The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Future of Water: Challenges and Potential Solution Pathways Using a Nexus of Exponential Technologies and Transdisciplinarity
|
|
Author(s): Ashok Vaseashta (International Clean Water Institute, USA & Transylvania University of Brasov, Romania & Academy of Sciences of Moldova, Moldova)
Copyright: 2022
Pages: 27
Source title:
Handbook of Research on Water Sciences and Society
Source Author(s)/Editor(s): Ashok Vaseashta (International Clean Water Institute, USA & Transylvania University of Brasov, Romania & Academy of Sciences of Moldova, Moldova), Gheorghe Duca (Institute of Chemistry, Moldova State University, Moldova & Academy of Science of Moldova and Romanian Academy, Romania.)and Sergey Travin (Federal Research Center for Chemical Physics and N. N. Semenov of the Russian Academy of Sciences, Russia)
DOI: 10.4018/978-1-7998-7356-3.ch002
Purchase
|
Abstract
We live in a fancy world of global digitization, decarbonization, artificial intelligence, smart and connected cities using 5/6G, biomimicking, and 3/4D printing living organs, yet the two looming challenges to human existence are climate change and water shortages. The two “grand” challenges contrast each other in that, while the former would affect society as a whole, the latter would affect every individual for the basic existence. Whilst existing megatrends dealing with sustainability brace themselves to mitigate global warming, it seems that, scientifically, we are unacceptably equipped to address the issue of water shortages. It is critical to articulate the future of water, which includes a paradigm shift in its production, use, reuse, recycle, and discharge. This chapter reimagines the future of water from a holistic standpoint including transdisciplinary research. The topic must be approached from a fundamental viewpoint to include historical perspectives, nature, and the latest technology advances (viz., artificial intelligence, deep learning, and exponential technologies).
Related Content
|
Nalluri Poojitha, B. Ramya Kuber, Ambati Vanshika.
© 2024.
24 pages.
|
|
Mandeep Kaur, Rajni Aron, Heena Wadhwa, Righa Tandon, Htet Ne Oo, Ramandeep Sandhu.
© 2024.
26 pages.
|
|
Richa Saxena, Vaishnavi Srivastava, Dipti Bharti, Rahul Singh, Amit Kumar, Abhilekha Sharma.
© 2024.
20 pages.
|
|
Inzimam Ul Hassan, Zeeshan Ahmad Lone, Swati Swati, Aya Gamal.
© 2024.
23 pages.
|
|
Rakhi Chauhan, Neera Batra, Sonali Goyal, Amandeep Kaur.
© 2024.
16 pages.
|
|
Risha Dhargalkar, Viosha Cruz, Abdullah Alzahrani.
© 2024.
17 pages.
|
|
Dipankar Ghosh, Sayan Adhikary, Srijaa Sau.
© 2024.
25 pages.
|
|
|