This content aligns with Goal 3: Good Health and Goal 9: Industry, Innovation and Infrastructure by discussing the relation between memory, emotion, and mental health, as well as the impacts of technological innovations such as social media.
It is at the crossover of good health and wellbeing and innovation in industry. Depression is now a prevalent mental illness and multimodal data-based depression detection is an essential topic of research.
Building Information Modeling (BIM) maturity assessment framework for the operation and maintenance (O&M) phase of construction projects save time and cost in the project life cycle. The framework has been succesfully applied to the Wuhan Jiangxia Sewage Treatment Plant project.
This chapter aligns with Goals 9, 11, and 13 by focusing on the use of renewable and recyclable materials, as well as adoption of methods to reduce energy consumption and waste.

Recent scholarly endeavors in the domain of Cyber Intelligence have unveiled its multifaceted implications, intricately interwoven with various Sustainable Development Goals (SDGs), notably encompassing Goal 9 (Industry, Innovation, and Infrastructure), Goal 11 (Sustainable Cities and Communities), Goal 16 (Peace, Justice and Strong Institutions), among others.

Elsevier,

Measurement: Journal of the International Measurement Confederation, Volume 226, 28 February 2024

This paper seeks to contribute to pipeline leakage detection research through collecting and simulating leakage signals under different pressure strengths by combining experiments with numerical simulation. The findings point towards better detection in a real noise environment. Such research is vital in the context of increasing worldwide demand for water and insufficient water supply caused by pipeline leakage.
This chapter aligns with Goals 9, 11, 12 by emphasizing the responsible disposal of toxic building materials and providing guidance on selecting materials that have a positive effect on the health of occupants and the environment.
Elsevier, Cell Reports Physical Science, Volume 5, 21 February 2024
This review investigates the emerging market for Direct Air Capture (DAC) technology, which is crucial for mitigating climate change by actively removing $\text{CO}_2$ from the atmosphere. By detailing the technologies used by over 50 DAC startups and identifying their potential customers, this work aims to accelerate the worldwide commercial deployment of a technology necessary to meet global temperature limits.
The content aligns with SDG 12 (Responsible Consumption and Production) by promoting the valorization of agroindustrial residues like rice bran to reduce waste and create value-added products. It also supports SDG 9 (Industry, Innovation, and Infrastructure) through its focus on research and development for industrial applications in biorefinery systems.

Recent advances in Artificial Intelligence (AI) research have opened up new opportunities for leveraging AI research for societal impacts. AI research offers novel ways of tackling societal problems including environmental, health, and education challenges. Despite the potential, there are limited documented use cases and methodologies for translating AI research to societal impact at a large scale. This paper presents AirQo, an AI and advanced technology-driven use case for urban environmental pollution monitoring and modelling and the resulting societal impacts that have been realised.

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