Accelerating technology for self-organising networked democracy

Raikov, A.

Автор: Raikov Alexander
Журнал: Futures
Год издания: 2018
Издательство: Elsevier BV
Местоположение издательства: Netherlands
DOI: 10.1016/j.futures.2018.03.015
Аннотация: The decision-making processes and strategic conversations in networked democracy have become faster due to artificial intelligence and information and communicative technologies. But traditional approaches to group decision-making support are not quite effective in networked conditions, especially when most of the factors describing the problem situations are poorly defined and non-quantitative. The author’s convergent technology (approach) helps ensure the necessary conditions for structuring information in a special way that accelerates networked group decision-making processes and makes them more sustainable and purposeful. The approach uses the experience of creating networked expertise systems (e-expertise), cognitive modelling, inverse problem solving, etc. The networked groups may include authorities, companies’ management and employees, experts, policy-makers, researchers, citizens, etc. The approach could be useful for group strategic formation for self-organising social networks and for creating effective strategies for government, non-government, regional, national, municipal, and other bodies. An example of testing the approach in real practice is presented
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