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.
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 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.
Accordingly, the Knowledge Base comprises all current and emerging needs and trends as well as the technological and methodological assets serving and addressing them respectively. Every element identified in the three dimensions is defined according to its type, scope, priority, and the policy domains and policy cycle stages in which it applies. A list of criteria, namely namely the type of need, trend or asset, the priority, the Big data potential, as well as the type of item itself enable the user to filter and navigate through the Knowledge Base contents.
The Knowledge Base targets to support the uptake and reuse of solutions that hold the potential to advance policy making processes, leading towards next-generation policy making.
Read the article about the Knowledge Base in the blog and know more about how we have identified and analysed the trends and how we have assessed the Big Data Potential.
LEED, or Leadership in Energy and Environmental Design, is the most widely used green building rating system in the world
Splash is a research project aimed at building a framework that supports the integration of multiple existing models, simulations, and data that represent parts of the broader health ecosystem. Specifically, the goal is to create a platform that takes expert models of constituent real-world systems related to health, synthesising and integrating those models, resulting in an interoperating complex composite system model with which policy-makers can try out alternatives in a low-cost, highly responsive way.
Business process re-engineering (BPR) is a business management strategy, originally pioneered in the early 1990s, focusing on the analysis and design of workflows and business processes within an organization. BPR aimed to help organizations fundamentally rethink how they do their work in order to dramatically improve customer service, cut operational costs, and become world-class competitors.
European Union Open Data Portal (EU ODP) gives you access to open data published by EU institutions and bodies. All the data you can find via this catalogue are free to use and reuse for commercial or non-commercial purposes.
Platform for exploring and downloading Employment Ontario open data
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
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.
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All the data are licensed as Creative Common CC-BY 4.0.
This website reflects the views only of the Consortium, and the Commission cannot be held responsible for any use which may be made of the information contained herein. The editorial content of this site is distributed under a Creative Commons License, Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) except where otherwise specified.
