Smart Start is an innovative programme that started in the province of North-Brabant in the Netherlands in 2017 with the goal of jointly developing a preventive approach to arrive at beneficial childhood experiences that allow children to grow up safely and child-friendly.
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.
Knowledge base data visualization
Explore the knowledge base data graph.
Improve the Knowledge Base
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 Aragon Open Data initiative started in 2012 by the Aragon Government. It is a portal where open data are shown in reusable format with the main objective of being used by other people or companies to develop software and services for citizens, thus creating economic wealth through the reuse of information and the fostering of transparency.
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.
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
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.
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.
The aim of the project is to construct a computer-based simulation model as a decision-support tool for policy-making in the early life course. This entails building a model with micro-level data derived from existing longitudinal studies to quantify, for policy purposes, the underlying drivers and determinants of progress in the early life course.
Information to the citizens and companies of the State of Bavaria in Germany in the domain of energy sources, including renewable energy.