PhD student: Mr. Yogesh Deshmukh

Tutor: Prof. Ashok Saraf

 

University of Pune, India

 

Traditionally, the South and especially the Poor have been pushed into subsistence level existence and denied equality in due share for access to global social and natural resources. In the post digital era, we can see potential for changing this practice through the digital empowerment of the poor with assured equality in access to network, information, knowledge, data, software tools and, most important, with the supportive power of Artificial Intelligence (AI) in tackling problems beyond their capacity.

Magarpatta city, which was developed as a completely autonomous cybercity within the limits of Pune city in India  by farmers’ families empowered by education in civil engineering and management, is a living example of what such empowerment can do. ( www.magarpattacity.com) (Created by Management expert Mr. Satish Magar and Engineering expert Mr. Umesh Magar of the Magar family clan, the land owners of farmland near Pune.)

With the total management of such an urban conglomerate through Digital means, farmers can do away with the typical middlemen, such as investors, managers or government representatives, and build their own cities to initiate migration reversal from the North to the South. As owners of such cities, the traditional poor South actually plays host to the future of the North.

The next step in further empowerment is to put high end maintenance capabilities in the hands of the new urban creators of distributed cities in order to combine civil engineering with AI to allow the use of ecofriendly materials for structures, predictive analyses of buildings, bridges, and other structures.

The proposed research project explores the application of AI through civil engineering and aims at preparing the future practice of construction and maintenance empowered by the Internet of Things and AI tools. Computers and AI could thus be key enablers for issues related to Poverty and Equality especially in the North and South context.