Elsevier,

Earth Observation in Urban Monitoring: Techniques and Challenges, 2024, pp 291-307

This chapter advances the UN SDG goals 9 and 13 by discussing the potential of AI tools to advance sustainable urban climate modeling.
Knowledge of biological diversity is a major source of innovation. Collective intellectual property of traditional knowledge by Indigenous peoples and local communities is an important source of innovation and product development. This article investigates collective intellectual property systems on the traditional knowledge of Aspalathus linearis, also known as rooibos—an endemic plant from South Africa which is the basis of an important herbal tea industry. The article discusses how collective action and self-organization can generate collective intellectual property systems; indigenous peoples and local communities can develop these systems to protect their IP; how these systems can promote social justice and a more equitable distribution of benefits but can be sources of dispute between socio-economic groups and communities and can reproduce historical inequalities and power asymmetries.
This chapter aligns with Goals 6, 9 and 11 by detailing remote sensing for environmental considerations, water resource management, land use changes on urban heat islands, urban growth modeling and ecological monitoring
In this context, the present study has a primary research objective: to develop a research agenda for entrepreneurial action, identifying key aspects related to STI and the SDGs, and to explore how both concepts are interconnected.
This chapter aligns with SDG Goal 5: Gender equality and Goal 9: Industry, innovation and infrastructure by exploring how to impactfully develop industries like sea cucumber aquaculture to empower women's growth within the industry.
This chapter advances the UN SDG goals 9 and 15 by reviewing how industry and infrastructure development can infringe on snow leopard habitat and how sustainable business drivers can encourage companies to engage in biodiversity conservation efforts.
The results of this study, which looks at the emissions and performance of the ICE fueled by ethanol, are in line with SDGs 7 and 13. Regarding optimization and prediction, the distinctive combination of ANN and RSM encourages sustainable industrialization, more conscientious consumption, and more ethical production patterns. All these are crucial components of SDGs 9 and 12. To make refined decisions and achieve improved performance and emissions, this research can benefit engine producers and researchers. This alliance between scholars and industry stakeholders supports SDG 17 (Partnerships for the Goals), which also encourages knowledge-sharing to advance the SDGs as a whole.
This article tackles the issue of high energy consumption created by data centers. They find an immediate way to quickly mitigate some of the massive energy sink is by simply operating data centers at higher temperatures. As such, this article supports SDGs 9 (ensuring data centers that are key to current society are sustainable) and 13 (a rapid solution to immediately reduce fossil-fuel driven energy consumption).

UN's Summit of the Future 2024: Paving the Path for SDG Resources

In China, renewable energy technological innovation (RETI) is the core pathway to addressing climate change and achieving carbon neutrality. Using the dataset from 30 provinces in China during 2007–2018, this paper provides a detailed analysis of the moderating role of Intellectual Property Rights protection in RETI's impact on carbon emissions. A deeper understanding of the impact of intellectual property rights (IPR) protection on the carbon reduction effect of RETI can provide policymakers with more specific information to support SDG 7 and 13.

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