Elsevier,

Artificial Intelligence and Data Science in Environmental Sensing: Cognitive Data Science in Sustainable Computing, 2022, pp 93-108

This chapter advances the UN SDG goals 9, 12, and 13 by discussing the potential of AI to overcome socioenvironmental challenges such as unsustainable resource consumption and poor management of natural disaster responses.
Links to SDG6 and the theme of WWD as it covers the presence of emerging pollutants in aquatic systems such as rivers, lakes, groundwater, glaciers, wetlands, the ocean poses significant risks to human and environmental health.
This Study explores the racial disparities that exist in the emergency departments of 4 hospitals, when they are most prevalent, and how patients' sociodemographic characterstics impact image acquisition time, raising awareness for SDGs 3, 9 and 10.
This chapter aligns with Goal 14: Life Below Water and Goal 9: Industry, innovation and infrastructure by describing the advancements in scientific data collection capabilities afforded by the innovation and use of oceanographic buoys.
This chapter aligns with Goal 14: Life Below Water and Goal 9: Industry, Innovation and Infrastructure by highlighting some of the many beneficial biocomposite applications of marine-derived byproducts.
Mobility as a Service (MaaS) is a recent concept that is gaining momentum in both the scientific world and the private sector.
Elsevier,

Journal of Responsible Technology, Volume 9, April 2022, 100024

A study of the risks from emerging technologies, such as artificial intelligence, and their disproportionate impact on particularly vulnerable individuals or groups in a community. The authors identify and map types of harms or injustices experienced in the digital space to understand how they are translated into rights violations by adjudicative bodies. Racial structural injustice is one aspect of the research.
Elsevier,

Scheduling and Operation of Virtual Power Plants: Technical Challenges and Electricity Markets, Volume , 28 January 2022

This chapter advances SDG goals 7 and 9 by demonstrating ways of predicting demand and supply when using unpredictable renewable energy sources.
Elsevier,

Wajid Umar, Muhammad Zia ur Rehman, Muhammad Umair, Muhammad Ashar Ayub, Asif Naeem, Muhammad Rizwan, Husnain Zia, Rama Rao Karri,

Chapter 10 - Use of nanotechnology for wastewater treatment: potential applications, advantages, and limitations,

Editor(s): Janardhan Reddy Koduru, Rama Rao Karri, Nabisab Mujawar Mubarak, Erick R. Bandala,

In Micro and Nano Technologies,

Sustainable Nanotechnology for Environmental Remediation,

Elsevier,

2022,

Pages 223-272,

ISBN 9780128245477,

https://doi.org/10.1016/B978-0-12-824547-7.00002-3

This chapter contributes to SDG 6 by introducing technologies for wastewater treatment.
A Review on food technology, in the context of SDGs 3 and 9, focusing specifically on the potential clinical applications of food-based substances, especially agro-waste and food processing byproducts.

Pages