Using artificial intelligence to implement the UN sustainable development goals at higher education institutions

Leal Filho, Walter; Ribeiro, Priscilla Cristina Cabral; Mazutti, Janaina; Lange Salvia, Amanda; Bonato Marcolin, Carla; Lima Silva Borsatto, Jaluza Maria; Sharifi, Ayyoob; Sierra, Javier; Luetz, Johannes; Pretorius, Rudi; Viera Trevisan, Laís

doi:10.1080/13504509.2024.2327584

International Journal of Sustainable Development & World Ec

2024

DOI: 10.1080/13504509.2024.2327584

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Using artificial intelligence to implement the UN sustainable development goals at higher education institutions

Walter Leal Filho,

Priscilla Cristina Cabral Ribeiro,

Janaina Mazutti

et al.

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2024

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Cited by 11 publications

References 79 publications

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Forecasting sustainable development goals scores by 2030 using machine learning models

Chenary,

Pirian Kalat,

Sharifi

2024

Sustainable Development

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The Sustainable Development Goals (SDGs) set by the United Nations are a worldwide appeal to eliminate poverty, preserve the environment, address climate change, and guarantee that everyone experiences peace and prosperity by 2030. These 17 goals cover various global issues concerning health, education, inequality, environmental decline, and climate change. Several investigations have been carried out to track advancements toward these goals. However, there is limited research on forecasting SDG scores. This research aims to forecast SDG scores for global regions by 2030 using ARIMAX and LR (Linear Regression) smoothed by HW (Holt‐Winters') multiplicative technique. To enhance model performance, we used predictors identified from the SDGs that are more likely to be influenced by Artificial Intelligence (AI) in the future. The forecast results for 2030 show that “OECD countries” (80) (with a 2.8% change) and “Eastern Europe and Central Asia” (74) (with a 2.37% change) are expected to achieve the highest SDG scores. “Latin America and the Caribbean” (73) (with a 4.17% change), “East and South Asia” (69) (with a 2.64% change), “Middle East and North Africa” (68) (with a 2.32% change), and “Sub‐Saharan Africa” (56) (with a 7.2% change) will display lower levels of SDG achievement, respectively.

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Forecasting sustainable development goals scores by 2030 using machine learning models

Chenary,

Pirian Kalat,

Sharifi

2024

Sustainable Development

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Adoption of artificial intelligence in higher education: an empirical study of the UTAUT model in Indian universities

Sharma,

Singh

2024

Int J Syst Assur Eng Manag

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Modelling the influence of antecedents of artificial intelligence on academic productivity in higher education: a mixed method approach

Segbenya,

Senyametor,

Aheto

et al. 2024

Cogent Education

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Using artificial intelligence to implement the UN sustainable development goals at higher education institutions

Cited by 11 publications

References 79 publications

Forecasting sustainable development goals scores by 2030 using machine learning models

Forecasting sustainable development goals scores by 2030 using machine learning models

Adoption of artificial intelligence in higher education: an empirical study of the UTAUT model in Indian universities

Modelling the influence of antecedents of artificial intelligence on academic productivity in higher education: a mixed method approach

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