting against different contexts.

In: Assets

This use case covers the methods that can assist policymakers throughout all stages of the policy cycle. It explains the sources for these data and how the outputs can be used to gain. understanding of stakeholders’ and citizen’s opinions on policies and strategies

In: Assets

The Smart Fire Department could be one aspect of a Smart Government scenario. Intelligently networked objects such as smoke detectors, smartphones, surveillance cameras and drones can support the work of the fire department thus leading to tracking behaviour, enhanced situational awareness, sensor-driven decision analytics, process optimisation, optimised resource consumption, complex autonomous systems.

In: Assets

Sensors perfect the transport infrastructures by reporting automatically about its utilisation and current condition. Sensor-generated information about the stress on roads, tracks, canals, bridges and tunnels helps civil engineering authorities to better estimate the condition of the infrastructure. They recognise and repair damages in the transport infrastructure in order to ensure an optimal traffic flow. This is supplemented by indications from citizens via apps.

In: Assets

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