Cosmos 1.0: a multidimensional map of the emerging technology frontier

Fuente: arXiv
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Main Authors: Gong, Xian, McCarthy, Paul X., Griffith, Colin, McFarland, Claire, Rizoiu, Marian-Andrei
Format: Preprint
Published: 2025
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author Gong, Xian
McCarthy, Paul X.
Griffith, Colin
McFarland, Claire
Rizoiu, Marian-Andrei
author_facet Gong, Xian
McCarthy, Paul X.
Griffith, Colin
McFarland, Claire
Rizoiu, Marian-Andrei
contents This paper introduces the Cosmos 1.0 dataset and describes a novel methodology for creating and mapping a universe of technologies, adjacent concepts, and entities. We utilise various source data that contain a rich diversity and breadth of contemporary knowledge. The Cosmos 1.0 dataset comprises 23,544 technology-adjacent entities (TA23k) with a hierarchical structure and eight categories of external indices. Each entity is represented by a 100-dimensional contextual embedding vector, which we use to assign it to seven thematic tech-clusters (TC7) and three meta tech-clusters (TC3). We manually verify 100 emerging technologies (ET100). This dataset is enriched with additional indices specifically developed to assess the landscape of emerging technologies, including the Technology Awareness Index, Generality Index, Deeptech, and Age of Tech Index. The dataset incorporates extensive metadata sourced from Wikipedia and linked data from third-party sources such as Crunchbase, Google Books, OpenAlex and Google Scholar, which are used to validate the relevance and accuracy of the constructed indices.
format Preprint
id arxiv_https___arxiv_org_abs_2505_10591
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Cosmos 1.0: a multidimensional map of the emerging technology frontier
Gong, Xian
McCarthy, Paul X.
Griffith, Colin
McFarland, Claire
Rizoiu, Marian-Andrei
Computers and Society
Digital Libraries
Social and Information Networks
General Economics
Economics
This paper introduces the Cosmos 1.0 dataset and describes a novel methodology for creating and mapping a universe of technologies, adjacent concepts, and entities. We utilise various source data that contain a rich diversity and breadth of contemporary knowledge. The Cosmos 1.0 dataset comprises 23,544 technology-adjacent entities (TA23k) with a hierarchical structure and eight categories of external indices. Each entity is represented by a 100-dimensional contextual embedding vector, which we use to assign it to seven thematic tech-clusters (TC7) and three meta tech-clusters (TC3). We manually verify 100 emerging technologies (ET100). This dataset is enriched with additional indices specifically developed to assess the landscape of emerging technologies, including the Technology Awareness Index, Generality Index, Deeptech, and Age of Tech Index. The dataset incorporates extensive metadata sourced from Wikipedia and linked data from third-party sources such as Crunchbase, Google Books, OpenAlex and Google Scholar, which are used to validate the relevance and accuracy of the constructed indices.
title Cosmos 1.0: a multidimensional map of the emerging technology frontier
topic Computers and Society
Digital Libraries
Social and Information Networks
General Economics
Economics
url https://arxiv.org/abs/2505.10591