Machine learning-based model to predict topics contributing to Sustainable Development Goals: A study of Latin American and European Countries

Barbara S. Lancho Barrantes

doi:10.51408/issi2025_176

Machine learning-based model to predict topics contributing to Sustainable Development Goals: A study of Latin American and European Countries

School of Arch, Tech and Eng

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

This study analyses SDG 3 (Good Health and Well-being) research from the top 10 publishing countries in Latin America and Europe, using data from OpenAlex. Through data analysis and machine learning, it identifies regional health priorities and predicts future research trends. The findings highlight the thematic divergence between world regions and call for context-aware bibliometric strategies to better support global development goals.

Original language	English
Title of host publication	The 20th International Society for Scientometrics and Informetrics (ISSI) Conference
Subtitle of host publication	Shaping the Future: New Horizons in the Science of Science
Editors	Shushanik Sargsyan, Wolfgang Glänzel, Giovanni Abramo
Place of Publication	Yerevan
Publisher	International Society for Scientometrics and Informetrics (ISSI)
Number of pages	2
Volume	2
ISBN (Print)	9789939120867
DOIs	https://doi.org/10.51408/issi2025_176
Publication status	Published - 23 Jun 2025
Event	Shaping the Future: New Horizons in the Science of Science: 20th International Conference on Scientometrics and informetrics - Yerevan, Armenia Duration: 23 Jun 2025 → 27 Jun 2025 https://issi2025.iiap.sci.am/#

Conference

Conference	Shaping the Future: New Horizons in the Science of Science
Country/Territory	Armenia
City	Yerevan
Period	23/06/25 → 27/06/25
Internet address	https://issi2025.iiap.sci.am/#

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10.51408/issi2025_176

Final_version_LanchoBarrantesAccepted author manuscript, 204 KB

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Lancho Barrantes, B. S. (2025). Machine learning-based model to predict topics contributing to Sustainable Development Goals: A study of Latin American and European Countries. In S. Sargsyan, W. Glänzel, & G. Abramo (Eds.), The 20th International Society for Scientometrics and Informetrics (ISSI) Conference: Shaping the Future: New Horizons in the Science of Science (Vol. 2). International Society for Scientometrics and Informetrics (ISSI). https://doi.org/10.51408/issi2025_176

Lancho Barrantes, Barbara S. / Machine learning-based model to predict topics contributing to Sustainable Development Goals : A study of Latin American and European Countries. The 20th International Society for Scientometrics and Informetrics (ISSI) Conference: Shaping the Future: New Horizons in the Science of Science. editor / Shushanik Sargsyan ; Wolfgang Glänzel ; Giovanni Abramo. Vol. 2 Yerevan : International Society for Scientometrics and Informetrics (ISSI), 2025.

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abstract = "This study analyses SDG 3 (Good Health and Well-being) research from the top 10 publishing countries in Latin America and Europe, using data from OpenAlex. Through data analysis and machine learning, it identifies regional health priorities and predicts future research trends. The findings highlight the thematic divergence between world regions and call for context-aware bibliometric strategies to better support global development goals.",

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publisher = "International Society for Scientometrics and Informetrics (ISSI)",

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note = "Shaping the Future: New Horizons in the Science of Science : 20th International Conference on Scientometrics and informetrics ; Conference date: 23-06-2025 Through 27-06-2025",

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Lancho Barrantes, BS 2025, Machine learning-based model to predict topics contributing to Sustainable Development Goals: A study of Latin American and European Countries. in S Sargsyan, W Glänzel & G Abramo (eds), The 20th International Society for Scientometrics and Informetrics (ISSI) Conference: Shaping the Future: New Horizons in the Science of Science. vol. 2, International Society for Scientometrics and Informetrics (ISSI), Yerevan, Shaping the Future: New Horizons in the Science of Science, Yerevan, Armenia, 23/06/25. https://doi.org/10.51408/issi2025_176

Machine learning-based model to predict topics contributing to Sustainable Development Goals: A study of Latin American and European Countries. / Lancho Barrantes, Barbara S.
The 20th International Society for Scientometrics and Informetrics (ISSI) Conference: Shaping the Future: New Horizons in the Science of Science. ed. / Shushanik Sargsyan; Wolfgang Glänzel; Giovanni Abramo. Vol. 2 Yerevan: International Society for Scientometrics and Informetrics (ISSI), 2025.

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

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T1 - Machine learning-based model to predict topics contributing to Sustainable Development Goals

T2 - Shaping the Future: New Horizons in the Science of Science

AU - Lancho Barrantes, Barbara S.

PY - 2025/6/23

Y1 - 2025/6/23

N2 - This study analyses SDG 3 (Good Health and Well-being) research from the top 10 publishing countries in Latin America and Europe, using data from OpenAlex. Through data analysis and machine learning, it identifies regional health priorities and predicts future research trends. The findings highlight the thematic divergence between world regions and call for context-aware bibliometric strategies to better support global development goals.

AB - This study analyses SDG 3 (Good Health and Well-being) research from the top 10 publishing countries in Latin America and Europe, using data from OpenAlex. Through data analysis and machine learning, it identifies regional health priorities and predicts future research trends. The findings highlight the thematic divergence between world regions and call for context-aware bibliometric strategies to better support global development goals.

UR - https://issi2025.iiap.sci.am/

UR - https://www.issi-society.org/publications/issi-conference-proceedings/

U2 - 10.51408/issi2025_176

DO - 10.51408/issi2025_176

M3 - Conference contribution with ISSN or ISBN

SN - 9789939120867

VL - 2

BT - The 20th International Society for Scientometrics and Informetrics (ISSI) Conference

A2 - Sargsyan, Shushanik

A2 - Glänzel, Wolfgang

A2 - Abramo, Giovanni

PB - International Society for Scientometrics and Informetrics (ISSI)

CY - Yerevan

Y2 - 23 June 2025 through 27 June 2025

ER -

Lancho Barrantes BS. Machine learning-based model to predict topics contributing to Sustainable Development Goals: A study of Latin American and European Countries. In Sargsyan S, Glänzel W, Abramo G, editors, The 20th International Society for Scientometrics and Informetrics (ISSI) Conference: Shaping the Future: New Horizons in the Science of Science. Vol. 2. Yerevan: International Society for Scientometrics and Informetrics (ISSI). 2025 doi: 10.51408/issi2025_176

Machine learning-based model to predict topics contributing to Sustainable Development Goals: A study of Latin American and European Countries

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