Using the benefits of plurality for scientific development: "Science of Science"

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Researchers, projects, and papers can be viewed as self-organizing and evolutionary networks.

It explores and identifies the paths through which science contributes to inventions and economic changes. Science relies on a collection of quantitative methods ranging from descriptive statistics and data visualization to advanced econometric approaches, network science approaches, machine learning algorithms, mathematical analysis, and agent-based modeling. The value proposition of SciSci is based on the hypothesis that a deeper understanding of the factors that make science successful will enable the entire scientific community to more effectively address social problems.

The accessibility of digital data has increased, allowing for a higher resolution interpretation of the structure and evolution of science.

Thanks to SciSci, it is now possible to quantitatively grasp the interaction between geographical and temporal relationships in the development of science.

It studies what leads to creativity and ultimately accelerates science.

Through the study of networks of collaborative research, it has characterized patterns of the emergence of new scientific fields, and through the study of citation networks, it has revealed pathways to influential discoveries.

For example, according to measurement results, scholars prefer to avoid risks and study topics related to their current field of expertise, which limits the potential for future discoveries.

This suggests the need for an ecosystem that enables researchers who can take risks.

People who try to break this pattern pursue riskier careers, but are more likely to produce important breakthroughs.

To advance science, it is important to use policies to utilize "what conditions overlap to increase creativity".

What's interesting about crypto is that it's like the Avengers, with a lot of topics and a lot of people gathering together.

The number of scientific papers is increasing exponentially, but it is a little different to think that "science is developing and ideas are growing" (average doubling every 15 years).

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Following the tradition of research in their own field may seem productive at first, but it leads to narrowing the field and makes innovation less likely.

High-risk innovation strategies are rare, and scientists cannot pursue such strategies because the additional rewards are not enough to compensate for the risk of failure. Scientific awards and honors seem to be one of the main incentives that resist conservative tendencies and encourage exploration and surprise.

Could this be an opportunity to rethink the evaluation system for researchers?

By utilizing big data, this effort reveals patterns in the careers of scientists and the "reproducibility of scientific inventions," and controls them based on data.

In addition, the 2021 proposal by the Japan Academy emphasizes the concept of "Productive Interaction". This is an approach that aims to increase plurality and improve social impact by creating a network of diverse stakeholders.

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👇Here is an actual example of an IP-NFT.

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