2026-05-26T10:50:48Z https://api.figshare.com/v2/oai

oai:figshare.com:article/27692952 2024-11-14T11:34:19Z category_28828 category_27532 category_27637 portal_549 item_type_3 month_year_11_2024

10.5522/04/27692952.v3 https://figshare.com/articles/dataset/Source_Data_-_AI_for_Development_Planning_Systematic_Review/27692952 https://ndownloader.figshare.com/files/50819190 Anggunia, Sofiarti Sofiarti Anggunia 0009-0009-6846-5326 Sowell, Jesse Jesse Sowell Perez Ortiz, Maria Maria Perez Ortiz Artificial life and complex adaptive systems Development studies not elsewhere classified Public policy AI Development Planning Public Policy 2024-11-28 2024-11-28 Dataset 2024 University College London This dataset was curated specifically for the study presented in the paper, Decoding Development: The AI Frontier in Policy Crafting - A Systematic Review. It comprises 208 peer-reviewed publications that examine the integration of artificial intelligence (AI) and machine learning (ML) in policy planning and development. Each dataset entry includes detailed metadata, such as planning context, policy planning stage (e.g., problem diagnosis, resource allocation, outcome projection), specific Sustainable Development Goals (SDGs) addressed, and documented applications of AI/ML models. Systematically constructed, the dataset enables cross-sectional and comparative analyses, capturing the distribution and intensity of AI/ML applications across different stages of the policy planning cycle and economic contexts. By organizing data on each publication’s thematic focus and methodological approaches, this dataset facilitates a nuanced analysis of research trends, identifies existing gaps, and examines the role of smart algorithms in advancing development-oriented policy.

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