※This is a machine-translated text of the original article.

SusLab analyzed the attractiveness and challenges of the 47 prefectures nationwide in Japan by item, and scored them using AIs (machine-learning models) for the first time in Japan, in order to make the SDGs (Sustainable Development Goals) of the UN’s international goals visible in order to realize sustainable worlds.

The company has developed a system that scores SDGs issues so that everyone can visually understand them.

The realization of this system enables each prefecture to grasp the strengths and weaknesses of its own cities at a glance, and to promote measures for better local government management.

Prefectural SDGs scoring methods

More than 400 data, such as educational costs, access to water supply, and CO2 emissions, are extracted using the system.

AI (machine learning) analyzes these data in real time by comparing them in consideration of the size of the population and the size of the economy of each prefecture.

Based on these data, after discussions with experts, each local government will grasp its strengths and weaknesses in concrete ways and make them usable for concrete measures, thereby producing a score (based on interviews with local governments and questionnaires, further scoring is planned in the future).

This system enables local governments to develop concrete solutions since it is possible to compare the score with the average of local governments nationwide by quantifying such issues as “marine diversity protection” and “town development”.

Original Text: https://ampmedia.jp/2019/12/27/sdgs-7/