Knowledge Base

About this tool

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 93

The City of Adelaide has created a digital 3D City Model that is helping visualise the City’s future, particularly in relation to growth scenarios and land use planning

In: Assets

The goal of the social network game is to help empower people all over the world to come up with creative solutions to our most urgent social problems

In: Assets

Explore the different areas of Inflation Island, see how people react to inflation and deflation, and how the scenery changes. You can also test your knowledge and try to identify the different inflation scenarios

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

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

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