COLLECTIVE INTELLIGENCE SYSTEM PROJECTS

Some of Nanquanu's collective intelligence system projects:
The Nanquademy: (NQy for short) is a portmanteau of "Nanquanu" and "Academy". It is a novel approach to effectively develop effective learning environments through collective self-organisation with a sophisticated blend of crowdsourcing and information technologies, such as "A.I" and "smart algorithms". It is intended to form a major step forward in the evolution of human learning. It has been subjected to extensive research and development effort over years. The Nanquademy served as a successful pilot in a prominent Dutch governmental organisation entrusted with wide-ranging, sensitive responsibilities. They wanted to explore how to efficiently facilitate in-house knowledge-dissemination about ethical AI applications between its 60,000 employees. Several principles of the Nanquademy have also been applied in one of the central courses on Machine Learning for AI students at a large University.
Dunnowanno: (stands for "didn't know I wanted to know") never again make an unnecessary and costly mistake that another person already made. Think of tax mistakes that cost you 10,000 euro, a mistake that destroys an expensive item you just bought, or a mistake that may even cause severe injuries. So, share pitfalls in an unprecedentedly effective and inspiring way, using an advanced blend of crowd-sourcing, such as collaborative filtering, a system based on human-guided and evolution, and knowledge representation and reasoning and other AI approaches, and prevent others from stepping into them.
Societal Crowd-Caching (NQ-SCC): We find ourselves in a society in which most people lack sufficient essential knowledge. Such a society cannot act sufficiently wise. Consequently, it cannot sustain a healthy and balanced condition. Despite the internet's vast repository of information, key issues such as human-induced global warming and effective responses to pandemics remain unresolved for many, resulting in widespread poor decision-making. Access to information does not guarantee its balanced dissemination, nor its comprehension. Challenges include determining impartial, balanced information; fostering trust in the selection process; aiding understanding and retention of information; addressing time constraints; breaking through social bubbles that reinforce biases; and countering deliberate misinformation. NQ-SCC (Nan Quanu’s Societal Crowd-Caching) proposes a collective intelligence system leveraging crowdsourcing and complementary algorithms to address these challenges with unprecedented efficacy.
An evolutionary theory inspired problem solving system: optimises problem solving strategies for groups by using principles from evolutionary theory and crowd sourcing.

MODERN COLLECTIVE INTELLIGENCE SYSTEMS (COLI-SYSTEMS)

Examples of modern collective intelligence systems are Wikipedia, Mastodon (similar to Twitter/X) and Cryptpad (similar to Google Docs or Office 365). Coli is present whenever the intelligence of a human group is greater than the sum of the members’ intelligences. A collective intelligence system fosters the collective intelligence of a group in a certain respect. These systems are as old as humanity. However, modern collective intelligence systems use the ubiquitous presence of the Internet, revolutionising collective intelligence system design. Using the Internet allows forms of collective intelligence that were impossible before. For example, Wikipedia allows encyclopedic information to be developed and kept up-to-date at an unprecedented rate, by allowing anyone in the World to edit the encyclopedia, while, with its cleverly designed organisational structure, it still is qualitatively on par with premium encyclopaedias such as the Encyclopædia Britannica.