Big Policy Canvas Research Roadmap

[...] * How can big data visualization and visual analytics help policy makers? First, generate high involvement of citizens in policy-making. One of the main applications of visualization is in making sense of large datasets and identifying key variables and causal relationships in a non-technical way. Similarly, it enables non-technical users to make sense of data and interact with them.
Emmanouil Ntanos
There should be a clear and explicit distinction of the audiences for the policy visualisations: e.g. experts, decision makers, the general public. Experts are analyzing data, are very familiar with the problem domain and will generate draft policies or conclusions leading to policies Decision makers may not be technical users, and may not have the time to delve deep into a problem. They will listen to experts and must be able to understand the issues, make informed decisions and explain why. The public needs to understand the basics of the issue and the resulting policy in a clear manner.
Emmanouil Ntanos, 25/07/2019 17:17
Emmanouil Ntanos
Good visualization is also important in "selling" the data-driven policy making approach. Experts don't need to be convinced. However policy makers need to be convinced that data-driven policy making is sound, and that its conclusions can be effectively communicated to other stakeholders of the policy process (e.g. public/pvt sector orgs, associations or the general public). External stakeholders also need to be convinced to trust, or at least, consider data-driven policy-making. This requires good visualisations (along with solid communication skills, message and policy narratives of course).
Emmanouil Ntanos, 25/07/2019 17:29