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 31 - 40 of 44

A Whitepaper from Fraunhofer FOKUS and several cooperation partners developed an ingenious future technology, for Improvement of the 5G Net-Infrastructure through networks which are capable to learn. Thanks to this it will be possible soon to provide a 5G Network without any latencies. In conclusion it means, that the cloud system will be obsolete for big companies faster or sooner. The Article explains the technology behind it and the possibilities

In: Assets

The PSA produces a score that represents the likelihood that a defendant who is released before trial will commit a new crime or will fail to appear for a future court appearance. 

The PSA examines nine factors based on a person’s age, current charge, and criminal history to produce two risk scores: one that predicts risk of failure to appear for future court appearances, and a second that predicts risk of committing a new crime if released before trial.

In: Assets

GENIX is a huge software company and the official Partner of Australia's defence system to create a Big Data Solution for the Military of Australia. They are working closely together with the most renowned universities and science institutes, similar to Fraunhofer Society or Max-Planck-Society in (Germany/Europe), Sciences Po Paris in France (France/Europe) or Fraunhofer Society (international)

In: Assets

NodeXL is a data visualisation and analysis software of relationships and networks that provides exact calculations. It is a free (Basic package not the pro one) and open-source network analysis and visualisation software and one of the best statistical tools for data analysis which includes advanced network metrics, access to social media network data streams, sentiment analysis and automation

In: Assets

LiquidFeedback is an open-source software, powering internet platforms for proposition development and decision making. It is designed to work with large groups with real conflicts using strict rules in a predefined process without moderator interference. It is currently used by political parties, associations, corporations and for civic participation. More information can be obtained on the website of Interaktive Demokratie e. V.

In: Assets

Apache Spark™ is a unified analytics engine for large-scale data processing.

In: Assets

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

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