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Cosmos 1.0: a multidimensional map of the emerging technology frontier
Xian Gong1, Paul X McCarthy2,3, Colin Griffith4
1University of Technology Sydney, Faculty of Engineering and Information Technology, Sydney, 2007, Australia. xian.gong@student.uts.edu.au.
Scientific Data
|November 19, 2025
Summary
This study introduces the Cosmos 1.0 dataset, mapping 23,544 technology-adjacent entities using contextual embeddings. It provides new indices to assess emerging technologies and their landscape.
Area of Science:
- Computer Science
- Data Science
- Information Science
Background:
- Contemporary knowledge is vast and complex, requiring structured datasets for analysis.
- Mapping technology-adjacent entities and emerging trends is crucial for innovation.
- Existing datasets may lack the breadth and depth to capture the evolving technological landscape.
Purpose of the Study:
- Introduce the Cosmos 1.0 dataset, a novel resource for understanding technologies.
- Describe a methodology for creating and mapping a universe of technologies and related concepts.
- Develop and validate new indices for assessing emerging technologies.
Main Methods:
- Utilized diverse source data encompassing contemporary knowledge.
- Developed a dataset of 23,544 technology-adjacent entities (TA23k) with hierarchical structure.
- Employed 100-dimensional contextual embedding vectors for clustering entities into seven thematic tech-clusters (TC7) and three meta tech-clusters (TC3).
- Manually verified 100 emerging technologies (ET100).
- Integrated metadata from Wikipedia and linked data from sources like Crunchbase, Google Books, OpenAlex, and Google Scholar.
- Developed indices including Technology Awareness Index, Generality Index, Deeptech, and Age of Tech Index.
Main Results:
- The Cosmos 1.0 dataset comprises 23,544 technology-adjacent entities.
- Entities are clustered into seven thematic tech-clusters (TC7) and three meta tech-clusters (TC3) using embedding vectors.
- New indices were developed and incorporated to assess the emerging technology landscape.
- Metadata validation confirmed the relevance and accuracy of constructed indices.
Conclusions:
- The Cosmos 1.0 dataset offers a comprehensive resource for technology mapping and analysis.
- The novel methodology provides a robust framework for creating and organizing technological knowledge.
- The developed indices offer valuable insights into the dynamics of emerging technologies.
- This dataset and methodology can support research, innovation, and strategic decision-making in technology.
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