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On the 3rd of October 2018, Big Policy Canvas representatives met with Lieven Raes, Smart City advisor at Information Flanders and coordinator of the project PoliVisu - Policy Development based on Advanced Data Analyti

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The Big Policy Canvas Knowledge Base is a state-of-the-art, online, dynamic repository, intended to act as the placeholder for the knowledge to be produced during and beyond the Big Policy Canvas project, structured along three dimensions, Needs, Trends and Assets.
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The Big Policy Canvas Needs and Trends Assessment Framework is essentially a methodology for mapping needs and trends to application domains, as well as for assessing the former in terms of their cost, importance, urgency and capability for innovation.

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BPC Workshop on “Transforming Decision and Policy Making through Big Data” was held on the 4th of September very well received by the attending public.

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Workshops

We are pleased to invite you to the Big Policy Canvas Workshop on “Transforming Decision and Policy Making through Big Data” where you can share your view on how barriers impeding big data driven modernisation in decision and policy making can be overcome.

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Workshops

Related projects

Towards #WeGovernment: Collective and participative approaches for addressing local policy challenges

WeGovNow and its 12 partner organisations are building upon earlier research and development by further developing existing solutions and integrating them within a single community engagement platform. This platform will allow people to report problems and suggest improvements, to discuss their relevance, explore ways to fix problems through collective action, find solutions to compensate for resource shortages affecting the quality of publicly provided services, debate topics of strategic nature, and develop and vote upon concrete suggestions for local policy action.

Policy Development based on Advanced Geospatial Data Analytics and Visualisation

PoliVisu is a Research and Innovation project designed to evolve the traditional public policy making cycle using big data. The aim is to enhance an open set of digital tools to leverage data to help public sector decision-making become more democratic by (a) experimenting with different policy options through impact visualisation and (b) using the resulting visualisations to engage and harness the collective intelligence of policy stakeholders for collaborative solution development.

Understanding value co-creation in public services for transforming European public administrations

The main goal of Co-VAL is to discover, analyse, and provide policy recommendations for transformative strategies that integrate the co-creation of value in public administrations. The project aims to accomplish these objectives by conducting research on the paradigm shift from the traditional top-down model to demand and bottom-up driven models when citizens, civil servants, private, and third sector organizations voluntarily participate in the development of transformative innovations addressing changing needs and social problems.

Co-creation of Service Innovations in Europe

The vision of CoSIE is to be a catalyst in a new era in the development of public services. Led by Turku University of Applied Sciences, it has received funding of 5 million Euros under Horizon 2020. Partners are universities, companies, public agencies and civil society organizations. CoSIE is informed by learning from research undertaken in Innovative Social Investment; Strengthening Communities in Europe (InnoSI) funded by the European Commission and led by PERU (2015- 2017).

DEvOps for trusted, portable and interoperable multi-Cloud applIcations towards the Digital singlE market

The main objective of the DECIDE project is to provide a new generation of multi-cloud service-based software framework, enabling techniques and mechanisms to design, develop, and dynamically deploy multi-cloud aware applications in an ecosystem of reliable, interoperable, and legal compliant cloud services.

DECIDE refers to multicloud applications as those applications that can dynamically distribute their components over heterogeneous cloud resources and still hold the functional, business and non-functional properties (NFP) declared in their SLAs.