Exploration and Use of Large Model-driven Digital Humans for Popularizing Earthquake Science

Earthquakes in China frequently cause severe damage, underscoring the importance of actively promoting science education to enhance public awareness on earthquake prevention and disaster reduction and proactive disaster mitigation. However, significant gaps in the content, presentation, and richness of current earthquake science-related education exist as well as a lack of public engagement in such efforts, necessitating improvement in all aspects. By leveraging artificial intelligence and large language models, we can develop advanced educational tools to create new innovative methods for enhancing public interactivity and engagement and content richness in earthquake science-related education. The International Seismological Data Center has created QuakeGPT, a large model for the vertical earthquake domain based on Alibaba’s open-source model “Tongyi Qianwen.” This model has acquired extensive professional knowledge related to earthquakes and provides richer, more accurate information through question-and-answer services. QuakeGPT offers earthquake knowledge and disaster prevention advice via the WeChat “XiaoQ” platform, increasing public engagement and learning effectiveness and thereby significantly enhancing the general public’s knowledge on earthquake science and their ability to respond to earthquakes.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.15953/j.ctta.2024.079
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
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article

Exploration and Use of Large Model-driven Digital Humans for Popularizing Earthquake Science

SHILAP Revista de lepidopterología
Seismology and Earthquake Studies
article

Exploration and Use of Large Model-driven Digital Humans for Popularizing Earthquake Science

article en

Abstract

Earthquakes in China frequently cause severe damage, underscoring the importance of actively promoting science education to enhance public awareness on earthquake prevention and disaster reduction and proactive disaster mitigation. However, significant gaps in the content, presentation, and richness of current earthquake science-related education exist as well as a lack of public engagement in such efforts, necessitating improvement in all aspects. By leveraging artificial intelligence and large language models, we can develop advanced educational tools to create new innovative methods for enhancing public interactivity and engagement and content richness in earthquake science-related education. The International Seismological Data Center has created QuakeGPT, a large model for the vertical earthquake domain based on Alibaba’s open-source model “Tongyi Qianwen.” This model has acquired extensive professional knowledge related to earthquakes and provides richer, more accurate information through question-and-answer services. QuakeGPT offers earthquake knowledge and disaster prevention advice via the WeChat “XiaoQ” platform, increasing public engagement and learning effectiveness and thereby significantly enhancing the general public’s knowledge on earthquake science and their ability to respond to earthquakes.

SHILAP Revista de lepidopterología
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Seismology and Earthquake Studies
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