Resumen
Abstract– With rising environmental concerns, effective SolidWaste Management (SWM) at Higher Education Institutions (HEIs)has emerged as a critical part of global sustainability efforts. Theseinstitutions are not only education and research environments, butthey are also major generators of specific types of waste, requiringinnovative SWM strategies. This review explores current SWMmethods, focusing on the role of statistical modeling in helping toimprove these strategies, due to their ability to identify trends in wastegeneration. Utilizing VOSviewer for a detailed bibliometric analysis,the study identifies current scenarios and strategies in this researcharea. The unique characteristics and resources of HEIs show theimportance of designing specialized SWM models. A significantoutcome is the importance of social elements; comprehensive surveysthat may include demographic and socioeconomic data areimportant in establishing competent SWM programs. It suggests thatthese surveys can provide significant data about behavioral patternsthat may affect SWM. These models can offer relevant information,allowing HEIs to successfully adjust their programs, making asignificant contribution to campus sustainability and broaderenvironmental goals.
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