This study presents a systematic literature review on the reuse of Arundo donax as a secondary renewable raw material for sustainable construction. Originally classified as a dangerously invasive species by the International Union for Conservation of Nature (IUCN), Arundo donax has recently gained recognition as a non-conventional promising biomass resource, particularly in the context of green innovation and circular economy strategies in light of the European Green Deal and the New European Bauhaus initiatives. This review combines bibliometric mapping and full-text analysis, leading to the selection of 20 peer-reviewed studies, thematically clustered into two main application areas: the development of panels and composites with improved mechanical, thermal, and acoustic performance; and the use of this species in geotechnical or low-tech solutions, such as earth construction and erosion control. While most contributions are recent and technically oriented, this review highlights several critical gaps, such as the lack of standardized testing protocols, the limited number of environmental assessments, and the absence of long-term performance evaluations. Despite these limitations, the considered biomass shows significant potential to support regenerative design strategies for the built environment. Future research should prioritize comparative LCA studies, industrial scalability, and the formulation of guidelines to integrate Arundo donax-based materials into sustainable construction practices.

The management and reuse of Olive Oil Mill Wastewater (OOMW) represent a critical challenge and opportunity for promoting sustainable practices in the agro-industrial sector. While OOMW is traditionally viewed as an environmental burden, it also contains valuable organic compounds with potential for recovery and reuse. This study adopts a bibliometric approach supported by information systems to analyze current research trends and emerging technologies for OOMW treatment. By integrating data from the Scopus database and visualizing results with VOSviewer, the analysis identifies thematic clusters and interdisciplinary connections, revealing a growing interest in the digital transformation of wastewater management. Key findings highlight the increasing adoption of smart technologies—such as Internet of Things (IoT) sensors, machine learning algorithms, and real-time decision-support systems—for monitoring, optimizing, and valorizing OOMW. These digital tools not only enhance treatment efficiency but also enable dynamic resource allocation and support circular economy strategies. The study concludes that the convergence between environmental technologies and information systems is reshaping the future of OOMW management, paving the way for intelligent, sustainable, and data-driven solutions in the olive oil industry.