From Research to Impact: Mapping BRIN Publications to SDGs Using Topic Modeling
Abstract
Monitoring institutional research contributions to the Sustainable Development
Goals (SDGs) is becoming increasingly crucial for evidence-based decision-making
in academic and research libraries. In the era of big data, libraries not only store publications
but also support research analysis and visualization to develop institutional strategies.
Researchers at the National Agency for Research and Innovation (BRIN)1 in Indonesia
have taken an innovative approach by using topic modeling methods, specifically Latent
Dirichlet Allocation (LDA), to develop an application that automatically classifies institutional
publications into SDG categories
Goals (SDGs) is becoming increasingly crucial for evidence-based decision-making
in academic and research libraries. In the era of big data, libraries not only store publications
but also support research analysis and visualization to develop institutional strategies.
Researchers at the National Agency for Research and Innovation (BRIN)1 in Indonesia
have taken an innovative approach by using topic modeling methods, specifically Latent
Dirichlet Allocation (LDA), to develop an application that automatically classifies institutional
publications into SDG categories
Copyright Rumadi, Ambar Yoganingrum, Abdurrakhman APrasetyadi, Aria Bisri, Stevry Yushady
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